default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, December 2022
- Alexandra Kitson:
Investigating the Feasibility of Virtual Reality for Emotion Regulation with Youth. - Xinquan Wen, Yiying Wu:
Slowing Plants, Slowing Home. - Savera Sarwar, Muhammad Turab
, Danish Channa, Aisha Chandio, M. Uzair Sohu, Vikram Kumar:
Advanced Audio Aid for Blind People. - Vikas Raunak, Matt Post, Arul Menezes:
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models. - Yi Yang, Zhong-Qiu Zhao, Quan Bai, Qing Liu, Weihua Li:
A Light-weight, Effective and Efficient Model for Label Aggregation in Crowdsourcing. - Alan Wang, Feng Yi Chang, Siavash Yousefi, Beatrice Li, Brad Campbell, Arsalan Heydarian:
The Hitchiker's Guide to Successful Living Lab Operations. - Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann, Wil M. P. van der Aalst:
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study. - Maria S. Filipkovska:
Combined numerical methods for solving time-varying semilinear differential-algebraic equations with the use of spectral projectors and recalculation. - Vivien van Veldhuizen:
Autotuning PID control using Actor-Critic Deep Reinforcement Learning. - Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran:
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning. - Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji:
Knowledge-augmented Deep Learning and Its Applications: A Survey. - Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii:
Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities. - Zhengyang Duan, Hang Chen, Xing Lin:
Optical multi-task learning using multi-wavelength diffractive deep neural networks. - Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu:
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation. - Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew J. W. Streeter:
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics. - Minjia Shi, Yuhong Xia, Denis S. Krotov:
A family of diameter perfect constant-weight codes from Steiner systems. - Zhonglin Sun, Georgios Tzimiropoulos:
Part-based Face Recognition with Vision Transformers. - Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. - Sascha Kurz:
Capacity of generalized diamond networks. - Christeen T. Jose:
Auxiliary Learning as a step towards Artificial General Intelligence. - Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen:
Differentially Private Enhanced Permissioned Blockchain for Private Data Sharing in Industrial IoT. - Tushar Agarwal, Nithin Sugavanam, Emre Ertin:
MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution. - Hao Ding, Jie Ying Wu, Zhaoshuo Li, Mathias Unberath:
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints. - Miranda Christ, Mihalis Yannakakis:
The Smoothed Complexity of Policy Iteration for Markov Decision Processes. - Kishaloy Halder, Josip Krapac, Alan Akbik, Anthony Brew, Matti Lyra:
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification. - Sai Pranav Koyyada, Denim Deshmukh, Deepika Badampudi, Vida Ahmadi, Muhammad Usman:
Towards automated open source assessment - An empirical study. - Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni:
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines. - Aaron Paul M. Dela Rosa, Luigi Miguel M. Villanueva, John Mardy R. San Miguel, John Emmanuel B. Quinto:
Web-based Database Courses E-Learning Application. - Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan:
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models. - Dimitrios G. Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios C. Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos C. Spandonidis, Alexandros K. Pantazis, Nikolaos S. Tachos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. - Zohreh Shaghaghian, Heather Burte, Dezhen Song, Wei Yan:
An Augmented Reality Application and User Study for Understanding and Learning Spatial Transformation Matrices. - Hugo Carrillo Lincopi, Alden Waters, Teke Xu:
Approximation of the non-linear water hammer problem by a Lax-Wendroff finite difference scheme. - Seth Karten, Mycal Tucker, Siva Kailas, Katia P. Sycara:
Towards True Lossless Sparse Communication in Multi-Agent Systems. - Jory Schossau, Bamshad Shirmohammadi, Arend Hintze:
Incentivising cooperation by rewarding the weakest member. - Karlis Freivalds, Sergejs Kozlovics:
Denoising Diffusion for Sampling SAT Solutions. - Yuxuan Chen, Timothy D. Barfoot:
Self-Supervised Feature Learning for Long-Term Metric Visual Localization. - Marc Rigter, Bruno Lacerda, Nick Hawes:
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning. - Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen:
An Optimized Privacy-Utility Trade-off Framework for Differentially Private Data Sharing in Blockchain-based Internet of Things. - Deep Shankar Pandey, Qi Yu:
Evidential Conditional Neural Processes. - Jonathan Geuter, Vaios Laschos:
Generative Adversarial Learning of Sinkhorn Algorithm Initializations. - Yingtai Xiao, Guanhong Wang, Danfeng Zhang, Daniel Kifer:
Answering Private Linear Queries Adaptively using the Common Mechanism. - Abrar Alali, Stephan Olariu, Shubham Jain:
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic. - Bryan Li:
Word Alignment in the Era of Deep Learning: A Tutorial. - Irish Mehta, Aashal Kamdar:
Movie Recommendation System using Composite Ranking. - Bhagyashri Telsang, Seddik M. Djouadi:
A Novel Framework for Decentralized Dynamic Resource Allocation Using Voronoi Tessellations. - Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. - Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch:
Deep Learning-Based Vehicle Speed Prediction for Ecological Adaptive Cruise Control in Urban and Highway Scenarios. - Mustafa Can Gursoy, Urbashi Mitra:
Two-sided Delay Constrained Scheduling: Managing Fresh and Stale Data. - Parinaz Barakhshan, Rudolf Eigenmann:
A comparison between Automatically versus Manually Parallelized NAS Benchmarks. - David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan:
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking. - Mingxiao Li, Zehao Wang, Tinne Tuytelaars, Marie-Francine Moens:
Layout-aware Dreamer for Embodied Referring Expression Grounding. - Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik, Tomas Pfister:
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. - Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. - Alex Beaudin, Hsiu-Chin Lin:
Learning Agile Paths from Optimal Control. - Thomas T. C. K. Zhang, Katie Kang, Bruce D. Lee, Claire J. Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni:
Multi-Task Imitation Learning for Linear Dynamical Systems. - Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski:
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. - Logan E. Beaver, Max Sokolich, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta:
Learning for Control of Rolling ubots. - Sayan Bhattacharya, Peter Kiss, Thatchaphol Saranurak:
Sublinear Algorithms for (1.5+ε)-Approximate Matching. - Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Huaping Liu:
Mixed Neural Voxels for Fast Multi-view Video Synthesis. - Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu:
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. - Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. - Hamish Ivison, Noah A. Smith, Hannaneh Hajishirzi, Pradeep Dasigi:
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors. - Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Ran Liu, Keng Hua Chong, Chau Yuen:
Clustering and Analysis of GPS Trajectory Data using Distance-based Features. - Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell:
Shape-Guided Diffusion with Inside-Outside Attention. - Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. - Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification. - Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou:
Experimental Observations of the Topology of Convolutional Neural Network Activations. - Wonjin Yoon, Richard Jackson, Elliot Ford, Vladimir Poroshin, Jaewoo Kang:
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework. - Hu Lu, Xuezhang Zou, Pingping Zhang:
Learning Progressive Modality-shared Transformers for Effective Visible-Infrared Person Re-identification. - Maojun Zhang, Yang Li, Zezhong Zhang, Guangxu Zhu, Caijun Zhong:
Wireless Image Transmission with Semantic and Security Awareness. - N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney:
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback. - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. - Xu Zhang, Marcos M. Vasconcelos:
Top-k data selection via distributed sample quantile inference. - Bin Sun, Shaoxiong Feng, Yiwei Li, Weichao Wang, Fei Mi, Yitong Li, Kan Li:
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder. - Kangfu Mei, Vishal M. Patel:
VIDM: Video Implicit Diffusion Models. - Ruibin Yuan, Hanzhi Yin, Yi Wang, Yifan He, Yushi Ye, Lei Zhang:
Noisy Label Detection for Speaker Recognition. - Xidong Peng, Xinge Zhu, Yuexin Ma:
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection. - Ngoc Duy Pham, Tran Khoa Phan, Alsharif Abuadbba, Doan Nguyen, Naveen K. Chilamkurti:
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy. - Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Xinyi Gu, Mohammad Rowshan, Jinhong Yuan:
Selective Reverse PAC Coding for Sphere Decoding. - (Withdrawn) Face Animation with Multiple Source Images.
- Yu-Zhe Shi, Manjie Xu, Wenjuan Han, Yixin Zhu:
To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts. - Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. - Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir:
Task Discovery: Finding the Tasks that Neural Networks Generalize on. - Yi-Si Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng:
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. - Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino, Sandesh Swamy, Saarthak Khanna, Weiqi Sun, Haidar Khan:
PIZZA: A new benchmark for complex end-to-end task-oriented parsing. - Shiting Xiao, Yufu Wang, Ammon Perkes, Bernd Pfrommer, Marc F. Schmidt, Kostas Daniilidis, Marc Badger:
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary. - Hassan Almubarak, Manan Gandhi, Yuichiro Aoyama, Nader Sadegh, Evangelos A. Theodorou:
Gaussian Process Barrier States for Safe Trajectory Optimization and Control. - Wenlong Wang, Thomas Pfeiffer:
Decision Market Based Learning For Multi-agent Contextual Bandit Problems. - Hongzhi Zhu, Robert Rohling, Septimiu E. Salcudean:
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure. - Anushri Dixit, Lars Lindemann, Skylar Wei, Matthew Cleaveland, George J. Pappas, Joel W. Burdick:
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents. - Jialian Wu, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang:
GRiT: A Generative Region-to-text Transformer for Object Understanding. - Zhuowan Li, Cihang Xie, Benjamin Van Durme, Alan L. Yuille:
Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? - Manuel Baltieri, Hiroyuki Iizuka, Olaf Witkowski, Lana Sinapayen, Keisuke Suzuki:
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems. - Zhexi Fu, Joseph Y. J. Chow:
Dial-a-ride problem with modular platooning and en-route transfers. - Wentai Zhang, Joe Joseph, Yue Yin, Liuyue Xie, Tomotake Furuhata, Soji Yamakawa, Kenji Shimada, Levent Burak Kara:
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks. - Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin:
The Effect of Data Dimensionality on Neural Network Prunability. - Zixuan Zhang, Maitham Al-Sunni, Haoming Jing, Hirokazu Shirado, Yorie Nakahira:
Rethinking Safe Control in the Presence of Self-Seeking Humans. - Nan Jiang, Yi Gu, Yexiang Xue:
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. - Swati Swati, Adrian Mladenic Grobelnik, Dunja Mladenic, Marko Grobelnik:
A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines. - Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu:
Learning to Select from Multiple Options. - Zhongxiao Jia, Qingqing Zheng:
An analysis of the Rayleigh-Ritz and refined Rayleigh-Ritz methods for nonlinear eigenvalue problems. - Tuan-Luc Huynh, Khoi-Nguyen Nguyen-Ngoc, Chi-Bien Chu, Minh-Triet Tran, Trung-Nghia Le:
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages. - Wentao Hu, Hui Fang:
Decentralized Matrix Factorization with Heterogeneous Differential Privacy. - Tian Li, Manzil Zaheer, Ken Ziyu Liu, Sashank J. Reddi, H. Brendan McMahan, Virginia Smith:
Differentially Private Adaptive Optimization with Delayed Preconditioners. - Chenwei Cui, Zehao Yan, Guangshen Liu, Liangfu Lu:
Generalizing and Improving Jacobian and Hessian Regularization. - Cheng Guo, Fei Hu, Yan Hu:
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer. - Jatinder Kumar, Ashutosh Kumar Singh:
Security and Privacy-Preservation of IoT Data in Cloud-Fog Computing Environment. - Pengyu Qiu, Xuhong Zhang, Shouling Ji, Changjiang Li, Yuwen Pu, Xing Yang, Ting Wang:
Hijack Vertical Federated Learning Models with Adversarial Embedding. - Pengyu Qiu, Xuhong Zhang, Shouling Ji, Yuwen Pu, Ting Wang:
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning. - Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu, Weiqiang Wang:
Differentially Private Learning with Per-Sample Adaptive Clipping. - Chengbo Qiu, Kai Yang, Ji Wang, Shenjie Zhao:
AI Empowered Net-RCA for 6G. - Jasmin Brandt, Elias Schede, Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier, Kevin Tierney:
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration. - Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Mutual Information-based Generalized Category Discovery. - Jiazhao Zhang, Liu Dai, Fanpeng Meng, Qingnan Fan, Xuelin Chen, Kai Xu, He Wang:
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification. - Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. - Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammad Ameen, Srinivas Pusapati:
xEM: Explainable Entity Matching in Customer 360. - Aamir Hussain Chughtai, Muhammad Tahir, Momin Uppal:
Bayesian Heuristics for Robust Spatial Perception. - YuanFu Yang, Min Sun:
Semiconductor Defect Pattern Classification by Self-Proliferation-and-Attention Neural Network. - Mehregan Dor, Travis Driver, Kenneth Getzandanner, Panagiotis Tsiotras:
AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body - Theory and Experiments. - Simon Muntwiler, Kim Peter Wabersich, Robert Miklos, Melanie N. Zeilinger:
LQG for Constrained Linear Systems: Indirect Feedback Stochastic MPC with Kalman Filtering. - Kaibing Xie, Jian Yang, Kang Qiu:
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection. - Maximilian Brunner, Pascal Heid, Michael Innerberger, Ani Miraçi, Dirk Praetorius, Julian Streitberger:
Adaptive FEM with quasi-optimal overall cost for nonsymmetric linear elliptic PDEs. - Markus Gardill, Dominik Pearson, Julian Scharnagl, Klaus Schilling:
Towards Wireless Ranging and Synchronization using CubeSat Software-Defined Radio Subsystems. - Pengliang Yang, Rune Mittet:
Controlled-source electromagnetic modelling using high order finite-difference time-domain method on a nonuniform grid. - Nobuho Hashimoto, Shinya Takamaeda-Yamazaki:
FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design. - Zhiyi Huang, Yaowei Long, Thatchaphol Saranurak, Benyu Wang:
Tight Conditional Lower Bounds for Vertex Connectivity Problems. - Francisco Moreno-Mora, Lukas Beckenbach, Stefan Streif:
Predictive Control with Learning-Based Terminal Costs Using Approximate Value Iteration. - Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu:
Why Are Conditional Generative Models Better Than Unconditional Ones? - Olga A. Nevzorova, Konstantin Nikolaev:
Ontomathedu Ontology Enrichment Method. - Peter Juma Ochieng:
Deep neural network techniques for monaural speech enhancement: state of the art analysis. - Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo, Pingjia Liang:
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving. - Zichen Tian, Chuhui Xue, Jingyi Zhang, Shijian Lu:
Domain Adaptive Scene Text Detection via Subcategorization. - Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 3rd International Workshop on Reading Music Systems. - Jorge Calvo-Zaragoza, Alexander Pacha:
Proceedings of the 2nd International Workshop on Reading Music Systems. - Souha Masmoudi, Nesrine Kaaniche, Maryline Laurent:
SPOT: Secure and Privacy-preserving prOximiTy protocol for e-healthcare systems. - Bumgeun Park, Jihui Lee, Taeyoung Kim, Dongsoo Har:
Kick-motion Training with DQN in AI Soccer Environment. - Hubert Leterme, Kevin Polisano, Valérie Perrier, Karteek Alahari:
From CNNs to Shift-Invariant Twin Wavelet Models. - Augustinos D. Saravanos, Isin M. Balci, Efstathios Bakolas, Evangelos A. Theodorou:
Distributed Model Predictive Covariance Steering. - Yixiong Chen, Jingxian Li, Chris Ding, Li Liu:
Rethinking Two Consensuses of the Transferability in Deep Learning. - Grigorios A. Pavliotis, Andrea Zanoni:
A method of moments estimator for interacting particle systems and their mean field limit. - Qiong Chang, Masaki Onishi, Tsutomu Maruyama:
Fast convolution kernels on pascal GPU with high memory efficiency. - Pawel Przybylowicz, Verena Schwarz, Michaela Szölgyenyi:
Randomized Milstein algorithm for approximation of solutions of jump-diffusion SDEs. - Md. Sharifur Rahman, Girijesh Prasad:
A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease. - Eduard Eiben, Diptapriyo Majumdar, M. S. Ramanujan:
An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set. - Francesco Pierri, Luca Luceri, Nikhil Jindal, Emilio Ferrara:
Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine. - Sébastien Herbreteau, Charles Kervrann:
Unsupervised Linear and Iterative Combinations of Patches for Image Denoising. - Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft:
Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings. - Ammar Shaker, Carolin Lawrence:
Multi-Source Survival Domain Adaptation. - Miroslav Mitev, Arsenia Chorti, H. Vincent Poor, Gerhard P. Fettweis:
What Physical Layer Security Can Do for 6G Security. - Markus Grassl, Anna-Lena Horlemann, Violetta Weger:
The Subfield Metric and its Application to Quantum Error Correction. - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Regularization with Fake Features. - Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. - Octave Mariotti, Oisin Mac Aodha, Hakan Bilen:
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields. - Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi:
MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection. - Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. - Thomas Jahn, Tino Ullrich, Felix Voigtländer:
Sampling numbers of smoothness classes via 𝓁1-minimization. - Yoann Boget, Magda Gregorova, Alexandros Kalousis:
GrannGAN: Graph annotation generative adversarial networks. - Marc Alexa:
Tutte Embeddings of Tetrahedral Meshes. - Chaoyu Quan, Xu Wu, Jiang Yang:
Long time H1-stability of fast L2-1σ method on general nonuniform meshes for subdiffusion equations. - Victor Daniel Reyes Dreke, Mircea Lazar:
Consensus of hierarchical multi-agent systems with a time-varying set of active agents. - Yongqi Zhai, Luyang Tang, Yi Ma, Rui Peng, Ronggang Wang:
Disparity-based Stereo Image Compression with Aligned Cross-View Priors. - Zhuosheng Zhang, Hai Zhao, Masao Utiyama, Eiichiro Sumita:
Language Model Pre-training on True Negatives. - Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. - Meike Zehlike, Alex Loosley, Håkan Jonsson, Emil Wiedemann, Philipp Hacker:
Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law. - Eu Wern Teh:
Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images. - Nathan Elazar, Kerry Taylor:
Implicit Mixture of Interpretable Experts for Global and Local Interpretability. - An Mo, Fabio Izzi, Emre Cemal Gönen, Daniel F. B. Haeufle, Alexander Badri-Spröwitz:
Slack-based tunable damping leads to a trade-off between robustness and efficiency in legged locomotion. - Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama:
Efficient stereo matching on embedded GPUs with zero-means cross correlation. - Jindrich Helcl:
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task. - Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche:
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions. - Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim:
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning. - Wienke Strathern, Jürgen Pfeffer:
Identifying Different Layers of Online Misogyny. - Yitong Wang, Jun Zhao:
A Survey of Mobile Edge Computing for the Metaverse: Architectures, Applications, and Challenges. - Jingcheng Deng, Hengwei Dai, Xuewei Guo, Yuanchen Ju, Wei Peng:
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection. - Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes, Nitesh V. Chawla:
Privacy-Preserving Data Synthetisation for Secure Information Sharing. - Martin Popel, Jindrich Libovický, Jindrich Helcl:
CUNI Systems for the WMT22 Czech-Ukrainian Translation Task. - Qiong Chang, Tsutomu Maruyama:
Real-Time High-Quality Stereo Matching System on a GPU. - Yinhuai Wang, Jiwen Yu, Jian Zhang:
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model. - Jun Du, Bingqing Jiang, Chunxiao Jiang, Yuanming Shi, Zhu Han:
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems. - Maria Maistro, Lucas Chaves Lima, Jakob Grue Simonsen, Christina Lioma:
Principled Multi-Aspect Evaluation Measures of Rankings. - Zhaolin Wang, Xidong Mu, Jiaqi Xu, Yuanwei Liu:
Simultaneously Transmitting and Reflecting Surface (STARS) for Terahertz Communications. - Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. - Linbo Luo, Yuanjing Li, Haiyan Yin, Shangwei Xie, Ruimin Hu, Wentong Cai:
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning. - Rezvan Mahdavi-Hezaveh, Sameeha Fatima, Laurie A. Williams:
An Extended Model of Software Configuration. - Alberto Pozanco, Daniel Borrajo:
Fairness in Multi-Agent Planning. - Ta-Wei Tu:
Subquadratic Weighted Matroid Intersection Under Rank Oracles. - Sebastian Koch, Stefan Pasch:
CultureBERT: Fine-Tuning Transformer-Based Language Models for Corporate Culture. - Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu:
Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates. - Luke Hyman, Ivo F. Sbalzarini, Stephen Quake, Ulrik Günther:
Corvo: Visualizing CellxGene Single-Cell Datasets in Virtual Reality. - Ilya Kokorin, Alexander Fedorov, Trevor Brown, Vitaly Aksenov:
Unexpected Scaling in Path Copying Trees. - Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
CL4CTR: A Contrastive Learning Framework for CTR Prediction. - Basak Sakcak, Vadim Weinstein, Steven M. LaValle:
The Limits of Learning and Planning: Minimal Sufficient Information Transition Systems. - Sarah E. Carter:
A Value-Centered Exploration of Data Privacy and Personalized Privacy Assistants. - Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong:
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. - Rahul Sharma, Shrikanth Narayanan:
Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection. - Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa:
Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo. - Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas:
Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction. - Hongrui Zheng, Zirui Zang, Shuo Yang, Rahul Mangharam:
Towards Explainability in Modular Autonomous Vehicle Software. - Ting Zhang, DongGyun Han, Venkatesh Vinayakarao, Ivana Clairine Irsan, Bowen Xu, Ferdian Thung, David Lo, Lingxiao Jiang:
Duplicate Bug Report Detection: How Far Are We? - Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou:
Research on the application of contrastive learning in multi-label text classification. - Korbinian Randl, Núria Lladós Armengol, Lena Mondrejevski, Ioanna Miliou:
Early prediction of the risk of ICU mortality with Deep Federated Learning. - Miguel Rios, Ameen Abu-Hanna:
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift. - Lintai Wu, Qijian Zhang, Junhui Hou, Yong Xu:
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion. - Yutaka Momma, Weimin Wang, Edgar Simo-Serra, Satoshi Iizuka, Ryosuke Nakamura, Hiroshi Ishikawa:
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames. - Penny Johnston, Keiller Nogueira, Kevin Swingler:
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. - Manuel Cossio:
A perspective on the use of health digital twins in computational pathology. - Bolarinwa Olayemi Saheed:
Kernelization of Discrete Optimization Problems on Parallel Architectures. - Carlos Alberto Barrera Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng:
An enhanced simulation-based multi-objective optimization approach with knowledge discovery for reconfigurable manufacturing systems. - Danilo Carastan dos Santos:
Understanding the Energy Consumption of HPC Scale Artificial Intelligence. - Matthew Ciolino, Grant Rosario, David Noever:
Soft Labels for Rapid Satellite Object Detection. - Shaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu, Lei Zhao, Zhigang Chen:
Long-Document Cross-Lingual Summarization. - Frederico Dias Souza, João Baptista de Oliveira e Souza Filho:
Embedding generation for text classification of Brazilian Portuguese user reviews: from bag-of-words to transformers. - Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. - Yankai Lin, Michelle S. Chong, Carlos Murguia:
Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. - Jingchuan Chen, Wei Chen, Jing Li, Xiguang Wei, Wenzhe Tan, Zuo-Jun Max Shen, Hongbo Li:
Path Planning Considering Time-Varying and Uncertain Movement Speed in Multi-Robot Automatic Warehouses: Problem Formulation and Algorithm. - Yu Yuan, Jiaqi Wu, Zhongliang Jing, Henry Leung, Han Pan:
Ghost-free High Dynamic Range Imaging via Hybrid CNN-Transformer and Structure Tensor. - Gabriele Merlin, Mariya Toneva:
Language models and brain alignment: beyond word-level semantics and prediction. - Charles E. Thornton, R. Michael Buehrer:
When is Cognitive Radar Beneficial? - Ellie Pond, Matthew T. Hale:
Fast Verification of Control Barrier Functions via Linear Programming. - Jinghan Wang, Mengdi Wang, Lin F. Yang:
Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP. - Jackie Ayoub, Lilit Avetisian, X. Jessie Yang, Feng Zhou:
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures. - Franyell Silfa, José-María Arnau, Antonio González:
Exploiting Kernel Compression on BNNs. - Ziqi Yang, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang, Kui Ren:
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores. - Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner:
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation. - Tao Ge, Jing Hu, Li Dong, Shaoguang Mao, Yan Xia, Xun Wang, Si-Qing Chen, Furu Wei:
Extensible Prompts for Language Models. - Soumith Udatha, Yiwei Lyu, John M. Dolan:
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging. - Thanh-Dat Truong, Pierce Helton, Ahmed Moustafa, Jackson David Cothren, Khoa Luu:
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars. - Afsana Khan, Marijn ten Thij, Anna Wilbik:
Vertical Federated Learning: A Structured Literature Review. - Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. - Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. - Lennart Küll:
Analyzing the State of Computer Science Research with the DBLP Discovery Dataset. - Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Kian Hsiang Low:
Probably Approximate Shapley Fairness with Applications in Machine Learning. - Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. - Vanamala Venkataswamy, Jake Grigsby, Andrew Grimshaw, Yanjun Qi:
Launchpad: Learning to Schedule Using Offline and Online RL Methods. - Ainesh Bakshi, Piotr Indyk, Praneeth Kacham, Sandeep Silwal, Samson Zhou:
Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation. - Kristof Cools, Carolina Urzúa-Torres:
Calderón Preconditioning for Acoustic Scattering at Multi-Screens. - Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik:
One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. - Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. - Andrei Cramariuc, Lukas Bernreiter, Florian Tschopp, Marius Fehr, Victor Reijgwart, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
maplab 2.0 - A Modular and Multi-Modal Mapping Framework. - Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou, Symeon Papadopoulos:
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models. - Anupam Biswas:
Prasatul Matrix: A Direct Comparison Approach for Analyzing Evolutionary Optimization Algorithms. - Odysseas S. Chlapanis, Georgios Paraskevopoulos, Alexandros Potamianos:
Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis. - Luke Rickard, Thom S. Badings, Licio Romao, Nils Jansen, Alessandro Abate:
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics. - Shamel Fahmi:
On Terrain-Aware Locomotion for Legged Robots. - Ye Liu, Chen Shen:
Equivalent Inertia Provided by Droop Control of Fast Frequency Regulation Resources. - Moritz Scherer, Alfio Di Mauro, Tim Fischer, Georg Rutishauser, Luca Benini:
TCN-CUTIE: A 1036 TOp/s/W, 2.72 uJ/Inference, 12.2 mW All-Digital Ternary Accelerator in 22 nm FDX Technology. - B. Jalalzadeh Fard, S. A. Hasan, J. E. Bell:
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text. - Dominik Belter, Jakub Bednarek, Hsiu-Chin Lin, Guiyang Xin, Michael N. Mistry:
Single-shot Foothold Selection and Constraint Evaluation for Quadruped Locomotion. - Aras Bacho, Holger Boche, Gitta Kutyniok:
Complexity Blowup for Solutions of the Laplace and the Diffusion Equation. - Riza Velioglu, Jan Philip Göpfert, André Artelt, Barbara Hammer:
Explainable Artificial Intelligence for Improved Modeling of Processes. - Akanksha Agrawal, Tanmay Inamdar, Saket Saurabh, Jie Xue:
Clustering What Matters: Optimal Approximation for Clustering with Outliers. - Zhenrong Liu, Zongze Li, Miaowen Wen, Yi Gong, Yik-Chung Wu:
Simultaneously Transmitting and Reflecting RIS-Aided Mobile Edge Computing: Computation Rate Maximization. - Jiehua Chen, Sebastian Vincent Haydn, Negar Layegh Khavidaki, Sofia Simola, Manuel Sorge:
Game Implementation: What Are the Obstructions? - Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao:
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. - Nikita Jalodia, Mohit Taneja, Alan Davy:
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case. - Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. - Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Wanling Gao, Lei Wang, Mingyu Chen, Jin Xiong, Chunjie Luo, Wenli Zhang, Yunyou Huang, Weiping Li, Guoxin Kang, Chen Zheng, Biwei Xie, Shaopeng Dai, Qian He, Hainan Ye, Yungang Bao, Jianfeng Zhan:
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer. - Damiano Perri, Osvaldo Gervasi, Marco Simonetti, Sergio Tasso:
High Performance Computing and Computational Intelligence Applications with MultiChaos Perspective. - Trang Tran:
Predicting Digital Asset Prices using Natural Language Processing: a survey. - Xiaoqing Chen, Dongrui Wu:
Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces. - Amro M. Farid, Muhannad Alshareef, Parupkar Singh Badhesha, Chiara Boccaletti, Nélio Cacho, Claire-Isabelle Carlier, Amy Corriveau, Barry Liner, Joberto S. B. Martins, Farokh Rahimi, Rosaldo Rossetti, Wester C. H. Schoonenberg, Ashlynn Stillwell, Yinhai Wang:
Smart City Drivers and Challenges in Urban-Mobility, Health-Care, and Interdependent Infrastructure Systems. - Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He:
FuRPE: Learning Full-body Reconstruction from Part Experts. - Emily Hadley:
Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. - Jorge Pérez-Aracil, Carlos Camacho-Gómez, Eugenio Lorente-Ramos, Cosmin Madalin Marina, Sancho Salcedo-Sanz:
New Probabilistic-Dynamic Multi-Method Ensembles for Optimization based on the CRO-SL. - Félix Grèzes, Thomas Allen, Sergi Blanco-Cuaresma, Alberto Accomazzi, Michael J. Kurtz, Golnaz Shapurian, Edwin A. Henneken, Carolyn S. Grant, Donna M. Thompson, Timothy W. Hostetler, Matthew R. Templeton, Kelly E. Lockhart, Shinyi Chen, Jennifer Koch, Taylor Jacovich, Pavlos Protopapas:
Improving astroBERT using Semantic Textual Similarity. - Christian Kümmerle, Mauro Maggioni, Sui Tang:
Learning Transition Operators From Sparse Space-Time Samples. - Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Multimodal Query-guided Object Localization. - Urh Primozic, Ljupco Todorovski, Matej Petkovic:
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar. - Ioannis Vasileios Chremos, Andreas A. Malikopoulos:
Mechanism Design Theory in Control Engineering: A Tutorial and Overview of Applications in Communication, Power Grid, Transportation, and Security Systems. - Yinuo Ren, Hongli Zhao, Yuehaw Khoo, Lexing Ying:
High-dimensional density estimation with tensorizing flow. - Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, Michael L. Nelson:
Caching HTTP 404 Responses Eliminates Unnecessary Archival Replay Requests. - Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan:
Exploiting Socially-Aware Tasks for Embodied Social Navigation. - Ankit Gupta, Harsh Mehta, Jonathan Berant:
Simplifying and Understanding State Space Models with Diagonal Linear RNNs. - Ambar Pal, Arnau Ramisa, Amit Kumar K. C, René Vidal:
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection. - Michal Jamroz, Marcin Kurdziel:
Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks. - Alexandru Tifrea, Jacob Clarysse, Fanny Yang:
Uniform versus uncertainty sampling: When being active is less efficient than staying passive. - Gil Knafo, Ohad Fried:
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection. - Haochen Wang, Xiaodan Du, Jiahao Li, Raymond A. Yeh, Greg Shakhnarovich:
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation. - Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang:
ResFormer: Scaling ViTs with Multi-Resolution Training. - Marco Bressan, Gabriel Damay, Mauro Sozio:
Fully-Dynamic Decision Trees. - Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Universe Points Representation Learning for Partial Multi-Graph Matching. - Jonathan Kahana, Niv Cohen, Yedid Hoshen:
Improving Zero-Shot Models with Label Distribution Priors. - Junbum Cha, Jonghwan Mun, Byungseok Roh:
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs. - Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert W. Sumner, Francis Engelmann, Siyu Tang:
3D Segmentation of Humans in Point Clouds with Synthetic Data. - Benedikt Kolbeinsson, Krystian Mikolajczyk:
Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion. - Tal Reiss, Yedid Hoshen:
Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection. - Andrea Conti, Matteo Poggi, Stefano Mattoccia:
Sparsity Agnostic Depth Completion. - Zhizhuo Zhou, Shubham Tulsiani:
SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction. - Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara, Vishal M. Patel:
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models. - Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-training via Masking. - Xunjian LI, Guo-Liang Tian:
The upper-crossing/solution (US) algorithm for root-finding with strongly stable convergence. - Jiawei Guo, Yanzhong Yao, Han Wang, Tongxiang Gu:
Pre-training strategy for solving evolution equations based on physics-informed neural networks. - Julia Docampo Sánchez:
Efficient parallel optimization for approximating CAD curves featuring super-convergence. - Martin Korth:
The purpose of qualia: What if human thinking is not (only) information processing? - Björn Kiefer, Stefan Prüger, Oliver Rheinbach, Friederike Röver:
Monolithic parallel overlapping Schwarz methods in fully-coupled nonlinear chemo-mechanics problems. - Owen Huang, Sourav Saha, Jiachen Guo, Wing Kam Liu:
An Introduction to Kernel and Operator Learning Methods for Homogenization by Self-consistent Clustering Analysis. - Michelle Ramirez:
Navigating an Ocean of Video Data: Deep Learning for Humpback Whale Classification in YouTube Videos. - Yifan Chen, Thomas Y. Hou, Yixuan Wang:
Exponentially Convergent Multiscale Finite Element Method. - Shuai Zhu, Thiemo Voigt, JeongGil Ko, Fatemeh Rahimian:
On-device Training: A First Overview on Existing Systems. - Matthew Adiletta, David Brooks, Gu-Yeon Wei:
Architectural Implications of Embedding Dimension during GCN on CPU and GPU. - Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang:
Generalizing Math Word Problem Solvers via Solution Diversification. - Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang:
UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. - Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang:
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association. - Gimin Nam, Mariem Khlifi, Andrew Rodriguez, Alberto Tono, Linqi Zhou, Paul Guerrero:
3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models. - Mingyang Zhou, Grace Luo, Anna Rohrbach, Zhou Yu:
Focus! Relevant and Sufficient Context Selection for News Image Captioning. - Grace Cai, Noble C. Harasha, Nancy A. Lynch:
A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density. - Sidra Hanif, Longin Jan Latecki:
Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset. - Mo Houtti, Moyan Zhou, Loren Terveen, Stevie Chancellor:
"All of the White People Went First": How Video Conferencing Consolidates Control and Exacerbates Workplace Bias. - Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan:
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective. - Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, Kanishka Silva, Hansi Hettiarachchi, Lasitha Uyangodage, Marcos Zampieri:
SOLD: Sinhala Offensive Language Dataset. - Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models. - Cooper Cone, Michael P. Owen, Luis E. Alvarez, Marc Brittain:
Reward Function Optimization of a Deep Reinforcement Learning Collision Avoidance System. - Mingyu Zong, Bhaskar Krishnamachari:
a survey on GPT-3. - Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens:
An introduction to optimization under uncertainty - A short survey. - Eura Shin, Siddharth Swaroop, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez:
Modeling Mobile Health Users as Reinforcement Learning Agents. - Keyan Miao, Konstantinos Gatsis:
Learning Robust State Observers using Neural ODEs (longer version). - Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. - Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Frank K. Zenke, Frank K. Gürkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, S. Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal:
CONVOLVE: Smart and seamless design of smart edge processors. - Jari J. van Steen, Abdullah Cosgun, Nathan van de Wouw, Alessandro Saccon:
Dual Arm Impact-Aware Grasping through Time-Invariant Reference Spreading Control. - Saeed Mohammadzadeh, Peerasait Prachaseree, Emma Lejeune:
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics. - Mathias Schmidt, Lise Noel, Keenan Doble, John A. Evans, Kurt Maute:
Extended isogeometric analysis of multi-material and multi-physics problems using hierarchical B-splines. - Mengfan Xu, Diego Klabjan:
Pareto Regret Analyses in Multi-objective Multi-armed Bandit. - Gavin Kerrigan, Justin Ley, Padhraic Smyth:
Diffusion Generative Models in Infinite Dimensions. - Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu:
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. - Oscar H. Ibarra, Jozef Jirásek, Ian McQuillan, Luca Prigioniero:
Space Complexity of Stack Automata Models. - Morteza Mohammady Gharasuie, Fenjiao Wang:
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain. - Cyrus Neary, Ufuk Topcu:
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks. - Oscar H. Ibarra, Ian McQuillan:
Generalizations of Checking Stack Automata: Characterizations and Hierarchies. - Yuga Oishi, Ken Kaneiwa:
Hierarchical Model Selection for Graph Neural Netoworks. - Xiaoran Wu, Zihan Yan, Xiang Anthony Chen:
DeclutterCam: A Photographic Assistant System with Clutter Detection and Removal. - Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu:
Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning. - Christian Bitter, Timo Thun, Tobias Meisen:
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments. - Shawn Rasheed, Amjed Tahir, Jens Dietrich, Negar Hashemi, Lu Zhang:
Test Flakiness' Causes, Detection, Impact and Responses: A Multivocal Review. - Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Navigating causal deep learning. - Hui Lu, Mia Chiquier, Carl Vondrick:
Private Multiparty Perception for Navigation. - Jae Yong Lee, Yuqun Wu, Chuhang Zou, Shenlong Wang, Derek Hoiem:
QFF: Quantized Fourier Features for Neural Field Representations. - Jean-Raphaël Gaglione, Rajarshi Roy, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Temporal Logic Properties: an Overview of Two Recent Methods. - Yinghong Liao, Wending Zhou, Xu Yan, Shuguang Cui, Yizhou Yu, Zhen Li:
Geometry-Aware Network for Domain Adaptive Semantic Segmentation. - Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. - Théophile Gervet, Soumith Chintala, Dhruv Batra, Jitendra Malik, Devendra Singh Chaplot:
Navigating to Objects in the Real World. - Seyed Mohammad Azimi-Abarghouyi:
A Tractable Probability Distribution with Applications in Three-Dimensional Statistics. - Christopher T. H. Teo, Milad Abdollahzadeh, Ngai-Man Cheung:
Fair Generative Models via Transfer Learning. - Manuel Ballester, Heming Wang, Jiren Li, Oliver Cossairt, Florian Willomitzer:
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors. - Yizhi Song, Zhifei Zhang, Zhe Lin, Scott Cohen, Brian L. Price, Jianming Zhang, Soo Ye Kim, Daniel G. Aliaga:
ObjectStitch: Generative Object Compositing. - Baokai Liu, Fengjie He, Shiqiang Du, Kaiwu Zhang, Jianhua Wang:
Dunhuang murals contour generation network based on convolution and self-attention fusion. - Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu:
Integer Subspace Differential Privacy. - Yanqing Shen, Sanping Zhou, Jingwen Fu, Ruotong Wang, Shitao Chen, Nanning Zheng:
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition. - Liu Ke, Xuan Zhang, Benjamin Lee, G. Edward Suh, Hsien-Hsin S. Lee:
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation. - Hairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu:
A Geometric-Relational Deep Learning Framework for BIM Object Classification. - Diego Arroyuelo, Juan Pablo Castillo:
Trie-Compressed Intersectable Sets. - Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown:
SimpleMind adds thinking to deep neural networks. - Minh N. Vu, My T. Thai:
On the Limit of Explaining Black-box Temporal Graph Neural Networks. - Hong Ming, Jiaoyun Yang, Lili Jiang, Yan Pan, Ning An:
Few-Shot Nested Named Entity Recognition. - Zheng Wu, Wenzhao Lian, Changhao Wang, Mengxi Li, Stefan Schaal, Masayoshi Tomizuka:
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. - Alexandre Signorel:
Exploring The Relationship Between Road Infrastructure and Crimes in Memphis, Tennessee. - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. - Tianju Xue, Shuheng Liao, Zhengtao Gan, Chanwook Park, Xiaoyu Xie, Wing Kam Liu, Jian Cao:
JAX-FEM: A differentiable GPU-accelerated 3D finite element solver for automatic inverse design and mechanistic data science. - Hao Wang, Lixue Liu, Xueguan Song, Chao Zhang, Dacheng Tao:
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data. - Rahul Kale, Zhi Lu, Kar-Wai Fok, Vrizlynn L. L. Thing:
A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection. - Xin Wu, Danfeng Hong, Jocelyn Chanussot:
UIU-Net: U-Net in U-Net for Infrared Small Object Detection. - Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert:
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. - Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. - Zixun Guo, Jaeyong Kang, Dorien Herremans:
A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. - Xidong Wu, Feihu Huang, Zhengmian Hu, Heng Huang:
Faster Adaptive Federated Learning. - Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim:
Relation-aware Language-Graph Transformer for Question Answering. - You Peng, Jeffrey Xu Yu, Sibo Wang:
PSPC: Efficient Parallel Shortest Path Counting on Large-Scale Graphs. - Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman:
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. - Dat Viet Thanh Nguyen, Phong Tran The, Tan M. Dinh, Cuong Pham, Anh Tuan Tran:
QC-StyleGAN - Quality Controllable Image Generation and Manipulation. - Fangxun Shu, Biaolong Chen, Yue Liao, Shuwen Xiao, Wenyu Sun, Xiaobo Li, Yousong Zhu, Jinqiao Wang, Si Liu:
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval. - Yuqun Wu, Jae Yong Lee, Derek Hoiem:
Sparse SPN: Depth Completion from Sparse Keypoints. - Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. - Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang:
Stable Learning via Sparse Variable Independence. - Xiaodong Li, Chenxin Zou, Yi Cai, Yuelong Zhu:
Knowledge Graph Quality Evaluation under Incomplete Information. - Guobin Shi:
Clustering through Feature Space Sequence Discovery and Analysis. - Zhen Liang, Changyuan Zhao, Wanwei Liu, Bai Xue, Wenjing Yang, Zhengbin Pang:
Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory. - Riya Gupta, C. V. Jawahar:
Information Retrieval from the Digitized Books. - M. Erkin Yücel, Cem Ünsalan:
Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search. - Zhiying Xu, Hongding Peng, Wei Wang:
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization. - Jiahe Shi, Yawen Wu, Dewen Zeng, Jingtong Hu, Yiyu Shi:
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning. - Lechao Cheng, Chaowei Fang, Dingwen Zhang, Guanbin Li, Gang Huang:
Compound Batch Normalization for Long-tailed Image Classification. - Wenyao Wang, Chen-Hao Wu, Jie He:
CLeBPI: Contrastive Learning for Bug Priority Inference. - Lei Shang, Mouxiao Huang, Wu Shi, Yuchen Liu, Yang Liu, Fei Wang, Baigui Sun, Xuansong Xie, Yu Qiao:
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling. - Jiaxin Zhang, Sirui Bi, Victor Fung:
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. - Brett A. Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, Eddie Antonio Santos:
Programming Is Hard - Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation. - Nikhil Kumar Singh, Indranil Saha:
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning. - Ilan Doron-Arad, Ariel Kulik, Hadas Shachnai:
Bin Packing with Partition Matroid can be Approximated within $o(OPT)$ Bins. - Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. - Takashi Kanetsuna, Kazuaki Takeuchi, Hiroaki Kato, Taichi Sono, Hirotaka Osawa, Kentaro Yoshifuji, Yoichi Yamazaki:
Interaction in Remote Peddling Using Avatar Robot by People with Disabilities. - Zheng Chen, Bo Li, Minming Li, Guochuan Zhang:
Fair Graphical Resource Allocation with Matching-Induced Utilities. - Shih-Cheng Huang, Shih-Heng Wang, Min-Han Shih, Saurav Sahay, Hung-yi Lee:
General Framework for Self-Supervised Model Priming for Parameter-Efficient Fine-tuning. - Jaidev Shriram, Makarand Tapaswi, Vinoo Alluri:
Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations. - Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. - Ibrahim Shoer, Berkay Köprü, Engin Erzin:
Role of Audio in Audio-Visual Video Summarization. - Pengfei Hu, Hui Zhuang, Panneer Selvam Santhalingam, Riccardo Spolaor, Parth Pathak, Guoming Zhang, Xiuzhen Cheng:
AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained Vocabulary. - Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar:
Improved Representation Learning Through Tensorized Autoencoders. - Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis:
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning. - Min Wu, Haoze Wu, Clark W. Barrett:
VeriX: Towards Verified Explainability of Deep Neural Networks. - Barak Amihood, Asaf Cohen:
Covertly Controlling a Linear System. - Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen:
Model and Data Agreement for Learning with Noisy Labels. - Erik Gärtner, Luke Metz, Mykhaylo Andriluka, C. Daniel Freeman, Cristian Sminchisescu:
Transformer-Based Learned Optimization. - Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. - Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning. - (Withdrawn) Fake detection in imbalance dataset by Semi-supervised learning with GAN.
- Antoine Vanderschueren, Christophe De Vleeschouwer:
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training? - Makoto Araya, Masaaki Harada:
Some restrictions on the weight enumerators of near-extremal ternary self-dual codes and quaternary Hermitian self-dual codes. - Tomás Chobola, Dmitrii Usynin, Georgios Kaissis:
Membership Inference Attacks Against Semantic Segmentation Models. - Lei Liu, Li Liu:
Cross-Modal Mutual Learning for Cued Speech Recognition. - Michael Farber, Amit Kumar Paul:
Sequential parametrized motion planning and its complexity, II. - Simone Conia, Edoardo Barba, Alessandro Scirè, Roberto Navigli:
Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures. - Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. - Waqas Khalid, Zeeshan Kaleem, Rehmat Ullah, Trinh Van Chien, Song Noh, Heejung Yu:
Simultaneous Transmitting and Reflecting-Reconfigurable Intelligent Surface in 6G: Design Guidelines and Future Perspectives. - Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang:
RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing. - Yifan Xie, Julian Berberich, Frank Allgöwer:
Linear Data-Driven Economic MPC with Generalized Terminal Constraint. - Tom Richard Vargis, Siavash Ghiasvand:
Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models. - Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu:
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. - Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang:
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. - Zirui Wang, Shaoming Duan, Chengyue Wu, Wenhao Lin, Xinyu Zha, Peiyi Han, Chuanyi Liu:
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning. - Carolin M. Geitner, Tobias Becher, Inéz Frerichs, Norbert Weiler, Jason H. T. Bates, Wolfgang A. Wall:
An approach to study recruitment/derecruitment dynamics in a patient-specific computational model of an injured human lung. - Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo, Shuming Shi, Ruifang Liu:
Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning. - Hana Dal Poz Kourimská, André Lieutier, Mathijs Wintraecken:
The medial axis of closed bounded sets is Lipschitz stable with respect to the Hausdorff distance under ambient diffeomorphisms. - Chaojian Li, Sixu Li, Yang Zhao, Wenbo Zhu, Yingyan Lin:
RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering. - Taejun Park, Yuji Nakatsukasa:
Randomized low-rank approximation for symmetric indefinite matrices. - Maria Siopi, Giorgos Kordopatis-Zilos, Polychronis Charitidis, Ioannis Kompatsiaris, Symeon Papadopoulos:
A Multi-Stream Fusion Network for Image Splicing Localization. - Long Phi Hoang, Dung Duy Le, Tuan Anh Tran, Thang Tran Ngoc:
Improving Pareto Front Learning via Multi-Sample Hypernetworks. - Dianwen Mei, Wei Zhuo, Jiandong Tian, Guangming Lu, Wenjie Pei:
Activating the Discriminability of Novel Classes for Few-shot Segmentation. - Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Tuan Tu Vignoud, Mirko Marras, Tanja Käser:
Ripple: Concept-Based Interpretation for Raw Time Series Models in Education. - Gabriel Lord, Mengchao Wang:
Convergence of a splitting method for a general interest rate model. - Dorina Weichert, Alexander Kister, Sebastian Houben, Gunar Ernis, Stefan Wrobel:
Robustness in Fatigue Strength Estimation. - Laia Tarrés, Gerard I. Gállego, Xavier Giró-i-Nieto, Jordi Torres:
Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22. - Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. - Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li:
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. - Revanth Gangi Reddy, Heba Elfardy, Hou Pong Chan, Kevin Small, Heng Ji:
SumREN: Summarizing Reported Speech about Events in News. - Davide Cenzato, Veronica Guerrini, Zsuzsanna Lipták, Giovanna Rosone:
Computing the optimal BWT of very large string collections. - Mandani Ntekouli, Gerasimos Spanakis, Lourens J. Waldorp, Anne Roefs:
Clustering individuals based on multivariate EMA time-series data. - Dejan Azinovic, Olivier Maury, Christophe Hery, Matthias Nießner, Justus Thies:
High-Res Facial Appearance Capture from Polarized Smartphone Images. - Lars Möllenbrok, Begüm Demir:
Deep Active Learning for Multi-Label Classification of Remote Sensing Images. - Yeongwoo Song, Hawoong Jeong:
Identifying Hamiltonian manifold in neural networks. - Haoran Wei, Xu Liu, Shouchun Xu, Zhongjian Dai, Yaping Dai, Xiangyang Xu:
DWRSeg: Dilation-wise Residual Network for Real-time Semantic Segmentation. - Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni:
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. - Manuel Kauers, Jakob Moosbauer:
Flip Graphs for Matrix Multiplication. - Muriel Médard, Ken R. Duffy:
Physical layer insecurity. - Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi:
A General Purpose Supervisory Signal for Embodied Agents. - Alexandre Bittar, Philip N. Garner:
Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition. - Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. - Sumyeong Ahn, Se-Young Yun:
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels. - Frédéric Prost:
Inheritance and Blockchain: Thoughts and Open Questions. - Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca:
Vector Symbolic Finite State Machines in Attractor Neural Networks. - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. - Chelsey Edge, Junaed Sattar:
Diver Interest via Pointing: Human-Directed Object Inspection for AUVs. - Norman Müller, Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Matthias Nießner:
DiffRF: Rendering-Guided 3D Radiance Field Diffusion. - Yinan Liu, Wei Shen, Yuanfei Wang, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan:
Joint Open Knowledge Base Canonicalization and Linking. - Maowei Jiang, Pengyu Zeng, Kai Wang, Huan Liu, Wenbo Chen, Haoran Liu:
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting. - Nedim Osmic, Adnan Tahirovic, Bakir Lacevic:
Octocopter Design: Modelling, Control and Motion Planning. - Lucas Meijer, Tillmann Miltzow:
Sometimes Two Irrational Guards are Needed. - Qingze Fang, Zhiwei Zhai, Shuai Yu, Qiong Wu, Xiaowen Gong, Xu Chen:
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network. - Zongzhe Xu:
Using Large Pre-Trained Language Model to Assist FDA in Premarket Medical Device. - Lucas Valentin:
Answer ranking in Community Question Answering: a deep learning approach. - Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang:
Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization. - Alexey Zhukov, Jenny Benois-Pineau, Romain Giot:
Reference-based and No-reference Metrics to Evaluate Explanation Methods of AI - CNNs in Image Classification Tasks. - Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf, Barbara Hammer:
On the Change of Decision Boundaries and Loss in Learning with Concept Drift. - Muhammad Hamza:
Software Requirements Engineering Healthcare Implementation Maturity Model (SRE-HIMM) for Global Health-Care Information System. - Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Eugenio Nerio Nemmi:
NFT Wash Trading in the Ethereum Blockchain. - Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. - Thomas Nowotny, James Paul Turner, James C. Knight:
Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks. - Jim Smith, Richard John Preen, Andrew McCarthy, Alba Crespi-Boixader, James Liley, Simon Rogers:
Safe machine learning model release from Trusted Research Environments: The AI-SDC package. - Rui Abreu:
The Bumpy Road of Taking Automated Debugging to Industry. - Xiaofeng Hou, Cheng Xu, Jiacheng Liu, Xuehan Tang, Linyu Sun, Chao Li, Kwang-Ting Cheng:
Analyzing the Hardware-Software Implications of Multi-modal DNN Workloads using MMBench. - W. B. Hoekwater, J. D. Wiersema, S. Hassan HosseinNia:
Hybrid Tunable Magnet Actuator: Modeling and Design. - Shamel Fahmi, Victor Barasuol, Domingo Esteban, Octavio Villarreal, Claudio Semini:
ViTAL: Vision-Based Terrain-Aware Locomotion for Legged Robots. - Tobias Fischer, Yung-Hsu Yang, Suryansh Kumar, Min Sun, Fisher Yu:
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion. - Jan-Oliver Felix Kapp-Joswig, Bettina G. Keller:
Clustering - Basic concepts and methods. - R. Nemer, Aurélien Larcher, Elie Hachem:
Adaptive Immersed Mesh Method (AIMM) for Fluid Structure Interaction. - Andreas Schaad, Dominik Binder:
Deep-Learning-based Vulnerability Detection in Binary Executables. - Nima Karbasizadeh, S. Hassan HosseinNia:
Shaping Nonlinearity in Reset Controllers for Precision Motion Systems. - Maxim Khomiakov, Julius Holbech Radzikowski, Carl Anton Schmidt, Mathias Bonde Sørensen, Mads Andersen, Michael Riis Andersen, Jes Frellsen:
SolarDK: A high-resolution urban solar panel image classification and localization dataset. - Gencer Sumbul, Begüm Demir:
Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning in Remote Sensing. - Gabriel Loaiza-Ganem, Brendan Leigh Ross, Luhuan Wu, John P. Cunningham, Jesse C. Cresswell, Anthony L. Caterini:
Denoising Deep Generative Models. - S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman:
OOG- Optuna Optimized GAN Sampling Technique for Tabular Imbalanced Malware Data. - Felipe Giori, Flavio V. D. de Figueiredo:
Initial Results for Pairwise Causal Discovery Using Quantitative Information Flow. - Chao-Peng Chen, Jun-Wei Hsieh, Ping-Yang Chen, Yi-Kuan Hsieh, Bor-Shiun Wang:
SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. - Sehan Samarakoon, Yushan Siriwardhana, Pawani Porambage, Madhusanka Liyanage, Sang-Yoon Chang, Jinoh Kim, Jonghyun Kim, Mika Ylianttila:
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network. - Oscar H. Ibarra, Ian McQuillan:
Semilinearity of Families of Languages. - Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings:
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. - Andrew Albright, Joshua Vaughan:
Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning. - Lukas Edman, Antonio Toral, Gertjan van Noord:
Subword-Delimited Downsampling for Better Character-Level Translation. - Arya Bangun, Paul F. Baumeister, Alexander Clausen, Dieter Weber, Rafal E. Dunin-Borkowski:
Wigner Distribution Deconvolution Adaptation for Live Ptychography Reconstruction. - Antonio Candelieri, Andrea Ponti, Francesco Archetti:
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels. - Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. - Jiayu Mao, Aylin Yener:
Iterative Power Control for Wireless Networks with Distributed Reconfigurable Intelligent Surfaces. - Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. - Jie Feng, Jun Zhao:
Resource Allocation for Augmented Reality Empowered Vehicular Edge Metaverse. - Fangyi Yu, Lee Quartey, Frank Schilder:
Legal Prompting: Teaching a Language Model to Think Like a Lawyer. - Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame. - Keshav Santhanam, Jon Saad-Falcon, Martin Franz, Omar Khattab, Avirup Sil, Radu Florian, Md. Arafat Sultan, Salim Roukos, Matei Zaharia, Christopher Potts:
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking. - Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
CT-DQN: Control-Tutored Deep Reinforcement Learning. - Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee:
Guaranteed Conformance of Neurosymbolic Models to Natural Constraints. - Kaustubh Sridhar, Vikramank Y. Singh, Balakrishnan Narayanaswamy, Abishek Sankararaman:
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning. - Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer:
Nonparametric Masked Language Modeling. - Zae Myung Kim, Wanyu Du, Vipul Raheja, Dhruv Kumar, Dongyeop Kang:
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks. - Shrutarv Awasthi, Fernando Moya Rueda, Gernot A. Fink:
Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition. - Karl J. Friston, Maxwell J. D. Ramstead, Alex B. Kiefer, Alexander Tschantz, Christopher L. Buckley, Mahault Albarracin, Riddhi J. Pitliya, Conor Heins, Brennan Klein, Beren Millidge, Dalton A. R. Sakthivadivel, Toby St Clere Smithe, Magnus T. Koudahl, Safae Essafi Tremblay, Capm Petersen, Kaiser Fung, Jason G. Fox, Steven Swanson, Dan Mapes, Gabriel René:
Designing Ecosystems of Intelligence from First Principles. - Shao-Di Wang, Hui-Ming Wang, Chen Feng, Victor C. M. Leung:
Sequential Anomaly Detection Against Demodulation Reference Signal Spoofing in 5G NR. - Shao-Di Wang, Hui-Ming Wang, Peng Liu:
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications. - Hong Jun Jeon, Benjamin Van Roy:
An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws. - Moritz Kappel, Vladislav Golyanik, Susana Castillo, Christian Theobalt, Marcus A. Magnor:
Fast Non-Rigid Radiance Fields from Monocularized Data. - Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control via Uncertainty Cancellation. - Mustafa Doger, Sennur Ulukus:
Bitcoin Security-Latency Under Network Delay. - Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson:
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula. - Yuting Wang, Ricardo Guerrero, Vladimir Pavlovic:
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation. - Paul Boutot, Mirza Rehenuma Tabassum, Abdul Abedin, Sadaf Mustafiz:
Requirements Development for IoT Systems with UCM4IoT. - Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Enis Simsar, Alessio Tonioni, Evin Pinar Örnek, Federico Tombari:
LatentSwap3D: Semantic Edits on 3D Image GANs. - Zimeng Fan, Nianli Peng, Muhang Tian, Brandon Fain:
Welfare and Fairness in Multi-objective Reinforcement Learning. - Yahya Saleh, Armin Iske, Andrey Yachmenev, Jochen Küpper:
Augmenting Basis Sets by Normalizing Flows. - Morgan C. Thomas, Noel M. O'Boyle, Andreas Bender, Chris de Graaf:
Re-evaluating sample efficiency in de novo molecule generation. - Saurabh Deshpande, Raúl I. Sosa, Stéphane P. A. Bordas, Jakub Lengiewicz:
Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics. - Mirko Biasini, Vittorio Carmignani, Nicola Ferro, Panagiotis Filianos, Maria Maistro, Giorgio Maria Di Nunzio:
FullBrain: a Social E-learning Platform. - Julia Pasiecznik, Simone Servadio, Richard Linares:
A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials. - Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas:
Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. - Jonathan P. Chang, Charlotte Schluger, Cristian Danescu-Niculescu-Mizil:
Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions. - Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. - Maitraya K. Bhattacharyya, David Radice:
A Finite Element Method for Angular Discretization of the Radiation Transport Equation on Spherical Geodesic Grids. - Yang Shi, Guannan Liang, Young-joo Chung:
Meta-Shop: Improving Item Advertisement For Small Businesses. - Michael Planer, Jen M. Sierchio:
Measuring Competency of Machine Learning Systems and Enforcing Reliability. - Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer:
Operator inference with roll outs for learning reduced models from scarce and low-quality data. - Orr Zohar, Kuan-Chieh Wang, Serena Yeung:
PROB: Probabilistic Objectness for Open World Object Detection. - Faith M. Johnson, Kristin J. Dana:
Learning a Pedestrian Social Behavior Dictionary. - Cooper Lorsung, Amir Barati Farimani:
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. - Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. - Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski:
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. - Philippe Rauffet:
Tools and methods for Human-Autonomy Teaming: Contributions to cognitive state monitoring and system adaptation. - Muhammad Asif Khan, Hamid Menouar, Osama Muhammad Khalid, Adnan A. Abu-Dayya:
Unauthorized Drone Detection: Experiments and Prototypes. - Peniel N. Argaw, Elizabeth Healey, Isaac S. Kohane:
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals. - Stanislav Morozov, Matvey Smirnov, Nikolai L. Zamarashkin:
On the optimal rank-1 approximation of matrices in the Chebyshev norm. - Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. - Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li:
Multi-Agent Reinforcement Learning with Reward Delays. - Jan Hazla:
Optimal list decoding from noisy entropy inequality. - Ömür Arslan:
Time Governors for Safe Path-Following Control. - Muhammad Asif Khan, Hamid Menouar, Ridha Hamila:
Drones-aided Asset Maintenance in Hospitals. - Maxwell Mbabilla Aladago, A. J. Piergiovanni:
Compound Tokens: Channel Fusion for Vision-Language Representation Learning. - Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. - Muhammad Asif Khan, Hamid Menouar, Ridha Hamila:
Crowd Density Estimation using Imperfect Labels. - Muhammad Asif Khan, Ridha Hamila, Hamid Menouar:
CLIP: Train Faster with Less Data. - Özgür Agrali, Hakan Sökün, Enis Karaarslan:
Twitter Data Analysis: Izmir Earthquake Case. - Andrei Tour, Artem Polyvyanyy, Anna A. Kalenkova, Arik Senderovich:
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data. - Edgar Schönfeld, Julio Borges, Vadim Sushko, Bernt Schiele, Anna Khoreva:
Discovering Class-Specific GAN Controls for Semantic Image Synthesis. - Anthony Gibbons, Ian Donohue, Courtney E. Gorman, Emma King, Andrew Parnell:
NEAL: An open-source tool for audio annotation. - (Withdrawn) Stabbing balls with line segments and polygonal paths.
- Jian Jia, Fei He, Naiyu Gao, Xiaotang Chen, Kaiqi Huang:
Learning Disentangled Label Representations for Multi-label Classification. - Shenghuan Sun, Travis Zack, Madhumita Sushil, Atul J. Butte:
Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors. - Leonardo Christino, Taylor Hill, Fernando V. Paulovich:
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications. - Or Nachmias, Ohad Fried, Ariel Shamir:
Prediction of Scene Plausibility. - Samuel Talkington, Daniel Turizo, Santiago Grijalva, Jorge Fernandez, Daniel K. Molzahn:
Conditions for Estimation of Sensitivities of Voltage Magnitudes to Complex Power Injections. - Mohammad Almasri, Yen-Hsiang Chang, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu:
Parallelizing Maximal Clique Enumeration on GPUs. - Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, Snigdha Chaturvedi:
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. - Wen Siang Tan, Markus Wagner, Christoph Treude:
Detecting Outdated Code Element References in Software Repository Documentation. - Yulin Shao, Qi Cao, Deniz Gündüz:
A Theory of Semantic Communication. - Carina Kauf, Anna A. Ivanova, Giulia Rambelli, Emmanuele Chersoni, Jingyuan Selena She, Zawad Chowdhury, Evelina Fedorenko, Alessandro Lenci:
Event knowledge in large language models: the gap between the impossible and the unlikely. - Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov:
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. - Tahiya Salam, Alice Kate Li, M. Ani Hsieh:
Online Estimation of the Koopman Operator Using Fourier Features. - Tianqi Zheng, Pengcheng You, Enrique Mallada:
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics. - Harry Freeman, Mohamad Qadri, Abhisesh Silwal, Paul O'Connor, Zachary B. Rubinstein, Daniel Cooley, George Kantor:
Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision. - Michael Drolet, Joseph Campbell, Heni Ben Amor:
Learning and Blending Robot Hugging Behaviors in Time and Space. - Yanjiang Guo, Jingyue Gao, Zheng Wu, Chengming Shi, Jianyu Chen:
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward. - Madhusanka Liyanage, An Braeken, Shahriar Shahabuddin, Pasika Ranaweera:
Open RAN Security: Challenges and Opportunities. - (Withdrawn) Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection.
- Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun:
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework. - Yanxiang Gong, Zhiwei Xie, Guozhen Duan, Zheng Ma, Mei Xie:
Distribution Fitting for Combating Mode Collapse in GANs. - Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh:
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. - Hedyeh Beyhaghi, Linda Cai:
Pandora's Problem with Nonobligatory Inspection: Optimal Structure and a PTAS. - (Withdrawn) IDMS: Instance Depth for Multi-scale Monocular 3D Object Detection.
- Xinyu Chen, Zhanhong Cheng, Nicolas Saunier, Lijun Sun:
Laplacian Convolutional Representation for Traffic Time Series Imputation. - Muqing Cao, Kun Cao, Shenghai Yuan, Thien-Minh Nguyen, Lihua Xie:
NEPTUNE: Non-Entangling Planning for Multiple Tethered Unmanned Vehicles. - Hao Ren, Guowen Xu, Tianwei Zhang, Jianting Ning, Xinyi Huang, Hongwei Li, Rongxing Lu:
Efficiency Boosting of Secure Cross-platform Recommender Systems over Sparse Data. - Yaqiao Dai, Renjiao Yi, Chenyang Zhu, Hongjun He, Kai Xu:
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition. - Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. - Aeris El Asslouj, Hossein Rastgoftar:
Quadcopter Tracking Using Euler-Angle-Free Flatness-Based Control. - Bo Qin, Aixin Jia, Qiang Wang, Jianning Lu, Shuqin Pan, Haibo Wang, Ming Chen:
The RoyalFlush System for the WMT 2022 Efficiency Task. - Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. - Ruihao Zheng, Zhenkun Wang:
A Generalized Scalarization Method for Evolutionary Multi-objective Optimization. - Yi Lei, Shan Yang, Xinsheng Wang, Qicong Xie, Jixun Yao, Lei Xie, Dan Su:
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis. - Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. - Liye Jia, Cong Zhou, Ka Lok Man, Sheng-Uei Guan, Jeremy S. Smith, Yutao Yue:
The Cause of Causal Emergence: Redistribution of Uncertainty. - Pankaj Sharma, Imran Qureshi, Minh Tran:
Meta Learning for Few-Shot Medical Text Classification. - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su:
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. - Akshay Mehra, Skyler Seto, Navdeep Jaitly, Barry-John Theobald:
Understanding the Robustness of Multi-Exit Models under Common Corruptions. - Dibakar Das, Jyotsna Bapat, Debabrata Das:
Node and Edge Centrality based Failures in Multi-layer Complex Networks. - Haoxuan Wang, Junchi Yan:
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. - Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu:
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer. - En Yu, Songtao Liu, Zhuoling Li, Jinrong Yang, Zeming Li, Shoudong Han, Wenbing Tao:
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation. - Clarisa V. Albarillo, Emely A. Munar, Maria Concepcion M. Balcita:
Computer and Internet Literacy Course of the College of Computer Science for the Municipality of Agoo, La Union. - Yurid Nugraha, Tomohisa Hayakawa, Hideaki Ishii, Ahmet Cetinkaya, Quanyan Zhu:
Two-Player Incomplete Games of Resilient Multiagent Systems. - Gary Tom, Riley J. Hickman, Aniket Zinzuwadia, Afshan Mohajeri, Benjamín Sánchez-Lengeling, Alán Aspuru-Guzik:
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS. - Chao Pang, Yu Wang, Yi Jiang, Ruheng Wang, Ran Su, Leyi Wei:
Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. - Teppei Otsuka, Aohan Li, Hiroki Takesue, Kensuke Inaba, Kazuyuki Aihara, Mikio Hasegawa:
High-Speed Resource Allocation Algorithm Using a Coherent Ising Machine for NOMA Systems. - Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Risheng Yu, Xiansheng Hua, Lei Zhang:
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution. - Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. - Ziwei Ji, Zihan Liu, Nayeon Lee, Tiezheng Yu, Bryan Wilie, Min Zeng, Pascale Fung:
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. - Idan Kligvasser, Tamar Rott Shaham, Noa Alkobi, Tomer Michaeli:
BlendGAN: Learning and Blending the Internal Distributions of Single Images by Spatial Image-Identity Conditioning. - Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara:
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation. - Xiangxiang Chu, Liang Li, Bo Zhang:
Make RepVGG Greater Again: A Quantization-aware Approach. - Thomas Erlebach, Jakob T. Spooner:
Parameterized temporal exploration problems. - Ha-Thanh Nguyen:
Secrecy-Verifiability Paradox in Smart Contracts. - Bar Meyuhas, Anat Bremler-Barr, David Hay, Shoham Danino:
It Is Not Where You Are, It Is Where You Are Registered: IoT Location Impact. - Loizos Hadjiloizou, Kyriakos M. Deliparaschos, Evagoras Makridis, Themistoklis Charalambous:
Onboard Real-Time Multi-Sensor Pose Estimation for Indoor Quadrotor Navigation with Intermittent Communication. - Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang:
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. - Jiajia Mi, Hao Wu:
An ADMM-Incorporated Latent Factorization of Tensors Method for QoS Prediction. - Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl:
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. - (Withdrawn) Battery Degradation Long-term Forecast Using Gaussian Process Dynamical Models and Knowledge Transfer.
- Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li:
Exploring Stochastic Autoregressive Image Modeling for Visual Representation. - Shuaijie She, Xiang Geng, Shujian Huang, Jiajun Chen:
CoP: Factual Inconsistency Detection by Controlling the Preference. - Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. - Dengke Wang, Alessandro Traspadini, Marco Giordani, Mohamed-Slim Alouini, Michele Zorzi:
On the Performance of Non-Terrestrial Networks to Support the Internet of Things. - Omar Costa Hamido, Paulo Vitor Itaboraí:
OSC-Qasm: Interfacing Music Software with Quantum Computing. - Stephan Simonis, Johannes Nguyen, Samuel J. Avis, Willy Dörfler, Mathias J. Krause:
Binary mixture flow with free energy lattice Boltzmann methods. - Huilin Wang, Xin Kang, Tieyan Li, Zhongding Lei, Cheng-Kang Chu, Haiguang Wang:
An Overview of Trust Standards for Communication Networks and Future Digital World. - Tingting Yuan, Hwei-Ming Chung, Jie Yuan, Xiaoming Fu:
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning. - Jana Cslovjecsek, Michal Pilipczuk, Karol Wegrzycki:
Parameterized Approximation for Maximum Weight Independent Set of Rectangles and Segments. - Yangang Ren, Yao Lyu, Wenxuan Wang, Shengbo Eben Li, Zeyang Li, Jingliang Duan:
Smoothing Policy Iteration for Zero-sum Markov Games. - Feng Li, Yixuan Wu, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao:
Learning Detail-Structure Alternative Optimization for Blind Super-Resolution. - Hiroaki Kikuchi:
Castell: Scalable Joint Probability Estimation of Multi-dimensional Data Randomized with Local Differential Privacy. - Yixuan Wu, Feng Li, Huihui Bai, Weisi Lin, Runmin Cong, Yao Zhao:
Bridging Component Learning with Degradation Modelling for Blind Image Super-Resolution. - Narasimha Raghavan Veeraragavan, Jan Franz Nygård:
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries. - Qingfeng Guan, Wei-Qin Chen, Ying Li:
Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method. - Tamal K. Dey, Abhishek Rathod:
Cup Product Persistence and Its Efficient Computation. - Yinghua Li, Xueqi Dang, Haoye Tian, Tiezhu Sun, Zhijie Wang, Lei Ma, Jacques Klein, Tegawendé F. Bissyandé:
AI-driven Mobile Apps: an Explorative Study. - Jintao Lin, Zhaoyang Liu, Wenhai Wang, Wayne Wu, Limin Wang:
VLG: General Video Recognition with Web Textual Knowledge. - Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. - Christopher J. Tralie, Zachary Schlamowitz, Jose E. Arbelo, Antonio I. Delgado, Charley Kirk, Nicholas A. Scoville:
The DOPE Distance is SIC: A Stable, Informative, and Computable Metric on Time Series And Ordered Merge Trees. - Arij Al Adel:
Global memory transformer for processing long documents. - Slobodan Djukanovic, Nikola Bulatovic, Ivana Cavor:
A dataset for audio-video based vehicle speed estimation. - Y. Conjungo Taumhas, D. Labeurthre, François Madiot, Olga Mula, T. Taddei:
Impact of physical model error on State Estimation for neutronics applications. - Sankarshan Dasgupta, Tom Ongwere:
Modeling Mobile Visualization for Medical Reports of Complex Chronic Diseases. - Anubhav Jangra, Preksha Nema, Aravindan Raghuveer:
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. - Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt:
A Survey on Medical Document Summarization. - Lorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo:
MaRF: Representing Mars as Neural Radiance Fields. - Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien:
CrossSplit: Mitigating Label Noise Memorization through Data Splitting. - Rajae Amimi, Amina Radgui, Hassane Ibn El Haj:
A survey of smart classroom: Concept, technologies and facial emotions recognition application. - Yiang Lu, Wei Chen, Zhi Chen, Jianshu Zhou, Yun-Hui Liu:
FBG-Based Variable-Length Estimation for Shape Sensing of Extensible Soft Robotic Manipulators. - Diego Figueira, Rémi Morvan:
Approximation and Semantic Tree-width of Conjunctive Regular Path Queries. - Jacob Andreas:
Language Models as Agent Models. - Xiaohui Chen, Xi Chen, Liping Liu:
Interpretable Node Representation with Attribute Decoding. - Chang Shi, Yi Zheng, Ann Majewicz Fey:
Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery. - Apoorva Jaiswal, Abhishek Mitra:
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching. - Arezoo Rajabi, Dinuka Sahabandu, Luyao Niu, Bhaskar Ramasubramanian, Radha Poovendran:
LDL: A Defense for Label-Based Membership Inference Attacks. - Jianyi Yang, Shaolei Ren:
Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints. - Shathushan Sivashangaran, Azim Eskandarian:
XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research. - Michal Stefánik, Marek Kadlcík:
What is Not in the Context? Evaluation of Few-shot Learners with Informative Demonstrations. - Mayank Senapati, Manil Dev Gomony, Sherif Eissa, Charlotte Frenkel, Henk Corporaal:
THOR - A Neuromorphic Processor with 7.29G TSOP$^2$/mm$^2$Js Energy-Throughput Efficiency. - René Caspart, Sebastian Ziegler, Arvid Weyrauch, Holger Obermaier, Simon Raffeiner, Leon Pascal Schuhmacher, Jan Scholtyssek, Darya Trofimova, Marco Nolden, Ines Reinartz, Fabian Isensee, Markus Götz, Charlotte Debus:
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads. - Arshiya Aggarwal, Jiao Sun, Nanyun Peng:
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts. - Zeinab S. Jalali, Josh Introne, Sucheta Soundarajan:
Social Stratification in Networks: Insights from Co-Authorship Networks. - Shaheer U. Saeed, João Ramalhinho, Mark A. Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
Active learning using adaptable task-based prioritisation. - Nima Soltani, Hamed Mazhab-Jafari, Karim Abdelhalim, Hossein Kassiri, Xilin Liu, Roman Genov:
A 21.3%-Efficiency Clipped-Sinusoid UWB Impulse Radio Transmitter with Simultaneous Inductive Powering and Data Receiving. - Anisia Katinskaia, Jue Hou, Anh-Duc Vu, Roman Yangarber:
Linguistic Constructs as the Representation of the Domain Model in an Intelligent Language Tutoring System. - Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen:
SoK: Fully Homomorphic Encryption Accelerators. - Aditi Agrawal, Benjamin Reed:
A survey on grading format of automated grading tools for programming assignments. - Momin Ahmad Khan, Virat Shejwalkar, Amir Houmansadr, Fatima M. Anwar:
Security Analysis of SplitFed Learning. - Ly Van Nguyen, A. Lee Swindlehurst, Duy H. N. Nguyen:
Variational Bayes for Joint Channel Estimation and Data Detection in Few-Bit Massive MIMO Systems. - Chunyu Chen, Xuehai Huang, Huayi Wei:
Stabilization-Free Virtual Element Methods. - Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos:
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. - Wenrong Chen, Lingxiang Li, Zhi Chen, Boyu Ning, Guangjian Wang, Tony Q. S. Quek:
An ISAC-based Beam Alignment Approach for Enhancing Terahertz Network Coverage. - Ming Ying, Xiaoming Chen, Xiaodan Shao:
Exploiting Tensor-based Bayesian Learning for Massive Grant-Free Random Access in LEO Satellite Internet of Things. - Zhijie Wu, Yuhe Jin, Kwang Moo Yi:
Neural Fourier Filter Bank. - Min Qiu, Yu-Chih Huang, Jinhong Yuan:
Downlink Transmission with Heterogeneous URLLC Services: Discrete Signaling With Single-User Decoding. - Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang:
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. - Yaxin Luopan, Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang:
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge. - Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-guided Pre-training for Grounded Dialog Generation. - Shu Liu, Enquan Huang, Yan Xu, Kexuan Wang, Xiaoyan Kui, Tao Lei, Hongying Meng:
Lightweight Facial Attractiveness Prediction Using Dual Label Distribution. - Kangyu Weng, Aohua Cheng, Ziyang Zhang, Pei Sun, Yang Tian:
Statistical Physics of Deep Neural Networks: Initialization toward Optimal Channels. - Vibhakar Mohta, Adarsh Patnaik, Shivam Kumar Panda, Siva Vignesh Krishnan, Abhinav Gupta, Abhay Shukla, Gauri Wadhwa, Shrey Verma, Aditya Bandopadhyay:
Design of an All-Purpose Terrace Farming Robot. - Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. - Mark Utting, Brae J. Webb, Ian J. Hayes:
Differential Testing of a Verification Framework for Compiler Optimizations (Experience Paper). - Junchao Lin, Yuan Wan, Jingwen Xu, Xingchen Qi:
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised Classification. - Sicong Guo, Gábor Orosz, Tamás G. Molnár:
Connected Cruise and Traffic Control for Pairs of Connected Automated Vehicles. - Benjamin Muller, Deepanshu Gupta, Siddharth Patwardhan, Jean-Philippe Fauconnier, David Vandyke, Sachin Agarwal:
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer. - Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-modal Models. - Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. - Dafa Ren, Shuang Wu, Xiaofan Wang, Yan Peng, Xiaoqiang Ren:
Learning Bifunctional Push-grasping Synergistic Strategy for Goal-agnostic and Goal-oriented Tasks. - Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen:
Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection. - Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. - Songlin Wei, Guodong Chen, Wenzheng Chi, Zhenhua Wang, Lining Sun:
3D Object Aided Self-Supervised Monocular Depth Estimation. - Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke:
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation. - Haoran Deng, Bo Yang, Chao Ning, Cailian Chen, Xinping Guan:
Distributionally Robust Day-ahead Scheduling for Power-traffic Network under a Potential Game Framework. - Chao Qian:
Can Evolutionary Clustering Have Theoretical Guarantees? - Dominik Wagner, Sebastian P. Bayerl, Héctor A. Cordourier Maruri, Tobias Bocklet:
Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech. - Igor S. Sergeev:
Notes on the complexity of coverings for Kronecker powers of symmetric matrices. - Jieming Ke, Ying Wang, Yanlong Zhao, Ji-Feng Zhang:
Recursive Identification of Set-Valued Systems under Uniform Persistent Excitations. - Hanru Shi, Sisi Liu, Xinhe Yu, Wugedele Bao, Yuan Sun, Xiaobing Zhao:
MiLMo: Minority Multilingual Pre-trained Language Model. - Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar:
Image Deblurring with Domain Generalizable Diffusion Models. - Rong Qin, Luwen Huangfu, Devon Hood, James Ma, Sheng Huang:
Kernel Inversed Pyramidal Resizing Network for Efficient Pavement Distress Recognition. - Md. Parvez Mollah:
An LSTM model for Twitter Sentiment Analysis. - Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
Hyperbolic Curvature Graph Neural Network. - Ning Wang, Jiahao Xie, Jihao Wu, Mingbo Jia, Linlin Li:
Controllable Image Captioning via Prompting. - Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu:
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. - Xingyu Ren, Michael C. Fu, Steven I. Marcus:
Optimal Acceptance of Incompatible Kidneys. - Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. - Kholoud Alghamdi, Miaojing Shi, Elena Simperl:
Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations. - Feifei Wang, Yong Wang, Shaoqing Chen, Bing Li, Qidong Huang:
Towards Precise Flood Prediction via Hierachical Terrain Attention and Multi-Scale Rainfall Guidance. - Diptarka Chakraborty, Debarati Das, Robert Krauthgamer:
Clustering Permutations: New Techniques with Streaming Applications. - Thuan B. Bui, Dinh Tuan Tran, Joo-Ho Lee:
Fast and Lightweight Scene Regressor for Camera Relocalization. - Tiago Novello:
Understanding Sinusoidal Neural Networks. - James Brusseau:
Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI's Diffusion versus OpenAI's Dall-E. - Martin Tappler, Stefan Pranger, Bettina Könighofer, Edi Muskardin, Roderick Bloem, Kim G. Larsen:
Automata Learning meets Shielding. - Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv:
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation. - Junlong Liu, Xichen Shang, Qianli Ma:
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction. - Marco A. Gómez, Christopher D. Cruz-Ancona, Leonid M. Fridman:
On the Notion of Safe Sliding Mode Control. - Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. - M. El Ajjaj, Marcin B. Kaczmarek, M. A. C. C. van den Hurk, S. Hassan HosseinNia:
Vibration suppression of a state-of-the-art wafer gripper. - Mahender Kumar, Satish Chand:
Pairing-Friendly Elliptic Curves: Revisited Taxonomy, Attacks and Security Concern. - Minquan Chen, Deqiang Gan:
A New Decomposition Strategy for Analyzing Large-Scale Systems Such as Power Systems. - Bettina Könighofer, Julian Rudolf, Alexander Palmisano, Martin Tappler, Roderick Bloem:
Online Shielding for Reinforcement Learning. - Michiel E. Hochstenbach, Tomaz Kosir, Bor Plestenjak:
On the solution of rectangular multiparameter eigenvalue problems. - Shiguang Deng:
Deep Learning for Multiscale Damage Analysis via Physics-Informed Recurrent Neural Network. - Indira Febriyanti, Raula Gaikovina Kula, Ruksit Rojpaisarnkit, Kanchanok Kannee, Yusuf Sulistyo Nugroho, Kenichi Matsumoto:
Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results. - Chris Donahue, John Thickstun, Percy Liang:
Melody transcription via generative pre-training. - Duy M. H. Nguyen, Hoang Nguyen, Mai Thanh Nhat Truong, Tri Cao, Binh T. Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag:
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering. - Deepika Saxena, Ashutosh Kumar Singh:
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center. - Gustavo P. Torquette, Victor S. Nunes, Pedro Yuri Arbs Paiva, Lourenço B. C. Neto, Ana Carolina Lorena:
Characterizing instance hardness in classification and regression problems. - Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Graph Representation Learning for Wireless Communications. - Maliheh Shirvanian, Sebastian Meiser:
"Tell me, how do you know it's me?" Expectations of security and personalization measures for smart speaker applications. - Fernando Alonso-Fernandez, Julian Fiérrez-Aguilar, Hartwig Fronthaler, Klaus Kollreider, Javier Ortega-Garcia, Joaquin Gonzalez-Rodriguez, Josef Bigün:
Combining multiple matchers for fingerprint verification: A case study in biosecure network of excellence. - Ayrton San Joaquin, Ardy Haroen:
Understanding How Model Size Affects Few-shot Instruction Prompting. - Johanna Castellanos, Carlos Adrian Correa-Florez, Alejandro Garcés, Gabriel Ordóñez-Plata, César A. Uribe, Diego Patiño:
An energy management system model with power quality constraints for unbalanced multi-microgrids interacting in a local energy market. - Haleh Akrami, Hannes Gamper:
Speech MOS multi-task learning and rater bias correction. - Negar Nejatishahidin, Pooya Fayyazsanavi:
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding. - Yang Peng, Daisy Zhe Wang:
Query-Driven Knowledge Base Completion using Multimodal Path Fusion over Multimodal Knowledge Graph. - Maksym Del, Mark Fishel:
Cross-lingual Similarity of Multilingual Representations Revisited. - Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata:
Counterfactual Learning with General Data-generating Policies. - Adrien Banse, Licio Romao, Alessandro Abate, Raphaël M. Jungers:
Data-driven memory-dependent abstractions of dynamical systems. - Deval Shah, Zi Yu Xue, Tor M. Aamodt:
Label Encoding for Regression Networks. - Indrakshi Dey, Nicola Marchetti:
Space-Time- and Frequency- Spreading for Interference Minimization in Dense IoT. - Kirpa Garg, Sartaj Ul Hasan, Pantelimon Stanica:
Several classes of permutation polynomials and their differential uniformity properties. - Ayrton San Joaquin, Filip Skubacz:
Applying Multilingual Models to Question Answering (QA). - Vincent Despré, Benedikt Kolbe, Hugo Parlier, Monique Teillaud:
Computing a Dirichlet domain for a hyperbolic surface. - Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raúl Vázquez, Sami Virpioja:
Democratizing Machine Translation with OPUS-MT. - An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki:
Hierarchical Policy Blending As Optimal Transport. - Vanshaj Khattar, Ming Jin:
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance. - Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Jingcheng Du, J. Wilfred Fan, Muhammad F. Amith, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao:
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO). - Yunhao Yang, Jean-Raphaël Gaglione, Ufuk Topcu:
Learning Automata-Based Task Knowledge Representation from Large-Scale Generative Language Models. - Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. - Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz:
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness. - Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara:
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. - Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. - Dibyendu Adak, Felipe Lepe, Gonzalo Rivera:
VEM approximation for the Stokes eigenvalue problem: a priori and a posteriori error analysis. - Ki Wai Fong, Shingyu Leung:
Spherical Essentially Non-Oscillatory (SENO) Interpolation. - David Waterworth, Subbu Sethuvenkatraman, Quan Z. Sheng:
Building Metadata Inference Using a Transducer Based Language Model. - Zhaozhen Xu, Nello Cristianini:
QBERT: Generalist Model for Processing Questions. - Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun:
Dissimilar Nodes Improve Graph Active Learning. - Hyejun Jeong, Ha Min Son, Seo Hu Lee, Jayun Hyun, Tai-Myoung Chung:
FedCC: Robust Federated Learning against Model Poisoning Attacks. - Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu:
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. - Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, Yuxin Wang, Yongdong Zhang:
Exploring Stroke-Level Modifications for Scene Text Editing. - Nikhil Sreekumar, A. Chandra, Jon B. Weissman:
Evaluation of Locality, Latency and Geospace Aware Data Placement Strategies at the Edge. - Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. - Chuchu Chen, Tonghe Dang, Jialin Hong:
An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics. - Rui Zhao, Jian Xue, Partha Parthasarathy, Veljko Miljanic, Jinyu Li:
Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models. - Yan Li, Jin Liu, Yingchun Guo, Jing Liu, Youxi Wu:
AOP-Miner: Approximate Order-Preserving Pattern Mining for Time Series. - Yangbin Chen, Chunfeng Liang:
Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation. - Bao Gia Doan, Ehsan Abbasnejad, Javen Qinfeng Shi, Damith C. Ranasinghe:
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense. - Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen:
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation. - Jianghong Dong, Qing Xu, Jiawei Wang, Chunying Yang, Mengchi Cai, Chaoyi Chen, Jianqiang Wang, Keqiang Li:
Mixed Cloud Control Testbed: Validating Vehicle-Road-Cloud Integration via Mixed Digital Twin. - Sheryl Paul, Jyotirmoy V. Deshmukh:
Multi Agent Path Finding using Evolutionary Game Theory. - Jie Hong, Shi Qiu, Weihao Li, Saeed Anwar, Mehrtash Harandi, Nick Barnes, Lars Petersson:
PointCaM: Cut-and-Mix for Open-Set Point Cloud Analysis. - Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu:
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding. - Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan:
Learning Imbalanced Data with Vision Transformers. - Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang:
GNN-SL: Sequence Labeling Based on Nearest Examples via GNN. - Hui Su, Yue Ye, Wei Hua, Lechao Cheng, Mingli Song:
SASFormer: Transformers for Sparsely Annotated Semantic Segmentation. - Jeiyoon Park, Yoonna Jang, Chanhee Lee, Heuiseok Lim:
Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue. - Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira:
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models. - Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. - Hui Zhang, Zuxuan Wu, Zheng Wang, Zhineng Chen, Yu-Gang Jiang:
Prototypical Residual Networks for Anomaly Detection and Localization. - Xingqin Lin, Lopamudra Kundu, Chris Dick, Emeka Obiodu, Todd Mostak:
6G Digital Twin Networks: From Theory to Practice. - Yuki Osumi, Naotaka Umekawa, Hitomi Komata, Shinpei Hayashi:
Empirical Study of Co-Renamed Identifiers. - Ce Zheng, Yiming Wang, Baobao Chang:
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. - Soumya Ranjan Behera, Ananta K. Majee:
Convergence of a Operator Splitting Scheme for Fractional Conservation laws with Levy Noise. - Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang, Ximeng Liu, Wenzhong Guo:
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning. - Yuichi Ikeda, Yu Ohki, Zelda Marquardt, Yu Kimura, Sena Omura, Emi Yoshikawa:
First Demonstration Experiment for Energy Trading System EDISON-X Using the XRP Ledger. - Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Yang Sui, Bo Yuan:
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition. - Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Seong-Whan Lee:
Effect of Spoken Speech in Decoding Imagined Speech from Non-Invasive Human Brain Signals. - Yuichi Ikeda, Abhijit Chakraborty:
Hodge Decomposition of the Remittance Network on the XRP ledger in the Price Hike of January 2018. - Abdullah Basar Akbay, Cihan Tepedelenlioglu:
Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents. - Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek:
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight. - Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes. - Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang:
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. - Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun:
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition. - Koshi Oishi, Yota Hashizume, Tomohiko Jimbo, Hirotaka Kaji, Kenji Kashima:
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost. - Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. - Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. - Jia Wei, Chun Ouyang, Arthur H. M. ter Hofstede, Catarina Moreira:
AMORETTO: A Method for Deriving IoT-enriched Event Logs. - Leilei Cui, Zhong-Ping Jiang:
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control. - Zhuofan Zhang, Zhen Liu, Bing Zeng, Shuaicheng Liu:
Minimum Latency Deep Online Video Stabilization. - Fengxiao Tang, Yilin Yang, Xin Yao, Ming Zhao, Nei Kato:
Differentiated Federated Reinforcement Learning for Dynamic and Heterogeneous Network. - Changsheng Quan, Xiaofei Li:
NBC2: Multichannel Speech Separation with Revised Narrow-band Conformer. - Xuebo Tian, Zhongyang Zhu, Junqiao Zhao, Gengxuan Tian, Chen Ye:
DL-SLOT: Dynamic LiDAR SLAM and object tracking based on collaborative graph optimization. - Alon Zolfi, Guy Amit, Amit Baras, Satoru Koda, Ikuya Morikawa, Yuval Elovici, Asaf Shabtai:
YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection. - Jianfeng Dong, Shengkai Sun, Zhonglin Liu, Shujie Chen, Baolong Liu, Xun Wang:
Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning. - Zeke Xie, Qian-Yuan Tang, Zheng He, Mingming Sun, Ping Li:
Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. - Chunyan Zeng, Dongliang Zhu, Zhifeng Wang, Minghu Wu, Wei Xiong, Nan Zhao:
End-to-end Recording Device Identification Based on Deep Representation Learning. - Florian Sauerbeck, Benjamin Obermeier, Martin Rudolph, Johannes Betz:
RGB-L: Enhancing Indirect Visual SLAM using LiDAR-based Dense Depth Maps. - Jun Hyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin:
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling. - Hang Zhao, Zherong Pan, Yang Yu, Kai Xu:
Learning Physically Realizable Skills for Online Packing of General 3D Shapes. - Yilong Chen, Zhixiong Nan:
Inspired by Norbert Wiener: FeedBack Loop Network Learning Incremental Knowledge for Driver Attention Prediction and Beyond. - Taewoon Kim, Michael Cochez, Vincent François-Lavet, Mark A. Neerincx, Piek Vossen:
A Machine with Short-Term, Episodic, and Semantic Memory Systems. - Shuo Yin, Guohao Dai, Wei W. Xing:
High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. - Ana Kotarcic, Dominik Hangartner, Fabrizio Gilardi, Selina Kurer, Karsten Donnay:
Human-in-the-Loop Hate Speech Classification in a Multilingual Context. - Antoine P. Leeman, Johannes Köhler, Samir Bennani, Melanie N. Zeilinger:
Predictive safety filter using system level synthesis. - Meng Lan, Jing Zhang, Lefei Zhang, Dacheng Tao:
Learning to Learn Better for Video Object Segmentation. - Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Minzhe Li, Zhongliang Jing:
CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics. - Malte Mosbach, Kara Moraw, Sven Behnke:
Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations. - Ziga Babnik, Peter Peer, Vitomir Struc:
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration. - Metehan Yalçin, Ahmet Alp Kindiroglu, Furkan Burak Bagci, Ufuk Uyan, Mahiye Uluyagmur Öztürk:
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions. - Martin Kiss, Michal Hradis, Karel Benes, Petr Buchal, Michal Kula:
SoftCTC $\unicode{x2013}$ Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels. - Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Chen Qian:
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning. - Morten Ryberg Wahlgreen, John Bagterp Jørgensen, Mario Zanon:
Model Predictive Control Tuning by Monte Carlo Simulation and Controller Matching. - Miguel Rios, Raluca-Maria Chereji, Alina Secara, Dragos Ciobanu:
Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain. - Philipp Mohr, Gerhard Bauch:
Low-Resolution Horizontal and Vertical Layered Mutual Information Maximizing LDPC Decoding. - Marija Ilic, Matthew Gough:
Interactive Planning and Operations using Peak Load Pricing in Distribution Systems. - Francesco Malandrino, Carla-Fabiana Chiasserini:
Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning. - Yourui Huangfu, Jian Wang, Shengchen Dai, Rong Li, Jun Wang, Chongwen Huang, Zhaoyang Zhang:
WAIR-D: Wireless AI Research Dataset. - Zhangjian Ji, Zilong Wang, Ming Zhang, Yapeng Chen, Yuhua Qian:
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints. - Mika Hämäläinen, Khalid Alnajjar, Thierry Poibeau:
Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog. - Maximilian W. Koppatz, Khalid Alnajjar, Mika Hämäläinen, Thierry Poibeau:
Automatic Generation of Factual News Headlines in Finnish. - Dibyendu Adak, David Mora, Alberth Silgado:
The Morley-type virtual element method for the Navier-Stokes equations in stream-function form on general meshes. - Tian Lan, Yixuan Su, Shu-Hang Liu, Heyan Huang, Xian-Ling Mao:
Momentum Decoding: Open-ended Text Generation As Graph Exploration. - Adithya Ramesh, Balaraman Ravindran:
Physics-Informed Model-Based Reinforcement Learning. - Bo Jiang, Shaoyu Chen, Xinggang Wang, Bencheng Liao, Tianheng Cheng, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang:
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction. - Ugur Halden, Umit Cali, Ferhat Özgür Çatak, Salvatore D'Arco, Francisco Bilendo:
Anomaly Detection in Power Markets and Systems. - Alara Dirik, Pinar Yanardag:
3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes. - Konstantinos Lampropoulos, Nikos Kyriakoulis, Spyros G. Denazis:
Identity Management through a global Discovery System based on Decentralized Identities. - Pu Yang, Bin Dong:
L2SR: Learning to Sample and Reconstruct for Accelerated MRI. - Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich:
Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data. - Arsi Ikäheimonen, Ana M. Triana, Nguyen Luong, A. Ziaei, Jarno Rantaharju, Richard Darst, Talayeh Aledavood:
Niimpy: a toolbox for behavioral data analysis. - Aleksandr N. Grekov, Yurii E. Shishkin, Sergei S. Peliushenko, Aleksandr S. Mavrin:
Construction of Object Boundaries for the Autopilotof a Surface Robot from Satellite Imagesusing Computer Vision Methods. - Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu:
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. - Morten Wahlgreen Kaysfeld, Mario Zanon, John Bagterp Jørgensen:
Performance Quantification of a Nonlinear Model Predictive Controller by Parallel Monte Carlo Simulations of a Closed-loop System. - Xudong Kang, Haoran Xie, Man-Leung Wong, Jing Qin:
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information. - Dietrich Trautmann, Alina Petrova, Frank Schilder:
Legal Prompt Engineering for Multilingual Legal Judgement Prediction. - Lijie Ji, Zhenli Xu, Shenggao Zhou:
Asymptotic Derivation of Equivalent Circuit Model for the Stack-Electrode Supercapacitors. - Feng Nie, Meixi Chen, Zhirui Zhang, Xu Cheng:
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration. - Lei Yu, Xiang Zhang, Wei Liao, Wen Yang, Gui-Song Xia:
Learning to See Through with Events. - Zhen Ni, Guitao Cao, Ye Duan:
Semi-Supervised Representative Region Texture Extraction of Façade. - Mengjuan Liu, Zhengning Hu, Zhi Lai, Daiwei Zheng, Xuyun Nie:
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis. - Arun Kumar Singh, Jatan Shrestha, Nicola Albarella:
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic. - Philippe Lacomme, Christian Prins, Alain Tanguy:
First Competitive Ant Colony Scheme for the CARP. - Dibyo Fabian Dofadar, Riyo Hayat Khan, Shafqat Hasan, Towshik Anam Taj, Arif Shakil, Mahbub Majumdar:
A Hybrid Evolutionary Approach to Solve University Course Allocation Problem. - Junjie Lu, Bi Zeng, Jingtao Tang, Tin Lun Lam:
TMSTC*: A Turn-minimizing Algorithm For Multi-robot Coverage Path Planning. - Arnav Gupta, Timothy J. Healey:
Nucleation and development of multiple cracks in thin composite fibers. - Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda:
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks. - X. Li, L. Wang, D. Zhao:
Review of medical data analysis based on spiking neural networks. - Reyhaneh Rahimi, Sajad Vahedizadeh, Ardeshir M. Ebtehaj:
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data. - Zheng-Yang Zhang, Zhi-Hui Liu, Rui Zhang, Rong-hua He, Zhe Wang:
Research on Early Warning and NB-IoT Real-time Monitoring System for Radiation Source Shedding of Gamma Flaw Detection Machine. - Qi Wang, Juncheng Wang, Junyu Gao, Yuan Yuan, Xuelong Li:
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects. - J. C. García-Merino, Carmen Calvo-Jurado, Emilio Martínez-Pañeda, Enrique García-Macías:
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems. - Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani:
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study. - Kacper Kenji Lesniak, Maria Maistro:
Crowdsourcing Controller - Utilizing Reliable Agents in a Multiplayer Game. - George C. Alexandropoulos, Konstantinos D. Katsanos, Miaowen Wen, Daniel B. da Costa:
Counteracting Eavesdropper Attacks Through Reconfigurable Intelligent Surfaces: A New Threat Model and Secrecy Rate Optimization. - Kasper Green Larsen:
Bagging is an Optimal PAC Learner. - Burak Ekim, Timo T. Stomberg, Ribana Roscher, Michael Schmitt:
MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild. - Friedrich Niemann, Christopher Reining, Hülya Bas, Sven Franke:
Applications of human activity recognition in industrial processes - Synergy of human and technology. - Yixin Yang, Zhongzheng Peng, Xiaoyu Du, Zhulin Tao, Jinhui Tang, Jinshan Pan:
BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization. - Lorena Calvo-Bartolomé, Jerónimo Arenas-García:
Federated Neural Topic Models. - Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. - Bai Zhu, Chao Yang, Jinkun Dai, Jianwei Fan, Yuanxin Ye:
R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor. - Yue Shi, Dingyi Rong, Bingbing Ni, Chang Chen, Wenjun Zhang:
GARF: Geometry-Aware Generalized Neural Radiance Field. - Qi Wang, Sheng Shi, Jiahui Li, Wuming Jiang, Xiangde Zhang:
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities. - Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. - Yeonguk Yu, Sungho Shin, Seongju Lee, Changhyun Jun, Kyoobin Lee:
Block Selection Method for Using Feature Norm in Out-of-distribution Detection. - Suleyman Melih Portakal, Ahmet Alp Kindiroglu, Mahiye Uluyagmur Öztürk:
Real Time Incremental Image Mosaicking Without Use of Any Camera Parameter. - Christopher P. Ley, Jorge F. Silva:
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection. - Francesco Malandrino, Giuseppe Di Giacomo, Armin Karamzade, Marco Levorato, Carla-Fabiana Chiasserini:
Matching DNN Compression and Cooperative Training with Resources and Data Availability. - Olivier Goux, Selime Gürol, Anthony T. Weaver, Oliver Guillet, Youssef Diouane:
Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation. - Shoaib Mahmud, Christopher M. Day:
Evaluation of Arterial Signal Coordination with Commercial Connected Vehicle Data: Empirical Traffic Flow Visualizations and Performance Measures Considering Multiple Origin-Destination Paths. - Frantisek Blahoudek, Yu-Fang Chen, David Chocholatý, Vojtech Havlena, Lukás Holík, Ondrej Lengál, Juraj Síc:
Word Equations in Synergy with Regular Constraints (Technical Report). - Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula, Pratyush Chakraborty, Mayukha Pal:
Evaluation of Energy Resilience and Cost Benefit in Microgrid with Peer-to-Peer Energy Trading. - Anna Gummeson, Magnus Oskarsson:
Robust and Accurate Cylinder Triangulation. - Alexander A. Razborov:
Improved Convergence Guarantees for Shallow Neural Networks. - Travis Gagie, Artur Jez, Gonzalo Navarro:
Space-efficient conversions from SLPs. - Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu:
DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking. - Xi Zhao, Wei Feng, Zheng Zhang, Jingjing Lv, Xin Zhu, Zhangang Lin, Jinghe Hu, Jingping Shao:
CBNet: A Plug-and-Play Network for Segmentation-based Scene Text Detection. - Ivan Zelinka, Miloslav Szczypka, Jan Plucar:
Have You Ever Seen Malware? - Krzysztof R. Apt, Jan Heering:
Characterization of incentive compatible single-parameter mechanisms revisited. - Kabita Patel, Ajaya Kumar Tripathy, Laxmi Narayan Padhy, Sujita Kumar Kar, Susanta Kumar Padhy, Saraju Prasad Mohanty:
Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder. - Xian Liu, Qianyi Wu, Hang Zhou, Yuanqi Du, Wayne Wu, Dahua Lin, Ziwei Liu:
Audio-Driven Co-Speech Gesture Video Generation. - Berta Chulvi, Alejandro H. Toselli, Paolo Rosso:
Fake News and Hate Speech: Language in Common. - Sébastien Boyaval:
A viscoelastic flow model of Maxwell-type with a symmetric-hyperbolic formulation. - Amanda Buddemeyer, Xiaoyi Tian, Erin Walker:
Dominance as an Indicator of Rapport and Learning in Human-Agent Communication. - Vinamra Agrawal, Brandon Runnels:
Robust, strong form mechanics on an adaptive structured grid: efficiently solving variable-geometry near-singular problems with diffuse interfaces. - Shuaifei Chen, Jiayi Zhang, Emil Björnson, Bo Ai:
Improving Fairness for Cell-Free Massive MIMO Through Interference-Aware Massive Access. - Zheyu Zhang:
Indoor room Occupancy Counting based on LSTM and Environmental Sensor. - Naifeng Liu:
Two 6-approximation Algorithms for the Stochastic Score Classification Problem. - Thomas Ehrhard, Guillaume Geoffroy:
Integration in Cones. - Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans:
Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks. - Hankyu Jang, Daeyoung Kim:
D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes. - Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck:
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. - Keke Chen:
Confidential High-Performance Computing in the Public Cloud. - Khadidja Ould Amer, Oussama Hadjerci, Mohamed Abbas Hedjazi, Antoine Letienne:
Single image calibration using knowledge distillation approaches. - Olga Martynova:
Complexity of the emptiness problem for graph-walking automata and for tilings with star subgraphs. - Souâad Boudebza:
An Approach for Detecting Dynamic Communities in Social Networks. - Ayush Singh, John E. Ortega:
Addressing Distribution Shift at Test Time in Pre-trained Language Models. - Lesi Chen, Haishan Ye, Luo Luo:
A Simple and Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization. - Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard V. Solé:
Cooperative control of environmental extremes by artificial intelligent agents. - Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary:
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. - Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Ruiqi Wu, Shizhou Zhang, Peng Wang, Yanning Zhang:
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion. - Mathilde Caron, Neil Houlsby, Cordelia Schmid:
Location-Aware Self-Supervised Transformers. - Junde Li, Collin Beaudoin, Swaroop Ghosh:
Energy-based Generative Models for Target-specific Drug Discovery. - Oleg Zaikin:
Inverting Cryptographic Hash Functions via Cube-and-Conquer. - Marcus Engsig, Qingjie Yang:
Generalization of Higher Order Methods for Fast Iterative Matrix Inversion Suitable for GPU Acceleration. - Dongping Li, Xiuying Zhang:
A low-rank algorithm for solving Lyapunov operator $\varphi$-functions within the matrix-valued exponential integrators. - Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. - Yang Wu, Jing Yang, Xiaojun Zhou, Liming Wang, Zhen Xu:
Exploring Graph-aware Multi-View Fusion for Rumor Detection on Social Media. - Pedro Barroso, Mário Pereira, António Ravara:
Leroy and Blazy were right: their memory model soundness proof is automatable (Extended Version). - Wasilij Barsukow, Jonas P. Berberich:
A well-balanced Active Flux method for the shallow water equations with wetting and drying. - Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad:
In-context Examples Selection for Machine Translation. - Jason Lequyer, Wen-Hsin Hsu, Reuben Philip, Anna Christina Erpf, Laurence Pelletier:
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings. - Jugal Garg, Aniket Murhekar, John Qin:
Improving Fairness and Efficiency Guarantees for Allocating Indivisible Chores. - José David Vega Sánchez, Francisco Javier López-Martínez, José F. Paris, Juan M. Romero-Jerez:
The Multi-cluster Fluctuating Two-Ray Fading Model. - Divya Bhargavi, Karan Sindwani, Sia Gholami:
Framework for 2D Ad placements in LinearTV. - Stefan More, Sebastian Ramacher, Lukas Alber, Marco Herzl:
Extending Expressive Access Policies with Privacy Features. - Yury Belousov, Sergey Polezhaev, Brian Pulfer:
Solving the Weather4cast Challenge via Visual Transformers for 3D Images. - Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil:
Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems. - James P. Crutchfield, Alexandra M. Jurgens:
Whale Casting: Remote mobile streaming humpback whale vocalizations to the world. - Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. - Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. - Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi:
Certifying Fairness of Probabilistic Circuits. - Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi:
Meta-Learning Fast Weight Language Models. - Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov:
TIDE: Time Derivative Diffusion for Deep Learning on Graphs. - Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, K. Madhava Krishna, Srinath Sridhar:
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields. - Pablo Nogueira, Álvaro García-Pérez:
Equivalence of eval-readback and eval-apply big-step evaluators by regimentation of the lambda-calculus's strategy space. - Hong-Yan Zhang, Yu Zhou, Zhi-Qiang Feng:
Balanced Binary Tree Schemes for Computing Zernike Radial Polynomials. - Albert J. Zhai, Shenlong Wang:
PEANUT: Predicting and Navigating to Unseen Targets. - Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang:
Images Speak in Images: A Generalist Painter for In-Context Visual Learning. - Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz:
PhysDiff: Physics-Guided Human Motion Diffusion Model. - Anh-Quan Cao, Raoul de Charette:
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields. - Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory A. Henson:
Relation-based Motion Prediction using Traffic Scene Graphs. - Anuja Vats, Ahmed Kedir Mohammed, Marius Pedersen, Nirmalie Wiratunga:
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy. - Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos:
FEMa-FS: Finite Element Machines for Feature Selection. - Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Zhijie Hu, Haoyu He, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Jie Fu:
MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. - Zhongju Yuan, Zhenkun Wang, Genghui Li:
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation. - Sayak Saha Roy, Unique Karanjit, Shirin Nilizadeh:
A Large-Scale Analysis of Phishing Websites Hosted on Free Web Hosting Domains. - David Pomerenke:
INCLUSIFY: A benchmark and a model for gender-inclusive German. - Weiyu Zong, Mingqian Feng, Griffin Heyrich, Peter Chin:
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations. - Anubhav Jain, Nasir D. Memon, Julian Togelius:
A Dataless FaceSwap Detection Approach Using Synthetic Images. - Zhipeng Du, Jiankang Deng, Miaojing Shi:
Domain-general Crowd Counting in Unseen Scenarios. - Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos:
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. - Shayan Jawed, Lars Schmidt-Thieme:
Auxiliary Quantile Forecasting with Linear Networks. - Marissa Connor, Vincent Emanuele:
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning. - Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. - Zineddine Tighidet, Nicolas Ballier:
Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative Clauses. - Jose A. Solorio, Jose M. Garcia, Sudip Vhaduri:
Automatic Anomalies Detection in Hydraulic Devices. - Jacob Sacks, Byron Boots:
Learning to Optimize in Model Predictive Control. - Andreas Binder, Volker Mehrmann, Agnieszka Miedlar, P. Schulze:
A \texttt{Matlab} Toolbox for the Regularization of Descriptor Systems Arising from Generalized Realization Procedures. - Jaymon Furniss:
Proving False in Object-Oriented Verification Programs by Exploiting Non-Termination. - Nicolas Jonason, Bob L. T. Sturm:
Audio Latent Space Cartography. - Seyyed Mohammad Sadegh Moosavi Khorzooghi, Shirin Nilizadeh:
StyleGAN as a Utility-Preserving Face De-identification Method. - Khaled Badran, Pierre-Olivier Côté, Amanda Kolopanis, Rached Bouchoucha, Antonio Collante, Diego Elias Costa, Emad Shihab, Foutse Khomh:
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? - Matthew Weidner, Heather Miller, Huairui Qi, Maxime Kjaer, Ria Pradeep, Benito Geordie, Christopher Meiklejohn:
Collabs: Composable Collaborative Data Structures. - Soysal Degirmenci, Chris Jones:
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation. - Peter Kowalczyk, Giacomo Welsch, Frédéric Thiesse:
Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics. - Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. - Linard Arquint, Malte Schwerhoff, Vaibhav Mehta, Peter Müller:
A Generic Methodology for the Modular Verification of Security Protocol Implementations. - Sai Vallurupalli, Sayontan Ghosh, Katrin Erk, Niranjan Balasubramanian, Francis Ferraro:
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events. - Taejin Jang, Maitri Uppaluri, Venkat R. Subramanian:
A Sparse DAE Solver in Maple. - CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. - Quentin F. Stout:
Low Power Mesh Algorithms for Image Problems. - Luis Antonio Souto Arias, Cornelis W. Oosterlee, Pasquale Cirillo:
AIDA: Analytic Isolation and Distance-based Anomaly Detection Algorithm. - Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. - Abhishek Tyagi, Yiming Gan, Shaoshan Liu, Bo Yu, Paul N. Whatmough, Yuhao Zhu:
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators. - Adrianna Janik, Luca Costabello:
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples. - Qiang Li, Chongyu Zhang:
Continual learning on deployment pipelines for Machine Learning Systems. - Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic:
Learning Trust Over Directed Graphs in Multiagent Systems (extended version). - Ethan M. Rudd, David Krisiloff, Scott E. Coull, Daniel Olszewski, Edward Raff, James Holt:
Efficient Malware Analysis Using Metric Embeddings. - Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully:
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. - Jose Muguira-Iturralde, Aidan Curtis, Yilun Du, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Visibility-Aware Navigation Among Movable Obstacles. - Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. - Zequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji:
Self-supervised Graph Representation Learning for Black Market Account Detection. - Alina Chertock, Alexander Kurganov, Michael Redle, Kailiang Wu:
A New Locally Divergence-Free Path-Conservative Central-Upwind Scheme for Ideal and Shallow Water Magnetohydrodynamics. - Anjan Karmakar, Julian Aron Prenner, Marco D'Ambros, Romain Robbes:
Codex Hacks HackerRank: Memorization Issues and a Framework for Code Synthesis Evaluation. - Kavya Sreedhar, Jason Clemons, Rangharajan Venkatesan, Stephen W. Keckler, Mark Horowitz:
Enabling and Accelerating Dynamic Vision Transformer Inference for Real-Time Applications. - Qiang Zhang, Lingfang Yang, Xiaoliang Zhang, Xiaolin Song, Zhi Huang:
Visual Area of Interests based Multimodal Trajectory Prediction for Probabilistic Risk Assessment. - Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang:
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training. - Kazuki Shibata, Tomohiko Jimbo, Tadashi Odashima, Keisuke Takeshita, Takamitsu Matsubara:
Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport. - Shahbaz Rezaei, Xin Liu:
On the Discredibility of Membership Inference Attacks. - Pedro Henrique Ribeiro, Patryk Orzechowski, Joost B. Wagenaar, Jason H. Moore:
Benchmarking AutoML algorithms on a collection of synthetic classification problems. - Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Qiang Zhang, Zhouli Xu, Yihang Wang, Lingfang Yang, Xiaolin Song, Zhi Huang:
Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays. - Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu:
Beyond Object Recognition: A New Benchmark towards Object Concept Learning. - Arvind Krishna Sridhar, Erik Visser:
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization. - Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. - Yuwei Huang, Lipeng Zhu, Rui Zhang:
Integrating Intelligent Reflecting Surface into Base Station: Architecture, Channel Model, and Passive Reflection Design. - Yudong Hu, Congying Han, Tiande Guo, Hao Xiao:
Learning with Opponent Modeling in Repeated Auctions. - Hongchang Gao:
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems. - Mengying Yu, Aixin Sun:
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need. - Dongjin Lee, Boris Kramer:
Multifidelity conditional value-at-risk estimation by dimensionally decomposed generalized polynomial chaos-Kriging. - Mohammad Javad Salariseddigh, Muris Spahovic, Christian Deppe:
Deterministic $K$-identification For Slow Fading Channel. - Lin Shi, Bei Peng:
Curriculum Learning for Relative Overgeneralization. - Weigang Lv, Jiale Bai, Qingli Yan, Hui-Ming Wang:
RIS-Assisted Green Secure Communications: Active RIS or Passive RIS? - Xin Li, Cuiling Lan, Guoqiang Wei, Zhibo Chen:
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation. - Siyuan Tang, Eihal Alowaisheq, Xianghang Mi, Yi Chen, XiaoFeng Wang, Yanzhi Dou:
Stealthy Peers: Understanding Security Risks of WebRTC-Based Peer-Assisted Video Streaming. - Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan:
A Learning Based Hypothesis Test for Harmful Covariate Shift. - Bo Feng, Gang Wu:
First-order perturbation theory of trust-region subproblems. - Derek Chen, Zhou Yu:
Sources of Noise in Dialogue and How to Deal with Them. - Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. - Honggyu Choi, Zhixiang Chen, Xuepeng Shi, Tae-Kyun Kim:
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty. - Nariman Habili, Ernest Kwan, Weihao Li, Christfried Webers, Jeremy Oorloff, Mohammad Ali Armin, Lars Petersson:
A Hyperspectral and RGB Dataset for Building Facade Segmentation. - Chenghui Zhou, Barnabás Póczos:
Improving Molecule Properties Through 2-Stage VAE. - Zhaohong Sun, Yoshihiro Takenami, Daisuke Moriwaki, Yoji Tomita, Makoto Yokoo:
Daycare Matching in Japan: Transfers and Siblings. - Gongpu Chen, Soung Chang Liew:
An Index Policy for Minimizing the Uncertainty-of-Information of Markov Sources. - Yue Yang, Letian Chen, Matthew C. Gombolay:
Safe Inverse Reinforcement Learning via Control Barrier Function. - Kaiwen Zhang, Guanjun Liu:
Automatically Transform Rust Source to Petri Nets for Checking Deadlocks. - Paridhi Singh, Gaurav Singh, Arun Kumar:
Objects as Spatio-Temporal 2.5D points. - Zhipeng Zhao, Huai Yu, Chenwei Lyv, Wen Yang, Sebastian A. Scherer:
Attention-Enhanced Cross-modal Localization Between 360 Images and Point Clouds. - Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. - Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner:
Learning Neural Parametric Head Models. - Zonghai Yao, Jack Tsai, Weisong Liu, David A. Levy, Emily Druhl, Joel I. Reisman, Hong Yu:
Automated Identification of Eviction Status from Electronic Health Record Notes. - Hai Jiang, Haipeng Li, Yuhang Lu, Songchen Han, Shuaicheng Liu:
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint. - Jianchuan Chen, Wentao Yi, Tiantian Wang, Xing Li, Liqian Ma, Yangyu Fan, Huchuan Lu:
Pixel2ISDF: Implicit Signed Distance Fields based Human Body Model from Multi-view and Multi-pose Images. - Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia:
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields. - Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. - Patrick Wang, Henry Ye, Wayne Hayes:
Detection of large exact subgraph isomorphisms with a topology-only graphlet index built using deterministic walks. - Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang:
DiffusionInst: Diffusion Model for Instance Segmentation. - Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro:
Adaptive Testing of Computer Vision Models. - Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An:
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. - Shinta Otake, Rei Kawakami, Nakamasa Inoue:
Parameter Efficient Transfer Learning for Various Speech Processing Tasks. - Yedi Zhang, Fu Song, Jun Sun:
QEBVerif: Quantization Error Bound Verification of Neural Networks. - Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Union-set Multi-source Model Adaptation for Semantic Segmentation. - Zanwei Zhou, Ruizhe Zhong, Chen Yang, Yan Wang, Xiaokang Yang, Wei Shen:
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting. - Xu Liu, Jianing Li, Xiaopeng Fan, Yonghong Tian:
Event-based Monocular Dense Depth Estimation with Recurrent Transformers. - Lalita Mishra, Shekhar Verma, Shirshu Varma:
Hybrid Model using Feature Extraction and Non-linear SVM for Brain Tumor Classification. - Ritwik Gupta, Alexander M. Bayen, Sarah Rohrschneider, Adrienne Fulk, Andrew W. Reddie, Sanjit A. Seshia, Shankar Sastry, Janet Napolitano:
Emerging Technology and Policy Co-Design Considerations for the Safe and Transparent Use of Small Unmanned Aerial Systems. - Jeongjun Choi, Dongseok Shim, H. Jin Kim:
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model. - Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu:
FlowFace: Semantic Flow-guided Shape-aware Face Swapping. - Yang Zhao, Junnan Zhu, Lu Xiang, Jiajun Zhang, Yu Zhou, Feifei Zhai, Chengqing Zong:
Life-long Learning for Multilingual Neural Machine Translation with Knowledge Distillation. - Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang:
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. - Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang:
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. - Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang:
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection. - Baokai Liu, Fengjie He, Shiqiang Du, Jiacheng Li, Wenjie Liu:
An advanced YOLOv3 method for small object detection. - Jiajun Zhong, Weiwei Ye, Ning Gui:
Data Imputation with Iterative Graph Reconstruction. - Jiakang Zheng, Jiayi Zhang, Julian Cheng, Victor C. M. Leung, Derrick Wing Kwan Ng, Bo Ai:
Asynchronous Cell-Free Massive MIMO With Rate-Splitting. - Kassem Kallas, Teddy Furon:
Mixer: DNN Watermarking using Image Mixup. - Swati Bhardwaj, Mokshi Goyal, Madhu Raka:
New Quantum codes from constacyclic codes over a general non-chain ring. - Qingliang Liu, Jiangqun Ni, Weizhe Zhang, Xiangyang Luo, Jiwu Huang:
A Robust Image Steganographic Scheme against General Scaling Attacks. - Siddharth Srivastava:
Hierarchical Termination Analysis for Generalized Planning. - Kunihiro Miyazaki, Taichi Murayama, Akira Matsui, Masaru Nishikawa, Takayuki Uchiba, Haewoon Kwak, Jisun An:
Political Honeymoon Effect on Social Media: Characterizing Social Media Reaction to the Changes of Prime Minister in Japan. - Jianxin Ma, Shuai Bai, Chang Zhou:
Pretrained Diffusion Models for Unified Human Motion Synthesis. - Vajira Thambawita, Steven Alexander Hicks, Andrea M. Storås, Thu Nguyen, Jorunn M. Andersen, Oliwia Witczak, Trine B. Haugen, Hugo Lewi Hammer, Pål Halvorsen, Michael A. Riegler:
VISEM-Tracking: Human Spermatozoa Tracking Dataset. - Yan Wang, Junbo Yin, Wei Li, Pascal Frossard, Ruigang Yang, Jianbing Shen:
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. - Tejaswini Ananthanarayana, Lipisha Chaudhary, Ifeoma Nwogu:
SignNet: Single Channel Sign Generation using Metric Embedded Learning. - Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian:
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning. - Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. - Hanqi Zhang, Chang Xu, Rongxing Lu, Liehuang Zhu, Chuan Zhang, Yunguo Guan:
Non-interactive Multi-client Searchable Symmetric Encryption with Small Client Storage. - Zixue Xiang, Wei Peng, Wen Yao:
RBF-MGN: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network. - Karl Holmquist, Lena Klasén, Michael Felsberg:
Evidential Deep Learning for Class-Incremental Semantic Segmentation. - Ayush Tripathi, Lalan Kumar, Prathosh AP, Suriya Prakash Muthukrishnan:
TripCEAiR: A Multi-Loss minimization approach for surface EMG based Airwriting Recognition. - Siyuan Zhou, Chunru Zhan, Biao Wang, Tiezheng Ge, Yuning Jiang, Li Niu:
Video Object of Interest Segmentation. - Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian:
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. - Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes:
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. - Avisek Sharma, Satakshi Ghosh, Pritam Goswami, Buddhadeb Sau:
Space optimal and asymptotically move optimal Arbitrary Pattern Formation on rectangular grid by asynchronous robot swarm. - Jieao Zhu, Zhongzhichao Wan, Linglong Dai, Mérouane Debbah, H. Vincent Poor:
Electromagnetic Information Theory: Fundamentals, Modeling, Applications, and Open Problems. - Xiaoyu Wu, Lin Chen:
Improved Approximation Schemes for (Un-)Bounded Subset-Sum and Partition. - Qiuchi Li, Christina Lioma:
Template-based Recruitment Email Generation For Job Recommendation. - Haoyang He, Xin Jin, Angela Chen:
GAS-NeXt: Few-Shot Cross-Lingual Font Generator. - Guillaume Escamocher, Barry O'Sullivan:
Generation and Prediction of Difficult Model Counting Instances. - Alexander Capstick, Francesca Palermo, Payam M. Barnaghi:
Loss Adapted Plasticity in Deep Neural Networks to Learn from Data with Unreliable Sources. - Pengfei Hu, Zhenrong Zhang, Jianshu Zhang, Jun Du, Jiajia Wu:
Multimodal Tree Decoder for Table of Contents Extraction in Document Images. - Khalid Alnajjar, Mika Hämäläinen:
Emotion Conditioned Creative Dialog Generation. - Zhaoning Li, Qiaoli Jiang, Zhengming Wu, Anqi Liu, Haiyan Wu, Miner Huang, Kai Huang, Yixuan Ku:
Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling. - Umut Demir, A. Sadik Satir, Gulay Goktas Sever, Cansu Yikilmaz, Nazim Kemal Ure:
Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems. - Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers:
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors. - Mika Hämäläinen, Khalid Alnajjar, Thierry Poibeau:
Modern French Poetry Generation with RoBERTa and GPT-2. - Yi Li, Mingmou Liu:
Higher Lower Bounds for Sparse Oblivious Subspace Embeddings. - Ingeborg G. Gjerde:
Graphnics: Combining FEniCS and NetworkX to simulate flow in complex networks. - Farooq Dar, Hilary Emenike, Zhigang Yin, Mohan Liyanage, Rajesh Sharma, Agustin Zuniga, Mohammad Ashraful Hoque, Marko Radeta, Petteri Nurmi, Huber Flores:
Thermal Dissipation Resulting from Everyday Interactions as a Sensing Modality - The MIDAS Touch. - Damith Chamalke Senadeera, Julia Ive:
Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI. - Jiwon Kim, Kai Zheng, Jonathan Corcoran, Sanghyung Ahn, Marty Papamanolis:
Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks. - Myung Cho:
Deep Neural Networks Based on Iterative Thresholding and Projection Algorithms for Sparse LQR Control Design. - Usma Niyaz, Deepti R. Bathula:
Leveraging Different Learning Styles for Improved Knowledge Distillation. - Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas:
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. - Mathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer:
Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library. - Richard John Preen, Jim Smith:
ACRO: A multi-language toolkit for supporting Automated Checking of Research Outputs. - Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andrés Felipe Cruz-Salinas:
M-VADER: A Model for Diffusion with Multimodal Context. - Holger Boche, Adalbert Fono, Gitta Kutyniok:
Non-Computability of the Pseudoinverse on Digital Computers. - Shamil Mamedov, Rudolf Reiter, Moritz Diehl, Jan Swevers:
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots. - Felix Soldner, Bennett Kleinberg, Shane D. Johnson:
Counterfeits on Darknet Markets: A measurement between Jan-2014 and Sep-2015. - Ziqi Wang, Tianye Shu, Jialin Liu:
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning. - Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi:
Simple Baseline for Weather Forecasting Using Spatiotemporal Context Aggregation Network. - Marius Paul Bruchhäuser, Markus Bause:
A Cost-Efficient Space-Time Adaptive Algorithm for Coupled Flow and Transport. - S. Bora Bayraktar, Andreas Orthey, Zachary K. Kingston, Marc Toussaint, Lydia E. Kavraki:
Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces. - Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin, Jiaya Jia:
SDM: Spatial Diffusion Model for Large Hole Image Inpainting. - Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi:
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift. - Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Open World DETR: Transformer based Open World Object Detection. - Azarakhsh Keipour, Mohammadreza Mousaei, Dongwei Bai, Junyi Geng, Sebastian A. Scherer:
UAS Simulator for Modeling, Analysis and Control in Free Flight and Physical Interaction. - Markus Bayer, Philipp Kuehn, Ramin Shanehsaz, Christian Reuter:
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain. - Esteban Hernandez Capel, Jonathan Dumas:
Denoising diffusion probabilistic models for probabilistic energy forecasting. - Mia Chiquier, Carl Vondrick:
Muscles in Action. - Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. - Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer:
PRISM: Probabilistic Real-Time Inference in Spatial World Models. - Bisheng Wang, Horst Possegger, Horst Bischof, Guo Cao:
Sparse Message Passing Network with Feature Integration for Online Multiple Object Tracking. - Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin:
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment. - Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng, Jia Guo, Michail Christos Doukas, Stefanos Zafeiriou:
Weakly-Supervised Gaze Estimation from Synthetic Views. - Yang Li, Haiyu Dong, Zuliang Fang, Jonathan A. Weyn, Pete Luferenko:
Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers. - Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu:
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. - Ali Reza Omrani, Davide Moroni:
Supervised Image Segmentation for High Dynamic Range Imaging. - Ilias Diakonikolas, Christos Tzamos, Daniel M. Kane:
A Strongly Polynomial Algorithm for Approximate Forster Transforms and its Application to Halfspace Learning. - Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang:
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds. - Konstantinos Ntagiantas, Eduardo Pignatelli, Nicholas S. Peters, Chris D. Cantwell, Rasheda A. Chowdhury, Anil A. Bharath:
Estimating Cardiac Tissue Conductivity from Electrograms with Fully Convolutional Networks. - Gonçalo Raposo, Afonso Raposo, Ana Sofia Carmo:
Document-Level Abstractive Summarization. - Ashish Chiplunkar, Monika Henzinger, Sagar Sudhir Kale, Maximilian Vötsch:
Online Min-Max Paging. - Nir Weingarten:
Style transfer and classification in hebrew news items. - Alexander Gillert, Giulia Resente, Alba Anadon-Rosell, Martin Wilmking, Uwe Freiherr von Lukas:
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections. - Mingxiao Huo, Zhihao Zhang, Xianqiang Yang:
AbHE: All Attention-based Homography Estimation. - Jean Cardinal, Micha Sharir:
Improved Algebraic Degeneracy Testing. - Federico Nicolás Peccia, Oliver Bringmann:
Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework. - Lihua Fu, Haoyue Tian, Xiangping Bryce Zhai, Pan Gao, Xiaojiang Peng:
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation. - Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé:
Unifying Short and Long-Term Tracking with Graph Hierarchies. - Zhiyuan Peng, Mingjie Shao, Xuanji He, Xu Li, Tan Lee, Ke Ding, Guanglu Wan:
Covariance Regularization for Probabilistic Linear Discriminant Analysis. - Giorgio Angelotti, Natalia Díaz Rodríguez:
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. - Severin Husmann, Hugo Yèche, Gunnar Rätsch, Rita Kuznetsova:
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data. - Heng Wu, Xiongfei Wang:
Control of Grid-Forming VSCs: A Perspective of Adaptive Fast/Slow Internal Voltage Source. - Gabryel Mason-Williams, Dave Bond, Mark Basham:
DisTRaC: Accelerating High Performance Compute Processing for Temporary Data Storage. - Sasari Samarasinghe, Sachithra Lokuge:
Exploring the Critical Success Factors for Data Democratization. - Sasari Samarasinghe, Sachithra Lokuge:
Data-driven Innovation: Understanding the Direction for Future Research. - Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen:
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. - Raffaele Giancarlo, Gennaro Grimaudo:
Pareto Optimal Compression of Genomic Dictionaries, with or without Random Access in Main Memory. - Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora:
Active Classification of Moving Targets with Learned Control Policies. - Ngoc N. Tran, Anh Tuan Bui, Dinh Q. Phung, Trung Le:
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance. - Mahikala Niranga, Darshana Sedera, Golam Sorwar:
Does IT Matter (Now)? A Global Panel Data Analysis of 7 Regions from 2018-2020 on Digitalization and its Impact on Economic Growth. - Guoliang Qiu, Jiaheng Wang:
Inapproximability of counting independent sets in linear hypergraphs. - Ayodhya Wathuge, Darshana Sedera, Golam Sorwar:
Personal Green IT Use: Findings from a Literature Review. - Philipp Görz, Björn Mathis, Keno Hassler, Emre Güler, Thorsten Holz, Andreas Zeller, Rahul Gopinath:
How to Compare Fuzzers. - Bing Yi, Gil Ho Yoon, Ran Zheng, Long Liu, Daping Li, Xiang Peng:
An unified material interpolation for topology optimization of multi-materials. - Yauhen Yakimenka, Chung-Wei Weng, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Straggler-Resilient Differentially-Private Decentralized Learning. - Md Aminul Islam, Md. Abu Sufian, Shabbir Ahmed Shuvo:
Data analytics on key indicators for the city's urban services and dashboards for leadership and decision-making. - Marcel Hussing, Karen Li, Eric Eaton:
Land Use Prediction using Electro-Optical to SAR Few-Shot Transfer Learning. - Michael Benedikt, Cécilia Pradic, Christoph Wernhard:
Synthesizing nested relational queries from implicit specifications: via model theory and via proof theory. - Vishrant Tripathi, Nicholas Jones, Eytan H. Modiano:
Fresh-CSMA: A Distributed Protocol for Minimizing Age of Information. - Yu Li, Muxi Chen, Yannan Liu, Daojing He, Qiang Xu:
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. - Zhiyuan Peng, Xuanji He, Ke Ding, Tan Lee, Guanglu Wan:
Label-free Knowledge Distillation with Contrastive Loss for Light-weight Speaker Recognition. - Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. - Li Zhi, Haizhao Liang, Jinze Wu, Jianying Wang, Yu Zheng:
Cooperative Guidance Strategy for Active Defense Spacecraft with Imperfect Information via Deep Reinforcement Learning. - Haniyeh Ehsani Oskouie, Farzan Farnia:
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations. - Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig, Veit Hagenmeyer:
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow. - Jianjie Luo, Yehao Li, Yingwei Pan, Ting Yao, Jianlin Feng, Hongyang Chao, Tao Mei:
Semantic-Conditional Diffusion Networks for Image Captioning. - Rim El Cheikh, Hélène Tran, Issam Falih, Engelbert Mephu Nguifo:
A comparative study of emotion recognition methods using facial expressions. - Baokui Mou:
A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing. - Joel Meyer, Ahalya Prabhakar, Allison Pinosky, Ian Abraham, Annalisa T. Taylor, Millicent Schlafly, Katarina Popovic, Giovani Diniz, Brendan Teich, Borislava I. Simidchieva, Shane Clark, Todd D. Murphey:
Scale-Invariant Specifications for Human-Swarm Systems. - Luciano Baresi, Giovanni Quattrocchi, Damian Andrew Tamburri:
Microservice Architecture Practices and Experience: a Focused Look on Docker Configuration Files. - Jonas Schuett:
Risk management in the Artificial Intelligence Act. - Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui:
Fast Online Hashing with Multi-Label Projection. - Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu:
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. - (Withdrawn) Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations.
- Aurèle Barrière, Sandrine Blazy, David Pichardie:
Formally Verified Native Code Generation in an Effectful JIT - or: Turning the CompCert Backend into a Formally Verified JIT Compiler. - Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass:
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. - Hugo Henri Joseph Sénétaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei:
Explainability as statistical inference. - Marcella Bonazzoli, Xavier Claeys, Frédéric Nataf, Pierre-Henri Tournier:
How does the partition of unity influence SORAS preconditioner? - Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao, Rui Yan:
Neural Machine Translation with Contrastive Translation Memories. - Pablo Antolin, Ondine Chanon:
Analysis-aware defeaturing of complex geometries. - Shibo Jie, Zhi-Hong Deng:
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer. - Kobe Wullaert, Ralph Matthes, Benedikt Ahrens:
Univalent Monoidal Categories. - (Withdrawn) Regret Minimization with Dynamic Benchmarks in Repeated Games.
- J. Amacker, T. Kleiven, M. Grigore, P. Albrecht, C. Horn:
A Learned Simulation Environment to Model Plant Growth in Indoor Farming. - Saif Ahmad, Ryan P. C. de Souza, Pauline Kergus, Zohra Kader, Stéphane Caux:
Robust Switching Control of DC-DC Boost Converter for EV Charging Stations. - Joachim Tilsted Kristensen, Robin Kaarsgaard, Michael Kirkedal Thomsen:
Branching execution symmetry in Jeopardy by available implicit arguments analysis. - Rawan Al Kubaisy, Sashank Krishnamurthy, Ali M. Niknejad:
Design of Linear Passive Mixer-First Receivers for mmWave Digital Beamforming Arrays. - Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez, Alberto Huertas Celdrán:
When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns. - Daniel Migault:
Estimating Meetings' Air Flight $CO_2$ Equivalent Emissions An Illustrative Example with IETF meetings. - Jerry Zhi-Yang He, Aditi Raghunathan, Daniel S. Brown, Zackory Erickson, Anca D. Dragan:
Learning Representations that Enable Generalization in Assistive Tasks. - Junho Kim, Young Min Kim, Yicheng Wu, Ramzi Zahreddine, Weston A. Welge, Gurunandan Krishnan, Sizhuo Ma, Jian Wang:
Privacy-Preserving Visual Localization with Event Cameras. - Alireza Abdi, Masih Hajsaeedi, Mohsen Hooshmand:
Longest Common Substring in Longest Common Subsequence's Solution Service: A Novel Hyper-Heuristic. - Martine J. Barons, Aditi Shenvi:
Where the Bee Sucks - A Dynamic Bayesian Network Approach to Decision Support for Pollinator Abundance Strategies. - Naman Saxena, Sandeep Gorantla, Pushpak Jagtap:
Reinforcement Learning for Signal Temporal Logic using Funnel-Based Approach. - Fan Li, Bo Wang, Pin Wang, Yongming Li:
Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling. - Wenbo Cao, Yilang Liu, Xianglin Shan, Chuanqiang Gao, Weiwei Zhang:
A novel convergence enhancement method based on Online Dimension Reduction Optimization. - Dimiter Dobrev:
The AI Definition and a Program Which Satisfies this Definition. - Yuchao Gu, Xintao Wang, Yixiao Ge, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis. - Thu Nguyen, Jichen Zhu:
Towards Better User Requirements: How to Involve Human Participants in XAI Research. - Johannes Meyer:
Towards Energy Efficient Mobile Eye Tracking for AR Glasses through Optical Sensor Technology. - Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang, Limin Wang, Yu Qiao:
InternVideo: General Video Foundation Models via Generative and Discriminative Learning. - Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan:
DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation. - Paolo De Petris, Stephen J. Carlson, Christos Papachristos, Kostas Alexis:
Collision-tolerant Aerial Robots: A Survey. - Joar Skalse, Alessandro Abate:
Misspecification in Inverse Reinforcement Learning. - Antonis Troumpoukis, Stasinos Konstantopoulos, Nefeli Prokopaki-Kostopoulou:
A geospatial source selector for federated GeoSPARQL querying. - William J. Buchanan, Mwrwan Abubakar, Owen Lo, Christos Chrysoulas, Nikolaos Pitropakis, Pavlos Papadopoulos, Sarwar Sayeed, Marc Sel:
The Future of Integrated Digital Governance in the EU: EBSI and GLASS. - Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao:
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. - Shady Abu-Hussein, Tom Tirer, Raja Giryes:
ADIR: Adaptive Diffusion for Image Reconstruction. - William Bruno, Dan Roth:
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval. - Kai-Chieh Hsu, Duy Phuong Nguyen, Jaime Fernández Fisac:
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety. - A. J. Piergiovanni, Weicheng Kuo, Anelia Angelova:
Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning. - Ukyo Honda, Taro Watanabe, Yuji Matsumoto:
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning. - Soroosh Mariooryad, Matt Shannon, Siyuan Ma, Tom Bagby, David Kao, Daisy Stanton, Eric Battenberg, R. J. Skerry-Ryan:
Learning the joint distribution of two sequences using little or no paired data. - Nadav Torem, Roi Ronen, Yoav Y. Schechner, Michael Elad:
Towards A Most Probable Recovery in Optical Imaging. - Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. - Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz:
RANA: Relightable Articulated Neural Avatars. - Gabriel B. Margolis, Pulkit Agrawal:
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior. - Linyi Jin, Jianming Zhang, Yannick Hold-Geoffroy, Oliver Wang, Kevin Matzen, Matthew Sticha, David F. Fouhey:
Perspective Fields for Single Image Camera Calibration. - Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette:
PØDA: Prompt-driven Zero-shot Domain Adaptation. - Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao:
Robust Point Cloud Segmentation with Noisy Annotations. - Arghadeep Pal, Alekhya Ghosh, Shuangyou Zhang, Toby Bi, Pascal DelHaye:
Machine Learning Assisted Inverse Design of Microresonators. - Ron Fulbright, Grover Walters:
Synthetic Expertise. - Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu:
MobileTL: On-device Transfer Learning with Inverted Residual Blocks. - Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou:
Neural Cell Video Synthesis via Optical-Flow Diffusion. - Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat:
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation. - Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov:
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. - Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter:
Giga-SSL: Self-Supervised Learning for Gigapixel Images. - Yao Su, Xin Dai, Lifang He, Xiangnan Kong:
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. - Jiaxuan Li, Lang Yu, Allyson Ettinger:
Counterfactual reasoning: Do language models need world knowledge for causal understanding? - Tom Young:
From Knowledge Augmentation to Multi-tasking: Towards Human-like Dialogue Systems. - Kuan-Lin Chen, Wei-Yu Chen, Ren-Hung Hwang:
Optimizing Resource Allocation with High-Reliability Constraint for Multicasting Automotive Messages in 5G NR C-V2X Networks. - Sophia Huiwen Sun, Rose Yu:
Copula Conformal Prediction for Multi-step Time Series Forecasting. - Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. - Saliya Nugawela, Darshana Sedera:
Status Quo Bias in Users Information Systems (IS) Adoption and Continuance Intentions: A Literature Review and Framework. - Marc Bezem, Thierry Coquand, Peter Dybjer, Martín Escardó:
Type Theories with Universe Level Judgements. - Guy Amir, Ziv Freund, Guy Katz, Elad Mandelbaum, Idan Refaeli:
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System. - Qazwan Abdullah, Nor Shahida Mohd Shah, Shipun A. Hamzah, Adeb Salh, Mahathir Mohamad, Shahilah Nordin, Maisarah Abu, Mohammed Abdo Albaom, Safwan Sadeq:
Estimation Large- Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System. - (Withdrawn) Caching Contents with Varying Popularity using Restless Bandits.
- Onel L. Alcaraz López, Nurul Huda Mahmood, Mohammad Shehab, Hirley Alves, Osmel Martínez Rosabal, Leatile Marata, Matti Latva-aho:
Statistical Tools and Methodologies for URLLC - A Tutorial. - Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu:
Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. - Dimos Gkitsakis, Spyridon Kaloudis, Eirini Mouselli, Verónika Peralta, Patrick Marcel, Panos Vassiliadis:
Cube Interestingness: Novelty, Relevance, Peculiarity and Surprise. - Wanrong He, Andrew Mao, Jordan L. Boyd-Graber:
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering. - Justin Xie:
Fine-Grained Emotional Paraphrasing along Emotion Gradients. - Vishrant Tripathi, Igor Kadota, Ezra Tal, Muhammad Shahir Rahman, Alexander Warren, Sertac Karaman, Eytan H. Modiano:
WiSwarm: Age-of-Information-based Wireless Networking for Collaborative Teams of UAVs. - Ishika Sahni, Araftoz Kaur:
A Systematic Literature Review on 5G Security. - Pietro Astolfi, Ruben S. Verhagen, Laurent Petit, Emanuele Olivetti, Silvio Sarubbo, Jonathan Masci, Davide Boscaini, Paolo Avesani:
Supervised Tractogram Filtering using Geometric Deep Learning. - David Cuellar, Zechariah Johnson:
Barriers to implementation of blockchain technology in agricultural supply chain. - Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong:
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. - Yashar Salami, Vahid Khajehvand, Esmaeil Zeinali:
E3C: A Tool for Evaluating Communication and Computation Costs in Authentication and Key Exchange Protocol. - Ahmed S. Alahmed, Lang Tong:
Co-optimizing Behind-The-Meter Resources under Net Metering. - Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko:
Understanding Self-Predictive Learning for Reinforcement Learning. - Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. - Maurizio Mongelli, Stefano Scanzio:
A neural approach to synchronization in wireless networks with heterogeneous sources of noise. - Xin-Yao Huang, Sung-Yu Chen, Chun-Shu Wei:
Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. - Shawn Hymel, Colby R. Banbury, Daniel Situnayake, Alexander Elium, Carl Ward, Matthew Kelcey, Mathijs Baaijens, Mateusz Majchrzycki, Jenny Plunkett, David Tischler, Alessandro Grande, Louis Moreau, Dmitry Maslov, Arthur Beavis, Jan Jongboom, Vijay Janapa Reddi:
Edge Impulse: An MLOps Platform for Tiny Machine Learning. - Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. - Jin-Yi Cai, Ben Young:
Planar #CSP Equality Corresponds to Quantum Isomorphism - A Holant Viewpoint. - Mir Rayat Imtiaz Hossain, Leonid Sigal, James J. Little:
Semantically Enhanced Global Reasoning for Semantic Segmentation. - Mohak Goyal, Geoffrey Ramseyer, Ashish Goel, David Mazières:
Finding the Right Curve: Optimal Design of Constant Function Market Makers. - A. P. Harris, T. A. Biala, Abdul-Qayyum M. Khaliq:
Fourier Spectral Methods with Exponential Time Differencing for Space-Fractional Partial Differential Equations in Population Dynamics. - Shrutarv Awasthi, Nils Gramse, Christopher Reining, Moritz Roidl:
UAVs for Industries and Supply Chain Management. - Alan Khoja, Martin Kölbl, Stefan Leue, Rüdiger Wilhelmi:
Formal Modeling and Analysis of Legal Contracts using ContractCheck. - Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Mohammad Abdullah Al Faruque, Smaïl Niar:
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling. - Hao He, Yuan Yuan, Ying-Cong Chen, Peng Cao, Dina Katabi:
Contactless Oxygen Monitoring with Gated Transformer. - Arturo Carpi, Flavio D'Alessandro, Oscar H. Ibarra, Ian McQuillan:
Relationships Between Bounded Languages, Counter Machines, Finite-Index Grammars, Ambiguity, and Commutative Regularity. - Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. - Joey Hejna, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. - Vanessa V. Sochat, Tim Haines:
Software Compatibility Tool Agreement. - Terrence Alsup, Tucker Hartland, Benjamin Peherstorfer, Noémi Petra:
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models. - Wen Jiang, Kostas Daniilidis:
Probabilistic Shape Completion by Estimating Canonical Factors with Hierarchical VAE. - Guan Wang, Weihua Li, Edmund M.-K. Lai, Jianhua Jiang:
KATSum: Knowledge-aware Abstractive Text Summarization. - Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. - Koji Watanabe, Katsumi Inoue:
Learning State Transition Rules from Hidden Layers of Restricted Boltzmann Machines. - Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields:
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation. - Natalie Bombardieri, Matthew Guzdial:
Improving Deep Localized Level Analysis: How Game Logs Can Help. - Zhongtang Luo, Rohan Murukutla, Aniket Kate:
Last Mile of Blockchains: RPC and Node-as-a-service. - Santosh Kumar Yadav, Achleshwar Luthra, Esha Pahwa, Kamlesh Tiwari, Heena Rathore, Hari Mohan Pandey, Peter Corcoran:
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition. - Kynan Sorochan, Matthew Guzdial:
Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search. - Mukesh Gautam, Eliza Hotchkiss, Mohammed Benidris:
Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement. - Seyed Hamed Haghshenas, Abul Hasnat, Mia Naeini:
A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids. - Yi Ju, Teng Zeng, Zaid Allybokus, Scott J. Moura:
Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay. - Yifei Zhang, Neng Gao, Cunqing Ma:
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling. - Md. Nadim, Banani Roy:
Utilizing Source Code Syntax Patterns to Detect Bug Inducing Commits using Machine Learning Models. - Meriem Ben Chaaben, Lola Burgueño, Houari A. Sahraoui:
Towards using Few-Shot Prompt Learning for Automating Model Completion. - Siddhant Ranade, Christoph Lassner, Kai Li, Christian Häne, Shen-Chi Chen, Jean-Charles Bazin, Sofien Bouaziz:
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields. - Jiangsu Du, Dongsheng Li, Yingpeng Wen, Jiazhi Jiang, Dan Huang, Xiangke Liao, Yutong Lu:
SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems. - Alan Q. Wang, Mert R. Sabuncu:
A Simple Nadaraya-Watson Head can offer Explainable and Calibrated Classification. - Yinpeng Dong, Peng Chen, Senyou Deng, Lianji L, Yi Sun, Hanyu Zhao, Jiaxing Li, Yunteng Tan, Xinyu Liu, Yangyi Dong, Enhui Xu, Jincai Xu, Shu Xu, Xuelin Fu, Changfeng Sun, Haoliang Han, Xuchong Zhang, Shen Chen, Zhimin Sun, Junyi Cao, Taiping Yao, Shouhong Ding, Yu Wu, Jian Lin, Tianpeng Wu, Ye Wang, Yu Fu, Lin Feng, Kangkang Gao, Zeyu Liu, Yuanzhe Pang, Chengqi Duan, Huipeng Zhou, Yajie Wang, Yuhang Zhao, Shangbo Wu, Haoran Lyu, Zhiyu Lin, Yifei Gao, Shuang Li, Haonan Wang, Jitao Sang, Chen Ma, Junhao Zheng, Yijia Li, Chao Shen, Chenhao Lin, Zhichao Cui, Guoshuai Liu, Huafeng Shi, Kun Hu, Mengxin Zhang:
Artificial Intelligence Security Competition (AISC). - Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra:
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. - Hideaki Kuratsu, Atsuyoshi Nakamura:
Slimmable Pruned Neural Networks. - Bo Wang, Heng Yuan, Lizuo Liu, Wenzhong Zhang, Wei Cai:
On the Convergence of the Multi-scale Deep Neural Network (MscaleDNN) in Approximating Oscillatory Functions. - Shuang Liu:
Privacy protection and service evaluation methods for location-based services in edge computing environments. - Ruth-Ann Armstrong, John Hewitt, Christopher D. Manning:
JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset. - Jacqueline Libby, Aniket A. Somwanshi, Federico Stancati, Gayatri Tyagi, Aadit Patel, Naigam Bhatt, JohnRoss Rizzo, Seyed Farokh Atashzar:
What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued? - Chenxi Ji:
Capturing the Flow of Art History. - Weidong Wang, Jing Yang:
Generalized Companion Subresultants of Several Univariate Polynomials in Newton Basis. - Yukun Cao, Xike Xie, Kexin Huang:
Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. - Connor Bybee, Denis Kleyko, Dmitri E. Nikonov, Amir Khosrowshahi, Bruno A. Olshausen, Friedrich T. Sommer:
Efficient Optimization with Higher-Order Ising Machines. - Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics from Pairs of Scene-graphs. - Shenghan Su, Lin Gu, Ziteng Cui, Yue Yang, Jingjing Shen, Hiroaki Yamane, Zenghui Zhang, Tatsuya Harada:
Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. - Fengyu Yang, Jian Luan, Yujun Wang:
Improve Bilingual TTS Using Dynamic Language and Phonology Embedding. - Shuhong Xiao, Tingting Zhou, Yunnong Chen, Dengming Zhang, Liuqing Chen, Lingyun Sun, Shiyu Yue:
UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention. - Dannan Hong, Tong Ye:
On 1-Persistent Retransmission in Grant-free Access for URLLC Service. - Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu:
When Geometric Deep Learning Meets Pretrained Protein Language Models. - Jiarui Sun, Mengting Gu, Chin-Chia Michael Yeh, Yujie Fan, Girish Chowdhary, Wei Zhang:
Dynamic Graph Node Classification via Time Augmentation. - Tejasvi Kothapalli, Charlie Shou, Jennifer Ding, Jiayun Wang, Andrew D. Graham, Tatyana Svitova, Stella X. Yu, Meng C. Lin:
Tracking the Dynamics of the Tear Film Lipid Layer. - Farhat Tasnim Progga, Sabirat Rubya:
"just like therapy!": Investigating the Potential of Storytelling in Online Postpartum Depression Communities. - Masahiro Shibata, Yuichi Sudo, Junya Nakamura, Yonghwan Kim:
Partial gathering of mobile agents in dynamic rings. - Rijnard van Tonder:
You Don't Know Search: Helping Users Find Code by Automatically Evaluating Alternative Queries. - Brighter Agyemang, Fenghui Ren, Jun Yan:
Distributed Interaction Graph Construction for Dynamic DCOPs in Cooperative Multi-agent Systems. - Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu:
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. - Xuanyu Shi, Shiyao Xie, Wenjia Wang, Ting Chen, Jian Du:
An automated approach to extracting positive and negative clinical research results. - Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun:
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy. - Yue Han, Christopher Jerrett, Elliot Anshelevich:
Optimizing Multiple Simultaneous Objectives for Voting and Facility Location. - Ankit Bhatia, Matthew T. Mason, Aaron M. Johnson:
Reacting to Contact: Transparency and Collision Reflex in Actuation. - Brijraj Singh, Swati Gupta, Mayukh Das, Praveen Doreswamy Naidu, Sharan Kumar Allur:
Tree DNN: A Deep Container Network. - Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar:
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. - Marius de Arruda Botelho Herr, Michael Graf, Peter Placzek, Florian König, Felix Bötte, Tyra Stickel, David Hieber, Lukas Zimmermann, Michael Slupina, Christopher Mohr, Stephanie Biergans, Mete Akgün, Nico Pfeifer, Oliver Kohlbacher:
Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC). - Chao Liu, Dabin Zheng, Xiaoqiang Wang:
Generalized Hamming Weights of Linear Codes from Quadratic Forms over Finite Fields of Even Characteristic. - Irawan Nurhas, Pouyan Jahanbin, Jan M. Pawlowski, Stephen Wingreen, Stefan Geisler:
Patterns of Sociotechnical Design Preferences of Chatbots for Intergenerational Collaborative Innovation : A Q Methodology Study. - Yue Ma, Tianyu Yang, Yin Shan, Xiu Li:
SimVTP: Simple Video Text Pre-training with Masked Autoencoders. - Ruijia Cheng, Ruotong Wang, Thomas Zimmermann, Denae Ford:
"It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools. - Yi Yang, Jin Huang:
Fast and accurate solvers for time-space fractional diffusion problem with spectral fractional Laplacian. - Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu:
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning. - Sushma Reddy Yadavalli, Lokesh Chandra Das, Myounggyu Won:
RLPG: Reinforcement Learning Approach for Dynamic Intra-Platoon Gap Adaptation for Highway On-Ramp Merging. - Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S. Kevin Zhou, Zhen Li:
BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations. - Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang:
Learning Continuous Depth Representation via Geometric Spatial Aggregator. - Xiang Li, Junbo Yin, Botian Shi, Yikang Li, Ruigang Yang, Jianbing Shen:
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving. - (Withdrawn) A Four-stage Heuristic Algorithm for Solving On-demand Meal Delivery Routing Problem.
- Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhen-Hua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu:
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition. - Seongbeom Park, Suhong Moon, Jinkyu Kim:
Judge, Localize, and Edit: Ensuring Visual Commonsense Morality for Text-to-Image Generation. - Matthias K. Hoffmann, Lennart Heib, Gianluca Rizzello, Giacomo Moretti, Kathrin Flaßkamp:
Multi-Objective Model-Predictive Control for Dielectric Elastomer Wave Harvesters. - Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models. - Zeyad Awwad, Abdulaziz Alharbi, Abdulelah H. Habib, Olivier L. de Weck:
Site Assessment and Layout Optimization for Rooftop Solar Energy Generation in Worldview-3 Imagery. - Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan L. Yuille, Yingwei Li:
AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. - Bowen Xie, Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Yang Xu, Jingran Chen, Deniz Gündüz:
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles. - Mordechai Guri:
COVID-bit: Keep a Distance of (at least) 2m From My Air-Gap Computer! - Ildikó Schlotter:
Recognizing when a preference system is close to admitting a master list. - Lorin Jenkel, Stefan Jonas, Angela Meyer:
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning. - Paul-Antoine Le Tolguenec, Emmanuel Rachelson, Yann Besse, Dennis G. Wilson:
Curiosity creates Diversity in Policy Search. - Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
Text Embeddings by Weakly-Supervised Contrastive Pre-training. - Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu:
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. - Ilya Ploshchik, Angelos Chatzimparmpas, Andreas Kerren:
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels. - Zheng Zhang, Qingrui Zhang, Bo Zhu, Xiaohan Wang, Tianjiang Hu:
Policy Transfer via Enhanced Action Space. - Hikaru Arita, Hayato Nakamura, Takuto Fujiki, Kenji Tahara:
Smoothly Connected Preemptive Impact Reduction and Contact Impedance Control. - Xiaoheng Wei, Xuehuai Shi, Lili Wang:
Label Guidance based Object Locating in Virtual Reality. - Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh, Chung-Nan Lee:
A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Services. - Aleksandr N. Grekov, Aleksei A. Kabanov, Sergei Yu. Alekseev:
Support Vector Machine for Determining Euler Angles in an Inertial Navigation System. - Murray Shanahan:
Talking About Large Language Models. - Sudarshan Tiwari, Axel Klar:
A mesh-free particle method for continuum modeling of granular flow. - Bart Bogaerts, Maxime Jakubowski, Jan Van den Bussche:
Expressiveness of SHACL Features and Extensions for Full Equality and Disjointness Tests. - Ankur Debnath, Shridevi S. Patil, Gangotri Nadiger, Ramakrishnan Angarai Ganesan:
Low-Resource End-to-end Sanskrit TTS using Tacotron2, WaveGlow and Transfer Learning. - Xihong Yang, Yue Liu, Sihang Zhou, Siwei Wang, Xinwang Liu, En Zhu:
Contrastive Deep Graph Clustering with Learnable Augmentation. - Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. - Chao Li:
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble. - Pavol Mulinka, Subham Sahoo, Charalampos Kalalas, Pedro H. J. Nardelli:
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters - A Bayesian Approach. - Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger:
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks. - Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff:
Learning rigid dynamics with face interaction graph networks. - Sanghwan Jang:
Tag Embedding and Well-defined Intermediate Representation improve Auto-Formulation of Problem Description. - Thibault Oujia, Keigo Matsuda, Kai Schneider:
Computing differential operators of the particle velocity in moving particle clouds using tessellations. - Jouko Kinnari, Riccardo Renzulli, Francesco Verdoja, Ville Kyrki:
LSVL: Large-scale season-invariant visual localization for UAVs. - Feng Yan, Zhiheng Li, Weixin Luo, Zequn Jie, Fan Liang, Xiaolin Wei, Lin Ma:
Multiple Object Tracking Challenge Technical Report for Team MT_IoT. - Ziqin Zhou, Bowen Zhang, Yinjie Lei, Lingqiao Liu, Yifan Liu:
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation. - Feiping Nie, Hong Chen, Rong Wang, Xuelong Li:
On the Global Solution of Soft k-Means. - Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. - Rui Xu, Zixiong Wang, Zhiyang Dou, Chen Zong, Shiqing Xin, Mingyan Jiang, Tao Ju, Changhe Tu:
RFEPS: Reconstructing Feature-line Equipped Polygonal Surface. - Eva Ponick, Gabriele Wieczorek:
Artificial Intelligence in Governance, Risk and Compliance: Results of a study on potentials for the application of artificial intelligence (AI) in governance, risk and compliance (GRC). - Bin Han, Muxia Sun, Yao Zhu, Yulin Hu, Anke Schmeink, Yanfu Li, Hans D. Schotten:
Dynamic Multi-Hop HARQ Scheme to Maximize E2E Reliability in the Finite Blocklength Regime. - Marta A. Zagorowska, M. Degner, Lukas Ortmann, Akhil Ahmed, Saverio Bolognani, Ehecatl Antonio del Rio-Chanona, Mehmet Mercangöz:
Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression. - Torsten Priebe, Sebastian Neumaier, Stefan Markus:
Von Data Warehouse bis Data Mesh: Ein Wegweiser durch den Dschungel analytischer Datenarchitekturen. - Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. - Yannis Voet, Espen Sande, Annalisa Buffa:
A mathematical theory for mass lumping and its generalization with applications to isogeometric analysis. - Amogh Pradeep, Álvaro Feal, Julien Gamba, Ashwin Rao, Martina Lindorfer, Narseo Vallina-Rodriguez, David R. Choffnes:
Not Your Average App: A Large-scale Privacy Analysis of Android Browsers. - Huayi Zhou, Fei Jiang, Lili Xiong, Hongtao Lu:
An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation. - Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa:
Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images. - Nesryne Mejri, Laura Lopez-Fuentes, Kankana Roy, Pavel Chernakov, Enjie Ghorbel, Djamila Aouada:
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods. - Lianxin Zhang, Xiaoqiang Ji, Yang Jiao, Yihan Huang, Huihuan Qian:
Design and Control of the "TransBoat": A Transformable Unmanned Surface Vehicle for Overwater Construction. - Hanoona Abdul Rasheed, Muhammad Uzair Khattak, Muhammad Maaz, Salman Khan, Fahad Shahbaz Khan:
Fine-tuned CLIP Models are Efficient Video Learners. - Michele Campobasso, Luca Allodi:
THREAT/crawl: a Trainable, Highly-Reusable, and Extensible Automated Method and Tool to Crawl Criminal Underground Forums. - Ivan Kovacevic, Bruno Stengl, Stjepan Gros:
Systematic review of automatic translation of high-level security policy into firewall rules. - Cameron Trotter, Nick Wright, A. Stephen McGough, Matthew Sharpe, Barbara Cheney, Mònica Arso Civil, Reny Tyson Moore, Jason Allen, Per Berggren:
Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology. - Haixiao Yue, Keyao Wang, Guosheng Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang:
Cyclically Disentangled Feature Translation for Face Anti-spoofing. - Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao:
Node-oriented Spectral Filtering for Graph Neural Networks. - Xuxin Cheng, Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Yuexian Zou:
M3ST: Mix at Three Levels for Speech Translation. - Irene Amerini, Aris Anagnostopoulos, Luca Maiano, Lorenzo Ricciardi Celsi:
Learning Double-Compression Video Fingerprints Left from Social-Media Platforms. - Iztok Fister Jr., Dusan Fister, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz:
Time series numerical association rule mining variants in smart agriculture. - Muhammad Abdullah Naeem:
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach. - Ritu Yadav, Andrea Nascetti, Hossein Azizpour, Yifang Ban:
Unsupervised Flood Detection on SAR Time Series. - Yuyang Sun, Zhiyong Zhang, Isao Echizen, Huy H. Nguyen, Changzhen Qiu, Lu Sun:
Face Forgery Detection Based on Facial Region Displacement Trajectory Series. - Zitong Yu, Chenxu Zhao, Zhen Lei:
Face Presentation Attack Detection. - Daniel Dittler, Peter Lierhammer, Dominik Braun, Timo Müller, Nasser Jazdi, Michael Weyrich:
An Agent-based Realisation for a continuous Model Adaption Approach in intelligent Digital Twins. - Sebastiaan Brand, Thomas Bäck, Alfons Laarman:
A Decision Diagram Operation for Reachability. - Max van Mulken, Bettina Speckmann, Kevin Verbeek:
Density Approximation for Kinetic Groups. - Laura Bocchi, Ivan Lanese, Claudio Antares Mezzina, Shoji Yuen:
revTPL: The Reversible Temporal Process Language. - Matthias Zeller, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss:
Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data. - Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs, Dinesh Kumar Vishwakarma:
Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora. - Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai:
Persona-Based Conversational AI: State of the Art and Challenges. - Sergey Yarushev, Alexey N. Averkin:
Development Of A Fire Detection System On Satellite Images. - Mahmoud Shoush, Marlon Dumas:
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes. - Zihan Wang, Jason D. Lee, Qi Lei:
Reconstructing Training Data from Model Gradient, Provably. - Alexey N. Averkin, Sergey Yarushev:
Overview Of Satellite Image Recognition Models. - Saee Paliwal, Angus Brayne, Benedek Fabian, Maciej Wiatrak, Aaron Sim:
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations. - Sahar Moradizeyveh:
Intent Recognition in Conversational Recommender Systems. - Elis Stefansson, Karl Henrik Johansson:
Hierarchical Finite State Machines for Efficient Optimal Planning in Large-scale Systems. - Lakshya Kumar, Sreekanth Vempati:
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning. - Peng Hu:
Enabling Resilient and Real-Time Network Operations in Space: A Novel Multi-Layer Satellite Networking Scheme. - Signe Sidwall Thygesen, Daniel Witschard, Andreas Kerren, Talha Bin Masood, Ingrid Hotz:
Designing Feature Vector Representations: A case study from Chemistry. - Zhiyuan Zhou, Henry Sowerby, Michael L. Littman:
Specifying Behavior Preference with Tiered Reward Functions. - Zhaonan Dong, Lorenzo Mascotto:
hp-optimal interior penalty discontinuous Galerkin methods for the biharmonic problem. - (Withdrawn) Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation.
- Jiangjie Chen, Yanghua Xiao:
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review. - Andor Diera, Nicolas Lell, Aygul Garifullina, Ansgar Scherp:
A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models. - Qingyan Bai, Ceyuan Yang, Yinghao Xu, Xihui Liu, Yujiu Yang, Yujun Shen:
GLeaD: Improving GANs with A Generator-Leading Task. - Vaishnavi Khindkar, Janhavi Khindkar:
GAMMA: Generative Augmentation for Attentive Marine Debris Detection. - Kyuyong Shin, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyung-Min Kim, Jung-Woo Ha, Sang-Woo Lee:
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. - Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota:
Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. - Hans Bludszuweit, Nurseda Yildirim Yürüsen, Pablo López Pérez, Diego Martínez-López:
INTERPRETER - Tool for non-technical losses detection. - Jannis Blauth, Martin Nägele:
An improved approximation guarantee for Prize-Collecting TSP. - Yaren Bilge Kaya, Kayse Lee Maass:
Leveraging Priority Thresholds to Improve Equitable Housing Access for Unhoused-at-Risk Youth. - Vladislav Makarov:
Why the equivalence problem for unambiguous grammars has not been solved back in 1966? - Shlok Dubey:
Blockchain-based Payment Systems: A Bibliometric & Network Analysis. - Oscar H. Ibarra, Ian McQuillan:
On Families of Full Trios Containing Counter Machine Languages. - Yashovardhan Sharma, Simon Birnbach, Ivan Martinovic:
RADAR: Effective Network-based Malware Detection based on the MITRE ATT&CK Framework. - Idit Diamant, Roy H. Jennings, Oranit Dror, Hai Victor Habi, Arnon Netzer:
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation. - Kristin Kirchner, Christoph Schwab:
Monte Carlo convergence rates for kth moments in Banach spaces. - Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli:
Stochastic Rising Bandits. - Akash Tiwari, Satish T. S. Bukkapatnam:
Unsupervised spectral-band feature identification for optimal process discrimination. - Ricardo do Nascimento Boing, Hugo Vaz Sampaio, Fernando Koch, Rene Nolio Santa Cruz, Carlos Becker Westphall:
Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing. - Victor Paduani, Qi Xiao, Bei Xu, David Lubkeman, Ning Lu:
Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services. - Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, David Fernández Llorca:
Towards Explainable Motion Prediction using Heterogeneous Graph Representations. - Adnan Aijaz, Nan Jiang, Aftab Khan:
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless. - Kristina Lerman:
The Social Emotional Web. - Leo Egghe, Ronald Rousseau:
Generalized Lorenz dominance orders. - Spandan Dey, Md. Sahidullah, Goutam Saha:
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective. - Jiasheng Gu, Hanzi Xu, Liangyu Nie, Wenpeng Yin:
Robustness of Learning from Task Instructions. - Jiaben Chen, Renrui Zhang, Dongze Lian, Jiaqi Yang, Ziyao Zeng, Jianbo Shi:
iQuery: Instruments as Queries for Audio-Visual Sound Separation. - Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. - Hiroki Ishizaka:
An anisotropic weakly over-penalised symmetric interior penalty method for the Stokes equation. - Sarmad Fakhrulddin Ismael, Koray Kayabol, Erchan Aptoula:
Unsupervised Domain Adaptation for Semantic Segmentation using One-shot Image-to-Image Translation via Latent Representation Mixing. - Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. - Cristian Millán-Arias, Ruben Contreras, Francisco Cruz, Bruno J. T. Fernandes:
Reinforcement Learning for UAV control with Policy and Reward Shaping. - Jiajun Chai, Wenzhang Chen, Yuanheng Zhu, Zong-xin Yao, Dongbin Zhao:
A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. - Abdulla Jasem Almansoori, Samuel Horváth, Martin Takác:
Partial Disentanglement with Partially-Federated GANs (PaDPaF). - Yuying Zhao, Yu Wang, Tyler Derr:
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations. - Chunyi Sun, Yanbin Liu, Junlin Han, Stephen Gould:
NeRFEditor: Differentiable Style Decomposition for Full 3D Scene Editing. - Nathaniel Johnston, Benjamin Lovitz, Aravindan Vijayaraghavan:
Computing linear sections of varieties: quantum entanglement, tensor decompositions and beyond. - Gangli Liu:
Clustering with Neural Network and Index. - Manorama Jha:
Point Cloud Registration of non-rigid objects in sparse 3D Scans with applications in Mixed Reality. - Matthew Ricci, Noa Moriel, Zoe Piran, Mor Nitzan:
Phase2vec: Dynamical systems embedding with a physics-informed convolutional network. - Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A. Lee, Huazhe Xu, Edward H. Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu:
See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation. - Gowthami Somepalli, Vasu Singla, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models. - Vladislav Makarov:
Cocke-Younger-Kasami-Schwartz-Zippel algorithm and relatives. - Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava:
Teaching Matters: Investigating the Role of Supervision in Vision Transformers. - Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu:
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion. - Ziqi Zhang, Yile Wang, Yue Zhang, Donglin Wang:
Can Offline Reinforcement Learning Help Natural Language Understanding? - Yassine Yaakoubi, Hager Radi, Roussos G. Dimitrakopoulos:
Learning on Graphs for Mineral Asset Valuation Under Supply and Demand Uncertainty. - Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. - Mekhala Egodawele, Darshana Sedera, Vinh Bui:
A Systematic Review of Digital Transformation Literature (2013-2021) and the development of an overarching apriori model to guide future research. - Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-Training With Scientific Text Improves Educational Question Generation. - Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger B. Grosse:
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. - Ajay Kumar Gogineni:
Analysis of Drug repurposing Knowledge graphs for Covid-19. - Davide Maran, Alberto Maria Metelli, Marcello Restelli:
Tight Performance Guarantees of Imitator Policies with Continuous Actions. - David M. Bossens, Philip Thomas:
Low Variance Off-policy Evaluation with State-based Importance Sampling. - Bin Wang, Bing Xue, Mengjie Zhang:
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks. - Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang:
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. - Giorgos Kritikakis, Ioannis G. Tollis:
Fast and Practical DAG Decomposition with Reachability Applications. - Faezeh Ibrahimi, Mehdi Delrobaei:
Bio-Heat Transfer and Monte Carlo Measurement of Near-Infrared Transcranial Stimulation of Human Brain. - Alexander M. Kübler, Sebastián Urdaneta Rivera, Frances B. Raphael, Julian Förster, Roland Siegwart, Allison M. Okamura:
A Multi-Segment, Soft Growing Robot with Selective Steering. - Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao:
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. - Alba Garcia Seco de Herrera, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana, Lorin Sweeney:
Experiences from the MediaEval Predicting Media Memorability Task. - Long Chen, Piyushimita Thakuriah, Konstantinos Ampountolas:
Short term prediction of demand for ride hailing services: A deep learning approach. - Suman K. Bera, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian:
DeMEtRIS: Counting (near)-Cliques by Crawling. - Gyeongmin Choe, Beibei Du, Seonghyeon Nam, Xiaoyu Xiang, Bo Zhu, Rakesh Ranjan:
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation. - Erin George, Yotam Yaniv, Deanna Needell:
Multi-Randomized Kaczmarz for Latent Class Regression. - Shikhar Tuli, Chia-Hao Li, Ritvik Sharma, Niraj K. Jha:
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. - Dimitris Kostadimas, Kalliopi Kastampolidou, Theodore Andronikos:
Viewing biological and computer viruses as manifestations of games. - Hao Ding, Changchang Sun, Hao Tang, Dawen Cai, Yan Yan:
Few-shot Medical Image Segmentation with Cycle-resemblance Attention. - Tanay Agrawal, Michal Balazia, Philipp Müller, François Brémond:
Multimodal Vision Transformers with Forced Attention for Behavior Analysis. - Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang:
Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers. - Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich:
Counterfactuals for the Future. - Kejun Chen, Shourya Bose, Yu Zhang:
Unsupervised Deep Learning for AC Optimal Power Flow via Lagrangian Duality. - Michal Pándy, Weikang Qiu, Gabriele Corso, Petar Velickovic, Rex Ying, Jure Leskovec, Pietro Liò:
Learning Graph Search Heuristics. - Allan Zhou, Nicholas C. Landolfi, Daniel C. O'Neill:
Unsupervised language models for disease variant prediction. - Benjamin Tag, Niels van Berkel, Sunny Verma, Benjamin Zi Hao Zhao, Shlomo Berkovsky, Dali Kaafar, Vassilis Kostakos, Olga Ohrimenko:
DDoD: Dual Denial of Decision Attacks on Human-AI Teams. - Anil Alan, Chaozhe R. He, Tamás G. Molnár, Johaan C. Mathew, A. Harvey Bell, Gábor Orosz:
Experimental Validation of a Safe Controller Integration Scheme for Connected Automated Trucks. - Oscar H. Ibarra, Ian McQuillan:
State Grammars with Stores. - Sarmad Hanif, Monish Mukherjee, Shiva Poudel, Rohit A Jinsiwale, Min Gyung Yu, Trevor Hardy, Hayden Reeve:
Analyzing At-Scale Distribution Grid Response to Extreme Temperatures. - Nicholas Jones, Eytan H. Modiano:
Minimizing Age of Information in Spatially Distributed Random Access Wireless Networks. - Beichen Zhang, Frank Schilder, Kelly Helm Smith, Michael J. Hayes, Sherri K. Harms, Tsegaye Tadesse:
TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data. - Mohammad Hesam Soleimani-Babakamali, Roksana Soleimani-Babakamali, Kourosh Nasrollahzadeh, Onur Avci, Serkan Kiranyaz, Ertugrul Taciroglu:
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral Mapping. - Vishal Jignesh Gandhi, Sanchit Shokeen, Saloni Koshti:
A Systematic Literature Review On Privacy Of Deep Learning Systems. - Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim:
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Hassan Jameel Asghar, Benjamin Zi Hao Zhao, Muhammad Ikram, Giang L. D. Nguyen, Dali Kaafar, Sean Lamont, Daniel Coscia:
SoK: Use of Cryptography in Malware Obfuscation. - Kartik Anand Pant, Zhanpeng Yang, James M. Goppert, Inseok Hwang:
An Open-Source Gazebo Plugin for GNSS Multipath Signal Emulation in Virtual Urban Canyons. - Emine Dari, Vahit Bugra Yesilkaynak, Alican Mertan, Gozde Unal:
RLSEP: Learning Label Ranks for Multi-label Classification. - Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare:
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces. - Felipe Lepe, David Mora, Jesus Vellojin:
Discontinuous Galerkin methods for the acoustic vibration problem. - Minyang Jiang, Yongwei Wang, Martin J. McKeown, Z. Jane Wang:
Occlusion-Robust FAU Recognition by Mining Latent Space of Masked Autoencoders. - Ryan Marinelli:
Analysis of Deep Learning Architectures and Efficacy of Detecting Forest Fires. - Xiao Han, Lu Zhang, Yongkai Wu, Shuhan Yuan:
On Interpretable Anomaly Detection Using Causal Algorithmic Recourse. - Mrityunjay Kumar, Venkatesh Choppella:
A study of the design and documentation skills of industry-ready CS students. - Hila Gonen, Srini Iyer, Terra Blevins, Noah A. Smith, Luke Zettlemoyer:
Demystifying Prompts in Language Models via Perplexity Estimation. - Hong Jin Kang, Pattarakrit Rattanukul, Stefanus Agus Haryono, Truong Giang Nguyen, Chaiyong Ragkhitwetsagul, Corina S. Pasareanu, David Lo:
SkipFuzz: Active Learning-based Input Selection for Fuzzing Deep Learning Libraries. - Mengyuan Lee, Guanding Yu, Huaiyu Dai, Geoffrey Ye Li:
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions. - Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu:
Executing your Commands via Motion Diffusion in Latent Space. - Gaoxiang Cong, Liang Li, Yuankai Qi, Zhengjun Zha, Qi Wu, Wenyu Wang, Bin Jiang, Ming-Hsuan Yang, Qingming Huang:
Learning to Dub Movies via Hierarchical Prosody Models. - Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Logit Clipping for Robust Learning against Label Noise. - Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. - Zhendong Liu, Wenyu Jiang, Min Guo, Chongjun Wang:
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation. - Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat T. Chakradhar:
Elixir: A system to enhance data quality for multiple analytics on a video stream. - Shweta Vasoya, Krishna Bhavsar, Nishtha Patel:
A systematic literature review on Ransomware attacks. - Wenhui Sui, Brendan Towell, Ava Asmani, Hengjie Yang, Richard D. Wesel:
On CRC-Aided, Dual-Trellis, List Decoding for High-Rate Convolutional Codes with Short Blocklengths. - Jiafu Wei, Ding Xia, Haoran Xie, Chia-Ming Chang, Chuntao Li, Xi Yang:
SpaceEditing: Integrating Human Knowledge into Deep Neural Networks via Interactive Latent Space Editing. - Xinyan Liu, Guorong Li, Yuankai Qi, Zhenjun Han, Qingming Huang, Ming-Hsuan Yang, Nicu Sebe:
Consistency-Aware Anchor Pyramid Network for Crowd Localization. - Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu:
Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next. - Zhenting Zhao, Po-Yen Chen, Yucheng Jin:
Reinforcement Learning for Resilient Power Grids. - Azade Mohammadi, Reza Ramezani, Ahmad Baraani:
A Comprehensive Survey on Multi-hop Machine Reading Comprehension Datasets and Metrics. - Azade Mohammadi, Reza Ramezani, Ahmad Baraani:
A Comprehensive Survey on Multi-hop Machine Reading Comprehension Approaches. - Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah:
Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence. - Jorge Neira-Garcia, Sudip Vhaduri:
Predicting dominant hand from spatiotemporal context varying physiological data. - Shuhao Cao, Lizhen Qin:
A numerical domain decomposition method for solving elliptic equations on manifolds. - Xuan Zhao, Zhongqin Xue:
Convergence analysis of variable steps BDF2 method for the space fractional Cahn-Hilliard model. - Liu Liu, Kunlun Qi:
Convergence of the Fourier-Galerkin spectral method for the Boltzmann equation with uncertainties. - Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales:
Federated Learning for Inference at Anytime and Anywhere. - Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng:
Graph Matching with Bi-level Noisy Correspondence. - Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su:
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. - Gabriel Ilharco, Marco Túlio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, Ali Farhadi:
Editing Models with Task Arithmetic. - Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang:
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection. - Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner:
Successive Prompting for Decomposing Complex Questions. - Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi:
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. - Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. - Xiaoshui Huang, Sheng Li, Wentao Qu, Tong He, Yifan Zuo, Wanli Ouyang:
Frozen CLIP Model is An Efficient Point Cloud Backbone. - Ye Li, Yiwen Pang, Bin Shan:
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations. - Hamidreza Mahini, Hamid Mousavi, Masoud Daneshtalab:
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques. - Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao:
All-to-key Attention for Arbitrary Style Transfer. - Ashirwad Sinha, Praful D. Mankar, Nikolaos Pappas, Harpreet S. Dhillon:
Age of Information with On-Off Service. - Ashish Hooda, Andrey Labunets, Tadayoshi Kohno, Earlence Fernandes:
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance. - Yunshan Zhong, Mingbao Lin, Lizhou You, Yuxin Zhang, Luoqi Liu, Rongrong Ji:
Shadow Removal by High-Quality Shadow Synthesis. - Zizhang Wu, Yuanzhu Gan, Xianzhi Li, Yunzhe Wu, Xiaoquan Wang, Tianhao Xu, Fan Wang:
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework. - Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. - Zizhang Wu, Xinyuan Chen, Jizheng Wang, Xiaoquan Wang, Yuanzhu Gan, Muqing Fang, Tianhao Xu:
OCR-RTPS: An OCR-based real-time positioning system for the valet parking. - Young-Jun Lee, Byungsoo Ko, Han-Gyu Kim, Ho-Jin Choi:
DialogCC: Large-Scale Multi-Modal Dialogue Dataset. - Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-attentive Sequential Recommendation. - Sarah H. Q. Li, Avi Mittal, Pierre-Loïc Garoche, Behçet Açikmese:
Reducing Collision Risk in Multi-Agent Path Planning: Application to Air traffic Management. - Fabian Hart, Ostap Okhrin:
Enhanced method for reinforcement learning based dynamic obstacle avoidance by assessment of collision risk. - Zizhang Wu, Tianhao Xu, Fan Wang, Xiaoquan Wang, Jing Song:
Complete Solution for Vehicle Re-ID in Surround-view Camera System. - Ziheng Yan, Yuankai Qi, Guorong Li, Xinyan Liu, Weigang Zhang, Qingming Huang, Ming-Hsuan Yang:
Progressive Multi-resolution Loss for Crowd Counting. - Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Model Assembling. - Jiageng Zhong, Ming Li, Hanqi Zhang, Jiangying Qin:
Combining Photogrammetric Computer Vision and Semantic Segmentation for Fine-grained Understanding of Coral Reef Growth under Climate Change. - Skye Berghel, Philip Bohannon, Damien Desfontaines, Charles Estes, Samuel Haney, Luke Hartman, Michael Hay, Ashwin Machanavajjhala, Tom Magerlein, Gerome Miklau, Amritha Pai, William Sexton, Ruchit Shrestha:
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy. - Rob Stevenson, Johannes Storn:
Interpolation Operators for parabolic Problems. - Cesare Caputo, Michel-Alexandre Cardin, Pudong Ge, Fei Teng, Anna Korre, Ehecatl Antonio del Rio-Chanona:
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning. - Kaiyuan Tan, Jun Wang, Yiannis Kantaros:
Targeted Adversarial Attacks against Neural Network Trajectory Predictors. - Yiwen Lu, Yilin Mo:
Safe and Efficient Switching Controller Design for Partially Observed Linear-Gaussian Systems. - Yulu Gan, Xianzheng Ma, Yihang Lou, Yan Bai, Renrui Zhang, Nian Shi, Lin Luo:
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. - Wenxin Wang, Boyun Li, Yuanbiao Gou, Peng Hu, Xi Peng:
Relationship Quantification of Image Degradations. - Aditya Murali, Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, Nariaki Okamoto, Didier Mutter, Nicolas Padoy:
Latent Graph Representations for Critical View of Safety Assessment. - Wenhao Yu, Chengxiang Zhao, Jiaxin Liu, Yingkai Yang, Xiaohan Ma, Jun Li, Weida Wang, Hong Wang, Ding Zhao:
Digitization of Chinese Traffic Laws: Methodologies, Quantative Analysis, and Usage for Monitoring Driving Compliance. - Yixin Li, Liang Liang, Yunjian Jia, Wanli Wen, Chaowei Tang, Zhengchuan Chen:
Blockchain for Data Sharing at the Network Edge: Trade-Off Between Capability and Security. - Mohammad Zunaed, Shaikh Anowarul Fattah:
A Novel Hierarchical-Classification-Block Based Convolutional Neural Network for Source Camera Model Identification. - Yijun Wang, Rui Lang, Rui Li, Junsong Zhang:
NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images. - Marcel Wagner, Yannick Schmitz, Egon Wanke:
On the strong metric dimension of composed graphs. - Linard Arquint, Felix A. Wolf, Joseph Lallemand, Ralf Sasse, Christoph Sprenger, Sven N. Wiesner, David A. Basin, Peter Müller:
Sound Verification of Security Protocols: From Design to Interoperable Implementations (extended version). - Kan Huang, Kai Zhang, Ming Liu:
GreenEyes: An Air Quality Evaluating Model based on WaveNet. - Robert Tjarko Lange:
evosax: JAX-based Evolution Strategies. - Matthias Feurer, Katharina Eggensperger, Edward Bergman, Florian Pfisterer, Bernd Bischl, Frank Hutter:
Mind the Gap: Measuring Generalization Performance Across Multiple Objectives. - Olivier Sentieys, Daniel Ménard:
Customizing Number Representation and Precision. - Zilin Lin, Kasper Welbers, Susan Vermeer, Damian Trilling:
Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues. - Juan J. Marfil, Antonio Sanchez, Belén Carro:
Bundling Impacts in Spanish Telecommunications Market. - Zhengyang Zhang, Zhihui Liu, Wenjin Zhang, Rui Zhang, Xiang Xiao:
Electromagnetic Environment Analysis of High-Power Wireless Charging Device. - Mart Lubbers, Pieter W. M. Koopman, Rinus Plasmeijer:
Writing Internet of Things Applicatations with Task-Oriented Programming. - Christoph Döpmann, Felix Fiedler, Sergio Lucia, Florian Tschorsch:
Optimization-Based Predictive Congestion Control for the Tor Network: Opportunities and Challenges. - Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao:
Learning Domain Invariant Prompt for Vision-Language Models. - Yuekai Jia, Shuang Liu, Wenhao Wang, Yu Chen, Zhengde Zhai, Shoumeng Yan, Zhengyu He:
HyperEnclave: An Open and Cross-platform Trusted Execution Environment. - (Withdrawn) A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems.
- Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang:
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. - Katie Seaborn, Alexa Frank:
What Pronouns for Pepper? A Critical Review of Gender/ing in Research. - Naoto Ohsaka:
Gap Preserving Reductions between Reconfiguration Problems. - Dominik Probst, Hasnain Raza, Erik Rodner:
Evaluating Zero-cost Active Learning for Object Detection. - Vilde B. Gjærum, Inga Strümke, Anastasios M. Lekkas, Tim Miller:
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs. - Katie Seaborn, Takuya Sekiguchi, Seiki Tokunaga, Norihisa P. Miyake, Mihoko Otake-Matsuura:
Voice Over Body? Older Adults' Reactions to Robot and Voice Assistant Facilitators of Group Conversation. - Xiuying Chen, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Scientific Paper Extractive Summarization Enhanced by Citation Graphs. - Olivier Bousquet, Haim Kaplan, Aryeh Kontorovich, Yishay Mansour, Shay Moran, Menachem Sadigurschi, Uri Stemmer:
Differentially-Private Bayes Consistency. - Emmanuel Paviot-Adet, Denis Poitrenaud, Etienne Renault, Yann Thierry-Mieg:
Structural Reductions and Stutter Sensitive Properties. - Nai Ding:
The Neural Correlates of Linguistic Structure Building: Comments on Kazanina & Tavano (2022). - Yajie Liu, Pu Ge, Qingjie Liu, Shichao Fan, Yunhong Wang:
An Empirical Study on Multi-Domain Robust Semantic Segmentation. - Mohammad Malekzadeh, Deniz Gündüz:
Vicious Classifiers: Data Reconstruction Attack at Inference Time. - Jiaxin Zhang, Wei Sui, Qian Zhang, Tao Chen, Cong Yang:
Towards Accurate Ground Plane Normal Estimation from Ego-Motion. - Ibrahim Batuhan Akkaya, Ugur Halici:
Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation. - Prashant Hari Narayan Rajput, Constantine Doumanidis, Michail Maniatakos:
ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence Graphs. - Björn Plüster, Jakob Ambsdorf, Lukas Braach, Jae Hee Lee, Stefan Wermter:
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. - Aisha Ahmed AlArfaj, Ellis Solaiman:
Comparing different qualitative methods to understand user experience in Saudi Arabia. - Lihai Nie, Xiaoyang Shan, Laiping Zhao, Keqiu Li:
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets. - Jiantong Jiang, Zeyi Wen, Atif Bin Mansoor, Ajmal Mian:
Fast Parallel Exact Inference on Bayesian Networks: Poster. - Olesya Mryglod:
One for all and all for one: on the role of a conference in life of scientist. - Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette:
Domain generalization of 3D semantic segmentation in autonomous driving. - Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao:
ViTPose+: Vision Transformer Foundation Model for Generic Body Pose Estimation. - Chengwei Zheng, Wenbin Lin, Feng Xu:
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points. - Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang:
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. - Hai Li, Zhan Li, Xiaolong Zheng, Jinhui Liu:
Adaptive Neural Network Backstepping Control Method for Aerial Manipulator Based on Variable Inertia Parameter Modeling. - Md. Samin Morshed, Sabbir Ahmed, Tasnim Ahmed, Muhammad Usama Islam, A. B. M. Ashikur Rahman:
Fruit Quality Assessment with Densely Connected Convolutional Neural Network. - Xingxing Zhang, Yiran Liu, Xun Wang, Pengcheng He, Yang Yu, Si-Qing Chen, Wayne Xiong, Furu Wei:
Momentum Calibration for Text Generation. - Jiantong Jiang, Zeyi Wen, Ajmal Mian:
Fast Parallel Bayesian Network Structure Learning. - Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang:
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. - Ahmet Güzel, Jeanne Beyazian, Praneeth Chakravarthula, Kaan Aksit:
ChromaCorrect: Prescription Correction in Virtual Reality Headsets through Perceptual Guidance. - Mustafa Shukor, Nicolas Thome, Matthieu Cord:
Structured Vision-Language Pretraining for Computational Cooking. - Vítor Lourenço, Aline Paes:
A Modality-level Explainable Framework for Misinformation Checking in Social Networks. - Pantea Haghighatkhah, Antske Fokkens, Pia Sommerauer, Bettina Speckmann, Kevin Verbeek:
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection. - Nikolaos Pallikarakis, Andreas Ntargaras:
Application of machine learning regression models to inverse eigenvalue problems. - Erick Galinkin, Emmanouil Pountourakis, John Carter, Spiros Mancoridis:
Simulation of Attacker Defender Interaction in a Noisy Security Game. - Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng:
Mitigating Spurious Correlations for Self-supervised Recommendation. - Krish Khanna, Jeffrey Lu, Jay Warrier:
The Impact of Socioeconomic Factors on Health Disparities. - Luis Maßny, Antonia Wachter-Zeh:
Secure Over-the-Air Computation using Zero-Forced Artificial Noise. - Frédéric Cérou, Patrick Héas, Mathias Rousset:
Entropy minimizing distributions are worst-case optimal importance proposals. - Siobhán Correnty, Elias Jarlebring, Daniel B. Szyld:
Preconditioned Chebyshev BiCG for parameterized linear systems. - Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys, David Novo, Ian O'Connor, Alberto Bosio:
Approximations in Deep Learning. - Taisuke Kobayashi, Kota Fukumoto:
Real-time Sampling-based Model Predictive Control based on Reverse Kullback-Leibler Divergence and Its Adaptive Acceleration. - AmirEhsan Khorashadizadeh, Ali Aghababaei Harandi, Tin Vlasic, Hieu Nguyen, Ivan Dokmanic:
Deep Variational Inverse Scattering. - Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas:
Montague semantics and modifier consistency measurement in neural language models. - Thinh Gia Tran, Dat Thanh Vo, Long Chau Tran, Hoang Viet Pham, Chuong Dinh Le, An Dinh Le, Duy Anh Pham, Hien Bich Vo:
Scalable, low-cost, and versatile system design for air pollution and traffic density monitoring and analysis. - Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. Grewe:
Bio-Inspired, Task-Free Continual Learning through Activity Regularization. - Stefano Panzeri, Ella Janotte, Alejandro Pequeño-Zurro, Jacopo Bonato, Chiara Bartolozzi:
Constraints on the design of neuromorphic circuits set by the properties of neural population codes. - Nicola Piovesan, David López-Pérez, Antonio De Domenico, Xinli Geng, Harvey Bao:
Power Consumption Modeling of 5G Multi-Carrier Base Stations: A Machine Learning Approach. - Seongmin Hong, Inbum Park, Se Young Chun:
On the Robustness of Normalizing Flows for Inverse Problems in Imaging. - Guodong Yin, Mufeng Zhou, Yiming Chen, Wenjun Tang, Zekun Yang, Mingyen Lee, Xirui Du, Jinshan Yue, Jiaxin Liu, Huazhong Yang, Yongpan Liu, Xueqing Li:
A 65nm 8b-Activation 8b-Weight SRAM-Based Charge-Domain Computing-in-Memory Macro Using A Fully-Parallel Analog Adder Network and A Single-ADC Interface. - Birgit Vogel-Heuser, Juliane Fischer, Stefan Feldmann, Sebastian Ulewicz, Susanne Rösch:
Modularity and Architecture of PLC-based Software for Automated Production Systems: An analysis in industrial companies. - Jan Weinreich, Guido Falk von Rudorff, O. Anatole von Lilienfeld:
Encrypted machine learning of molecular quantum properties. - Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen:
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. - Adnan Theerens, Chris Cornelis:
Fuzzy Rough Sets Based on Fuzzy Quantification. - Birgit Vogel-Heuser, Felix Ocker:
Maintainability and evolvability of control software in machine and plant manufacturing - An industrial survey. - Christopher Bockel-Rickermann, Tim Verdonck, Wouter Verbeke:
Fraud Analytics: A Decade of Research - Organizing Challenges and Solutions in the Field. - Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder:
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. - Diego Moura, Vinicius Petrucci, Daniel Mossé:
Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics. - Ilyasse Belkacem, Christian Tominski, Nicolas Médoc, Søren Knudsen, Raimund Dachselt, Mohammad Ghoniem:
Interactive Visualization on Large High-Resolution Displays: A Survey. - Xin Zhou, Adam J. Spiers:
E-TRoll: Tactile Sensing and Classification via A Simple Robotic Gripper for Extended Rolling Manipulations. - Hien Huynh, Tomas O. Lentz, Emiel van Miltenburg:
Implicit causality in GPT-2: a case study. - Manuel F. Ferrer-Garcia, Avishy Carmi, Alessio D'Errico, Hugo Larocque, Eliahu Cohen, Ebrahim Karimi:
Secure communication using low dimensional topological elements. - Jonathan S. Kent:
Designing with Non-Finite Output Dimension via Fourier Coefficients of Neural Waveforms. - Rajarshi Roy Chowdhury, Azam Che-Idris, Pg Emeroylariffion Abas:
Device identification using optimized digital footprints. - Sebastian Ulewicz, Birgit Vogel-Heuser:
Increasing System Test Coverage in Production Automation Systems. - Kaifa Zhao, Le Yu, Shiyao Zhou, Jing Li, Xiapu Luo, Aemon Yat Fei Chiu, Yutong Liu:
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification. - Xingyu Liu, Deepak Pathak, Kris M. Kitani:
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration. - Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi, Lea Hering, Justus Thies, Michael J. Black:
MIME: Human-Aware 3D Scene Generation. - Sergei A. Malyugin:
Linear and group perfect codes over skew fields and quasi skew fields. - Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. - Glenn Van Wallendael, Lucas Liegeois, Julie Artois, Peter Lambert:
Head Movement Modeling for Immersive Visualization in VR. - Jiawei Zhu, Mei Hong, Ronghua Du, Haifeng Li:
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples. - Yentl Vermeulen, Sam Van Damme, Glenn Van Wallendael, Filip De Turck, Maria Torres Vega:
Haptic Interactions for Extended Reality. - Ergute Bao, Yizheng Zhu, Xiaokui Xiao, Yin Yang, Beng Chin Ooi, Benjamin Hong Meng Tan, Khin Mi Mi Aung:
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy. - Purusothmn Nair S. Bhasker Nair, Raymond R. Tan, Dominic C. Y. Foo, Disni Gamaralalage, Michael Short:
DECO2 An Open-source Energy System Decarbonisation Planning Software Including Negative Emissions Technologies. - Pengzhi Yang, Haowen Liu, Monika Roznere, Alberto Quattrini Li:
Monocular Camera and Single-Beam Sonar-Based Underwater Collision-Free Navigation with Domain Randomization. - Natalia Cherezova, Dmitri Mihhailov, Sergei Devadze, Artur Jutman:
HLS-based Optimization of Tau Triggering Algorithm for LHC: a case study. - Shahriar Rezghi Shirsavar, AbdolHossein Vahabie, Mohammad-Reza Abolghasemi Dehaqani:
Models Developed for Spiking Neural Networks. - Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao:
BEVBert: Topo-Metric Map Pre-training for Language-guided Navigation. - Markus Worchel, Rodrigo Diaz, Weiwen Hu, Oliver Schreer, Ingo Feldmann, Peter Eisert:
Multi-View Mesh Reconstruction with Neural Deferred Shading. - Yuhui Su, Chunyang Chen, Junjie Wang, Zhe Liu, Dandan Wang, Shoubin Li, Qing Wang:
The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps. - Dawei Sun, Minhyun Cho, Inseok Hwang:
On Attack Detection and Identification for the Cyber-Physical System using Lifted System Model. - Ida Momennejad:
A Rubric for Human-like Agents and NeuroAI. - Lorenzo Loconte, Gennaro Gala:
DeeProb-kit: a Python Library for Deep Probabilistic Modelling. - Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jägersand, Samuele Tosatto:
Variable-Decision Frequency Option Critic. - Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. - Sachit Menon, Ishaan Preetam Chandratreya, Carl Vondrick:
Task Bias in Vision-Language Models. - Mark Hobbs, Hussein Rappel, Tim J. Dodwell:
A probabilistic peridynamic framework with an application to the study of the statistical size effect. - Conor Muldoon, Levent Görgü, John J. O'Sullivan, Wim G. Meijer, Gregory M. P. O'Hare:
Mining Explainable Predictive Features for Water Quality Management. - Hongwei Yi, Hualin Liang, Yifei Liu, Qiong Cao, Yandong Wen, Timo Bolkart, Dacheng Tao, Michael J. Black:
Generating Holistic 3D Human Motion from Speech. - Benjamin Fele, Ajda Lampe, Peter Peer, Vitomir Struc:
C-VTON: Context-Driven Image-Based Virtual Try-On Network. - Jeanne-Marie Musca, Anders Miltner, Kathleen Fisher, David Walker:
Technical Report: Match-reference regular expressions and lenses. - Geoffroi Côté, Fahim Mannan, Simon Thibault, Jean-François Lalonde, Felix Heide:
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection. - Qiyuan Pang, Haizhao Yang:
A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. - Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Max Berniker, Satoshi Kondo, Emanuele Colleoni, Dimitris Psychogyios, Yueming Jin, Jinfan Zhou, Evangelos B. Mazomenos, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge. - Robert I. Cukier:
Three Variations on Variational Autoencoders. - Truc D. T. Nguyen, Phung Lai, NhatHai Phan, My T. Thai:
XRand: Differentially Private Defense against Explanation-Guided Attacks. - Rajat Arora, Ankit Shrivastava:
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning. - Louis Kirsch, James Harrison, Jascha Sohl-Dickstein, Luke Metz:
General-Purpose In-Context Learning by Meta-Learning Transformers. - Mahsa Forouzesh, Hanie Sedghi, Patrick Thiran:
Leveraging Unlabeled Data to Track Memorization. - Razin A. Shaikh, Quanlong Wang, Richie Yeung:
How to Sum and Exponentiate Hamiltonians in ZXW Calculus. 236-261 - Ashkan Javaherian:
On inclusion of source in the system of first-order linear acoustic wave equations. - Benedikt Fesl, Michael Koller, Wolfgang Utschick:
On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems. - Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
Diffusion Guided Domain Adaptation of Image Generators. - Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. - Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar:
A Survey of Graph Neural Networks for Social Recommender Systems. - Tomoki Ichikawa, Yoshiki Fukao, Shohei Nobuhara, Ko Nishino:
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection. - Mohammad Mahdi Mahvari, Gerhard Kramer:
Stability of Bernstein's Theorem and Soft Doubling for Vector Gaussian Channels. - Ashwinee Panda, Xinyu Tang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning. - Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. - Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren:
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. - Workneh Yilma Ayele:
Improving the Utilization of Digital Services - Evaluating Contest - Driven Open Data Development and the Adoption of Cloud Services. - Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu:
Few-View Object Reconstruction with Unknown Categories and Camera Poses. - Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G. Schwing, Liangyan Gui:
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation. - Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt:
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. - Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation. - Kenneth Shaw, Shikhar Bahl, Deepak Pathak:
VideoDex: Learning Dexterity from Internet Videos. - Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang:
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning. - Yue Zhao, Ishan Misra, Philipp Krähenbühl, Rohit Girdhar:
Learning Video Representations from Large Language Models. - Bingzhi Li, Guillaume Wisniewski, Benoît Crabbé:
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance Agreement. - Harshit Parmar, Eric A. Walden:
Towards Practical Application of Deep Learning in Diagnosis of Alzheimer's Disease. - Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar:
ORCa: Glossy Objects as Radiance Field Cameras. - Fatih Cagatay Akyon, Alptekin Temizel:
Deep Architectures for Content Moderation and Movie Content Rating. - Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei:
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. - Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang:
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. - Yonatan Bitton, Ron Yosef, Eli Strugo, Dafna Shahaf, Roy Schwartz, Gabriel Stanovsky:
VASR: Visual Analogies of Situation Recognition. - Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni:
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection. - (Withdrawn) STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction.
- Nitish Gupta, Kurt M. Wilson, Zhishan Guo:
Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH. - Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, George Teodoro, Wagner Meira Jr.:
Efficient Strategies for Graph Pattern Mining Algorithms on GPUs. - Aidan Curtis, Leslie Pack Kaelbling, Siddarth Jain:
Task-Directed Exploration in Continuous POMDPs for Robotic Manipulation of Articulated Objects. - Takahiro Tsumura, Seiji Yamada:
Influence of anthropomorphic agent on human empathy through games. - Satyaprajna Sahoo, Anwarul Islam Sifat, Anamitra Pal:
Data-Driven Flow and Injection Estimation in PMU-Unobservable Transmission Systems. - Harsiddh Kalariya, Kavish Shah, Vini Patel:
An SLR on Edge Computing Security and possible threat protection. - Yifan Zhou, Shubham D. Sonawani, Mariano J. Phielipp, Simon Stepputtis, Heni Ben Amor:
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation. - Hadi Hosseini, Joshua Kavner, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Hide, Not Seek: Perceived Fairness in Envy-Free Allocations of Indivisible Goods. - Xiangyu Xu, Li Guan, Enrique Dunn, Haoxiang Li, Guang Hua:
DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization. - Duo Xu, Faramarz Fekri:
Generalizing LTL Instructions via Future Dependent Options. - Onur Beker, Mohammad Mohammadi, Amir Zamir:
PALMER: Perception-Action Loop with Memory for Long-Horizon Planning. - Natalia Valderrama, Paola Ruiz Puentes, Isabela Hernández, Nicolás Ayobi, Mathilde Verlyck, Jessica Santander, Juan Caicedo, Nicolás Fernández, Pablo Arbeláez:
Towards Holistic Surgical Scene Understanding. - Parvez Mahbub, Ohiduzzaman Shuvo, Mohammad Masudur Rahman:
Explaining Software Bugs Leveraging Code Structures in Neural Machine Translation. - Michael Pilosov, Carlos del-Castillo-Negrete, Tian Yu Yen, Troy D. Butler, Clint N. Dawson:
Parameter Estimation with Maximal Updated Densities. - Eduardo C. Garrido-Merchán, Javier Sánchez-Cañizares:
Optimizing Integrated Information with a Prior Guided Random Search Algorithm. - Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn:
Learning Options via Compression. - Shiva Moshtagh, Anwarul Islam Sifat, Behrouz Azimian, Anamitra Pal:
Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes. - Usman Gohar, Sumon Biswas, Hridesh Rajan:
Towards Understanding Fairness and its Composition in Ensemble Machine Learning. - Aman Agarwal:
Explain to me like I am five - Sentence Simplification Using Transformers. - David Cao, Rose Kunkel, Chandrakana Nandi, Max Willsey, Zachary Tatlock, Nadia Polikarpova:
babble: Learning Better Abstractions with E-Graphs and Anti-Unification. - Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. - Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu:
Localized Contrastive Learning on Graphs. - Joey Hong, Aviral Kumar, Sergey Levine:
Confidence-Conditioned Value Functions for Offline Reinforcement Learning. - Giovanni Betti, Federico Tartarini, Christine Nguyen, Stefano Schiavon:
CBE Clima Tool: a free and open-source web application for climate analysis tailored to sustainable building design. - Shiyang Lai:
Multidimensional Service Quality Scoring System. - Zayd Hammoudeh, Daniel Lowd:
Training Data Influence Analysis and Estimation: A Survey. - Kyle Buettner, Adriana Kovashka:
Contrastive View Design Strategies to Enhance Robustness to Domain Shifts in Downstream Object Detection. - Manas Gupta, Sarthak Ketanbhai Modi, Hang Zhang, Joon Hei Lee, Joo Hwee Lim:
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop. - Rabayet Sadnan, Nathan Gray, Anjan Bose, Anamika Dubey:
Simulation-Integrated Distributed Optimal Power Flow for Unbalanced Power Distribution Systems. - Sarmad Hanif, Rabayet Sadnan, Tylor E. Slay, Nawaf Nazir, Shiva Poudel, Bilal Bhatti, Andy Reiman, Jim Follum, Joseph McKinsey, Tarek Elgindy, Rui Yang:
On Distribution Grid Optimal Power Flow Development and Integration. - Parth Dipakkumar Patel, Prem Trivedi:
A systematic literature review on Virtual Reality and Augmented Reality in terms of privacy, authorization and data-leaks. - Yan Qin, Anushiya Arunan, Chau Yuen:
Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data. - Vedant Mundheda, Karan Mirakhor, Rahul K. S, Harikumar Kandath, Nagamanikandan Govindan:
Predictive Barrier Lyapunov Function Based Control for Safe Trajectory Tracking of an Aerial Manipulator. - Julius Adebayo, Michael Muelly, Hal Abelson, Been Kim:
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation. - Lena Podina, Brydon Eastman, Mohammad Kohandel:
A PINN Approach to Symbolic Differential Operator Discovery with Sparse Data. - Bo Hu, José C. Príncipe:
The Cross Density Kernel Function: A Novel Framework to Quantify Statistical Dependence for Random Processes. - Wei Chen, Xi Jia, Zhongqun Zhang, Hyung Jin Chang, Linlin Shen, Ales Leonardis:
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation. - Lei Liu, Javier E. Santos, Masa Prodanovic, Michael J. Pyrcz:
Mitigation of Spatial Nonstationarity with Vision Transformers. - Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson:
Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey. - Jiaman Li, C. Karen Liu, Jiajun Wu:
Ego-Body Pose Estimation via Ego-Head Pose Estimation. - Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li:
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. - Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. - Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, Minxian Xu, Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Junhui Du, Huaming Wu, Shreya Ghosh, Deepraj Chowdhury, Muhammed Golec, Mohit Kumar, Ahmed M. Abdelmoniem, Félix Cuadrado, Blesson Varghese, Omer F. Rana, Schahram Dustdar, Steve Uhlig:
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions. - Michael Everett, Rudy Bunel, Shayegan Omidshafiei:
DRIP: Domain Refinement Iteration with Polytopes for Backward Reachability Analysis of Neural Feedback Loops. - Yitong Li, Fengxiu Zhang, Wenying Ji:
Automated Integration of Infrastructure Component Status for Real-Time Restoration Progress Control: Case Study of Highway System in Hurricane Harvey. - Ruqayah Alsayed Ebrahim, Shivanan Singh, Yitong Li, Wenying Ji:
Discrete Event Simulation for Port Berth Maintenance Planning. - Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui:
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction. - Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz:
Robust Graph Representation Learning via Predictive Coding. - Guntur Dharma Putra, Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Trust and Reputation Management for Blockchain-enabled IoT. - Meng Zhou, Xiaolan Xu, Yuxuan Zhang:
An Attention-based Multi-Scale Feature Learning Network for Multimodal Medical Image Fusion. - Wuzhe Xu, Yulong Lu, Li Wang:
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations. - Soumyadip Roy, Chaitanya Roygaga, Nathaniel Blanchard, Aparna Bharati:
A Computer Vision Method for Estimating Velocity from Jumps. - Yuval Bahat, Yuxuan Zhang, Hendrik Sommerhoff, Andreas Kolb, Felix Heide:
Neural Volume Super-Resolution. - Yuyang Zhao, Na Zhao, Gim Hee Lee:
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds. - Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. - Qi Jiang, Hao Sun, Xi Zhang:
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection. - Injoon Cho, Praveen Kumar Rajendran, Taeyoung Kim, Dongsoo Har:
Reinforcement Learning for Predicting Traffic Accidents. - (Withdrawn) Motion and Context-Aware Audio-Visual Conditioned Video Prediction.
- Dan Qiao, Yu-Xiang Wang:
Near-Optimal Differentially Private Reinforcement Learning. - Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. - Yueying Chang, Richard O. Sinnott:
Machine Learning-based Classification of Birds through Birdsong. - Rui Zhu, Di Tang, Siyuan Tang, XiaoFeng Wang, Haixu Tang:
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models. - Keshav Kapur, Rajitha Harikrishnan:
Comparative Study of Sentiment Analysis for Multi-Sourced Social Media Platforms. - Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li:
Non-equispaced Fourier Neural Solvers for PDEs. - Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, Sérgio Pereira:
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets. - Toshihiro Ota, Ryo Karakida:
Attention in a family of Boltzmann machines emerging from modern Hopfield networks. - Jie Jiang, Zhimin Li, Jiangfeng Xiong, Rongwei Quan, Qinglin Lu, Wei Liu:
Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation. - Zhongshu Wang, Lingzhi Li, Zhen Shen, Li Shen, Liefeng Bo:
4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions. - Youming Deng, Xueting Li, Sifei Liu, Ming-Hsuan Yang:
DIP: Differentiable Interreflection-aware Physics-based Inverse Rendering. - Fabio Cacciatori, Sergei M. Nikolaev, Dmitrii Grigorev:
The Platform for non-metallic pipes defects recognition. Design and Implementation. - Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. - Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang, Hanspeter Pfister, Bihan Wen:
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal. - Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee:
Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning. - Joey Hong, Kush Bhatia, Anca D. Dragan:
On the Sensitivity of Reward Inference to Misspecified Human Models. - Samie Alizadeh, Márton Pósfai, Abdorasoul Ghasemi:
Controllability of complex networks: input node placement restricting the longest control chain. - Yuying Man, Shizhu Tian, Nian Li, Xiangyong Zeng:
Several new infinite classes of 0-APN power functions over F2n. - Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh:
Multi-Task Off-Policy Learning from Bandit Feedback. - Anas Gouda, Danny Heinrich, Mirco Hünnefeld, Irfan Fachrudin Priyanta, Christopher Reining, Moritz Roidl:
A Grid-based Sensor Floor Platform for Robot Localization using Machine Learning. - Yuzhen Mao, Jianhui Sun, Dawei Zhou:
Augmenting Knowledge Transfer across Graphs. - Tian Bai, Mingyu Xiao:
Breaking the Barrier 2k for Subset Feedback Vertex Set in Chordal Graphs. - Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang:
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. - Hyeonbin Hwang, Haanju Yoo, Yera Choi:
MED-SE: Medical Entity Definition-based Sentence Embedding. - Tim Kutta, Önder Askin, Martin Dunsche:
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting. - Doga Türkseven, Islem Rekik, Christoph von Tycowicz, Martin Hanik:
Predicting Shape Development: a Riemannian Method. - Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu:
Physically Plausible Animation of Human Upper Body from a Single Image. - Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei:
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud. - Marziyeh Bamdad, Davide Scaramuzza, Alireza Darvishy:
SLAM for Visually Impaired People: A Survey. - Daniel Felder, Katerina Muche, John Linkhorst, Matthias Wessling:
Reminding Forgetful Organic Neuromorphic Device Networks. - Martin Cerný:
Approximations of solution concepts of cooperative games. - Frédéric Cérou, Sofiane Martel, Mathias Rousset:
Fluctuations of Rare Event Simulation with Monte Carlo Splitting in the Small Noise Asymptotics. - Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song, Yanhua Song, Xinzhen Zhang:
Optimal Sizing and Pricing of Renewable Power to Ammonia Systems Considering the Limited Flexibility of Ammonia Synthesis. - Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si:
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. - Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sangyoun Lee:
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition. - Mingze Sun, Haoxiang Wang, Wei Yao, Jiawang Liu:
AuE-IPA: An AU Engagement Based Infant Pain Assessment Method. - Giuseppe Russo Latona, Manoel Horta Ribeiro, Giona Casiraghi, Luca Verginer:
Understanding Online Migration Decisions Following the Banning of Radical Communities. - Christian Birchler, Sajad Khatiri, Bill Bosshard, Alessio Gambi, Sebastiano Panichella:
Machine Learning-based Test Selection for Simulation-based Testing of Self-driving Cars Software. - Chenle Yu, Sara Royuela, Eduardo Quiñones:
Taskgraph: A Low Contention OpenMP Tasking Framework. - Frieder Loch, Gennadiy D. Koltun, Victoria Karaseva, Dorothea Pantförder, Birgit Vogel-Heuser:
Model-based training of manual procedures in automated production systems. - Yongkweon Jeon, Chungman Lee, Ho-Young Kim:
Genie: Show Me the Data for Quantization. - Abhilash Hota, Jürgen Schönwälder:
A Bayesian Model Combination-based approach to Active Malware Analysis. - Ramiz Mammadli, Huma Bilgin, Ali Can Karaca:
Music Recommendation System based on Emotion, Age and Ethnicity. - Otto Zell, Joel Pålsson, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson:
Image-Based Fire Detection in Industrial Environments with YOLOv4. - Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Sihem Mesnager, Stjepan Picek:
On the Evolution of Boomerang Uniformity in Cryptographic S-boxes. - August Baaz, Yonan Yonan, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson:
Synthetic Data for Object Classification in Industrial Applications. - Jonathan Karlsson, Fredrik Strand, Josef Bigün, Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Felix Nilsson:
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. - Anders H. D. Andersen, Tobias K. S. Ritschel, Steen Hørsholt, Jakob Kjøbsted Huusom, John Bagterp Jørgensen:
Model-based control algorithms for the quadruple tank system: An experimental comparison. - Li Xu, Cuiling Fan, Sihem Mesnager, Rong Luo:
The Subfield Codes of Some Few-Weight Linear Codes. - Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du:
AUC Maximization for Low-Resource Named Entity Recognition. - Étienne André, Dylan Marinho, Laure Petrucci, Jaco van de Pol:
Efficient Convex Zone Merging in Parametric Timed Automata. - Julius Trebbien, Leonardo Rydin Gorjão, Aaron Praktiknjo, Benjamin Schäfer, Dirk Witthaut:
Understanding electricity prices beyond the merit order principle using explainable AI. - Hongxia Guo, Guanghui Hu, Mengjie Zhao:
Direct sampling method to inverse wave-number-dependent source problems (part I): determination of the support of a stationary source. - Muhammad Anwaar Khalid, Kanwal Zulfiqar, Ulfat Bashir, Areeba Shaheen, Rida Iqbal, Zarnab Rizwan, Ghina Rizwan, Muhammad Moazam Fraz:
CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023. - Anudeep Appe, Bhanu Poluparthi, Lakshmi Kasivajjula, Udai Mv, Sobha Bagadi, Punya Modi, Aditya Singh, Hemanth Gunupudi:
Machine Learning Framework: Competitive Intelligence and Key Drivers Identification of Market Share Trends Among Healthcare Facilities. - Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. - Zhongxiang Wei, Ye Tian, Wei Chen, Liyuan Gu, Xinming Zhang:
DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems. - Pavel Telegin, Anton Baranov, Boris M. Shabanov, Artem Tikhomirov:
Parallelism detection using graph labelling. - Matt Deitke, Rose Hendrix, Luca Weihs, Ali Farhadi, Kiana Ehsani, Aniruddha Kembhavi:
Phone2Proc: Bringing Robust Robots Into Our Chaotic World. - Takayoshi Yamaguchi, Dan Mikami, Seiji Matsumura, Naoki Saijo, Makio Kashino:
Pose Estimation for Human Wearing Loose-Fitting Clothes: Obtaining Ground Truth Posture Using HFR Camera and Blinking LEDs. - Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson:
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. - Alessandro Ruzzi, Xiangwei Shi, Xi Wang, Gengyan Li, Shalini De Mello, Hyung Jin Chang, Xucong Zhang, Otmar Hilliges:
GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields. - Cormac O'Malley, Patrick de Mars, Luis Badesa, Goran Strbac:
Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation. - Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim:
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. - Eva-Maria Neumann, Birgit Vogel-Heuser, Fabian Haben, Marius Krüger, Timotheus Wieringa:
Introduction of an Assistance System to Support Domain Experts in Programming Low-code to Leverage Industry 5.0. - Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem:
PIVOT: Prompting for Video Continual Learning. - Martin Macák, Matus Stovcik, Tomás Rebok, Mouzhi Ge, Bruno Rossi, Barbora Buhnova:
CopAS: A Big Data Forensic Analytics System. - Felipe Perez Stoppa, Ester Vidaña-Vila, Joan Navarro:
Album cover art image generation with Generative Adversarial Networks. - Henry Soldano, Guillaume Santini, Stella Zevio:
Closed pattern mining of interval data and distributional data. - Dan A. Allwood, Matthew O. A. Ellis, David Griffin, Thomas J. Hayward, Luca Manneschi, Mohammad F. KH Musameh, Simon O'Keefe, Susan Stepney, Charles Swindells, Martin A. Trefzer, Eleni Vasilaki, Guru Venkat, Ian T. Vidamour, Chester Wringe:
A perspective on physical reservoir computing with nanomagnetic devices. - Daniel Regulin, Thomas Aicher, Birgit Vogel-Heuser:
Improving transferability between different engineering stages in the development of automated material flow modules. - Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke:
Predictor networks and stop-grads provide implicit variance regularization in BYOL/SimSiam. - Rawshan Ara Mowri, Madhuri Siddula, Kaushik Roy:
A Comparative Performance Analysis of Explainable Machine Learning Models With And Without RFECV Feature Selection Technique Towards Ransomware Classification. - Yue Yu, Pavel Loskot:
Polynomial Distributions and Transformations. - Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee:
Deep Learning of Causal Structures in High Dimensions. - Sebastien Deschamps, Hichem Sahbi:
Frugal Reinforcement-based Active Learning. - Kaixuan Lu, Xiao Huang:
RCDT: Relational Remote Sensing Change Detection with Transformer. - Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein:
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. - Xinzhe Ni, Hao Wen, Yong Liu, Yatai Ji, Yujiu Yang:
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. - Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang:
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. - Robert Bocchino, Arne Nordmann, Allison Thackston, Andreas Angerer, Federico Ciccozzi, Ivano Malavolta, Andreas Wortmann:
Industry Best Practices in Robotics Software Engineering. - Maria Witsch, Birgit Vogel-Heuser:
Towards a Formal Specification Framework for Manufacturing Execution Systems. - Guozhen Rong, Yongjie Yang, Wenjun Li:
A Polynomial-Time Algorithm for MCS Partial Search Order on Chordal Graphs. - James Laird:
Revisiting Decidable Bounded Quantification, via Dinaturality. - Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou:
Co-training 2L Submodels for Visual Recognition. - Kai Ye, Hyeonjin Kim, Yi Hu, Ning Lu, Di Wu, P. J. Rehm:
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm. - Shi Wang, Daniel Tang, Luchen Zhang, Huilin Li, Ding Han:
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding. - Petr Kuznetsov, Yvonne-Anne Pignolet, Pavel Ponomarev, Andrei Tonkikh:
CryptoConcurrency: (Almost) Consensusless Asset Transfer with Shared Accounts. - Philipp Mayer, Michele Magno, Luca Benini:
Self-sustaining Ultra-wideband Positioning System for Event-driven Indoor Localization. - Xunzhu Tang, Tiezhu Sun, Rujie Zhu, Shi Wang:
CKG: Dynamic Representation Based on Context and Knowledge Graph. - Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Exploration with Gaussian Processes. - Oleh Melnyk:
Stochastic Amplitude Flow for phase retrieval, its convergence and doppelgängers. - Mor Ventura, Michael Toker:
TRBLLmaker - Transformer Reads Between Lyrics Lines maker. - Florian Grötschla, Joël Mathys, Roger Wattenhofer:
Learning Graph Algorithms With Recurrent Graph Neural Networks. - Selim Esedoglu, Jiajia Guo, David Li:
On Median Filters for Motion by Mean Curvature. - Christopher Akiki, Giada Pistilli, Margot Mieskes, Matthias Gallé, Thomas Wolf, Suzana Ilic, Yacine Jernite:
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model. - Yunzhi Zhang, Shangzhe Wu, Noah Snavely, Jiajun Wu:
Seeing a Rose in Five Thousand Ways. - Longfeng Wu, Yao Zhou, Dawei Zhou:
Towards High-Order Complementary Recommendation via Logical Reasoning Network. - Mohammed Brahimi, Bjoern Haefner, Tarun Yenamandra, Bastian Goldluecke, Daniel Cremers:
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. - Yasheng Sun, Hang Zhou, Kaisiyuan Wang, Qianyi Wu, Zhibin Hong, Jingtuo Liu, Errui Ding, Jingdong Wang, Ziwei Liu, Hideki Koike:
Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers. - Robert Stephany, Christopher J. Earls:
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data. - Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, Xiaodong Shi:
MOPRD: A multidisciplinary open peer review dataset. - Hongtao Zhong, Zijie Zheng, Kai Ni, Xiao Gong, Huazhong Yang, Xueqing Li:
Eliminating Leakage in Volatile Memory with Anti-Ferroelectric Transistors. - Dragos Gorduza, Xiaowen Dong, Stefan Zohren:
Understanding stock market instability via graph auto-encoders. - Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang:
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation. - Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu:
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners. - Nam Anh Dinh, Haochen Wang, Greg Shakhnarovich, Rana Hanocka:
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing. - Yihan Wu, Aleksandar Bojchevski, Heng Huang:
Adversarial Weight Perturbation Improves Generalization in Graph Neural Network. - Pedro F. Da Costa, Jessica Dafflon, Sergio Leonardo Mendes, João Ricardo Sato, M. Jorge Cardoso, Robert Leech, Emily J. H. Jones, Walter Hugo Lopez Pinaya:
Transformer-based normative modelling for anomaly detection of early schizophrenia. - Lin Li, Michael W. Spratling:
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization. - Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim:
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. - Philipp Hacker, Johann Cordes, Janina Rochon:
Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond. - Oisín Robinson:
An Implementation of the Extended Tower Number Field Sieve using 4d Sieving in a Box and a Record Computation in Fp4. - Anni Tang, Tianyu He, Xu Tan, Jun Ling, Runnan Li, Sheng Zhao, Li Song, Jiang Bian:
Memories are One-to-Many Mapping Alleviators in Talking Face Generation. - Gunduz Vehbi Demirci, Aparajita Haldar, Hakan Ferhatosmanoglu:
Scalable Graph Convolutional Network Training on Distributed-Memory Systems. - Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas:
LADIS: Language Disentanglement for 3D Shape Editing. - Samuel B. Hopkins, Gautam Kamath, Mahbod Majid, Shyam Narayanan:
Robustness Implies Privacy in Statistical Estimation. - Alona Zharova, Hee-Eun Lee:
Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey. - Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink:
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall. - Haiyi Mao, Jason Xiaotian Dou:
Decomposable Sparse Tensor on Tensor Regression. - Tirth Patel, Niyatiben Salot, Vrusha Parikh:
A systematic literature review on Security of Unmanned Aerial Vehicle Systems. - Rui Pereira, Gordana Rakic:
ICT4S2022 - Demonstrations and Posters Track Proceedings. - Damiano Perri, Paolo Sylos Labini, Osvaldo Gervasi, Sergio Tasso, Flavio Vella:
Towards a learning-based performance modeling for accelerating Deep Neural Networks. - Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. - Lucas Bex, Furkan Turan, Michiel Van Beirendonck, Ingrid Verbauwhede:
Mining CryptoNight-Haven on the Varium C1100 Blockchain Accelerator Card. - Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang:
SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model. - Shreyasvi Natraj, Malhar Bhide, Nathan Yap, Meng Liu, Agrima Seth, Jonathan Berman, Christin Glorioso:
COVID-19 Activity Risk Calculator as a Gamified Public Health Intervention Tool. - Edward C. Mitchell, Brittany Story, David L. Boothe, Piotr J. Franaszczuk, Vasileios Maroulas:
A Topological Deep Learning Framework for Neural Spike Decoding. - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. - Jay Bhanushali, Praneeth Chakravarthula, Manivannan Muniyandi:
OmniHorizon: In-the-Wild Outdoors Depth and Normal Estimation from Synthetic Omnidirectional Dataset. - Fatemeh Kalantari, Jian Shi, Harish S. Krishnamoorthy:
Simulating the Power Electronics-Dominated Grid using Schwarz-Schur Complement based Hybrid Domain Decomposition Algorithm. - Shumo Cui, Shengrong Ding, Kailiang Wu:
On Optimal Cell Average Decomposition for High-Order Bound-Preserving Schemes of Hyperbolic Conservation Laws. - Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. - Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby:
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. - Sergi D. Bray, Shane D. Johnson, Bennett Kleinberg:
Testing Human Ability To Detect Deepfake Images of Human Faces. - Kaan Aksit, Yuta Itoh:
HoloBeam: Paper-Thin Near-Eye Displays. - Liam Magee, Vanicka Arora, Luke Munn:
Structured Like a Language Model: Analysing AI as an Automated Subject. - Asma Bensalah, Jialuo Chen, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós, Miguel A. Ferrer:
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches. - Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte, Jialuo Chen, Miguel A. Ferrer, Andreas Fischer, Josep Lladós, Cristina Martín, Eloy Opisso, Réjean Plamondon, Anna Scius-Bertrand, Josep María Tormos:
The RPM3D project: 3D Kinematics for Remote Patient Monitoring. - Zijin Wang, Ou Zheng, Liangding Li, Mohamed A. Abdel-Aty, Carolina Cruz-Neira, Zubayer Islam:
Towards Next Generation of Pedestrian and Connected Vehicle In-the-loop Research: A Digital Twin Simulation Framework. - Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier:
Plug-and-Play Recipe Generation with Content Planning. - Chirag Rao, Eytan H. Modiano:
Age of Broadcast and Collection in Spatially Distributed Wireless Networks. - Robert Clausecker, Daniel Lemire:
Transcoding Unicode Characters with AVX-512 Instructions. - Harry Virani, Manthan Kyada:
A Systematic Literature Review on Smart Contracts Security. - Jacek Kibilda, Nurul Huda Mahmood, André Gomes, Matti Latva-aho, Luiz A. DaSilva:
Reconfigurable Intelligent Surfaces: The New Frontier of Next G Security. - Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. - Neha Sunil, Shaoxiong Wang, Yu She, Edward H. Adelson, Alberto Rodriguez:
Visuotactile Affordances for Cloth Manipulation with Local Control. - Sen Yang, Fan Zhang, Ken Huang, Xi Chen, Youwei Yang, Feng Zhu:
SoK: MEV Countermeasures: Theory and Practice. - Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa:
Automatically Generating CS Learning Materials with Large Language Models. - Yuri I. Manin, Matilde Marcolli:
Computability questions in the sphere packing problem. - Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang:
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. - Zhaoliang Chen, Lele Fu, Shunxin Xiao, Shiping Wang, Claudia Plant, Wenzhong Guo:
Multi-view Graph Convolutional Networks with Differentiable Node Selection. - Meisam Kabiri, Claudio Cimarelli, Hriday Bavle, José Luis Sánchez-López, Holger Voos:
A Review of Radio Frequency Based Localization for Aerial and Ground Robots with 5G Future Perspectives. - James Jackaman, Scott P. MacLachlan:
Preconditioned Krylov solvers for structure-preserving discretisations. - Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela:
Measuring Data. - Hyekang Kevin Joo, Khoa Vo, Kashu Yamazaki, Ngan Le:
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. - Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu:
Local Neighborhood Features for 3D Classification. - Jorge Cayama, Carlota M. Cuesta, Francisco de la Hoz, Carlos J. García-Cervera:
A fast convolution method for the fractional Laplacian in R. - Christine Herlihy, John P. Dickerson:
Networked Restless Bandits with Positive Externalities. - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Multi-task Learning for Personal Health Mention Detection on Social Media. - Yizhen Zhong, Jiajie Xiao, Thomas Vetterli, Mahan Matin, Ellen Loo, Jimmy Lin, Richard Bourgon, Ofer Shapira:
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning. - Ege Erdil, Tamay Besiroglu:
Algorithmic progress in computer vision. - Andrew Zheng, Sriram S. K. S. Narayanan:
Optimal Control for Quadruped Locomotion using LTV MPC. - Yi Ding, Aijia Gao, Thibaud Ryden, Kaushik Mitra, Sukumar Kalmanje, Yanai Golany, Michael Carbin, Henry Hoffmann:
Acela: Predictable Datacenter-level Maintenance Job Scheduling. - Nicolas Nytko, Ali Taghibakhshi, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matt West:
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation. - Darshan Harsora, Khushalkumar Khoyani:
A systematic literature review of cyberwarfare and state-sponsored hacking teams. - Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. - Alona Zharova, Laura Löschmann:
Activity-Based Recommendations for Demand Response in Smart Sustainable Buildings. - Lianke Qin, Rajesh Jayaram, Elaine Shi, Zhao Song, Danyang Zhuo, Shumo Chu:
Adore: Differentially Oblivious Relational Database Operators. - Cheng Wang, Carolin Lawrence, Mathias Niepert:
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. - Jia-Rui Lin, Minghui Wu:
Exploiting the Power of Human-Robot Collaboration: Coupling and Scale Effects in Bricklaying. - Annalisa Buffa, Ondine Chanon, Rafael Vázquez Hernández:
Adaptive analysis-aware defeaturing. - Emaad Manzoor, Jordan Tong, Sriniketh Vijayaraghavan, Rui Li:
Expanding Knowledge Graphs with Humans in the Loop. - Alexandre Larouche, Audrey Durand, Richard Khoury, Caroline Sirois:
Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy. - Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr:
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. - Bin Li, Yixuan Weng, Qiya Song, Hanjun Deng:
Artificial Text Detection with Multiple Training Strategies. - Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi:
Uniform Masking Prevails in Vision-Language Pretraining. - Ankit Kumar, Max von Hippel, Pete Manolios, Cristina Nita-Rotaru:
Formal Model-Driven Analysis of Resilience of GossipSub to Attacks from Misbehaving Peers. - Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. - Wataru Hashimoto, Kazumune Hashimoto, Masako Kishida, Shigemasa Takai:
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks. - Sidong Feng, Mulong Xie, Chunyang Chen:
Efficiency Matters: Speeding Up Automated Testing with GUI Rendering Inference. - Rahul Prabhu, Amit Verma, Meera Sitharam:
Parallel Exploration of Directed Acyclic Graphs using the Actor Model. - Thilo Hagendorff, Sarah Fabi, Michal Kosinski:
Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5. - Khoi P. N. Nguyen, Raghuram Ramanujan:
Lookahead Pathology in Monte-Carlo Tree Search. - Seulip Lee, Lin Mu:
A low-cost, parameter-free, and pressure-robust enriched Galerkin method for the Stokes equations. - Yizhou Zhao, Qiaozi Gao, Liang Qiu, Govind Thattai, Gaurav S. Sukhatme:
OpenD: A Benchmark for Language-Driven Door and Drawer Opening. - Jiayi Su, Xingbin Tu, Fengzhong Qu, Yan Wei:
Information-Preserved Blending Method for Forward-Looking Sonar Mosaicing in Non-Ideal System Configuration. - Zhe Ye, Ujval Misra, Dawn Song:
Specular: Towards Trust-minimized Blockchain Execution Scalability with EVM-native Fraud Proofs. - Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Xuan Gong, Liangchen Song, Meng Zheng, Benjamin Planche, Terrence Chen, Junsong Yuan, David S. Doermann, Ziyan Wu:
Progressive Multi-view Human Mesh Recovery with Self-Supervision. - Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Lu Bai, Lixin Cui, Edwin R. Hancock:
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. - Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu:
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. - Héléna Shourick, Damien Tromeur-Dervout, Laurent Chédot:
Co-simulation domain decomposition algorithm for hybrid EMT-Dynamic Phasor modeling. - Dario Izzo, Alexander Hadjiivanov, Dominik Dold, Gabriele Meoni, Emmanuel Blazquez:
Neuromorphic Computing and Sensing in Space. - Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu:
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. - Alexander Dunn, John Dagdelen, Nicholas Walker, Sanghoon Lee, Andrew S. Rosen, Gerbrand Ceder, Kristin A. Persson, Anubhav Jain:
Structured information extraction from complex scientific text with fine-tuned large language models. - Jiamin Wang, Liqi Zhou, Dong Zhang, Jian Liu, Yuanshi Zheng:
Protocol selection for second-order consensus against disturbance. - Tanmay Vilas Samak, Chinmay Vilas Samak, Sivanathan Kandhasamy, Venkat Krovi, Ming Xie:
AutoDRIVE: A Comprehensive, Flexible and Integrated Cyber-Physical Ecosystem for Enhancing Autonomous Driving Research and Education. - Sébastien Bardin, Guillaume Girol:
A Quantitative Flavour of Robust Reachability. - Lei Ding, Jing Zhang, Kai Zhang, Haitao Guo, Bing Liu, Lorenzo Bruzzone:
Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images. - Mario Cacciato, Giuseppe Aiello, Francesco Gennaro, Salvatore Mita, Dario Patti, Giacomo Scelba, Arjun Sujeeth:
Power Loss Modelling of GaN HEMT based 3L ANPC Three Phase Inverter for different PWM Techniques. - Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics. - Ruiqing Ding, Xiao Han, Leye Wang:
A Unified Knowledge Graph Service for Developing Domain Language Models in AI Software. - Lele Zheng, Bowen Deng, Tao Zhang, Yulong Shen, Yang Cao:
Graph Analysis in Decentralized Online Social Networks with Fine-Grained Privacy Protection. - Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao:
MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base. - Martina Cinquini, Riccardo Guidotti:
CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. - Oona Rainio, Mohamed M. S. Nasser, Matti Vuorinen, Riku Klén:
Image augmentation with conformal mappings for a convolutional neural network. - Zubair Akhter, MS Rahman, Mohamed Abou-Khousa:
High Resolution Near Field Microwave Imaging using Loaded Circular Aperture Probe. - Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Yian Zhao, Jian Zhang, Guoli Song, Jie Chen:
Position Embedding Needs an Independent Layer Normalization. - Shaoqing Xu, Dingfu Zhou, Jin Fang, Pengcheng Wang, Liangjun Zhang:
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection. - Ramin Atefinia, Mahmood Ahmadi:
Performance Evaluation of Apache Spark MLlib Algorithms on an Intrusion Detection Dataset. - Haoxiang Ma, Di Huang:
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes. - Rami Aly, Andreas Vlachos:
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification. - Ricardo José López Dawn, Anastasios Giovanidis:
Optimal Influencer Marketing Campaign Under Budget Constraints Using Frank-Wolfe. - Abhinav Dahiya, Alexander Mois Aroyo, Kerstin Dautenhahn, Stephen L. Smith:
A Survey of Multi-Agent Human-Robot Interaction Systems. - Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu:
A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network. - Shengshi Yao, Zixuan Xiao, Sixian Wang, Jincheng Dai, Kai Niu, Ping Zhang:
Variational Speech Waveform Compression to Catalyze Semantic Communications. - Thomas Schnürer, Malte Probst, Horst-Michael Gross:
Relate to Predict: Towards Task-Independent Knowledge Representations for Reinforcement Learning. - Zhanwei Du, Xiao Zhang, Lin Wang, Sidan Yao, Yuan Bai, Qi Tan, Xiaoke Xu, Sen Pei, Jingyi Xiao, Tim K. Tsang, Qiuyan Liao, Eric H. Y. Lau, Peng Wu, Chao Gao, Benjamin J. Cowling:
Characterizing human collective behaviours of COVID-19 in Hong Kong. - Sabah Al-Fedaghi:
Conceptual Modeling Founded on the Stoic Ontology: Reality with Dynamic Existence and Static Subsistence. - Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng:
Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning. - Ken R. Duffy, Muriel Médard:
Confident decoding with GRAND. - Zichen Wang:
A systematic literature review on cyber threat hunting. - Guangsheng Yu, Qin Wang, Tingting Bi, Shiping Chen, Sherry Xu:
Leveraging Architectural Approaches in Web3 Applications - A DAO Perspective Focused. - Lior Talker, Aviad Cohen, Erez Yosef, Alexandra Dana, Michael Dinerstein:
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation. - Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao:
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation. - Sakshi Chhabra, Ashutosh Kumar Singh:
A smart resource management mechanism with trust access control for cloud computing environment. - Suyi Jiang, Haoran Jiang, Ziyu Wang, Haimin Luo, Wenzheng Chen, Lan Xu:
HumanGen: Generating Human Radiance Fields with Explicit Priors. - Michael L. Nelson:
Twitter DM Videos Are Accessible to Unauthenticated Users. - Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang:
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. - Ruixuan Tang, Hanjie Chen, Yangfeng Ji:
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification. - Zhuoyang Zhang, Yuhao Dong, Yunze Liu, Li Yi:
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning. - Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-agent Reinforcement Learning. - Alexander Kolpakov, Michael Werman:
An approach to robust ICP initialization. - Devayani Hebbar, Vandana S. Jagtap:
A Comparison of Audio Preprocessing Techniques and Deep Learning Algorithms for Raga Recognition. - Dennis Gross, Thiago D. Simão, Nils Jansen, Guillermo A. Pérez:
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking. - Haichen Huang, Jiarui Fang, Hongxin Liu, Shenggui Li, Yang You:
Elixir: Train a Large Language Model on a Small GPU Cluster. - Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
Scaling pattern mining through non-overlapping variable partitioning. - Ruohao Wang, Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chun-Mei Feng, Lei Zhang, Wangmeng Zuo:
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution. - Sergio Gómez, Lorenzo Mascotto, Andrea Moiola, Ilaria Perugia:
Space-time virtual elements for the heat equation. - Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst:
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. - Angad Pal Singh, Ankit Sharma:
A systematic literature review on insider threats. - Abhinav Rao, Thi-Nga Ho, Eng Siong Chng:
Punctuation Restoration for Singaporean Spoken Languages: English, Malay, and Mandarin. - Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga:
Efficient and Generic Algorithms for Quantitative Attack Tree Analysis. - Eric Sihite, Alireza Ramezani:
Wake-Based Locomotion Gait Design for Aerobat. - Alireza Ramezani, Eric Sihite:
Aerobat, A Bioinspired Drone to Test High-DOF Actuation and Embodied Aerial Locomotion. - Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. - Yue Feng, Gerasimos Lampouras, Ignacio Iacobacci:
Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access. - Dushyantha A. Basnayaka:
Mediumband Wireless Communication. - Seong Hun Lee, Javier Civera:
What's Wrong with the Absolute Trajectory Error? - Clare Lyle:
Generalization Through the Lens of Learning Dynamics. - Giovanni Apruzzese, V. S. Subrahmanian:
Mitigating Adversarial Gray-Box Attacks Against Phishing Detectors. - Tomás Kolárik, Stefan Ratschan:
Railway Scheduling Using Boolean Satisfiability Modulo Simulations. - Fahim Hasan Khan, Mohammed Eunus Ali:
A Hierarchical Approach for Investigating Social Features of a City from Mobile Phone Call Detail Records. - Xiaogang Xu, Hengshuang Zhao, Philip H. S. Torr, Jiaya Jia:
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments. - Bo Ding, Jinglei Huang, Junpeng Wang, Qi Xu, Song Chen, Yi Kang:
Task modules Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems Based on Modern Heterogeneous FPGAs. - Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. - Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho:
How to Backdoor Diffusion Models? - Minghui Sun, Smitha Gautham, Carl R. Elks, Cody H. Fleming:
Characterizing the Identity of Model-based Safety Assessment: A Systematic Analysis. - Mohammad Pasande, Reshad Hosseini, Babak Nadjar Araabi:
Stochastic First-Order Learning for Large-Scale Flexibly Tied Gaussian Mixture Model. - Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
DiffAlign : Few-shot learning using diffusion based synthesis and alignment. - Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan, Pratyush Kumar:
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages. - Junwei Su:
ABC: Aggregation before Communication, a Communication Reduction Framework for Distributed Graph Neural Network Training and Effective Partition. - Fahim Hasan Khan, Akila de Silva, Gregory Dusek, James Davis, Alex Pang:
Authoring Platform for Mobile Citizen Science Apps with Client-side ML. - Kebing Jin, Yingkai Xiao, Hankz Hankui Zhuo, Renyong Ma:
A Hierarchical Temporal Planning-Based Approach for Dynamic Hoist Scheduling Problems. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt, Petr Knoth, Matteo Cancellieri:
Predicting article quality scores with machine learning: The UK Research Excellence Framework. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
In which fields are citations indicators of research quality? - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Are internationally co-authored journal articles better quality? The UK case 2014-2020. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Cristina I. Font Julián, Paul Wilson, Jonathan M. Levitt:
Is Research Funding Always Beneficial? A Cross-Disciplinary Analysis of UK Research 2014-20. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
In which fields do higher impact journals publish higher quality articles? - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Terms in journal articles associating with high quality: Can qualitative research be world-leading? - Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. - Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu:
Learning What You Should Learn. - Johannes Lederer:
Statistical guarantees for sparse deep learning. - Haodi Wang, Thang Hoang:
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline. - Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer:
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles. - Bhaskar Pratim Mukhoty, Debojyoti Dey, Purushottam Kar:
Corruption-tolerant Algorithms for Generalized Linear Models. - Athul M. Mathew, Thariq Khalid:
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention. - Deniz Agaoglu Çagirici, Onur Çagirici, Jan Derbisz, Tim A. Hartmann, Petr Hlinený, Jan Kratochvíl, Tomasz Krawczyk, Peter Zeman:
Beyond circular-arc graphs - recognizing lollipop graphs and medusa graphs. - Justin Chan, Antonio Glenn, Malek Itani, Lisa R. Mancl, Emily Gallagher, Randall A. Bly, Shwetak N. Patel, Shyamnath Gollakota:
Wireless earbuds for low-cost hearing screening. - Zunchen Huang, Shengjian Guo, Meng Wu, Chao Wang:
Understanding Concurrency Vulnerabilities in Linux Kernel. - Yi Ju, Xinyuan Ju, Hui Zhang, Bin Cao, Bin Liu, Yingxin Zhu:
Personalized local heating neutralizing individual, spatial and temporal thermo-physiological variances in extreme cold environments. - Shanaka Anuradha Samarakoon:
Bypassing Content-based internet packages with an SSL/TLS Tunnel, SNI Spoofing, and DNS spoofing. - Deepika Saxena, Ashutosh Kumar Singh:
OSC-MC: Online Secure Communication Model for Cloud Environment. - Luca Padovani:
On the Fair Termination of Client-Server Sessions. - (Withdrawn) Cryptanalysis and designing chaos-based irreversible and parallel key expansion module over Galois field.
- Fanglei Xue, Qiangchang Wang, Zichang Tan, Zhongsong Ma, Guodong Guo:
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition. - Farhad Pakdaman, Moncef Gabbouj:
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU. - Maxwell Pirtle, Luka Jovanovic, Gene Cooperman:
McMini: A Programmable DPOR-based Model Checker for Multithreaded Programs. - Alejandro I. Maass, Dragan Nesic, Romain Postoyan, Vineeth S. Varma, Samson Lasaulce:
Transmit power policies for stochastic stabilisation of multi-link wireless networked control systems. - Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang:
SEPT: Towards Scalable and Efficient Visual Pre-Training. - Liam Yemm:
A new approach to handle curved meshes in the Hybrid High-Order method. - Xikun Liu, Weisong Wen, Feng Huang, Han Gao, Yongliang Wang, Li-Ta Hsu:
3D LiDAR Aided GNSS NLOS Mitigation for Reliable GNSS-RTK Positioning in Urban Canyons. - Zhiyuan Liu, Chunjie Cao, Jingzhang Sun:
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information. - Fethi Bougares, Salim Jouili:
End-to-End Speech Translation of Arabic to English Broadcast News. - Georg Nawratil:
Isometric deformable cones and cylinders carrying planar curves. - Zhiling Luo, Qiankun Shi, Sha Zhao, Wei Zhou, Haiqing Chen, Yuankai Ma, Haitao Leng:
AliCHI: A Large-scale Multi-modal Dataset and Automated Evaluation Tool for Human-like Dialogue Systems. - Jiarong Yang, Yuan Liu, Rahif Kassab:
Client Selection for Federated Bayesian Learning. - Maksim Siniukov, Dmitriy L. Kulikov, Dmitriy S. Vatolin:
Applicability limitations of differentiable full-reference image-quality. - Yuhan Suo, Senchun Chai, Runqi Chai, Zhong-Hua Pang, Yuanqing Xia, Guo-Ping Liu:
Security Defense of Large Scale Networks Under False Data Injection Attacks: An Attack Detection Scheduling Approach. - Danlei Hu, Ziquan Fang, Hanxi Fang, Tianyi Li, Chunhui Shen, Lu Chen, Yunjun Gao:
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories. - Wei Zhang, Zengwei Xiao, Hui Tao, Minghui Zhang, Xiaoling Xu, Qiegen Liu:
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction. - Shihao Wang, Xiaohui Jiang, Ying Li:
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection. - Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. - (Withdrawn) Mutimodal Ranking Optimization for Heterogeneous Face Re-identification.
- Hongyan Li, Song Jiang, Wenjun Sun, Liwei Xu, Guanyu Zhou:
A model-data asymptotic-preserving neural network method based on micro-macro decomposition for gray radiative transfer equations. - Hongkuan Zhang, Edward Whittaker, Ikuo Kitagishi:
Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images. - Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. - Umberto Martínez-Peñas:
Doubly and triply extended MSRD codes. - Zoltán Fülöp, Heiko Vogler:
Weighted Tree Automata - May it be a little more? - Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal:
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. - Zengyang Li, Yilin Peng, Peng Liang, Apostolos Ampatzoglou, Ran Mo, Hui Liu, Xiaoxiao Qi:
Technical Debt Management in OSS Projects: An Empirical Study on GitHub. - Nishith Gajjar, Keyur Rathod, Khushali Jani:
A systematic literature review on Robotic Process Automation security. - Avijit Mitra, Richeek Pradhan, Rachel D. Melamed, Kun Chen, David C. Hoaglin, Katherine L. Tucker, Joel I. Reisman, Zhichao Yang, Weisong Liu, Jack Tsai, Hong Yu:
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans. - Devansh Saxena:
Designing Human-Centered Algorithms for the Public Sector: A Case Study of the U.S. Child-Welfare System. - (Withdrawn) Provably High-Quality Solutions for the Liquid Medical Oxygen Allocation Problem.
- Ankit Kumar, Priya Shukla, Vandana Kushwaha, Gora Chand Nandi:
Context-aware 6D Pose Estimation of Known Objects using RGB-D data. - Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. - Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann:
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. - Li Lin, Linkai Peng, Huaqing He, Pujin Cheng, Jiewei Wu, Kenneth K. Y. Wong, Xiaoying Tang:
YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation. - Yuan Lan, Zhen Li, Jie Sun, Yang Xiang:
DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting. - Altun Rzayev, Vahid Tavakol Aghaei:
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks. - Kexing Ying, Rémy Degenne:
A Formalization of Doob's Martingale Convergence Theorems in mathlib. - Peyman Baghershahi, Reshad Hosseini, Hadi Moradi:
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition. - Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein:
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. - Yueyu Hu, Yao Wang:
Learning Neural Volumetric Field for Point Cloud Geometry Compression. - Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. - Yuxuan Liu, Scott G. McCalla, Hayden Schaeffer:
Random Feature Models for Learning Interacting Dynamical Systems. - F. K. Dankar, M. K. Ibrahim:
A new PCA-based utility measure for synthetic data evaluation. - Mathias Gehrig, Davide Scaramuzza:
Recurrent Vision Transformers for Object Detection with Event Cameras. - Yue Song, Nicu Sebe, Wei Wang:
Orthogonal SVD Covariance Conditioning and Latent Disentanglement. - Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois C. Knoll:
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals. - Zheng Wang, Juncheng B. Li, Shuhui Qu, Florian Metze, Emma Strubell:
Error-aware Quantization through Noise Tempering. - Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. - Parvez Mahbub, Naz Zarreen Oishie, S. M. Rafizul Haque:
Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method. - Mustafa Taha Koçyigit, Timothy M. Hospedales, Hakan Bilen:
Accelerating Self-Supervised Learning via Efficient Training Strategies. - Abhinav Kumar Thakur, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud, Zhivar Sourati, Luca Luceri, Riccardo Tommasini:
Multimodal and Explainable Internet Meme Classification. - Aravinda Kolla, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud:
A Study of Slang Representation Methods. - David Demicco, Matthew Cole, Gokturk Yuksek, Ravi Theja Gollapudi, Aravind Prakash, Kanad Ghose, Zerksis Umrigar:
Generic Tagging for RISC-V Binaries. - Rares-Darius Buhai, Pravesh K. Kothari, David Steurer:
Algorithms approaching the threshold for semi-random planted clique. - Nicole L. Robinson, Jason Williams, David Howard, Brendan Tidd, Fletcher Talbot, Brett Wood, Alex Pitt, Navinda Kottege, Dana Kulic:
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. - Chih-Hui Ho, Nuno Vasconcelos:
DISCO: Adversarial Defense with Local Implicit Functions. - Sangwon Kim, Dasom Ahn, ByoungChul Ko:
Cross-Modal Learning with 3D Deformable Attention for Action Recognition. - Ekaterina Miller, Georgios Michail Makrakis, Kurt A. Vedros, Constantinos Kolias, Craig Rieger, Daniel Barbará:
Detecting Code Injections in Noisy Environments Through EM Signal Analysis and SVD Denoising. - Yu Zhou, Weilin Zhan, Zi Li, Tingting Han, Taolue Chen, Harald C. Gall:
DRIVE: Dockerfile Rule Mining and Violation Detection. - Qiqi Duan, Guochen Zhou, Chang Shao, Zhuowei Wang, Mingyang Feng, Yijun Yang, Qi Zhao, Yuhui Shi:
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization. - Qin Li, Xuan Yang, Yong Wang, Yuankai Wu, Deqiang He:
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition. - Yixin Huang, Jiliang Zhang, Jie Zhang:
Wireless Channel Delay Spread Performance Evaluation of a Building Layout. - Dongju Kang, Doeun Kang, Sumin Hwangbo, Haider Niaz, Won Bo Lee, J. Jay Liu, Jonggeol Na:
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning. - Changcun Huang:
On an Interpretation of ResNets via Solution Constructions. - Junke Wang, Zhenxin Li, Chao Zhang, Jingjing Chen, Zuxuan Wu, Larry S. Davis, Yu-Gang Jiang:
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection. - Mohammed Y. Abdelsadek, Aizaz U. Chaudhry, Tasneem Darwish, Eylem Erdogan, Günes Karabulut-Kurt, Pablo G. Madoery, Olfa Ben Yahia, Halim Yanikomeroglu:
Future Space Networks: Toward the Next Giant Leap for Humankind. - Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak:
Development of Personalized Sleep Induction System based on Mental States. - Meghal Gupta, Venkatesan Guruswami, Rachel Yun Zhang:
Binary Error-Correcting Codes with Minimal Noiseless Feedback. - Jiawei Mao, Honggu Zhou, Xuesong Yin, Yuanqi Chang, Binling Nie, Rui Xu:
Masked autoencoders are effective solution to transformer data-hungry. - Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration. - Nabeel Hingun, Chawin Sitawarin, Jerry Li, David A. Wagner:
REAP: A Large-Scale Realistic Adversarial Patch Benchmark. - Dinusha Vatsalan, Dimitrios Karapiperis, Vassilios S. Verykios:
Privacy-Preserving Record Linkage. - Connor H. Ligeikis, Jeffrey T. Scruggs:
Multi-Objective Vector Control of a Three-Phase Vibratory Energy Harvester. - Tianliang Zhang, Zhenjun Han, Huijuan Xu, Baochang Zhang, Qixiang Ye:
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection. - Hong-Yan Zhang, Yu Zhou, Yu-Tao Li, Fu-Yun Li, Yong-Hui Jiang:
Correct and Alternative Numerical Algorithms for the Complete Elliptic Integral of the First Kind in MATLAB and Mathematica. - Tran Thi Hong Hanh, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak:
Ensembling Transformers for Cross-domain Automatic Term Extraction. - Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. - Linmei Hu, Ziwang Zhao, Xinkai Ge, Xuemeng Song, Liqiang Nie:
MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. - Yao Xu, Gene Cooperman:
Collective Vector Clocks: Low-Overhead Transparent Checkpointing for MPI. - Rahul Tangsali, Aabha Pingle, Aditya Vyawahare, Isha Joshi, Raviraj Joshi:
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages. - Kangcheng Liu:
An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds. - Angzhi Fan, Benjamin Ticknor, Yali Amit:
Detection Selection Algorithm: A Likelihood based Optimization Method to Perform Post Processing for Object Detection. - Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. - Hui Wei, Zhixiang Wang, Xuemei Jia, Yinqiang Zheng, Hao Tang, Shin'ichi Satoh, Zheng Wang:
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design. - Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar:
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. - Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. - Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao:
Integrated optimization of train timetables rescheduling and response vehicles on a disrupted metro line. - Qinyu Wu, Jonathan Yu-Meng Li, Tiantian Mao:
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization. - Tianliang Zhang, Qixiang Ye, Baochang Zhang, Jianzhuang Liu, Xiaopeng Zhang, Qi Tian:
Feature Calibration Network for Occluded Pedestrian Detection. - Sijia Xia, Duo Qiu, Xiongjun Zhang:
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment. - Evgeny Frolov, Ivan V. Oseledets:
Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. - Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang:
HDNet: A Hierarchically Decoupled Network for Crowd Counting. - Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu:
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. - Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks. - Jan Østergaard, Payam Boubakani:
Stimuli Dependent Synergy and Redundancy Dominated Causal Effects in Time Series. - Daitao Xing, Jinglin Shen, Chiuman Ho, Anthony Tzes:
ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation. - Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li:
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. - Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota:
Automated Variable Renaming: Are We There Yet? - Yiwei Qin, Graham Neubig, Pengfei Liu:
Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization. - Jiyao Li, Vicki H. Allan:
Where to go: Agent Guidance with Deep Reinforcement Learning in A City-Scale Online Ride-Hailing Service. - Kangcheng Liu, Huosen Ou:
A Light-Weight LiDAR-Inertial SLAM System with Loop Closing. - Mingzhe Zhu, Wanyue Xu, Wei Li, Zhongzhi Zhang, Haibin Kan:
Hitting Times of Random Walks on Edge Corona Product Graphs. - Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. - Vihtori Mäntylä, Bettina Lehtelä, Fabian Fagerholm:
The Viability of Continuous Experimentation in Early-Stage Software Startups: A Descriptive Multiple-Case Study. - Chengyu Zheng, Ning Song, Ruoyu Zhang, Lei Huang, Zhiqiang Wei, Jie Nie:
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing. - Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun, Walid Saad, Zhu Han, Choong Seon Hong:
Satellite-based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach. - Zhiwei Lin, Yongtao Wang:
BEV-MAE: Bird's Eye View Masked Autoencoders for Outdoor Point Cloud Pre-training. - Mingzhe Zhu, Wanyue Xu, Zhongzhi Zhang, Haibin Kan, Guanrong Chen:
Resistance Distances in Simplicial Networks. - Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. - Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer, Christoph M. Friedrich:
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. - Sunjae Yoon, Eunseop Yoon, Hee Suk Yoon, Junyeong Kim, Chang D. Yoo:
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue. - Jonathan Grizou:
Interactive introduction to self-calibrating interfaces. - Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun:
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Zhi Lai, Mengjuan Liu, Yunzhu Pan, Dajiang Chen:
Multi-Dimensional Self Attention based Approach for Remaining Useful Life Estimation. - Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. - Alexander Kobelski, Arne-Jens Hempel, Murali Padmanabha, Luiz-Carlos Wille, Stefan Streif:
Process Optimization of Black Soldier Fly Egg Production via Model Based Control. - Samin Nili-Ahmadabadi, Maryam Haghifam, Vahid Shah-Mansouri, Sara Ershadmanesh:
Design and Evaluation of Crowd-sourcing Platforms Based on Users Confidence Judgments. - Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Instrumental Variables in Causal Inference and Machine Learning: A Survey. - Gunther Leobacher, Friedrich Pillichshammer, Adrian Ebert:
Tractability of L2-approximation and integration in weighted Hermite spaces of finite smoothness. - Daniel Frank, Decky Aspandi-Latif, Michael Muehlebach, Benjamin Unger, Steffen Staab:
Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees - Technical Report. - Ting Gao, Rodrigo Kappes Marques, Lei Yu:
GT-CausIn: a novel causal-based insight for traffic prediction. - Chao Hu, Shengxin Lai:
Multi-scale Feature Imitation for Unsupervised Anomaly Localization. - Jinbao Wang, Ke Lu, Jian Xue:
Markerless Body Motion Capturing for 3D Character Animation based on Multi-view Cameras. - Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. - Erik Burman, Janosch Preuß:
Unique continuation for the Lamé system using stabilized finite element methods. - Marten van Dijk, Phuong Ha Nguyen, Toan N. Nguyen, Lam M. Nguyen:
Generalizing DP-SGD with Shuffling and Batching Clipping. - Jingjing Xu, Maria Biryukov, Martin Theobald, Vinu Ellampallil Venugopal:
BigText-QA: Question Answering over a Large-Scale Hybrid Knowledge Graph. - Michael Ruderman:
Energy dissipation and hysteresis cycles in pre-sliding transients of kinetic friction. - Huawei Huang, Qinnan Zhang, Taotao Li, Qinglin Yang, Zhaokang Yin, Junhao Wu, Zehui Xiong, Jianming Zhu, Jiajing Wu, Zibin Zheng:
Economic Systems in Metaverse: Basics, State of the Art, and Challenges. - Junhui Zhang, Junjie Pan, Xiang Yin, Zejun Ma:
Direct Speech-to-speech Translation without Textual Annotation using Bottleneck Features. - Donghang Zhang, Lei Zhang:
Spectral Deferred Correction Method for Landau-Brazovskii Model with Convex Splitting Technique. - Sara Hahner, Felix Kerkhoff, Jochen Garcke:
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface Meshes. - Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe:
KonX: Cross-Resolution Image Quality Assessment. - Han Wang, Zhou Huang, Ganmin Yin, Yi Bao, Xiao Zhou, Yong Gao:
GWRBoost: A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships. - Marvin Becker, Philipp Caspers, Tom Hattendorf, Torsten Lilge, Sami Haddadin, Matthias Albrecht Müller:
Informed Circular Fields for Global Reactive Obstacle Avoidance of Robotic Manipulators. - Yakov Zinder, Bertrand M. T. Lin, Joanna Berlinska:
Minimum-weight partitioning of a set with associated subsets. - Pol Labarbarie, Adrien Chan-Hon-Tong, Stéphane Herbin, Milad Leyli-Abadi:
Carpet-bombing patch: attacking a deep network without usual requirements. - Simon Liu:
Wikipedia's Balancing Act: A Tool for Collective Intelligence or Mass Surveillance? - Yachao Li, Junhui Li, Jing Jiang, Shimin Tao, Hao Yang, Min Zhang:
P-Transformer: Towards Better Document-to-Document Neural Machine Translation. - Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels, Marie-Francine Moens:
Optimizing ship detection efficiency in SAR images. - Fei Wang, Jun Cheng, Penglei Liu:
CbwLoss: Constrained Bidirectional Weighted Loss for Self-supervised Learning of Depth and Pose. - Amit Aflalo, Shai Bagon, Tamar Kashti, Yonina C. Eldar:
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering. - Taissir Y. Elganimi, Khaled M. Rabie, Galymzhan Nauryzbayev:
IRS-Assisted Millimeter-wave Massive MIMO with Transmit Antenna Selection for IoT Networks. - Qixin Yan, Chunle Guo, Jixin Zhao, Yuekun Dai, Chen Change Loy, Chongyi Li:
BeautyREC: Robust, Efficient, and Content-preserving Makeup Transfer. - Mubin Ul Haque, Isuru Dharmadasa, Zarrin Tasnim Sworna, Roshan Namal Rajapakse, Hussain Ahmad:
"I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data. - Leibo Liu, Óscar Pérez Concha, Anthony N. Nguyen, Vicki Bennett, Louisa Jorm:
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models. - Weihong Ren, Bowen Chen, Yuhang Shi, Weibo Jiang, Honghai Liu:
CountingMOT: Joint Counting, Detection and Re-Identification for Multiple Object Tracking. - Jakob Struye, Filip Lemic, Jeroen Famaey:
CoVRage: Millimeter-Wave Beamforming for Mobile Interactive Virtual Reality. - Alexandre Boulch, Corentin Sautier, Björn Michele, Gilles Puy, Renaud Marlet:
ALSO: Automotive Lidar Self-supervision by Occupancy estimation. - Marco Donatelli, Paola Ferrari, Silvia Gazzola:
Symmetrization Techniques in Image Deblurring. - Robin K. S. Hankin:
The free group in R. - Raghavendra Ramachandra, Hailin Li:
Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested Residual Network. - Haosu Zhou, Nan Li:
Image-based Artificial Intelligence empowered surrogate model and shape morpher for real-time blank shape optimisation in the hot stamping process. - Zhe Zheng, Bo-Rui Kang, Qi-Tian Yuan, Yu-Cheng Zhou, Xin-Zheng Lu, Jia-Rui Lin:
Text Mining-Based Patent Analysis for Automated Rule Checking in AEC. - Sterre Lutz:
Deontic Paradoxes in Library Lending Regulations: A Case Study in Flint. - Haibin He, Xinyuan Chen, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao, Yu Qiao:
Diff-Font: Diffusion Model for Robust One-Shot Font Generation. - Taeryung Lee, Gyeongsik Moon, Kyoung Mu Lee:
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels. - Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram:
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. - Shamil Ayupov, Nadezhda Chirkova:
Parameter-Efficient Finetuning of Transformers for Source Code. - Smaran Adarsh, Lukas Burgholzer, Tanmay Manjunath, Robert Wille:
SyReC Synthesizer: An MQT tool for synthesis of reversible circuits. - Nishant Jain, Pradeep Shenoy:
Learning on non-stationary data with re-weighting. - (Withdrawn) NFResNet: Multi-scale and U-shaped Networks for Deblurring.
- Renaud Vandeghen, Gilles Louppe, Marc Van Droogenbroeck:
Adaptive Self-Training for Object Detection. - Jiale Cheng, Nan Liu, Wei Kang:
On the Asymptotic Capacity of Information Theoretical Privacy-preserving Epidemiological Data Collection. - Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation. - Juliane Fischer, Birgit Vogel-Heuser, Heiko Schneider, Nikolai Langer, Markus Felger, Matthias Bengel:
Measuring the Overall Complexity of Graphical and Textual IEC 61131-3 Control Software. - Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. - So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang:
Object Goal Navigation with End-to-End Self-Supervision. - Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini:
LAMBRETTA: Learning to Rank for Twitter Soft Moderation. - Rafid Umayer Murshed, Sandip Kollol Dhruba, Md. Tawheedul Islam Bhuian, Mst. Rumi Akter:
Automated Level Crossing System: A Computer Vision Based Approach with Raspberry Pi Microcontroller. - Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny:
Hierarchical multimodal transformers for Multi-Page DocVQA. - Le-Anh Tran, Dong-Chul Park:
Encoder-Decoder Network with Guided Transmission Map: Architecture - Extended Abstract. - Yujia Lin, Liming Chen, Aftab Ali, Christopher Nugent, Ian Cleland, Rongyang Li, Dazhi Gao, Hang Wang, Yajie Wang, Huansheng Ning:
Human Digital Twin: A Survey. - Yiran Wang, Eric T. Chung, Shuyu Sun:
Physics-preserving IMPES based multiscale methods for immiscible two-phase flow in highly heterogeneous porous media. - Pasquale Claudio Africa, Simona Perotto, Carlo de Falco:
Scalable Recovery-based Adaptation on Quadtree Meshes for Advection-Diffusion-Reaction Problems. - Qihan Huang, Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song:
Is ProtoPNet Really Explainable? Evaluating and Improving the Interpretability of Prototypes. - Valentina Franzoni, Sergio Tasso, Simonetta Pallottelli, Damiano Perri:
Sharing Linkable Learning Objects with the use of Metadata and a Taxonomy Assistant for Categorization. - Marian Temprana Alonso, Xuyang Liu, Farhad Shirani, Hamidreza Aghasi:
Capacity Gains in MIMO Systems with Few-Bit ADCs Using Nonlinear Analog Operators. - Elias Kuiter, Gunter Saake:
A Survey and Comparison of Industrial and Academic Research on the Evolution of Software Product Lines. - Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. - Juliane Fischer, Christian Lieberoth-Leden, Johannes Fottner, Birgit Vogel-Heuser:
Design, Application and Evaluation of a Multi Agent System in the Logistics Domain. - Sebastian Ulewicz, Birgit Vogel-Heuser:
Industrially Applicable System Regression Test Prioritization in Production Automation. - Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang:
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding. - Francisco Segado-Boj, Juan Martin-Quevedo, Juan José Prieto-Gutierrez:
Jumping over the paywall: Strategies and motivations for scholarly piracy and other alternatives. - Achilleas Santi Seisa, Sumeet Gajanan Satpute, George Nikolakopoulos:
Comparison between Docker and Kubernetes based Edge Architectures for Enabling Remote Model Predictive Control for Aerial Robots. - Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan:
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement. - Hyojun Go, Yunsung Lee, Jin-Young Kim, Seunghyun Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi:
Towards Practical Plug-and-Play Diffusion Models. - Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu:
Federated NLP in Few-shot Scenarios. - Angeela Acharya, Siddhartha Sikdar, Sanmay Das, Huzefa Rangwala:
GenSyn: A Multi-stage Framework for Generating Synthetic Microdata using Macro Data Sources. - Tiezhu Sun, Kevin Allix, Kisub Kim, Xin Zhou, Dongsun Kim, David Lo, Tegawendé F. Bissyandé, Jacques Klein:
A Pre-Trained BERT Model for Android Applications. - Mohammad Hatami, Markus Leinonen, Marian Codreanu:
On the Age-Optimality of Relax-then-Truncate Approach under Partial Battery Knowledge in Energy Harvesting IoT Networks. - Kirill Muravyev, Konstantin S. Yakovlev:
Evaluation of RGB-D SLAM in Large Indoor Environments. - Hao Zheng, Mirella Lapata:
Real-World Compositional Generalization with Disentangled Sequence-to-Sequence Learning. - Peng Hu:
A Cross-Layer Descent Approach for Resilient Network Operations of Proliferated LEO Satellites. - Nishant Jain, Pradeep Shenoy:
Selective classification using a robust meta-learning approach. - (Withdrawn) MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling.
- Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On Computing Probabilistic Abductive Explanations. - Jiabao Lei, Jiapeng Tang, Kui Jia:
Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Multivariate Powered Dirichlet Hawkes Process. - Gaël Poux-Médard, Julien Velcin, Sabine Loudcher:
Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks. - Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. - Patrick de Mars:
Reinforcement Learning and Tree Search Methods for the Unit Commitment Problem. - Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. - Tom Davot, Lucas Isenmann, Sanjukta Roy, Jocelyn Thiebaut:
Degreewidth: a New Parameter for Solving Problems on Tournaments. - Cristina Improta, Pietro Liguori, Roberto Natella, Bojan Cukic, Domenico Cotroneo:
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators. - Giulio Biondi, Valentina Franzoni, Osvaldo Gervasi, Damiano Perri:
An Approach for Improving Automatic Mouth Emotion Recognition. - Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey:
A Neural ODE Interpretation of Transformer Layers. - Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting:
The Stable Artist: Steering Semantics in Diffusion Latent Space. - Amr Farahat, Felix Effenberger, Martin A. Vinck:
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations. - Dawei Du, Ameya Shringi, Anthony Hoogs, Christopher Funk:
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition. - Xi Ye, Guillaume-Alexandre Bilodeau:
Video Prediction by Efficient Transformers. - Sam Ganzfried, Kevin A. Wang, Max Chiswick:
Bayesian Opponent Modeling in Multiplayer Imperfect-Information Games. - Rishabh Misra:
IMDB Spoiler Dataset. - Rishabh Misra:
News Headlines Dataset For Sarcasm Detection. - Siyao Peng, Yang Janet Liu, Amir Zeldes:
Chinese Discourse Annotation Reference Manual. - Patrick Huber, Giuseppe Carenini:
Large Discourse Treebanks from Scalable Distant Supervision. - You Zuo, Yixuan Li, Alma Parias García, Kim Gerdes:
Technological taxonomies for hypernym and hyponym retrieval in patent texts. - David A. Bloore, Romane Gauriau, Anna L. Decker, Jacob Oppenheim:
Semantic Decomposition Improves Learning of Large Language Models on EHR Data. - Ali Nazarizadeh, Touraj Banirostam, Minoo Sayyadpour:
Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets. - Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo:
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. - Angelo Kastroulis, Paolo Bonfini, Anastasios Litsas:
Introducing Hermes: Executing Clinical Quality Language (CQL) at over 66 Million Resources per Second (inexpensively). - Erwin Walraven, Ajaya Adhikari, Cor J. Veenman:
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems. - Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. - Deeksha Varshney, Aizan Zafar, Niranshu Kumar Behra, Asif Ekbal:
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation. - Leonardo Kanashiro Felizardo, Francisco Caio Lima Paiva, Anna Helena Reali Costa, Emilio Del-Moral-Hernandez:
Reinforcement Learning Applied to Trading Systems: A Survey. - Borong Zhang, Leonardo Zepeda-Núñez, Qin Li:
Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks. - Alekh Agarwal, Yujia Jin, Tong Zhang:
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation. - Guanchen Li, Dimitri Kagaris:
On the Number of Maintenance Cycles in Systems with Critical and Non-Critical Components. - Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang:
Regression with Label Differential Privacy. - Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick:
Robust Perception through Equivariance. - Renbo Zhao, Niccolò Dalmasso, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe. - Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. - Gabriel Acosta, Francisco M. Bersetche, Julio D. Rossi:
A domain decomposition scheme for couplings between local and nonlocal equations. - Luca Beurer-Kellner, Marc Fischer, Martin T. Vechev:
Prompting Is Programming: A Query Language For Large Language Models. - Maksim Zhdanov, Nico Hoffmann, Gabriele Cesa:
Implicit Neural Convolutional Kernels for Steerable CNNs. - Sandipan Sarma, Sushil Kumar, Arijit Sur:
Resolving Semantic Confusions for Improved Zero-Shot Detection. - Manuel Osvaldo Jesus Olguin Muñoz, Vishnu Narayanan Moothedath, Jaya Prakash Champati, Roberta L. Klatzky, Mahadev Satyanarayanan, James Gross:
Realistic Modeling of Human Timings for Wearable Cognitive Assistance. - Minsu Kim, Alexander C. DeRieux, Walid Saad:
A Bargaining Game for Personalized, Energy Efficient Split Learning over Wireless Networks. - Vitalis Vosylius, Edward Johns:
Where To Start? Transferring Simple Skills to Complex Environments. - Soneya Binta Hossain, Matthew B. Dwyer:
A Brief Survey on Oracle-based Test Adequacy Metrics. - Guilherme Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto A. Lotufo, Rodrigo Nogueira:
In Defense of Cross-Encoders for Zero-Shot Retrieval. - Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli:
A Survey on Reinforcement Learning Security with Application to Autonomous Driving. - Aljaz Bozic, Denis Gladkov, Luke Doukakis, Christoph Lassner:
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments. - Hanna Krasowski, Prithvi Akella, Aaron D. Ames, Matthias Althoff:
Verifiably Safe Reinforcement Learning with Probabilistic Guarantees via Temporal Logic. - Michael Luke Battle, Amir Atapour-Abarghouei, Andrew Stephen McGough:
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets. - Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu:
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes. - Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo:
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion. - Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl:
NMS Strikes Back. - Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Shuyang Gu, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet. - Leonie Becker, Tommy Nilsson, Aidan Cowley:
Electroencephalography (EEG), electromyography (EMG) and eye-tracking for astronaut training and space exploration. - Sumon Biswas, Hridesh Rajan:
Fairify: Fairness Verification of Neural Networks. - Ziyang Zheng, Zhengyang Duan, Hang Chen, Rui Yang, Sheng Gao, Haiou Zhang, Hongkai Xiong, Xing Lin:
Dual adaptive training of photonic neural networks. - Shiyu Liu, Rohan Ghosh, Mehul Motani:
Towards Better Long-range Time Series Forecasting using Generative Forecasting. - Shiyu Liu, Mehul Motani:
Improving Mutual Information based Feature Selection by Boosting Unique Relevance. - Shiyu Liu, Rohan Ghosh, Chong Min John Tan, Mehul Motani:
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks. - Shiyu Liu, Rohan Ghosh, Dylan Tan, Mehul Motani:
AP: Selective Activation for De-sparsifying Pruned Neural Networks. - Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. - Shuo Yang, Yang Jiao, Shaoyu Dou, Mana Zheng, Chen Zhu:
CPMLHO: Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization. - Lei Zhang, Jie Zhang, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu:
Accelerating Dataset Distillation via Model Augmentation. - Xiao Liu, Alan F. Smeaton, Alessandra Mileo:
An adaptive human-in-the-loop approach to emission detection of Additive Manufacturing processes and active learning with computer vision. - Serkan Kiranyaz, Ozer Can Devecioglu, Amir Alhams, Sadok Sassi, Turker Ince, Osama Abdeljaber, Onur Avci, Moncef Gabbouj:
Zero-Shot Motor Health Monitoring by Blind Domain Transition. - Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon:
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. - Pavel Tokmakov, Jie Li, Adrien Gaidon:
Breaking the "Object" in Video Object Segmentation. - Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick:
Doubly Right Object Recognition: A Why Prompt for Visual Rationales. - Ellen Simpson, Samantha Dalal, Bryan C. Semaan:
"Hey, Can You Add Captions?": The Critical Infrastructuring Practices of Neurodiverse People on TikTok. - Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le:
Contextual Explainable Video Representation: Human Perception-based Understanding. - Devansh Sharma, Tihitina Hade, Qing Tian:
Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset. - Jessie J. Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler:
Incorporating Ethics in Computing Courses: Perspectives from Educators. - Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. - Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar:
Reinforced Approximate Exploratory Data Analysis. - Jason W. Anderson, Marcin Ziolkowski, Ken Kennedy, Amy W. Apon:
Synthetic Image Data for Deep Learning. - Kambiz Azarian, Debasmit Das, Hyojin Park, Fatih Porikli:
Test-time Adaptation vs. Training-time Generalization: A Case Study in Human Instance Segmentation using Keypoints Estimation. - Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. - Alexandros Haliassos, Pingchuan Ma, Rodrigo Mira, Stavros Petridis, Maja Pantic:
Jointly Learning Visual and Auditory Speech Representations from Raw Data. - Sohail R. Reddy, Maciej Waruszewski, Felipe A. V. de Braganca Alves, Francis X. Giraldo:
IMplicit-EXplicit Formulations for Discontinuous Galerkin Non-Hydrostatic Atmospheric Models. - Giuseppe Cotardo:
Zeta Functions for Tensor Codes. - Ahmed Abdelreheem, Kyle Olszewski, Hsin-Ying Lee, Peter Wonka, Panos Achlioptas:
ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes. - Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli:
Autoregressive Bandits. - Prithvi Akella, Skylar X. Wei, Joel W. Burdick, Aaron D. Ames:
Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data. - Raghav Mehta, Vítor Albiero, Li Chen, Ivan Evtimov, Tamar Glaser, Zhiheng Li, Tal Hassner:
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations. - Yongding Tian, Matthijs A. Reukers, Zaid Al-Ars, H. Peter Hofstee, Matthijs Brobbel, Johan Peltenburg, Jeroen van Straten:
Tydi-lang: A Language for Typed Streaming Hardware. - Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee:
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. - Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez:
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. - Miguel Rios, Ameen Abu-Hanna:
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels. - Khaleel Mershad:
A Taxonomy and Review of Lightweight Blockchain Solutions for Internet of Things Networks. - Yaya Bello, Jean-Baptiste Doré, David Demmer:
DFT-s-OFDM for sub-THz Transmission - Tracking and Compensation of Phase Noise. - Jaimie Swartz, Elizabeth Ratnam, Abhishek Bhardwaj, Alexandra von Meier:
Gershgorin Disc-based Voltage Stability Regions for DER Siting and Control in Distribution Grids. - Yidong Zhao, Changchun Yang, Artur M. Schweidtmann, Qian Tao:
Efficient Bayesian Uncertainty Estimation for nnU-Net. - Guojun Xiong, Jian Li:
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits. - Naman Agarwal, Brian Bullins, Karan Singh:
Variance-Reduced Conservative Policy Iteration. - Gabriel Filios, Ioannis Katsidimas, Sotiris E. Nikoletseas, Stefanos H. Panagiotou, Theofanis P. Raptis:
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories. - Nika Mansouri-Ghiasi, Nandita Vijaykumar, Geraldo F. Oliveira, Lois Orosa, Ivan Fernandez, Mohammad Sadrosadati, Konstantinos Kanellopoulos, Nastaran Hajinazar, Juan Gómez-Luna, Onur Mutlu:
ALP: Alleviating CPU-Memory Data Movement Overheads in Memory-Centric Systems. - Paula Fraga-Lamas, Daniel Barros, Sérgio Ivan Lopes, Tiago M. Fernández-Caramés:
Mist and Edge Computing Cyber-Physical Human-Centered Systems for Industry 5.0: A Cost-Effective IoT Thermal Imaging Safety System. - Joshua Albrecht, Ellie Kitanidis, Abraham J. Fetterman:
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety. - Anna R. Karlin, Nathan Klein, Shayan Oveis Gharan:
A (Slightly) Improved Deterministic Approximation Algorithm for Metric TSP. - Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. - Zihui Xue, Yale Song, Kristen Grauman, Lorenzo Torresani:
Egocentric Video Task Translation. - Shiva Moshtagh, Mehdi Rahmani:
Two-level Robust State Estimation for Multi-Area Power Systems Under Bounded Uncertainties. - Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Qing Liu, Yuqian Zhou, Sohrab Amirghodsi, Jiebo Luo:
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators. - Patrick Rehill:
Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation. - Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
Population-based JPEG Image Compression: Problem Re-Formulation. - Jan van den Brand, Yang P. Liu, Aaron Sidford:
Dynamic Maxflow via Dynamic Interior Point Methods. - Henry DeYoung, Frank Pfenning:
Data Layout from a Type-Theoretic Perspective (extended version). - Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Privacy-Preserving Collaborative Learning through Feature Extraction. - Minghong Fang, Jia Liu, Neil Zhenqiang Gong, Elizabeth S. Bentley:
AFLGuard: Byzantine-robust Asynchronous Federated Learning. - Changwei Gong, Changhong Jing, Ye Li, Xinan Liu, Zuxin Chen, Shuqiang Wang:
Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits. - Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng:
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization. - Avinash Patil, Aryan Jadon:
Auto-labelling of Bug Report using Natural Language Processing. - Zizhang Wu, Man Wang, Weiwei Sun, Yuchen Li, Tianhao Xu, Fan Wang, Keke Huang:
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion. - Hongteng Xu, Minjie Cheng:
Regularized Optimal Transport Layers for Generalized Global Pooling Operations. - Qisheng Zhang, Zhen Guo, Audun Jøsang, Lance M. Kaplan, Feng Chen, Dong Hyun Jeong, Jin-Hee Cho:
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration. - Richard Liu, Noam Aigerman, Vladimir G. Kim, Rana Hanocka:
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization. - Christopher Hench, Charith Peris, Jack FitzGerald, Kay Rottmann:
The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition. - Min Zhu, Handi Zhang, Anran Jiao, George Em Karniadakis, Lu Lu:
Reliable extrapolation of deep neural operators informed by physics or sparse observations. - Bin Wang, Yan Song, Fanming Wang, Yang Zhao, Xiangbo Shu, Yan Rui:
Dilation-Erosion for Single-Frame Supervised Temporal Action Localization. - Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari:
Towards Seamless Management of AI Models in High-Performance Computing. - Xin Liu, Honghao Wei, Lei Ying:
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems. - Nian-Ci Wu, Qian Zuo, Yatian Wang:
On the Polyak momentum variants of the greedy deterministic single and multiple row-action methods. - Dohyun Kwon, Ying Fan, Kangwook Lee:
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance. - Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard:
Numerical Stability of DeepGOPlus Inference. - Ronald Moore, Rishikesan Kamaleswaran:
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data. - Chen Xia, Yuqing Hu, Jianli Chen:
Community Time-Activity Trajectory Modelling based on Markov Chain Simulation and Dirichlet Regression. - Chen Xia, Yuqing Hu, Jianli Chen:
An activity-based spatial-temporal community electricity vulnerability assessment framework. - Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, Hanseok Ko:
Single Cell Training on Architecture Search for Image Denoising. - Jiang-Long Song, Wuhe Zou, Feng Li, Xiaolei Qin, Weidong Zhang:
Technical Report - Competition Solution for Prompt Tuning using Pretrained Language Model. - Giorgio Morales, John W. Sheppard:
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation. - Guoqing Lv, Xiaoping Wang, Jiang Li, Zhigang Zeng:
InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation. - Gabin An, Jingun Hong, Naryeong Kim, Shin Yoo:
Fonte: Finding Bug Inducing Commits from Failures. - Just Zwennicker, David Stap:
Towards a general purpose machine translation system for Sranantongo. - Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou:
PV3D: A 3D Generative Model for Portrait Video Generation. - Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. - Alexander K. Lew, Mathieu Huot, Sam Staton, Vikash K. Mansinghka:
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs. - Hyeongju Kim, Hyeong-Seok Choi:
Towards trustworthy phoneme boundary detection with autoregressive model and improved evaluation metric. - Arunava Gantait, Rajit Goyal, Syed Sajid Husain Rizvi, Zaira Haram:
Zero Knowledge Identification and Verification of Voting Systems. - Yanbaihui Liu:
Localization and Navigation System for Indoor Mobile Robot. - Minghan Wei, Volkan Isler:
Predicting Energy Consumption of Ground Robots On Uneven Terrains. - Shengyu Zhang, Shiyao Zhang, Weijie Yuan, Yonghui Li, Lajos Hanzo:
Efficient Rate-Splitting Multiple Access for the Internet of Vehicles: Federated Edge Learning and Latency Minimization. - Chunyu Qiang, Peng Yang, Hao Che, Xiaorui Wang, Zhongyuan Wang:
Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis. - Nian-Ci Wu, Cheng-Zhi Liu:
Randomized progressive iterative approximation for B-spline curve and surface fittings. - Manuel Lage Cañellas, Constantino Álvarez Casado, Le Ngu Nguyen, Miguel Bordallo López:
Improving Depression estimation from facial videos with face alignment, training optimization and scheduling. - Aishwarya Srinivasan:
Balloon-to-Balloon AdHoc Wireless Network Connectivity: Google Project Loon. - Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi:
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals. - Hong-Yan Zhang, Fei Liu, Yu Zhou, Man Liang:
Even Order Explicit Symplectic Geometric Algorithms for Quaternion Kinematical Differential Equation in Guidance Navigation and Control via Diagonal Padè Approximation and Cayley Transform. - Kouki Wakita, Youhei Akimoto, Dimas M. Rachman, Yoshiki Miyauchi, Umeda Naoya, Atsuo Maki:
Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning. - Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang:
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. - Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez:
Graph Convolutional Networks for Traffic Forecasting with Missing Values. - Tao Lin:
How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions. - Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao:
Coarse-to-Fine Contrastive Learning on Graphs. - Yulong Wang, Xingshu Chen, Qixu Wang:
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy. - Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt:
Can recurrent neural networks learn process model structure? - Xuchong Zhang, Changfeng Sun, Haoliang Han, Hang Wang, Hongbin Sun, Nanning Zheng:
Object-fabrication Targeted Attack for Object Detection. - Thomas Werthenbach, Johan Pouwelse:
Survey on social reputation mechanisms: Someone told me I can trust you. - Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. - Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova:
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. - Song Mei, Cong Zhen:
A Novel Location Free Link Prediction in Multiplex Social Networks. - Olivier Moulin, Vincent François-Lavet, Mark Hoogendoorn:
Improving generalization in reinforcement learning through forked agents. - Ioannis Koureas, Mohit Pundir, Shai Feldfogel, David S. Kammer:
Beam-like topologically interlocked structures with hierarchical interlocking. - Qinghe Wang, Lijie Liu, Miao Hua, Qian He, Pengfei Zhu, Bing Cao, Qinghua Hu:
HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping. - Zongze Li, Shuai Wang, Shiyao Zhang, Miaowen Wen, Kejiang Ye, Yik-Chung Wu, Derrick Wing Kwan Ng:
Edge-Assisted V2X Motion Planning and Power Control Under Channel Uncertainty. - Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García:
A Statistical Model for Predicting Generalization in Few-Shot Classification. - Yuhui Wan, Chengxu Zhou:
Web-based Experiment on Human Performance in Dual-Robot Teleoperation. - Nguyen Cong Luong, Quoc-Viet Pham, Thien Huynh-The, Van-Dinh Nguyen, Derrick Wing Kwan Ng, Symeon Chatzinotas:
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design. - Mustafa Jarrar, Fadi A. Zaraket, Tymaa Hammouda, Daanish Masood Alavi, Martin Wählisch:
Lisan: Yemeni, Iraqi, Libyan, and Sudanese Arabic Dialect Copora with Morphological Annotations. - Florian Tramèr, Gautam Kamath, Nicholas Carlini:
Considerations for Differentially Private Learning with Large-Scale Public Pretraining. - Matan Peled, Bat-Chen Rothenberg, Shachar Itzhaky:
SMT Sampling via Model-Guided Approximation. - Hu Jin:
Trajectory Adaptive Prediction for Moving Objects in Uncertain Environment. - Therese Joseph, Sarah Baldwin, Lillian Guan, James Brett, David Howard:
The Jamming Donut: A Free-Space Gripper based on Granular Jamming. - Kaiyou Song, Shan Zhang, Zihao An, Zimeng Luo, Tong Wang, Jin Xie:
Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning. - Panagiotis Papadopoulos, Dimitris Spithouris, Evangelos P. Markatos, Nicolas Kourtellis:
FNDaaS: Content-agnostic Detection of Fake News sites. - Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li:
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. - Maarten Buyl, Tijl De Bie:
Inherent Limitations of AI Fairness. - Cameron Coombe, James Brett, Raghav Mishra, Gary W. Delaney, David Howard:
Active Vibration Fluidization for Granular Jamming Grippers. - Koya Sakakibara, Yuuki Shimizu:
Numerical analysis for the Plateau problem by the method of fundamental solutions. - David Howard, Jack O'Connor, Jordan Letchford, Therese Joseph, Sophia Lin, Sarah Baldwin, Gary W. Delaney:
A Comprehensive Dataset of Grains for Granular Jamming in Soft Robotics: Grip Strength and Shock Absorption. - Zongsheng Yue, Chen Change Loy:
DifFace: Blind Face Restoration with Diffused Error Contraction. - Julian Weber, Alessandro Berti, Gyunam Park, Majid Rafiei, Wil M. P. van der Aalst:
Interactive Process Identification and Selection from SAP ERP. - Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana:
Overview of The MediaEval 2022 Predicting Video Memorability Task. - Valerio Brunacci, Alessio De Angelis, Gabriele Costante:
Development of a Cooperative Localization System using a UWB Network and BLE Technology. - Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou:
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble. - Chenyangguang Zhang, Zhiqiang Lou, Yan Di, Federico Tombari, Xiangyang Ji:
SST: Real-time End-to-end Monocular 3D Reconstruction via Sparse Spatial-Temporal Guidance. - Abdelhafid Zenati, Nabil Aouf, David Sanchez de la Llana, Samir Bannani:
Validation of Neural Network Controllers for Uncertain Systems Through Keep-Close Approach: Robustness Analysis and Safety Verification. - Bernd Hofmann, Frank Werner, Yu Deng:
On uniqueness and ill-posedness for the deautoconvolution problem in the multi-dimensional case. - Brian Kenji Iwana:
On Mini-Batch Training with Varying Length Time Series. - Domenico Tortorella, Alessio Micheli:
Leave Graphs Alone: Addressing Over-Squashing without Rewiring. - Jannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost:
Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool. - Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang:
Model-Free Approach to Fair Solar PV Curtailment Using Reinforcement Learning. - Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri:
Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences. - Vincent Cohen-Addad, Xi Chen, Rajesh Jayaram, Amit Levi, Erik Waingarten:
Streaming Euclidean MST to a Constant Factor. - Julijan Jug, Ajda Lampe, Vitomir Struc, Peter Peer:
Body Segmentation Using Multi-task Learning. - Muhammad Anwar, Changlong Wang, Frits de Nijs, Hao Wang:
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets. - Minghan Li, Éric Gaussier:
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling. - Moritz Ibing, Isaak Lim, Leif Kobbelt:
Localized Latent Updates for Fine-Tuning Vision-Language Models. - Gregor Donabauer, Udo Kruschwitz:
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs. - David Stenger, Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter:
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance? - Sergey Zeltyn, Segev Shlomov, Avi Yaeli, Alon Oved:
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration. - Muneeza Azmat, Malvern Madondo, Kelsey Dipietro, Raya Horesh, Arun Bawa, Michael Jacobs, Raghavan Srinivasan, Fearghal O'Donncha:
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. - Timothy O. Hodson, Thomas M. Over, Tyler J. Smith, Lucy A. Marshall:
How to select an objective function using information theory. - Bowen Yin, Xuying Zhang, Qibin Hou, Boyuan Sun, Deng-Ping Fan, Luc Van Gool:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Why are co-authored academic articles more cited: Higher quality or larger audience? - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021. - Yiting Qu, Xinlei He, Shannon Pierson, Michael Backes, Yang Zhang, Savvas Zannettou:
On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning. - Kayvan Kousha, Mike Thelwall:
Artificial intelligence technologies to support research assessment: A review. - Peter Bajcsy, Antonio Cardone, Chenyi Ling, Philippe Dessauw, Michael Majurski, Timothy Blattner, Derek Juba, Walid Keyrouz:
AI Model Utilization Measurements For Finding Class Encoding Patterns. - Michael Wiesheu, Melina Merkel, Tim Sittig, Dimitri Benke, Max Fries, Sebastian Schöps, Oliver Weeger, Idoia Cortes Garcia:
How to Build the Optimal Magnet Assembly for Magnetocaloric Cooling: Structural Optimization with Isogeometric Analysis. - Harjinder Lallie, Jane E. Sinclair, Mike Joy, Helge Janicke, Blaine A. Price, Richard Howley:
Pedagogic Challenges in Teaching Cyber Security - a UK Perspective. - L. Fernández-Jambrina:
Developable surface patches bounded by NURBS curves. - Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu:
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. - António M. Caetano, Simon N. Chandler-Wilde, Andrew Gibbs, David P. Hewett, Andrea Moiola:
A Hausdorff-measure boundary element method for acoustic scattering by fractal screens. - Hyunwoo Kang, Sangwoo Mo, Jinwoo Shin:
OAMixer: Object-aware Mixing Layer for Vision Transformers. - Lizhao You, Xinbo Zhao, Rui Cao, Yulin Shao, Liqun Fu:
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning. - Hua Wang:
Trajectory Privacy Protection Mechanism based on Social Attributes. - Hua Wang:
A fast and Accurate Sketch Method for Estimating User Similarities over Trajectory Data. - Song Mei, Zhiqiang Ye:
Plausible deniability for privacy-preserving data synthesis. - Paolo Pellizzoni, Francesco Silvestri:
Dimensionality reduction on complex vector spaces for dynamic weighted Euclidean distance. - (Withdrawn) OpenAPI Specification Extended Security Scheme: A method to reduce the prevalence of Broken Object Level Authorization.
- Birgit Vogel-Heuser, Daniel Schütz, Timo Frank, Christoph Legat:
Model-driven Engineering of Manufacturing Automation Software Projects - A SysML-based Approach. - Yiqi Sun, Zhengxin Shi, Jianshen Zhang, Yongzhi Qi, Hao Hu, Zuo-Jun Max Shen:
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting. - Christian Sormann, Emanuele Santellani, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer:
DELS-MVS: Deep Epipolar Line Search for Multi-View Stereo. - Arman Pourghorban, Michael R. Dorothy, Daigo Shishika, Alexander Von Moll, Dipankar Maity:
Target Defense against Sequentially Arriving Intruders. - Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao:
Aligning Visual and Lexical Semantics. - Matej Mihelcic, Pauli Miettinen:
Differentially Private Tree-Based Redescription Mining. - Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels. - Giovanni de Felice:
Categorical Tools for Natural Language Processing. - Samuel J. Bell, Levent Sagun:
Simplicity Bias Leads to Amplified Performance Disparities. - Christina Pacher, Irene Schicker, Rosmarie deWit, Katerina Hlavácková-Schindler, Claudia Plant:
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree. - Qinyi Deng, Yong Guo, Zhibang Yang, Haolin Pan, Jian Chen:
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling. - Noble Mushtak, Daniel Lemire:
Fast Number Parsing Without Fallback. - David Mueller, Nicholas Andrews, Mark Dredze:
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? - Shuyang Gu, Chuangen Gao, Jun Huang, Weili Wu:
Profit Maximization in Social Networks and Non-monotone DR-submodular Maximization. - Alex Kaltenbach, Michael Ruzicka:
Analysis of a fully-discrete, non-conforming approximation of evolution equations and applications. - Seongjin Choi, Nicolas Saunier, Martin Trépanier, Lijun Sun:
Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting. - Weijun Jin, Lance Wilhelm:
The Hateful Memes Challenge Next Move. - Emmanuel Hainry, Romain Péchoux, Mário Silva:
A programming language characterizing quantum polynomial time. - Stephen Ibanez, Alex Mallery, Serhat Arslan, Theo Jepsen, Muhammad Shahbaz, Changhoon Kim, Nick McKeown:
Enabling the Reflex Plane with the nanoPU. - Dario Izzo, Gabriele Meoni, Pablo Gómez, Dominik Dold, Alexander Zoechbauer:
Selected Trends in Artificial Intelligence for Space Applications. - Christian Otto, Markos Stamatakis, Anett Hoppe, Ralph Ewerth:
Predicting Knowledge Gain for MOOC Video Consumption. - Telmo L. T. Menezes, Antonin Pottier, Camille Roth:
The two sides of the Environmental Kuznets Curve: a socio-semantic analysis. - Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang:
Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. - Hendrik Heuer, Elena Leah Glassman:
A Comparative Evaluation of Interventions Against Misinformation: Augmenting the WHO Checklist. - Devika Shylaja:
Numerical analysis of optimal control problems governed by fourth-order linear elliptic equations using the Hessian discretisation method. - Julia Huang, Toure Smith, Aloukika Patro, Vidhi Chhabra:
A Novel Approach For Generating Customizable Light Field Datasets for Machine Learning. - Anil Palepu, Andrew L. Beam:
TIER: Text-Image Entropy Regularization for CLIP-style models. - Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, Mahdi Shafiee Kamalabad, Daniel L. Oberski:
On Text-based Personality Computing: Challenges and Future Directions. - Hadi Hashemi, Beatriz Soret, M. Carmen Aguayo-Torres:
Analysis of the Outage Probability of Ground-Based Relaying for Satellite Systems. - Yaru Hao, Yutao Sun, Li Dong, Zhixiong Han, Yuxian Gu, Furu Wei:
Structured Prompting: Scaling In-Context Learning to 1, 000 Examples. - Wenshuo Li:
CNN-transformer mixed model for object detection. - Chinmaya Dabral, Emma Tosch, Chris Martens:
Exploring Consequences of Privacy Policies with Narrative Generation via Answer Set Programming. - David Noever, Matthew Ciolino:
The Turing Deception. - Matteo Ferrante, Tommaso Boccato, Nicola Toschi:
Semantic Brain Decoding: from fMRI to conceptually similar image reconstruction of visual stimuli. - Amin Ghiasi, Hamid Kazemi, Eitan Borgnia, Steven Reich, Manli Shu, Micah Goldblum, Andrew Gordon Wilson, Tom Goldstein:
What do Vision Transformers Learn? A Visual Exploration. - Andrea Falanti, Eugenio Lomurno, Danilo Ardagna, Matteo Matteucci:
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification. - Yekun Chai, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu:
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages. - Brian Van Stratum, Kourosh Shoele, Jonathan E. Clark:
Pacific Lamprey Inspired Climbing. - Minghong Fang, Jia Liu, Michinari Momma, Yi Sun:
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data. - Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter:
Multi-objective Tree-structured Parzen Estimator Meets Meta-learning. - Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier:
Connectivity-constrained Interactive Panoptic Segmentation. - Sergey Levine, Dhruv Shah:
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results. - Simon Le Cleac'h, Mac Schwager, Zachary Manchester, Vikas Sindhwani, Pete Florence, Sumeet Singh:
Single-Level Differentiable Contact Simulation. - Zhe Zheng, Hong-Zheng Shi, Yu-Cheng Zhou, Xin-Zheng Lu, Jia-Rui Lin:
Earthquake Impact Analysis Based on Text Mining and Social Media Analytics. - Osvaldo Gervasi, Martina Fortunelli, Riccardo Magni, Damiano Perri, Marco Simonetti:
Mobile Localization Techniques Oriented to Tangible Web. - Peter Lorenz, Margret Keuper, Janis Keuper:
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection. - Vegard Steinsland, Lars Michael Kristensen, Shujun Zhang:
Modelling and Validation of Power Electronics Converter Systems using Coloured Petri Nets. - Therese Biedl, Karthik Murali:
On computing the vertex connectivity of 1-plane graphs. - Renrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, Hongsheng Li:
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders. - Chenhongyi Yang, Jiarui Xu, Shalini De Mello, Elliot J. Crowley, Xiaolong Wang:
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation. - Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer:
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. - Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. - Jennifer Hu, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, Edward Gibson:
A fine-grained comparison of pragmatic language understanding in humans and language models. - Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre L. Dognin, Kush R. Varshney:
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting. - Andreas Gavros, Foteini Gavrou:
Can a face tell us anything about an NBA prospect? - A Deep Learning approach. - Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich:
RT-1: Robotics Transformer for Real-World Control at Scale. - Enric Corona, Mihai Zanfir, Thiemo Alldieck, Eduard Gabriel Bazavan, Andrei Zanfir, Cristian Sminchisescu:
Structured 3D Features for Reconstructing Relightable and Animatable Avatars. - Vinay Jogani, Joy Purohit, Ishaan Shivhare, Samina Attari, Shraddha Surtkar:
Adversarial Attacks and Defences for Skin Cancer Classification. - Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna:
Explanations Can Reduce Overreliance on AI Systems During Decision-Making. - Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Chuanxin Tang, Xiyang Dai, Yucheng Zhao, Yujia Xie, Lu Yuan, Yu-Gang Jiang:
Look Before You Match: Instance Understanding Matters in Video Object Segmentation. - Zhijie Wang, Yuheng Huang, Lei Ma, Haruki Yokoyama, Susumu Tokumoto, Kazuki Munakata:
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty. - Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi:
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals. - Christoph Jansen, Georg Schollmeyer, Thomas Augustin:
Multi-Target Decision Making under Conditions of Severe Uncertainty. - Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez:
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. - Hongyan Bao, Yufei Han, Yujun Zhou, Xin Gao, Xiangliang Zhang:
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs. - Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström:
LidarCLIP or: How I Learned to Talk to Point Clouds. - Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. - Tejas Santanam, Mengyang Liu, Jiangyue Yu, Zhaodong Yang:
Deep Image Style Transfer from Freeform Text. - Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic:
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare. - Mingqi Jiang, Saeed Khorram, Fuxin Li:
Examining the Difference Among Transformers and CNNs with Explanation Methods. - Craig Knuth, Glen Chou, Jamie Reese, Joseph L. Moore:
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems. - Jakub Kudela:
Are metaheuristics worth it? A computational comparison between nature-inspired and deterministic techniques on black-box optimization problems. - Andrea Ebner, Markus Haltmeier:
Plug-and-Play image reconstruction is a convergent regularization method. - Vanessa López, Gabriele Picco, Inge Vejsbjerg, Thanh Lam Hoang, Yufang Hou, Marco Luca Sbodio, John Segrave-Daly, Denisa Moga, Sean Swords, Miao Wei, Eoin Carrol:
Envisioning a Human-AI collaborative system to transform policies into decision models. - Yigit Efe Erginbas, Soham R. Phade, Kannan Ramchandran:
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets. - Prasangsha Ganguly, Sayanti Mukherjee:
IIVA: A Simulation Based Generalized Framework for Interdependent Infrastructure Vulnerability Assessment. - George Worrall, Jasmeet Judge:
In-Season Crop Progress in Unsurveyed Regions using Networks Trained on Synthetic Data. - Patrick M. Soga, David Chiang:
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata. - Mingren Shen, Shuoxuan Dong, Xiuyuan He:
Query Time Optimized Deep Learning Based Video Inference System. - Jihong Park, Jinho Choi, Seong-Lyun Kim, Mehdi Bennis:
Enabling the Wireless Metaverse via Semantic Multiverse Communication. - Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan:
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. - Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. - Daniil Lisus, Mitchell R. Cohen, James Richard Forbes:
Know What You Don't Know: Consistency in Sliding Window Filtering with Unobservable States Applied to Visual-Inertial SLAM (Extended Version). - Fruzsina Julia Agocs, Alex H. Barnett:
An adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost. - Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim:
On the Relationship Between Explanation and Prediction: A Causal View. - Chao Zhou, Cheng Qiu, Daniel E. Acuna:
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. - Pavel Surynek:
Heuristically Guided Compilation for Multi-Agent Path Finding. - Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li:
Pre-trained Language Models can be Fully Zero-Shot Learners. - Yihang Fu, Zesen Zhuang, Luyao Zhang:
AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security. - Brae J. Webb, Ian J. Hayes, Mark Utting:
Verifying term graph optimizations using Isabelle/HOL. - Matineh Pooshideh:
A Novel Active Solution for Two-Dimensional Face Presentation Attack Detection. - Sumanto Chanda, Tatsuaki Wada:
Mechanics of geodesics in Information geometry. - Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara:
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks. - Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno J. T. Fernandes, Francisco Cruz:
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario. - Angad Singh, Omar Makhlouf, Maximilian Igl, João V. Messias, Arnaud Doucet, Shimon Whiteson:
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving. - Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem:
Localizing Objects in 3D from Egocentric Videos with Visual Queries. - Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang:
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. - Leyuan Qu, Taihao Li, Cornelius Weber, Theresa Pekarek-Rosin, Fuji Ren, Stefan Wermter:
Disentangling Prosody Representations with Unsupervised Speech Reconstruction. - Dongwei Zhao, Sarah Coyle, Apurba Sakti, Audun Botterud:
Market Mechanisms for Low-Carbon Electricity Investments: A Game-Theoretical Analysis. - Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage:
A Survey on Privacy of Personal and Non-Personal Data in B5G/6G Networks. - Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang:
Efficient Exploration in Resource-Restricted Reinforcement Learning. - Ben Burgess-Limerick, Chris Lehnert, Jürgen Leitner, Peter Corke:
An Architecture for Reactive Mobile Manipulation On-The-Move. - Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao:
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. - Baruch Schieber, Bhargav Samineni, Soroush Vahidi:
Interweaving Real-Time Jobs with Energy Harvesting to Maximize Throughput. - Yang Liu, Chen Dong, Xiaoqi Qin, Xiaodong Xu:
Efficient Sensor Scheduling Strategy Based on Spatio-temporal Scope Information Model. - Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy-Chowdhury:
Cross-Domain Video Anomaly Detection without Target Domain Adaptation. - Shenyu Liu, Antonio Russo:
Further characterizations of integral input-to-state stability for hybrid systems. - Charles Richter, Patrick R. Barragan, Sertac Karaman:
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels. - Takahiro Sanada:
Category-Graded Algebraic Theories and Effect Handlers. - Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick:
Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. - Zhuocheng Shang, Ahmed Eldawy:
Object Delineation in Satellite Images. - Dongpin Oh, Dae Lee, Jeunghyun Byun, Bonggun Shin:
Improving group robustness under noisy labels using predictive uncertainty. - Hanyu Jiang, Li You, Ahmed Elzanaty, Jue Wang, Wenjin Wang, Xiqi Gao, Mohamed-Slim Alouini:
Rate-Splitting Multiple Access for Uplink Massive MIMO With Electromagnetic Exposure Constraints. - Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. - Khuong D. Nguyen, Charles E. Augarde, William M. Coombs, H. Nguyen-Xuan, Magd Abdel Wahab:
Non-conforming multipatches for NURBS-based finite element analysis of higher-order phase-field models for brittle fracture. - Xumeng Gong, Cheng Yang, Chuan Shi:
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. - Khuong D. Nguyen, Thanh Cuong-Le, Frank Vogel, H. Nguyen-Xuan, Magd Abdel Wahab:
Crack propagation in quasi-brittle materials by fourth-order phase-field cohesive zone model. - Sumanth Udupa, Aniruddh Sikdar, Suresh Sundaram:
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification. - Dhrubajyoti Pathak, Sukumar Nandi, Priyankoo Sarmah:
AsPOS: Assamese Part of Speech Tagger using Deep Learning Approach. - Jiaxiang Jiang, Michael Goebel, Cezar Borba, William Smith, B. S. Manjunath:
3D Neuron Morphology Analysis. - Jiayuan Sun, Jiewen Zhu, Luping Ji:
Shared Coupling-bridge for Weakly Supervised Local Feature Learning. - Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu:
PD-Quant: Post-Training Quantization based on Prediction Difference Metric. - Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi:
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. - Hongxia Xie, Ming-Xian Lee, Tzu-Jui Chen, Hung-Jen Chen, Hou-I Liu, Hong-Han Shuai, Wen-Huang Cheng:
Dual-branch Cross-Patch Attention Learning for Group Affect Recognition. - Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao:
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. - Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection. - Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick:
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos. - Nguyen Dinh Tra, Nguyen Cong Tri, Phan Duy Hung:
Improving Warped Planar Object Detection Network For Automatic License Plate Recognition. - Mercedeh Harirchian, Fereshteh Amin, Saeed Rouhani, Aref Aligholipour, Vahid Amiri Lord:
AI-enabled exploration of Instagram profiles predicts soft skills and personality traits to empower hiring decisions. - Le Zhang, Qibin Hou, Yun Liu, Jia-Wang Bian, Xun Xu, Joey Tianyi Zhou, Ce Zhu:
Deep Negative Correlation Classification. - Hee Suk Yoon, Eunseop Yoon, John B. Harvill, Sunjae Yoon, Mark Hasegawa-Johnson, Chang D. Yoo:
SMSMix: Sense-Maintained Sentence Mixup for Word Sense Disambiguation. - Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. - Max Rose, Christian A. Hans, Johannes Schiffer:
A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures. - Yufei Xie, Yue Liu, Fan Zou:
Reform and Practice of Computer Application Technology Major Construction and Development in Higher Vocational Colleges in China - Taking Jiangxi Vocational College of Applied Technology as An Example. - Alameen Najjar, Kyle Mede:
Trajectory-User Linking Is Easier Than You Think. - Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. - Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram, Narasimhan Sundararajan:
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images. - Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-robust Language-Image Pre-training. - Yongtao Zhang, Yue Pan, Yulin Zhang, Linling Li, Li Zhang, Gan Huang, Zhen Liang, Zhiguo Zhang:
Unsupervised Time-Aware Sampling Network with Deep Reinforcement Learning for EEG-Based Emotion Recognition. - Serhat Bakirtas, Elza Erkip:
Database Matching Under Adversarial Column Deletions. - Wilton Kim, Stanislav Kruglik, Han Mao Kiah:
Coded Computation of Multiple Functions. - Avinash Kumar:
Towards Interactive, Adaptive and Result-aware Big Data Analytics. - Gizem Ünlü, Mohamed Sayed, Gabriel J. Brostow:
Interactive Sketching of Mannequin Poses. - Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang, Fang Chen:
Domain Generalization by Learning and Removing Domain-specific Features. - Elias Mohammed Elfarri, Adil Rasheed, Omer San:
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality. - Atsuyoshi Nakamura, Kento Sakurada:
Simplification of Forest Classifiers and Regressors. - Xin Zheng, Tianyu Liu, Haoran Meng, Xu Wang, Yufan Jiang, Meng-Liang Rao, Binghuai Lin, Zhifang Sui, Yunbo Cao:
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog. - Yuchao Chen, Jintao Wang, Xiaoqing Wang, Jian Song:
Age of Information Optimization in Multi-Channel Network with Sided Information. - Michael Weiss, Paolo Tonella:
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines. - Jun Kawahara, Toshiki Saitoh, Hirokazu Takeda, Ryo Yoshinaka, Yui Yoshioka:
Efficient Non-isomorphic Graph Enumeration Algorithms for Subclasses of Perfect Graphs. - Angèle Niclas, Laurent Seppecher:
Layer stripping approach to reconstruct shape defects in waveguides using locally resonant frequencies. - Jose Antonio Martin H., Oscar Fernández Vicente, Sergio Pérez, Anas Belfadil, Cristina Ibáñez-Llano, Freddy Jose Perozo Rondon, Jose Javier Valle, Javier Arechalde Pelaz:
Reinforcement Learning in System Identification. - Ivor van der Hoog, Eva Rotenberg, Sampson Wong:
Approximate Discrete Fréchet distance: simplified, extended and structured. - Emanuele Dri, Edoardo Giusto, Antonello Aita, Bartolomeo Montrucchio:
Towards practical Quantum Credit Risk Analysis. - Sourav Saha, Debapriyo Majumdar, Mandar Mitra:
Explainability of Text Processing and Retrieval Methods: A Critical Survey. - Qinkai Chen, Mohamed El-Mennaoui, Antoine Fosset, Amine Rebei, Haoyang Cao, Philine Bouscasse, Christy Eóin O'Beirne, Sasha Shevchenko, Mathieu Rosenbaum:
Towards mapping the contemporary art world with ArtLM: an art-specific NLP model. - Patrick Pfreundschuh, Rik Bähnemann, Tim Kazik, Thomas Mantel, Roland Siegwart, Olov Andersson:
Resilient Terrain Navigation with a 5 DOF Metal Detector Drone. - Maurizio Mongelli, Stefano Scanzio:
Approximating Optimal Estimation of Time Offset Synchronization with Temperature Variations. - Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev:
Reproducible scaling laws for contrastive language-image learning. - Yang Liu, Xingming Zhang, Janne Kauttonen, Guoying Zhao:
Uncertain Facial Expression Recognition via Multi-task Assisted Correction. - Michael Gundall, Julius Raphael Stegmann, Christopher Huber, Rüdiger Halfmann, Hans Dieter Schotten:
Implementation and Evaluation of the RBIS Protocol in 5G. - Aniruddh Sikdar, Sumanth Udupa, Suresh Sundaram:
Fully complex-valued deep learning model for visual perception. - Rahul M. K, Sumukh B, Praveen L. Uppunda, Vinayaka Raju, C. Gururaj:
Autonomous Vehicle Navigation with LIDAR using Path Planning. - Sophie Henning, Nicole Macher, Stefan Grünewald, Annemarie Friedrich:
MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text. - Wenye Lin, Yifeng Ding, Zhixiong Cao, Haitao Zheng:
Establishing a stronger baseline for lightweight contrastive models. - Gaurish Thakkar, Nives Mikelic Preradovic, Marko Tadic:
Multi-task Learning for Cross-Lingual Sentiment Analysis. - Diego Alves, Gaurish Thakkar, Marko Tadic:
Building and Evaluating Universal Named-Entity Recognition English corpus. - Yinhao Xu, Jian Zhou, Liang Tao, Hon Keung Kwan:
Multi-Scale Feature Fusion Transformer Network for End-to-End Single Channel Speech Separation. - Amrutha Prasad, Juan Zuluaga-Gomez, Petr Motlícek, Seyyed Saeed Sarfjoo, Iuliia Nigmatulina, Karel Veselý:
Speech and Natural Language Processing Technologies for Pseudo-Pilot Simulator. - Lehel Banjai, Matteo Ferrari:
Runge-Kutta convolution quadrature based on Gauss methods. - Jelena Sarajlic, Gaurish Thakkar, Diego Alves, Nives Mikelic Preradovic:
Quotations, Coreference Resolution, and Sentiment Annotations in Croatian News Articles: An Exploratory Study. - Stefanos Leonardos, Daniël Reijsbergen, Barnabé Monnot, Georgios Piliouras:
Optimality Despite Chaos in Fee Markets. - Tobias Eichinger, Ananta Lamichhane:
How Researchers Could Obtain Quick and Cheap User Feedback on their Algorithms Without Having to Operate their Own Recommender System. - Ahnaf Hannan Lodhi, Baris Akgün, Öznur Özkasap:
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms. - Waseem Shariff, Muhammad Ali Farooq, Joe Lemley, Peter M. Corcoran:
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System. - Xianglong Bai, Hua Lan, Zengfu Wang, Quan Pan, Yuhang Hao, Can Li:
Robust Multitarget Tracking in Interference Environments: A Message-Passing Approach. - Shimin Li, Qinyuan Cheng, Linyang Li, Xipeng Qiu:
Mitigating Negative Style Transfer in Hybrid Dialogue System. - Stefanos-Iordanis Papadopoulos, Christos Koutlis, Anastasios Papazoglou-Chalikias, Symeon Papadopoulos, Spiros Nikolopoulos:
Design-time Fashion Popularity Forecasting in VR Environments. - Jianlei Kong, Xiaomeng Fan, Xuebo Jin, Min Zuo:
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework. - Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Safety-Aware Hybrid Control of Airborne Wind Energy Systems. - Luis Scoccola, Hitesh Gakhar, Johnathan Bush, Nikolas Schonsheck, Tatum Rask, Ling Zhou, Jose A. Perea:
Toroidal Coordinates: Decorrelating Circular Coordinates With Lattice Reduction. - Tinghua Li, Bayu Jayawardhana:
Collision-free Source Seeking Control Methods for Unicycle Robots. - Bruno Courcelle, Yves Métivier:
Unfoldings and coverings of weighted graphs. - Cem Suulker, Sophie Skach, Kaspar Althoefer:
A Fabric Soft Robotic Exoskeleton with Novel Elastic Band Integrated Actuators for Hand Rehabilitation. - Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof:
MAELi - Masked Autoencoder for Large-Scale LiDAR Point Clouds. - Nikolaus Vertovec, Sina Ober-Blöbaum, Kostas Margellos:
Multi-objective low-thrust spacecraft trajectory design using reachability analysis. - Heng Li, Zhaopeng Cui, Shuaicheng Liu, Ping Tan:
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging. - Thorben Kuchel, Michael Neumann, Philipp Diebold, Eva-Maria Schön:
Key Challenges with Agile Culture - A Survey among Practitioners. - Xuan-Dung Doan:
VTCC-NLP at NL4Opt competition subtask 1: An Ensemble Pre-trained language models for Named Entity Recognition. - Jiaan Wang, Fandong Meng, Tingyi Zhang, Yunlong Liang, Jiarong Xu, Zhixu Li, Jie Zhou:
Understanding Translationese in Cross-Lingual Summarization. - Massimo Nicosia, Francesco Piccinno:
Evaluating Byte and Wordpiece Level Models for Massively Multilingual Semantic Parsing. - Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian:
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation. - Andrea Micheli:
An Efficient Incremental Simple Temporal Network Data Structure for Temporal Planning. - Christopher Hojny, Altan Berdan Kilic, Alberto Ravagnani:
Network Coding: An Optimization Approach. - Tobias Löw, Sylvain Calinon:
Geometric Algebra for Optimal Control with Applications in Manipulation Tasks. - Rubén Aylwin, Carlos Jerez-Hanckes, Christoph Schwab, Jakob Zech:
Multilevel Domain Uncertainty Quantification in Computational Electromagnetics. - Ruchi Guo:
On the maximum angle conditions for polyhedra with virtual element methods. - Artur Grigorev, Bernhard Thomaszewski, Michael J. Black, Otmar Hilliges:
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics. - Haoze He, Daniel Kressner:
Randomized Joint Diagonalization of Symmetric Matrices. - Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan:
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Swaraj Dash, Younesse Kaddar, Hugo Paquet, Sam Staton:
Affine Monads and Lazy Structures for Bayesian Programming. - Annalena Mickel, Andreas Neuenkirch:
The order barrier for the L1-approximation of the log-Heston SDE at a single point. - Sae Young Moon, Fran Silavong, Sean J. Moran:
API-Spector: an API-to-API Specification Recommendation Engine. - Yihao Guo, Minghui Xu, Dongxiao Yu, Yong Yu, Rajiv Ranjan, Xiuzhen Cheng:
Cross-Channel: Scalable Off-Chain Channels Supporting Fair and Atomic Cross-Chain Operations. - Qianqian Zou, Monika Sester, Claus Brenner:
Gaussian Process Mapping of Uncertain Building Models with GMM as Prior. - Mihai Zanfir, Thiemo Alldieck, Cristian Sminchisescu:
PhoMoH: Implicit Photorealistic 3D Models of Human Heads. - Xinqi Zhu, Chang Xu, Dacheng Tao:
ContraFeat: Contrasting Deep Features for Semantic Discovery. - Akshay Dhonthi, Ernst Moritz Hahn, Vahid Hashemi:
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining. - Ralf Zimmermann, Ronny Bergmann:
Multivariate Hermite interpolation of manifold-valued data. - Florian Bacho, Dominique F. Chu:
Directional Direct Feedback Alignment: Estimating Backpropagation Paths for Efficient Learning on Neural Processors. - Xuwang Yin:
Generative Robust Classification. - Nathan Godey, Roman Castagné, Éric de la Clergerie, Benoît Sagot:
MANTa: Efficient Gradient-Based Tokenization for Robust End-to-End Language Modeling. - Shamsi Brinn, Christopher Cameron, David Fielding, Charles Frankston, Alison Fromme, Peter Huang, Mark Nazzaro, Stephanie Orphan, Steinn Sigurdsson, Ryan Tay, Miranda Yang, Qianyu Zhou:
A framework for improving the accessibility of research papers on arXiv.org. - Issam Maarouf, Eirik Rosnes, Alexandre Graell i Amat:
Achievable Information Rates and Concatenated Codes for the DNA Nanopore Sequencing Channel. - Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li:
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. - Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool:
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. - Yuxuan Chen, Jiyan Qiu, Zidong Han, Chenhan Bai:
LGRASS: Linear Graph Spectral Sparsification for Final Task of the 3rd ACM-China International Parallel Computing Challenge. - Anil K. Jain, Akash Godbole, Anjoo Bhatnagar, Prem Sewak Sudhish:
Child PalmID: Contactless Palmprint Recognition. - Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas:
Bayesian data fusion with shared priors. - John Lambert, James Hays:
Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection. - Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. - Philipp Markert, Leona Lassak, Maximilian Golla, Markus Dürmuth:
"I Knew It Was Me": Understanding Users' Interaction with Login Notifications. - Joakim Tutt, Olga Taran, Roman Chaban, Brian Pulfer, Yury Belousov, Taras Holotyak, Slava Voloshynovskiy:
Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns. - Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He:
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Expert. - Christian Bartolo Burlò, Adrian Francalanza, Alceste Scalas, Catia Trubiani, Emilio Tuosto:
PSTMonitor: Monitor Synthesis from Probabilistic Session Types. - Silvia Palmucci, Anna Guerra, Andrea Abrardo, Davide Dardari:
RIS-aided User Tracking in Near-Field MIMO Systems: Joint Precoding Design and RIS Optimization. - Zecheng Zhang, Wing Tat Leung, Hayden Schaeffer:
BelNet: Basis enhanced learning, a mesh-free neural operator. - Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-Resolution Models. - Federica Nenna, Davide Zanardi, Luciano Gamberini:
Human-centric telerobotics: investigating users' performance and workload via VR-based eye-tracking measures. - Jianyu Zhang, Léon Bottou:
Learning useful representations for shifting tasks and distributions. - Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego:
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework. - Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal M. Patel:
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors. - Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson:
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks. - Charles A. Johnson, Shara Balakrishnan, Enoch Yeung:
Learning Invariant Subspaces of Koopman Operators-Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance. - Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. - Jan Martijn E. M. van der Werf, Andrey Rivkin, Marco Montali, Artem Polyvyanyy:
Correctness Notions for Petri Nets with Identifiers. - Charles A. Johnson, Shara Balakrishnan, Enoch Yeung:
Learning Invariant Subspaces of Koopman Operators-Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance. - Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou:
Image Compression with Product Quantized Masked Image Modeling. - Pedro Ákos Costa, João Leitão, Yiannis Psaras:
Studying the workload of a fully decentralized Web3 system: IPFS. - Vanessa V. Sochat, Matthieu Muffato, Audrey Stott, Marco De La Pierre, Georgia Stuart:
Automated Cache for Container Executables. - Zhuoqian Yang, Shikai Li, Wayne Wu, Bo Dai:
3DHumanGAN: Towards Photo-Realistic 3D-Aware Human Image Generation. - S. Vani, M. Doshi, Amit Anil Nanavati, A. Kundu:
Vulnerability Analysis of Smart Contracts. - Wenjing Bian, Zirui Wang, Kejie Li, Jia-Wang Bian, Victor Adrian Prisacariu:
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior. - Christian Döding, Patrick Henning, Johan Wärnegård:
An efficient two level approach for simulating Bose-Einstein condensates. - Majd Ibrahim, Ammar Fayad:
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning. - Yuying Ge, Annabella Macaluso, Li Erran Li, Ping Luo, Xiaolong Wang:
Self-Play and Self-Describe: Policy Adaptation with Vision-Language Foundation Models. - Jennifer J. Sun, Pierre Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John C. Tuthill, Aggelos K. Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona:
BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. - Yushi Lan, Xuyi Meng, Shuai Yang, Chen Change Loy, Bo Dai:
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion. - Qihang Zhang, Ceyuan Yang, Yujun Shen, Yinghao Xu, Bolei Zhou:
Towards Smooth Video Composition. - Cemil Vahapoglu, Matin Mortaheb, Sennur Ulukus:
Hierarchical Over-the-Air FedGradNorm. - Yuliang Xiu, Jinlong Yang, Xu Cao, Dimitrios Tzionas, Michael J. Black:
ECON: Explicit Clothed humans Obtained from Normals. - Pranjal Aggarwal, Pasupuleti Chandana, Jagrut Nemade, Shubham Sharma, Sunil Saumya, Shankar Biradar:
Hope Speech Detection on Social Media Platforms. - Zhivar Sourati, Vishnu Priya Prasanna Venkatesh, Darshan Deshpande, Himanshu Rawlani, Filip Ilievski, Hông-Ân Sandlin, Alain Mermoud:
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments. - Kamaludin Dingle, Pau Batlle, Houman Owhadi:
Multiclass classification utilising an estimated algorithmic probability prior. - Maren Pielka, Svetlana Schmidt, Lisa Pucknat, Rafet Sifa:
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference. - Diego Alves, Gaurish Thakkar, Gabriel Amaral, Tin Kuculo, Marko Tadic:
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia. - Kushal Chauhan, Rishabh Tiwari, Jan Freyberg, Pradeep Shenoy, Krishnamurthy Dvijotham:
Interactive Concept Bottleneck Models. - Sebastian Salazar, Samuel Denton, Ansaf Salleb-Aouissi:
Counterfactual Explanations for Support Vector Machine Models. - Iknoor Singh, Kalina Bontcheva, Xingyi Song, Carolina Scarton:
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation. - Atiyo Ghosh, Antonio A. Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Brad Kim, Jeong-Il Kye, Vincent E. Elfving:
Harmonic (Quantum) Neural Networks. - Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi, Yin Tat Lee, Felipe Suarez, Yi Zhang:
Learning threshold neurons via the "edge of stability". - Mo Tiwari, Ryan Kang, Je-Yong Lee, Sebastian Thrun, Chris Piech, Ilan Shomorony, Martin Jinye Zhang:
MABSplit: Faster Forest Training Using Multi-Armed Bandits. - Lukasz Kaminski, Maciej Kozlowski, Daniel Sporysz, Katarzyna Wolska, Patryk Zaniewski, Radoslaw Roszczyk:
Comparative review of selected Internet communication protocols. - Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast:
The Infinite Index: Information Retrieval on Generative Text-To-Image Models. - Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix:
Guiding continuous operator learning through Physics-based boundary constraints. - Brahma S. Pavse, Josiah P. Hanna:
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. - Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson:
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Thaha Mohammed, Rashid Mehmood:
Performance Enhancement Strategies for Sparse Matrix-Vector Multiplication (SpMV) and Iterative Linear Solvers. - Tooba Imtiaz, Morgan Kohler, Jared Miller, Zifeng Wang, Mario Sznaier, Octavia I. Camps, Jennifer G. Dy:
SAIF: Sparse Adversarial and Interpretable Attack Framework. - Sue Lim, Ralf Schmälzle:
Artificial Intelligence for Health Message Generation: Theory, Method, and an Empirical Study Using Prompt Engineering. - Teresa Datta, Daniel Nissani, Max Cembalest, Akash Khanna, Haley Massa, John P. Dickerson:
Tensions Between the Proxies of Human Values in AI. - Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg:
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. - Viktor Sanca, Anastasia Ailamaki:
Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics. - Mario Alviano, Laura Giordano, Daniele Theseider Dupré:
Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation. - Nam Phuong Tran, The-Anh Ta, Long Tran-Thanh:
Invariant Lipschitz Bandits: A Side Observation Approach. - Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli:
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language. - Talia Sanchez Viera, Richard Khoury:
Relationship Between Online Harmful Behaviors and Social Network Message Writing Style. - Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin, Stephen W. Searcy, Ulisses Braga-Neto, Sorin C. Popescu, Roberto Rodriguez, Daniel E. Martin, Juan Enciso, Karem Meza, Emma L. White:
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning. - Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale:
Causes and Cures for Interference in Multilingual Translation. - Charles R. Barone IV, Robert Serafin, Ilya Shavrov, Ibrahim M. Baggili, Aisha I. Ali-Gombe, Golden G. Richard III, Andrew Case:
A Reverse Engineering Education Needs Analysis Survey. - Aleksander Figiel, Tomohiro Koana, André Nichterlein, Niklas Wünsche:
Correlating Theory and Practice in Finding Clubs and Plexes. - Md. Masudur Rahman, Yexiang Xue:
Robust Policy Optimization in Deep Reinforcement Learning. - Kevin Lybarger, Nicholas J. Dobbins, Ritche Long, Angad P. Singh, Patrick Wedgeworth, Özlem Ozuner, Meliha Yetisgen:
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record. - Kate Pearce, Sharifa Alghowinem, Cynthia Breazeal:
Build-a-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture. - Florian Wimmenauer, Matús Mihalák, Mark H. M. Winands:
Monte-Carlo Tree-Search for Leveraging Performance of Blackbox Job-Shop Scheduling Heuristics. - Valentin Hofmann, Janet B. Pierrehumbert, Hinrich Schütze:
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology. - Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, Alexander F. Gelbukh:
ReDDIT: Regret Detection and Domain Identification from Text. - Mo Tiwari, Ryan Kang, Je-Yong Lee, Luke Lee, Chris Piech, Sebastian Thrun, Ilan Shomorony, Martin Jinye Zhang:
Faster Maximum Inner Product Search in High Dimensions. - Callum Rhodes, Cunjia Liu, Wen-Hua Chen:
Structurally aware 3D gas distribution mapping using belief propagation: a real-time algorithm for robotic deployment. - Taha Entesari, Mahyar Fazlyab:
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes. - Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen:
Generative structured normalizing flow Gaussian processes applied to spectroscopic data. - Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, Philipp Slusallek:
IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions. - Mohanad Sarhan, Gayan K. Kulatilleke, Wai Weng Lo, Siamak Layeghy, Marius Portmann:
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection. - Yiming Hou, Mahdi Rezaei, Richard Romano:
Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles. - Nuno Costa, Nuno Moniz:
Robustness Evaluation of Regression Tasks with Skewed Domain Preferences. - Ahmad Mustafa, Ghassan AlRegib:
Explainable Machine Learning for Hydrocarbon Prospect Risking. - Florent Bonnet, Jocelyn Ahmed Mazari, Paola Cinnella, Patrick Gallinari:
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions. - Neelofar, Aldeida Aleti:
Identifying Safety-critical Scenarios for Autonomous Vehicles via Key Features. - Bugra Can Sefercik, Baris Akgün:
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation. - Ahmad Mustafa, Ghassan AlRegib:
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation. - Maha Elbayad, Anna Y. Sun, Shruti Bhosale:
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation. - Jinzhi Huang, Zhongxiao Jia:
A skew-symmetric Lanczos bidiagonalization method for computing several largest eigenpairs of a large skew-symmetric matrix. - Javier Galbally, Julian Fiérrez, Fernando Alonso-Fernandez, Marcos Martinez-Diaz:
Evaluation of direct attacks to fingerprint verification systems. - Namyup Kim, Sehyun Hwang, Suha Kwak:
Learning to Detect Semantic Boundaries with Image-level Class Labels. - Wenyu Zhang, Li Shen, Chuan-Sheng Foo:
Co-Learning with Pre-Trained Networks Improves Source-Free Domain Adaptation. - Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada:
DeepJoin: Joinable Table Discovery with Pre-trained Language Models. - Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans:
Dissecting Distribution Inference. - Liqi Yan, Qifan Wang, Siqi Ma, Jingang Wang, Changbin Yu:
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration. - Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides:
Enhanced Training of Query-Based Object Detection via Selective Query Recollection. - Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco, Keith Loiselle:
Driver Assistance Eco-driving and Transmission Control with Deep Reinforcement Learning. - Kuan Xu, Yuefan Hao, Chen Wang, Lihua Xie:
AirVO: An Illumination-Robust Point-Line Visual Odometry. - Emery D. Berger, Sam Stern, Juan Altmayer Pizzorno:
Triangulating Python Performance Issues with Scalene. - Evangelos Chatziandreou, Chase W. Mathews, David J. Braun:
Design of a Parallel Elastic Actuator with a Continuously-Adjustable Equilibrium Position. - Zerun Liu, Fan Zhang, Jingxuan He, Jin Wang, Zhangye Wang, Lechao Cheng:
Text-guided mask-free local image retouching. - Mohammad Amin Saeidi, Hina Tabassum, Mohamed-Slim Alouini:
Multi-band Wireless Networks: Architectures, Challenges, and Comparative Analysis. - Zhidi Lin, Lei Cheng, Feng Yin, Lexi Xu, Shuguang Cui:
Output-Dependent Gaussian Process State-Space Model. - Lindsey Kerbel, Beshah Ayalew, Andrej Ivanco, Keith Loiselle:
Residual Policy Learning for Powertrain Control. - Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou:
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. - Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma:
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. - Gang Wang:
Power Allocation in Two-way Relaying Networks. - Mingyu Lee, Jun-Hyung Park, Junho Kim, Kang-Min Kim, SangKeun Lee:
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking. - Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji, Qixiang Ye:
Proposal Distribution Calibration for Few-Shot Object Detection. - Sijie Mai, Ya Sun, Haifeng Hu:
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning. - Yuanzhi Cai, Lei Fan, Yuan Fang:
SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image. - Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. - Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang:
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions. - Yunhao Ge, Jiashu Xu, Brian Nlong Zhao, Laurent Itti, Vibhav Vineet:
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation. - Ziqing Yang, Yiming Cui, Xin Yao, Shijin Wang:
Gradient-based Intra-attention Pruning on Pre-trained Language Models. - Diego Bueso, Maria Piles, Gustavo Camps-Valls:
Let's consider more general nonlinear approaches to study teleconnections of climate variables. - Xingyu Qian, Aximu Yuemaier, Longfei Liang, Wen-Chi Yang, Xiaogang Chen, Shunfen Li, Weibang Dai, Zhitang Song:
Memory-like Adaptive Modeling Multi-Agent Learning System. - Taotao Zhou, Kai He, Di Wu, Teng Xu, Qixuan Zhang, Kuixiang Shao, Wenzheng Chen, Lan Xu, Jingyi Yu:
Relightable Neural Human Assets from Multi-view Gradient Illuminations. - Yifeng Xie:
Improve Text Classification Accuracy with Intent Information. - Huayi Zhou, Fei Jiang, Hongtao Lu:
Body-Part Joint Detection and Association via Extended Object Representation. - Wenbin Chen, Qianqian Liu, Jie Shen:
Error estimates and blow-up analysis of a finite-element approximation for the parabolic-elliptic Keller-Segel system. - Quanxi Zhan, Junrui Zhang, Chenyang Sun, Runjie Shen, Bin He:
Hybrid stability augmentation control of multi-rotor UAV in confined space based on adaptive backstepping control. - Giacomo Elefante, Wolfgang Erb, Francesco Marchetti, Emma Perracchione, Davide Poggiali, Gabriele Santin:
Interpolation with the polynomial kernels. - Guanru Pan, Ruchuan Ou, Timm Faulwasser:
Data-driven Stochastic Output-Feedback Predictive Control: Recursive Feasibility through Interpolated Initial Conditions. - Kun Woo Cho, Marco Cominelli, Francesco Gringoli, Joerg Widmer, Kyle Jamieson:
Cross-Link Channel Prediction for Massive IoT Networks. - Vincent Christlein, Isabelle Marthot-Santaniello, Martin Mayr, Anguelos Nicolaou, Mathias Seuret:
Writer Retrieval and Writer Identification in Greek Papyri. - Guodong Chen, Xin Luo, Chuanyin Jiang, Jiu Jimmy Jiao:
Surrogate-assisted level-based learning evolutionary search for heat extraction optimization of enhanced geothermal system. - Mohammad Javad Pirhadi, Motahhare Mirzaei, Sauleh Eetemadi:
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy. - Sravan Kumar Jagadeesh, René Schuster, Didier Stricker:
Multi-task Fusion for Efficient Panoptic-Part Segmentation. - Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou:
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. - Massimiliano Luca, Gian Maria Campedelli, Simone Centellegher, Michele Tizzoni, Bruno Lepri:
Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science. - Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, João Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov:
Transformers learn in-context by gradient descent. - Xinye Chen, Stefan Güttel:
Exact fixed-radius nearest neighbor search with an application to clustering. - Victoria Mayorova, Andrey N. Morozov, Iliya Golyak, Nikita Lazarev, Valeriia Melnikova, Dmitry Rachkin, Victor Svirin, Stepan Tenenbaum, Igor Fufurin:
Small Spacecraft for Global Greenhouse Gas Monitoring. - Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Min-max Submodular Ranking for Multiple Agents. - Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian:
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. - Chung-Hao Lee, Yen-Fu Chen:
Anomaly Detection in Driving by Cluster Analysis Twice. - Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen:
Retrieval-based Disentanglement with Distant Supervision. - Andrea Mattia Garavagno, Daniele Leonardis, Antonio Frisoli:
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor. - Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu:
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. - Carlos Andrés Devia, Giulia Giordano:
Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits. - Francesco Ciclosi, Fabio Massacci:
The Data Protection Officer, an ubiquitous role nobody really knows. - Aniruddha Biswas, Palash Sarkar:
A Lower Bound on the Constant in the Fourier Min-Entropy/Influence Conjecture. - Josie König, Melina A. Freitag:
Time-limited Balanced Truncation for Data Assimilation Problems. - Majd Khalil, Benny Kimelfeld:
The Complexity of the Shapley Value for Regular Path Queries. - Robert Klar, Anna Fredriksson, Vangelis Angelakis:
Assessing the Maturity of Digital Twinning Solutions for Ports. - David Anton, Henning Wessels:
Physics-Informed Neural Networks for Material Model Calibration from Full-Field Displacement Data. - Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. - Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu:
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. - Xufang Wang, Zihuai Lin, Feng Lin, Pei Xiao:
Quantum Sensing Based Joint 3D Beam Training for UAV-mounted STAR-RIS Aided TeraHertz Multi-user Massive MIMO Systems. - Martín Escardó, Paulo Oliva:
Higher-order Games with Dependent Types. - Martina Cracco, Giovanni Stabile, Andrea Lario, Martin Larcher, Folco Casadei, Georgios Valsamos, Gianluigi Rozza:
Deep learning-based reduced-order methods for fast transient dynamics. - Jobie Budd, Kieran Baker, Emma Karoune, Harry Coppock, Selina Patel, Ana Tendero Cañadas, Alexander Titcomb, Richard Payne, David Hurley, Sabrina Egglestone, Lorraine Butler, Jonathon Mellor, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Radka Jersakova, Rachel A. McKendry, Peter Diggle, Sylvia Richardson, Björn W. Schuller, Steven Gilmour, Davide Pigoli, Stephen J. Roberts, Josef Packham, Tracey Thornley, Chris C. Holmes:
A large-scale and PCR-referenced vocal audio dataset for COVID-19. - Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang:
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. - Abdul Sittar, Dunja Mladenic, Marko Grobelnik:
Analysis of information cascading and propagation barriers across distinctive news events. - Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla:
Interpretable ML for Imbalanced Data. - Jiaxiang Fan, Jian Zhou, Xiaoyu Deng, Huabin Wang, Liang Tao, Hon Keung Kwan:
Combating Uncertainty and Class Imbalance in Facial Expression Recognition. - Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Furu Wei:
TRIP: Triangular Document-level Pre-training for Multilingual Language Models. - Irene Perez-Salesa, Rodrigo Aldana-Lopez, Carlos Sagüés:
Event-based Visual Tracking in Dynamic Environments. - Martin Higgins, Devki Nandan Jha, David Wallom:
Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles. - Tobias Prinz, Daniel Plabst, Thomas Wiegart, Stefano Calabrò, Norbert Hanik, Gerhard Kramer:
Successive Interference Cancellation for Fiber-Optic Channels with Direct Detection. - Ava Heinonen, Bettina Lehtelä, Arto Hellas, Fabian Fagerholm:
Synthesizing Research on Programmers' Mental Models of Programs, Tasks and Concepts - a Systematic Literature Review. - Andrea Bedin, Alexander Marinsek, Shaghayegh Shahcheraghi, Nairy Moghadas-Gholian, Liesbet Van der Perre:
DOPAMINE: Doppler frequency and Angle of arrival MINimization of tracking Error for extended reality. - Lukas Ortmann, Gianni Hotz, Saverio Bolognani, Florian Dörfler:
Real-time Curative Actions for Power Systems via Online Feedback Optimization. - Rémi Pautrat, Daniel Barath, Viktor Larsson, Martin R. Oswald, Marc Pollefeys:
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients. - Dongding Lin, Jian Wang, Wenjie Li:
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation. - Urtzi Otamendi, Iñigo Martinez, Igor G. Olaizola, Marco Quartulli:
A scalable framework for annotating photovoltaic cell defects in electroluminescence images. - Lorenz Kuhn, Yarin Gal, Sebastian Farquhar:
CLAM: Selective Clarification for Ambiguous Questions with Large Language Models. - Hernán Asorey, Rafael Mayo-García:
Calculation of the High-Energy Neutron Flux for Anticipating Errors and Recovery Techniques in Exascale Supercomputer Centres. - Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme:
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series. - Vahid Hashemi, Jan Kretínský, Sabine Rieder, Jessica Schmidt:
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks. - Erna Begovic, Ana Perkovic:
Convergence of the Eberlein diagonalization method under the generalized serial pivot strategies. - Kfir M. Cohen, Sangwoo Park, Osvaldo Simeone, Shlomo Shamai:
Calibrating AI Models for Wireless Communications via Conformal Prediction. - Ajoy Mondal, C. V. Jawahar:
Enhancing Indic Handwritten Text Recognition Using Global Semantic Information. - Heide Gluesing-Luerssen, Alberto Ravagnani:
𝓁-Complementary Subspaces and Codes in Finite Bilinear Spaces. - Zhihao Li, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, Zhan Ma:
Efficient Visual Computing with Camera RAW Snapshots. - Danilo Lelin Li, Arman Farhang:
Joint Channel Estimation and Equalization in Massive MIMO Using a Single Pilot Subcarrier. - Lorenzo Micalizzi, Davide Torlo, Walter Boscheri:
Efficient iterative arbitrary high order methods: an adaptive bridge between low and high order. - Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, Kai Chen:
RTMDet: An Empirical Study of Designing Real-Time Object Detectors. - Samira Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin Benning, Michael Moeller, Martin Burger:
Convergent Data-driven Regularizations for CT Reconstruction. - Lukas Ortmann, Jean Maeght, Patrick Panciatici, Florian Dörfler, Saverio Bolognani:
Online Feedback Optimization for Transmission Grid Operation. - Zixian Ma, Jerry Hong, Mustafa Omer Gul, Mona Gandhi, Irena Gao, Ranjay Krishna:
CREPE: Can Vision-Language Foundation Models Reason Compositionally? - Jiarui Zhang, Filip Ilievski, Aravinda Kollaa, Jonathan Francis, Kaixin Ma, Alessandro Oltramari:
Utilizing Background Knowledge for Robust Reasoning over Traffic Situations. - K. S. N. V. K. Gangadhar, B. Akhil Kumar, Yelleti Vivek, Vadlamani Ravi:
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection. - Anina Gruica, Benjamin Jany, Alberto Ravagnani:
Duality and LP Bounds for Codes with Locality. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Do altmetric scores reflect article quality? Evidence from the UK Research Excellence Framework 2021. - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations? - Lingyu Zhang, Chengzhi Mao, Junfeng Yang, Carl Vondrick:
Adversarially Robust Video Perception by Seeing Motion. - Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer:
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. - Torben Krieger, Bernhard Klein, Holger Fröning:
Towards Hardware-Specific Automatic Compression of Neural Networks. - Yan Y. Liu, Melissa R. Allen-Dumas:
Online Heatmap Generation with Both High and Low Weights. - Prasad Talasila, Daniel-Cristian Craciunean, Bogdan-Constantin Pirvu, Peter Gorm Larsen, Constantin B. Zamfirescu, Alea Scovill:
Comparison between the HUBCAP and DIGITBrain Platforms for Model-Based Design and Evaluation of Digital Twins. - Oriane Siméoni, Chloé Sekkat, Gilles Puy, Antonín Vobecký, Éloi Zablocki, Patrick Pérez:
Unsupervised Object Localization: Observing the Background to Discover Objects. - Luca Rossetto:
You were saying? - Spoken Language in the V3C Dataset. - Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis:
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning. - Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti:
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models. - Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. - Alex O. Davies, Nirav Ajmeri:
Realistic Synthetic Social Networks with Graph Neural Networks. - Jérôme Bolte, Edouard Pauwels, Antonio José Silveti-Falls:
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. - Jiawei Chen, Feifei Gao, Mengnan Jian, Wanmai Yuan:
Hierarchical Codebook Design for Near-Field MmWave MIMO Communications Systems. - Zhipeng Luo, Changqing Zhou, Gongjie Zhang, Shijian Lu:
DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention. - Sara Papi, Matteo Negri, Marco Turchi:
Attention as a guide for Simultaneous Speech Translation. - Gizem Sogancioglu, Heysem Kaya:
The effects of gender bias in word embeddings on depression prediction. - Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan:
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query. - Leo Egghe, Ronald Rousseau:
Impact in informetrics and beyond. - Chen Zhu, Chengbo Qiu, Shaoyu Dou, Minghao Liao:
Multi-Level Association Rule Mining for Wireless Network Time Series Data. - Yan Xia, Antti Gronow, Arttu Malkamäki, Tuomas Ylä-Anttila, Barbara Keller, Mikko Kivelä:
How the Russian invasion of Ukraine depolarized the Finnish NATO discussion. - Xingda Wei, Rongxin Chen, Yuhan Yang, Rong Chen, Haibo Chen:
A Comprehensive Study on Off-path SmartNIC. - Manuel Cáceres:
Parameterized Algorithms for String Matching to DAGs: Funnels and Beyond. - Zhehu Yuan, Yinqi Sun, Dennis E. Shasha:
Forgetful Forests: high performance learning data structures for streaming data under concept drift. - Nenad Tomasev, Jonathan Leader Maynard, Iason Gabriel:
Manifestations of Xenophobia in AI Systems. - Brian E. Jackson, Jeong Hun Lee, Kevin Tracy, Zachary Manchester:
Data-Efficient Model Learning for Model Predictive Control with Jacobian-Regularized Dynamic Mode Decomposition. - Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane:
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. - Loic Themyr, Clément Rambour, Nicolas Thome, Toby Collins, Alexandre Hostettler:
Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation. - Piyush K. Sharma, Erin G. Zaroukian, Derrik E. Asher, Bryson Howell:
Emergent Behaviors in Multi-Agent Target Acquisition. - Manuel Brenner, Georgia Koppe, Daniel Durstewitz:
Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems. - Shangsheng Wen, Yingcong Chen:
Modern Location-based Service Technologies: Visible Light Positioning. - Jie Song, Marc Cheah-Mane, Eduardo Prieto-Araujo, Oriol Gomis-Bellmunt:
An Effective Methodology for Short-Circuit Calculation of Power Systems Dominated by Power Electronics Converters Considering Unbalanced Voltage Conditions and Converter Limits. - Ivan Puddu, Moritz Schneider, Daniele Lain, Stefano Boschetto, Srdjan Capkun:
On (the Lack of) Code Confidentiality in Trusted Execution Environments. - Ashish Singh, Michael J. Jones, Erik G. Learned-Miller:
EVAL: Explainable Video Anomaly Localization. - Li-Hsiang Shen, Kai-Ten Feng, Lajos Hanzo:
Five Facets of 6G: Research Challenges and Opportunities. - Juntao Jiang, Yuan Niu, Yi Tao:
The First IEEE UV2022 Mathematical Modelling Competition: Backgrounds and Problems. - Erwan Plantec, Gautier Hamon, Mayalen Etcheverry, Pierre-Yves Oudeyer, Clément Moulin-Frier, Bert Wang-Chak Chan:
Flow Lenia: Mass conservation for the study of virtual creatures in continuous cellular automata. - Yanbing Wang, Derek Gloudemans, Zi Nean Teoh, Lisa Liu, Gergely Zachár, William Barbour, Daniel B. Work:
Automatic vehicle trajectory data reconstruction at scale. - Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele:
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. - Chris Sanchez, Zheyuan Zhang:
The Effects of In-domain Corpus Size on pre-training BERT. - Olga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz:
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning. - Muhammad Haris, Markus Stocker, Sören Auer:
Scholarly Knowledge Extraction from Published Software Packages. - Rashmi Gangadharaiah, Balakrishnan Narayanaswamy:
Zero-Shot Learning for Joint Intent and Slot Labeling. - Lisa Koopmans, Maruf A. Dhali, Lambert Schomaker:
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts. - Madhuvanti Muralikrishnan, Amr Hilal, Chreston Miller, Dina Smith-Glaviana:
Using Natural Language Processing to Predict Costume Core Vocabulary of Historical Artifacts. - Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. - Zoran Majkic:
Intensional First Order Logic for Strong-AI Generation of Robots. - Jack Kosaian, Amar Phanishayee:
A Study on the Intersection of GPU Utilization and CNN Inference. - Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. - Shinhyeok Oh, HyeongRae Noh, Yoonseok Hong, Insoo Oh:
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis. - Qiang Zou:
Brief on tool path generation/optimization methods for multi-axis CNC machining. - Kaizheng Wang, Xiao Xu, Xun Yu Zhou:
Variable Clustering via Distributionally Robust Nodewise Regression. - Maria Vlasiou:
Queues on interacting networks. - Parvin Malekzadeh, Konstantinos N. Plataniotis:
Combining information-seeking exploration and reward maximization: Unified inference on continuous state and action spaces under partial observability. - Dario Tagliaferri, Marouan Mizmizi, Silvia Mura, Francesco Linsalata, Davide Scazzoli, Damiano Badini, Maurizio Magarini, Umberto Spagnolini:
Integrated Sensing and Communication System via Dual-Domain Waveform Superposition. - Laurent Boué, Pratap Kunireddy, Pavle Subotic:
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects. - Sandeep Tyagi:
High precision computation and a new asymptotic formula for the generalized Stieltjes constants. - Steve Mann, Yu Yuan, Tom Furness, Joseph A. Paradiso, Thomas M. Coughlin:
Beyond the Metaverse: XV (eXtended meta/uni/Verse). - Kaidi Xu, Nguyen Van Huynh, Geoffrey Ye Li:
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet. - Hugo Paquet:
Bi-invariance for Uniform Strategies on Event Structures. - Sk Adnan Hassan, Zainab Aamir, Dongyoon Lee, James C. Davis, Francisco Servant:
Improving Developers' Understanding of Regex Denial of Service Tools through Anti-Patterns and Fix Strategies. - Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. - Henry von Wahl, Thomas Wick:
A high-precision framework for phase-field fracture interface reconstructions with application to Stokes fluid-filled fracture surrounded by an elastic medium. - Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. - Hedongliang Liu, Hengjia Wei, Antonia Wachter-Zeh, Moshe Schwartz:
Linearized Reed-Solomon Codes with Support-Constrained Generator Matrix. - Nikolaos Antoniou, Efthymios Georgiou, Alexandros Potamianos:
Alternating Objectives Generates Stronger PGD-Based Adversarial Attacks. - Lars Bengel, Elfia Bezou-Vrakatseli, Lydia Blümel, Federico Castagna, Giulia D'Agostino, Daphne Odekerken, Minal Suresh Patil, Jordan Robinson, Hao Wu, Andreas Xydis:
Online Handbook of Argumentation for AI: Volume 3. - (Withdrawn) Beyond Square-root Error: New Algorithms for Differentially Private All Pairs Shortest Distances.
- Dimitri P. Bertsekas:
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation. - Saddam Hussain Khan, Wasi Ullah:
A New Deep Boosted CNN and Ensemble Learning based IoT Malware Detection. - Caleb Ziems, William Held, Jingfeng Yang, Diyi Yang:
Multi-VALUE: A Framework for Cross-Dialectal English NLP. - Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic:
FlexiViT: One Model for All Patch Sizes. - Daniel Alabi, Pravesh K. Kothari, Pranay Tankala, Prayaag Venkat, Fred Zhang:
Privately Estimating a Gaussian: Efficient, Robust and Optimal. - Yunqi Wang, Yang Li, Qingjiang Shi, Yik-Chung Wu:
Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks. - Francesco Pierri:
Political advertisement on Facebook and Instagram in the run-up to 2022 Italian general election. - Nidhi Sinha, Teena Jangid, Amit M. Joshi, Saraju P. Mohanty:
iCardo: A Machine Learning Based Smart Healthcare Framework for Cardiovascular Disease Prediction. - Sean McKeown, William J. Buchanan:
Hamming Distributions of Popular Perceptual Hashing Techniques. - Henry Durojaye, Oluwaukola Raji:
Impact of State and State Sponsored Actors on the Cyber Environment and the Future of Critical Infrastructure. - Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen:
Redefining Relationships in Music. - Anabella C. Doctor:
Integrated Educational Management Tool for Adamson University. - AbdulMalek Baitulmal, Nadia Adem:
Why Should and How Can Quantum Technologies Be Leveraged at National Levels? - Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan M. Levitt:
Can REF output quality scores be assigned by AI? Experimental evidence. - Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li:
Are Multimodal Models Robust to Image and Text Perturbations? - Michael Tschannen, Basil Mustafa, Neil Houlsby:
Image-and-Language Understanding from Pixels Only. - Tarikul Islam Papon, Abdul Wasay:
Silhouette: Toward Performance-Conscious and Transferable CPU Embeddings. - Tuomas Laakkonen, Konstantinos Meichanetzidis, John van de Wetering:
A Graphical #SAT Algorithm for Formulae with Small Clause Density. 137-161 - Yikun Bai, Bernhard Schmitzer, Matthew Thorpe, Soheil Kolouri:
Sliced Optimal Partial Transport. - Matt Deitke, Dustin Schwenk, Jordi Salvador, Luca Weihs, Oscar Michel, Eli VanderBilt, Ludwig Schmidt, Kiana Ehsani, Aniruddha Kembhavi, Ali Farhadi:
Objaverse: A Universe of Annotated 3D Objects. - William Held, Christopher Hidey, Fei Liu, Eric Zhu, Rahul Goel, Diyi Yang, Rushin Shah:
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue. - Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov, Peng-Jen Chen, Changhan Wang, Yu-An Chung, Yun Tang, Ann Lee, Shinji Watanabe, Juan Pino:
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units. - Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren:
Real-Time Neural Light Field on Mobile Devices. - Elena Burceanu, Marius Leordeanu:
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time. - Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
Rethinking Vision Transformers for MobileNet Size and Speed. - Omar Shaikh, Hongxin Zhang, William Held, Michael S. Bernstein, Diyi Yang:
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning. - Bowen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen:
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation. - Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan:
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. - Yufan Ren, Fangjinhua Wang, Tong Zhang, Marc Pollefeys, Sabine Süsstrunk:
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction. - Can Wang, Ruixiang Jiang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao:
NeRF-Art: Text-Driven Neural Radiance Fields Stylization. - Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. - Zeljko Kraljevic, Daniel Bean, Anthony Shek, Rebecca Bendayan, Joshua Au Yeung, Alexander Deng, Alfie Baston, Jack Ross, Esther Idowu, James T. Teo, Richard J. B. Dobson:
Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records. - Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosiute, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemí Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, Jared Kaplan:
Constitutional AI: Harmlessness from AI Feedback. - Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. - Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour:
DFEE: Interactive DataFlow Execution and Evaluation Kit. - Alexandre Blanco-Gonzalez, Alfonso Cabezon, Alejandro Seco-Gonzalez, Daniel Conde-Torres, Paula Antelo-Riveiro, Ángel Piñeiro, Rebeca García-Fandiño:
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies. - Xunzhu Tang, Rujie Zhu, Tiezhu Sun, Shi Wang:
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification. - Benjamin Steenhoek, Wei Le, Hongyang Gao:
DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection. - Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le:
An Empirical Study of Deep Learning Models for Vulnerability Detection. - Noor Fazilla Abd Yusof, Chenghua Lin:
Routine Outcome Monitoring in Psychotherapy Treatment using Sentiment-Topic Modelling Approach. - Sachin Shivakumar, Amritam Das, Matthew M. Peet:
Representation of linear PDEs with spatial integral terms as Partial Integral Equations. - Denis Emelin, Daniele Bonadiman, Sawsan Alqahtani, Yi Zhang, Saab Mansour:
Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems. - Khondoker Murad Hossain, Tim Oates:
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks. - Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. - Oleksandr Balabanov, Bernhard Mehlig, Hampus Linander:
Bayesian posterior approximation with stochastic ensembles. - Zachariah P. Beck, Brandon Alpert, Alexander J. Bowman, William R. Watson, Adrian Buganza Tepole:
Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gaming. - J. Frédéric Bonnans, Kang Liu, Laurent Pfeiffer:
Error estimates of a theta-scheme for second-order mean field games. - Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou:
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. - Zeqian Li, Keyu Qiu, Chenxu Jiao, Wen Zhu, Haoran Tang:
WEKA-Based: Key Features and Classifier for French of Five Countries. - Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao:
Efficient Long Sequence Modeling via State Space Augmented Transformer. - Nicolás Carro, David Mora, Jesus Vellojin:
A finite element model for concentration polarization and osmotic effects in a membrane channel. - Petar Radanliev, David De Roure, Pete Burnap, Omar Santos:
Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things. - Viresh Patel, Guus Regts:
Approximate counting using Taylor's theorem: a survey. - Nathan Goulet, Beshah Ayalew:
Distributed Maneuver Planning with Connected and Automated Vehicles for Boosting Traffic Efficiency. - Nathan Pemberton, Anton Zabreyko, Zhoujie Ding, Randy H. Katz, Joseph Gonzalez:
Kernel-as-a-Service: A Serverless Interface to GPUs. - Rodrigo Henriquez-Auba, José Daniel Lara, Duncan S. Callaway:
Small-Signal Stability of Load and Network Dynamics on Grid-Forming Inverters. - Kristofer D. Kusano, Kurt Beatty, Scott Schnelle, Francesca Favaro, Cam Crary, Trent Victor:
Collision Avoidance Testing of the Waymo Automated Driving System. - Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang:
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting. - Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen:
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. - Letitia Parcalabescu, Anette Frank:
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks. - Yung-Fu Chen, Anish Arora:
QF-MAC: Adaptive, Local Channel Hopping for Interference Avoidance in Wireless Meshes. - Nathan Goulet, Qian Wang, Beshah Ayalew:
Probabilistic Constraint Tightening Techniques for Trajectory Planning with Predictive Control. - Harsh Lara, Manoj Tiwari:
Evaluation of Synthetic Datasets for Conversational Recommender Systems. - Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D'Souza, Aditya Kanade:
BNSynth: Bounded Boolean Functional Synthesis. - Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro:
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs. - Anna C. Marbut, Katy McKinney-Bock, Travis J. Wheeler:
Reliable Measures of Spread in High Dimensional Latent Spaces. - Jun Wu, Jingrui He, Elizabeth A. Ainsworth:
Non-IID Transfer Learning on Graphs. - Willem Heijltjes:
The Functional Machine Calculus. - Hyun Chul Yoon, S. M. Mallikarjunaiah, Dambaru Bhatta:
Preferential stiffness and the crack-tip fields of an elastic porous solid based on the density-dependent moduli model. - Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Local Branching Relaxation Heuristics for Integer Linear Programs. - Gayan K. Kulatilleke, Shekhar S. Chandra, Marius Portmann:
NBC-Softmax : Darkweb Author fingerprinting and migration tracking. - Tiejin Chen, Yicheng Tao:
Learning Sparsity and Randomness for Data-driven Low Rank Approximation. - Hao Yan, Yuhong Guo:
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. - Christos N. Mavridis, John S. Baras:
Multi-Resolution Online Deterministic Annealing: A Hierarchical and Progressive Learning Architecture. - Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. - Devin C. Jean, Suk Jai Seo:
Fault-Tolerant Locating-Dominating sets with Error-correction. - Andrew Lee, David Wu, Emily Dinan, Mike Lewis:
Improving Chess Commentaries by Combining Language Models with Symbolic Reasoning Engines. - Oliver Johnson, Beicheng Lou, Janet Zhong, Andrey Kurenkov:
Saved You A Click: Automatically Answering Clickbait Titles. - Rama Cont, Alain Rossier, Renyuan Xu:
Asymptotic Analysis of Deep Residual Networks. - Muhammad Osama, Serban D. Porumbescu, John D. Owens:
Essentials of Parallel Graph Analytics. - Wenyue Hua, Yuchen Zhang, Zhe Chen, Josie Li, Melanie Weber:
LegalRelectra: Mixed-domain Language Modeling for Long-range Legal Text Comprehension. - Jiaxuan Li, Richard Futrell:
A unified information-theoretic model of EEG signatures of human language processing. - Lakshmi Prasanna Kumar, Arman Kabiri:
Meeting Summarization: A Survey of the State of the Art. - Mohamad Hakam Shams Eddin, Ribana Roscher, Juergen Gall:
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting. - Froilán M. Dopico, Vanni Noferini:
The DL(P) vector space of pencils for singular matrix polynomials. - Harsh Goel, Laura Jarin-Lipschitz, Saurav Agarwal, Sandeep Manjanna, Vijay Kumar:
Reinforcement Learning for Agile Active Target Sensing with a UAV. - Gabrielle Gauthier Melançon, Orlando Marquez Ayala, Lindsay Brin, Chris Tyler, Frédéric Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le:
Azimuth: Systematic Error Analysis for Text Classification. - Wenhui Cui, Haleh Akrami, Anand A. Joshi, Richard M. Leahy:
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs. - Qing Huang, Dianshu Liao, Zhenchang Xing, Zhiqiang Yuan, Qinghua Lu, Xiwei Xu, Jiaxing Lu:
SE Factual Knowledge in Frozen Giant Code Model: A Study on FQN and its Retrieval. - Fangshi Zhou, Tianming Zhao:
A Survey on Biometrics Authentication. - W. Randolph Franklin, Salles Viana Gomes de Magalhães:
Implementing Simulation of Simplicity for geometric degeneracies. - Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li:
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. - Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott:
Multi-Agent Patrolling with Battery Constraints through Deep Reinforcement Learning. - Tyler G. R. Reid, Andrew Neish, Brian Manning:
Localization & Mapping Requirements for Level 2+ Autonomous Vehicles. - Ashish Kumar, Ilya Kuzovkin:
Offline Robot Reinforcement Learning with Uncertainty-Guided Human Expert Sampling. - Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler:
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments. - Zichen Zhang, Jun Jin, Martin Jägersand, Jun Luo, Dale Schuurmans:
A Simple Decentralized Cross-Entropy Method. - Haoyang Hu, Songze Li, Minquan Cheng, Youlong Wu:
Coded Distributed Computing for Hierarchical Multi-task Learning. - Diksha Goel, Hong Shen, Hui Tian, Mingyu Guo:
Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural Networks. - Sonia Sabir, Inayat Ali, Eraj Khan:
H-LPS: a hybrid approach for user's location privacy in location-based services. - Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. - Umair Zulfiqar, Xin Du, Qiuyan Song, Zhi-Hua Xiao, Victor Sreeram:
Relative Error-based Time-limited H2 Model Order Reduction via Oblique Projection. - Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Robust Saliency Guidance for Data-free Class Incremental Learning. - Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu:
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers. - Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu:
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. - Heting Liu, Fang He, Guohong Cao:
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization. - Jinlong Li, Runsheng Xu, Xinyu Liu, Jin Ma, Zicheng Chi, Jiaqi Ma, Hongkai Yu:
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication. - Mohsen Shirali, Tobias Tefke, Ralf C. Staudemeyer, Henrich C. Pöhls:
A Survey on Anonymous Communication Systems with a Focus on Dining Cryptographers Networks. - Jean-Thomas Baillargeon, Hélène Cossette, Luc Lamontagne:
Preventing RNN from Using Sequence Length as a Feature. - Dylan Sam, Min Bai, Tristan McKinney, Li Erran Li:
Improving self-supervised representation learning via sequential adversarial masking. - Yu-Ting Cheng, Mathias Funk, Rung-Huei Liang, Lin-Lin Chen:
Seeing through Things: Exploring the Design Space of Privacy-Aware Data-Enabled Objects. - Bolin Lai, Hongxin Zhang, Miao Liu, Aryan J. Pariani, Fiona Ryan, Wenqi Jia, Shirley Anugrah Hayati, James M. Rehg, Diyi Yang:
Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games. - Jie Guo, Meiting Wang, Yan Zhou, Bin Song, Yuhao Chi, Wei Fan, Jianglong Chang:
HGAN: Hierarchical Graph Alignment Network for Image-Text Retrieval. - Siwen Luo, Feiqi Cao, Felipe Nunez, Zean Wen, Josiah Poon, Soyeon Caren Han:
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering. - Igor Chollet, Louis Lagardère, Jean-Philip Piquemal:
ANKH: A Generalized O(N) Interpolated Ewald Strategy for Molecular Dynamics Simulations. - Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz:
ALERT: Adapting Language Models to Reasoning Tasks. - Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. - Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin:
Robust Learning Protocol for Federated Tumor Segmentation Challenge. - Alex Elchesen, Iryna Hartsock, Jose A. Perea, Tatum Rask:
Learning on Persistence Diagrams as Radon Measures. - Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye:
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. - Hao Xie, Bowen Gu, Dong Li:
Exploring Hybrid Active-Passive RIS-Aided MEC Systems: From the Mode-Switching Perspective. - Aakash Sachdeva, Bhupinder Singh, Rahul Prasad, Nakshatra Goel, Ronit Mondal, Jatin Munjal, Abhishek Bhatnagar, Manjeet Dahiya:
Metaheuristic for Hub-Spoke Facility Location Problem: Application to Indian E-commerce Industry. - Hager Radi, Josiah P. Hanna, Peter Stone, Matthew E. Taylor:
Safe Evaluation For Offline Learning: Are We Ready To Deploy? - Mohammad Vahab, B. Shahbodagh, Ehsan Haghighat, Nasser Khalili:
Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction. - Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin:
Controllable Text Generation via Probability Density Estimation in the Latent Space. - Christodoulos Skouroumounis, Ioannis Krikidis:
Fluid Antenna with Linear MMSE Channel Estimation for Large-Scale Cellular Networks. - Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? - Huong Ha:
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems. - Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma:
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? - Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai:
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. - Xinyu Zhou, Jun Zhao:
Mobile Augmented Reality with Federated Learning in the Metaverse. - Zinuo Li, Xuhang Chen, Chi-Man Pun, Shuqiang Wang:
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement. - Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee:
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields. - Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong:
Convolution-enhanced Evolving Attention Networks. - Haoshu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu:
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains. - Olivier Pradelle, Raphaëlle Chaine, David Wendland, Julie Digne:
Lightweight integration of 3D features to improve 2D image segmentation. - Ha-Thanh Nguyen, Vu D. Tran, Ngoc-Cam Le, Thi-Thuy Le, Quang-Huy Nguyen, Le-Minh Nguyen, Ken Satoh:
Law to Binary Tree - An Formal Interpretation of Legal Natural Language. - Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft:
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings. - Mingchao Liang, Florian Meyer:
Neural Enhanced Belief Propagation for Multiobject Tracking. - Shaowei Zhu, Wanli Lyu, Bin Li, Zhaoxia Yin, Bin Luo:
Adversarial Example Defense via Perturbation Grading Strategy. - Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon:
SplitGP: Achieving Both Generalization and Personalization in Federated Learning. - Chaoyu Quan, Shijie Wang, Xu Wu:
Roundoff error problem in L2-type methods for time-fractional problems. - Rongzhi Gu, Shi-Xiong Zhang, Yuexian Zou, Dong Yu:
Towards Unified All-Neural Beamforming for Time and Frequency Domain Speech Separation. - Junzhuo Li, Xinwei Wu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong:
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework. - Tobias Thoma, Paul Kotyczka:
Structure preserving discontinuous Galerkin approximation of one-dimensional port-Hamiltonian systems. - Christine de Kock, Tom Stafford, Andreas Vlachos:
How to disagree well: Investigating the dispute tactics used on Wikipedia. - Weilong Dong, Xinwei Wu, Junzhuo Li, Shuangzhi Wu, Chao Bian, Deyi Xiong:
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks. - Sungsu Hur, Inkyu Shin, KwanYong Park, Sanghyun Woo, In So Kweon:
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation. - Junha Song, KwanYong Park, Inkyu Shin, Sanghyun Woo, In So Kweon:
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation. - Bohan Zhao, Wenfei Wu, Wei Xu:
NetRPC: Enabling In-Network Computation in Remote Procedure Calls. - Niels Schlüsener, Michael Bücker:
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning Models. - Jonas Schuett:
Three lines of defense against risks from AI. - Dong Luo, Pengbo Bo:
Geometric Rectification of Creased Document Images based on Isometric Mapping. - Chen Diao, Ning Cai:
Temporal Variation Measure Analysis: An Improved Second-Order Difference Plot. - Yilin Ning, Mingxuan Liu, Nan Liu:
Shapley variable importance cloud for machine learning models. - Tareq Uz Zaman, Nicolas Nytko, Ali Taghibakhshi, Scott P. MacLachlan, Luke N. Olson, Matthew West:
Generalizing Reduction-Based Algebraic Multigrid. - Yufeng Zheng, Wang Yifan, Gordon Wetzstein, Michael J. Black, Otmar Hilliges:
PointAvatar: Deformable Point-based Head Avatars from Videos. - Alex Tamkin, Margalit Glasgow, Xiluo He, Noah D. Goodman:
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning. - Zhanbei Cui, Yu Liao, Tongda Xu, Yan Wang:
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling. - Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Instance-specific Label Distribution Regularization for Learning with Label Noise. - Kamil Bialik, Marcin Kowalczyk, Krzysztof Blachut, Tomasz Kryjak:
Fast-moving object counting with an event camera. - Daniele Di Pompeo, Michele Tucci:
Search Budget in Multi-Objective Refactoring Optimization: a Model-Based Empirical Study. - Kamil Jeziorek, Tomasz Kryjak:
Traffic sign detection and recognition using event camera image reconstruction. - Rowan Hall Maudslay, Simone Teufel:
Homonymy Information for English WordNet. - Lewin Ernst, Karsten Urban:
A certified wavelet-based physics-informed neural network for the solution of parameterized partial differential equations. - Rodrigo Agerri, Eneko Agirre:
Lessons learned from the evaluation of Spanish Language Models. - Rowan Hall Maudslay, Simone Teufel:
Metaphorical Polysemy Detection: Conventional Metaphor meets Word Sense Disambiguation. - Dilara Keküllüoglu, Yasemin Acar:
"We are a startup to the core": A qualitative interview study on the security and privacy development practices in Turkish software startups. - Prahladh Harsha, Tulasimohan Molli, Ashutosh Shankar:
Criticality of AC0 formulae. - Harald Garcke, Robert Nürnberg, Quan Zhao:
Structure-preserving discretizations of two-phase Navier-Stokes flow using fitted and unfitted approaches. - Jean-Thomas Baillargeon, Luc Lamontagne:
Reducing Sequence Length Learning Impacts on Transformer Models. - Mingyao Cui, Linglong Dai:
Near-Field Wideband Channel Estimation for Extremely Large-Scale MIMO. - Jeyhun Rustamov, Luisa Fennert, Nico Hoffmann:
LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla's LiFePo4 EV Battery. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Exponentially Stable Adaptive Observation without System Representation in Observable Form. - Fatemeh Sadat Masoumi, Mohammad Bahrani:
Utilizing distilBert transformer model for sentiment classification of COVID-19's Persian open-text responses. - Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun:
Decoder Tuning: Efficient Language Understanding as Decoding. - Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adámek, Eric Malmi, Aliaksei Severyn:
Teaching Small Language Models to Reason. - Yakun Ju, Kin-Man Lam, Wuyuan Xie, Huiyu Zhou, Junyu Dong, Boxin Shi:
Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey. - Maarten Vandersteegen, Wouter Reusen, Kristof Van Beeck, Toon Goedemé:
Person Detection Using an Ultra Low-resolution Thermal Imager on a Low-cost MCU. - Anna Rita Di Fazio, Arturo Losi, Mario Russo, Filippo Cacace, Francesco Conte, Giulio Iannello, Gianluca Natrella, Matteo Saviozzi:
Methods and Tools for the Management of Renewable Energy Communities: the ComER project. - Bo Wei, Mingcen Gao, Chengwen Luo, Sen Wang, Jin Zhang:
rWiFiSLAM: Effective WiFi Ranging based SLAM System in Ambient Environments. - Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis:
Fake it till you make it: Learning(s) from a synthetic ImageNet clone. - Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker:
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. - Ilaria Castellano, Anna Giordano Bruno, Nicolò Zava:
Weakly weighted generalised quasi-metric spaces and semilattices. - Javier Cabrera-Arteaga, Martin Monperrus, Tim Toady, Benoit Baudry:
WebAssembly Diversification for Malware Evasion. - Idoia Eizaguirre-Peral, Lander Segurola-Gil, Francesco Zola:
Conditional Generative Adversarial Network for keystroke presentation attack. - Hadar Shavit, Filip Jatelnicki, Pol Mor-Puigventós, Wojtek Kowalczyk:
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search. - Kevin T. Logan, Jan Marius Stürmer, Tim M. Müller, Peter F. Pelz:
Comparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems. - Tianyu Shi, Zhicheng Wang, Liyin Xiao, Cong Liu:
Fast Rule-Based Decoding: Revisiting Syntactic Rules in Neural Constituency Parsing. - Muriël de Groot, Mohammad Aliannejadi, Marcel R. Haas:
Experiments on Generalizability of BERTopic on Multi-Domain Short Text. - Ru-Fen Jheng, Tsung-Han Wu, Jia-Fong Yeh, Winston H. Hsu:
Free-form 3D Scene Inpainting with Dual-stream GAN. - Yimian Dai, Xiang Li, Fei Zhou, Yulei Qian, Yaohong Chen, Jian Yang:
One-Stage Cascade Refinement Networks for Infrared Small Target Detection. - Rafik Hadfi, Ahmed Moustafa, Kai Yoshino, Takayuki Ito:
Best-Answer Prediction in Q&A Sites Using User Information. - Sicheng Li, Hao Li, Yue Wang, Yiyi Liao, Lu Yu:
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory. - Lorenz Kummer, Kevin Sidak:
Neural Network Augmented Compartmental Pandemic Models. - Iosif Iulian Petrila:
Implementation of general formal translators. - Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison:
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks. - Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk, Marta R. Costa-jussà:
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric. - Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang:
Semantics-Empowered Communication: A Tutorial-cum-Survey. - Esaú Villatoro-Tello, Srikanth R. Madikeri, Juan Zuluaga-Gomez, Bidisha Sharma, Seyyed Saeed Sarfjoo, Iuliia Nigmatulina, Petr Motlícek, Alexei V. Ivanov, Aravind Ganapathiraju:
Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks. - Xiaoxiang Han, Yiman Liu, Gang Liu, Qiaohong Liu:
LEDCNet: A Lightweight and Efficient Semantic Segmentation Algorithm Using Dual Context Module for Extracting Ground Objects from UAV Aerial Remote Sensing Images. - Poulomee Ghosh, Shubhendu Bhasin:
Adaptive Tracking Control of Uncertain Euler-Lagrange Systems with State and Input Constraints. - Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. - Congqi Cao, Xin Zhang, Shizhou Zhang, Peng Wang, Yanning Zhang:
Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance. - Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller:
Robust Explanation Constraints for Neural Networks. - Sirawich Vachmanus, Takanori Emaru, Ankit A. Ravankar, Yukinori Kobayashi:
Road Detection in Snowy Forest Environment using RGB Camera. - Amani S. Abumansour, Arkaitz Zubiaga:
Check-worthy Claim Detection across Topics for Automated Fact-checking. - Niels van der Weide:
The Formal Theory of Monads, Univalently. - Michael Benedikt, Maxime Buron, Stefano Germano, Kevin Kappelmann, Boris Motik:
Rewriting the Infinite Chase. - James Pope, Jinyuan Liang, Vijay Kumar, Francesco Raimondo, Xinyi Sun, Ryan McConville, Thomas Pasquier, Robert J. Piechocki, George Oikonomou, Bo Luo, Dan Howarth, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan:
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. - Ziyi Chang, Edmund J. C. Findlay, Haozheng Zhang, Hubert P. H. Shum:
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models. - Hector M. Perez-Villeda, Justus H. Piater, Matteo Saveriano:
Learning and Extrapolation of Robotic Skills using Task-Parameterized Equation Learner Networks. - Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras:
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning. - Rongxing Hu, Kai Ye, Hyeonjin Kim, Han Pyo Lee, Ning Lu, Di Wu, P. J. Rehm:
Design Considerations of a Coordinative Demand Charge Mitigation Strategy. - Juan C. SanMiguel, Jorge Muñoz, Fabio Poiesi:
Detection-aware multi-object tracking evaluation. - James E. Pickering, Keith J. Burnham:
Predicting Autonomous Vehicle Collision Injury Severity Levels for Ethical Decision Making and Path Planning. - Aymeric Blot, Justyna Petke:
A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties. - Euan Ong, Petar Velickovic:
Learnable Commutative Monoids for Graph Neural Networks. - Christian Narváez-Muñoz, Mohammad R. Hashemi, Pavel B. Ryzhakov, Jordi Pons-Prats, Herbert Owen:
Enriched finite element approach for modeling discontinuous electric field in multimaterial problems. - Matyás Bohácek, Michal Bravansky, Filip Trhlík, Václav Moravec:
Fine-grained Czech News Article Dataset: An Interdisciplinary Approach to Trustworthiness Analysis. - Sarthak Anand, Jens-Joris Decorte, Niels Lowie:
Is it Required? Ranking the Skills Required for a Job-Title. - Clemens Linnhoff, Dominik Scheuble, Mario Bijelic, Lukas Elster, Philipp Rosenberger, Werner Ritter, Dengxin Dai, Hermann Winner:
Simulating Road Spray Effects in Automotive Lidar Sensor Models. - Ritu Belani, Jeffrey Flanigan:
Automatic Identification of Motivation for Code-Switching in Speech Transcripts. - Philipp Kern, Marko Kleine Büning, Carsten Sinz:
Optimized Symbolic Interval Propagation for Neural Network Verification. - Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. - Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven Gilmour, Stephen J. Roberts, Chris C. Holmes:
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. - Davide Pigoli, Kieran Baker, Jobie Budd, Lorraine Butler, Harry Coppock, Sabrina Egglestone, Steven G. Gilmour, Chris C. Holmes, David Hurley, Radka Jersakova, Ivan Kiskin, Vasiliki Koutra, Jonathon Mellor, George Nicholson, Joe Packham, Selina Patel, Richard Payne, Stephen J. Roberts, Björn W. Schuller, Ana Tendero Cañadas, Tracey Thornley, Alexander Titcomb:
Statistical Design and Analysis for Robust Machine Learning: A Case Study from COVID-19. - Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp:
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles. - Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak, Steven Skiena:
Provable Fairness for Neural Network Models using Formal Verification. - Luis Maßny, Christoph Hofmeister, Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh:
Nested Gradient Codes for Straggler Mitigation in Distributed Machine Learning. - Yushuo Niu, Ethan Chadwick, Anson W. K. Ma, Qian Yang:
Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing. - Akib Mohammed Khan, Alif Ashrafee, Reeshoon Sayera, Shahriar Ivan, Sabbir Ahmed:
Rethinking Cooking State Recognition with Vision Transformers. - Junyu Mao, Giordano Scarciotti:
Data-Driven Model Reduction by Two-Sided Moment Matching. - Nicolò Ruggeri, Federico Battiston, Caterina De Bacco:
A Principled, Flexible and Efficient Framework for Hypergraph Benchmarking. - Mateusz Pyzik:
Call-By-Name Is Just Call-By-Value with Delimited Control. - David Dale, Elena Voita, Loïc Barrault, Marta R. Costa-jussà:
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. - Tinglong Zhu, Xingming Wang, Xiaoyi Qin, Ming Li:
Source Tracing: Detecting Voice Spoofing. - Martin Matak, Tucker Hermans:
Planning Visual-Tactile Precision Grasps via Complementary Use of Vision and Touch. - Swarnadeep Saha, Xinyan Velocity Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz:
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. - Minhaz Kamal, Fairuz Shaiara, Chowdhury Mohammad Abdullah, Sabbir Ahmed, Tasnim Ahmed, Md. Hasanul Kabir:
Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning. - Anurag Bansal, Oleg Ostap, Miguel Maestre Trueba, Kristopher Perry:
Atrous Space Bender U-Net (ASBU-Net/LogiNet). - H. M. Imran Kays, Khondhaker Al Momin, Menziwokuhle Bandise Thwala, K. K. "Muralee" Muraleetharan, Arif Mohaimin Sadri:
Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm. - C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa:
Planting and Mitigating Memorized Content in Predictive-Text Language Models. - Jiaxin Pei, Aparna Ananthasubramaniam, Xingyao Wang, Naitian Zhou, Jackson Sargent, Apostolos Dedeloudis, David Jurgens:
POTATO: The Portable Text Annotation Tool. - Yuanjie Xia, Mengyao Yuan, Alexandra Dobrea, Chong Li, Hadi Heidari, Nigel Mottram, Rami Ghannam:
Reconfigurable Wearable Antenna for 5G Applications using Nematic Liquid Crystals. - Deokgun Park, Md Ashaduzzaman Rubel Mondol, S. M. Mazharul Islam, Aishwarya Pothula:
Hippocampus-Inspired Cognitive Architecture (HICA) for Operant Conditioning. - Edward Pearce-Crump:
Brauer's Group Equivariant Neural Networks. - Sajjad Nassirpour, Alireza Vahid, Dinh-Thuan Do, Dinesh Bharadia:
Control and Placement of Finite-Resolution Intelligent Surfaces in IoT Systems with Imperfect CSI. - Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang:
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation. - Lasitha Weerakoon, Gurtajbir Singh Herr, Jasmine Blunt, Miao Yu, Nikhil Chopra:
Cartographer_glass: 2D Graph SLAM Framework using LiDAR for Glass Environments. - Junlong Li, Zhuosheng Zhang, Hai Zhao:
Self-Prompting Large Language Models for Open-Domain QA. - Roland Gruber, Nils Reims, Andreas Hempfer, Stefan Gerth, Michael Salamon, Thomas Wittenberg:
An annotated instance segmentation XXL-CT dataset from a historic airplane. - Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang:
GFPose: Learning 3D Human Pose Prior with Gradient Fields. - Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton:
Efficient Conditionally Invariant Representation Learning. - Edward Pearce-Crump:
Connecting Permutation Equivariant Neural Networks and Partition Diagrams. - Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation? - Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma:
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. - Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang:
Attentive Mask CLIP. - Mingjie Wang, Mingze Zhang, Jianxiong Guo, Weijia Jia:
MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Forecasting. - Frederic Guerrero-Solé:
IMAGINE: An Integrated Model of Artificial Intelligence-Mediated Communication Effects. - James L. Crowley, Joëlle L. Coutaz, Jasmin Grosinger, Javier Vázquez-Salceda, Cecilio Angulo, Alberto Sanfeliu, Luca Iocchi, Anthony G. Cohn:
A Hierarchical Framework for Collaborative Artificial Intelligence. - Joaquín Salas, Anamitra Saha, Sai Ravela:
Learning Inter-Annual Flood Loss Risk Models From Historical Flood Insurance Claims and Extreme Rainfall Data. - Feng Qiu, Chengyang Xie, Yu Ding, Wanzeng Kong:
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis. - Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization for Data Agnostic Representation Learning. - Shrouq Gamal, Ahmed A. Hawam, Ahmed M. El-Kassas:
On the Optimum Scenarios for Single Row Equidistant Facility Layout Problem. - Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen:
Hard Sample Aware Network for Contrastive Deep Graph Clustering. - Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia:
Plansformer: Generating Symbolic Plans using Transformers. - Hanlin Zhang, Yifan Zhang, Li Erran Li, Eric P. Xing:
The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning. - Owen Hellum, Marta Kersten-Oertel, Yiming Xiao:
Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality. - Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang:
TopoImb: Toward Topology-level Imbalance in Learning from Graphs. - Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - James A. Michaelov, Benjamin K. Bergen:
'Rarely' a problem? Language models exhibit inverse scaling in their predictions following 'few'-type quantifiers. - Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
An Upper Bound for the Distribution Overlap Index and Its Applications. - Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda:
Speech Aware Dialog System Technology Challenge (DSTC11). - Yannai A. Gonczarowski, Clayton Thomas:
On the Complexities of Understanding Matching Mechanisms. - Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov:
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. - Milad Kazemi, Nicola Paoletti:
Towards Causal Temporal Reasoning for Markov Decision Processes. - Alain Couvreur:
Improved decoding of symmetric rank metric errors. - Naweiluo Zhou, Huan Zhou, Dennis Hoppe:
Containerisation for High Performance Computing Systems: Survey and Prospects. - Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl:
Neural Story Planning. - Shubham D. Sonawani, Yifan Zhou, Heni Ben Amor:
Imitation Learning based Auto-Correction of Extrinsic Parameters for A Mixed-Reality Setup. - Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie:
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. - Baharin Aliashrafi Jodat, Shiva Nejati, Mehrdad Sabetzadeh, Patricio Saavedra:
Learning Non-robustness using Simulation-based Testing: a Network Traffic-shaping Case Study. - Jonathan Francis, Bingqing Chen, Weiran Yao, Eric Nyberg, Jean Oh:
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving. - Daniel Rodriguez-Criado, Pilar Bachiller, George Vogiatzis, Luis J. Manso:
Multi-person 3D pose estimation from unlabelled data. - Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ. - Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges:
A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem. - Ashish Hooda, Matthew Wallace, Kushal Jhunjhunwalla, Earlence Fernandes, Kassem Fawaz:
SkillFence: A Systems Approach to Practically Mitigating Voice-Based Confusion Attacks. - Ninghan Zhong, Kris Hauser:
Attentiveness Map Estimation for Haptic Teleoperation of Mobile Robot Obstacle Avoidance and Approach. - Waqwoya Abebe, Ali Jannesari:
Addressing Data Heterogeneity in Decentralized Learning via Topological Pre-processing. - Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete:
Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review. - Shubham Gupta, Uma D., Ramachandra Hebbar:
Analysis and application of multispectral data for water segmentation using machine learning. - Alex Nichol, Heewoo Jun, Prafulla Dhariwal, Pamela Mishkin, Mark Chen:
Point-E: A System for Generating 3D Point Clouds from Complex Prompts. - Debdeep Bhattacharya, Robert Lipton, Patrick Diehl:
Quasistatic fracture evolution. - Priyank Sharma, Meet Patel, Apoorva Prasad:
A systematic literature review on Internet of Vehicles Security. - Aurelien Bouteiller, George Bosilca:
Implicit Actions and Non-blocking Failure Recovery with MPI. - Zhenyuan Lu:
Multi-Scales Data Augmentation Approach In Natural Language Inference For Artifacts Mitigation And Pre-Trained Model Optimization. - Saad Emshagin, Wayes Koroni Halim, Rasha Kashef:
Short-term Prediction of Household Electricity Consumption Using Customized LSTM and GRU Models. - Raghunandan M. Rao, Don-Roberts Emenonye:
Iterative RNDOP-Optimal Anchor Placement for Beyond Convex Hull ToA-based Localization: Performance Bounds and Heuristic Algorithms. - Benjamin Hall, Andrew Goeden, Sahan Reddy, Timothy Gallion, Charles Koduru, Muhammad Hassan Tanveer:
Occupancy Grid Based Reactive Planner. - Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai:
Latent Variable Representation for Reinforcement Learning. - Omead Pooladzandi, Yiming Zhou:
Improving Levenberg-Marquardt Algorithm for Neural Networks. - Qing En, Yuhong Guo:
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. - David C. Uthus, Jianmo Ni:
RISE: Leveraging Retrieval Techniques for Summarization Evaluation. - Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding:
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. - Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang:
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. - Roozbeh Bazargani, Ladan Fazli, Larry Goldenberg, Martin E. Gleave, Ali Bashashati, Septimiu E. Salcudean:
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images. - Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv:
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving. - Egor Larionov, Marie-Lena Eckert, Katja Wolff, Tuur Stuyck:
Estimating Cloth Elasticity Parameters Using Position-Based Simulation of Compliant Constrained Dynamics. - Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue:
Stateful Switch: Optimized Time Series Release with Local Differential Privacy. - Lam Tran, Thuc Nguyen, Changho Seo, Hyunil Kim, Deokjai Choi:
A Survey on Password Guessing. - Gang Wu, Qiao Chang:
A semi-randomized block Kaczmarz method with simple random sampling for large-scale linear systems with multiple right-hand sides. - Mehrdad Fazli, Heman Shakeri:
Leveraging Wastewater Monitoring for COVID-19 Forecasting in the US: a Deep Learning study. - Haozhe Lei, Quanyan Zhu:
Level-k Meta-Learning for Pedestrian-Aware Self-Driving. - Yimeng Li, Arnab Debnath, Gregory J. Stein, Jana Kosecka:
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation. - Bin Wang, Haizhou Li:
Relational Sentence Embedding for Flexible Semantic Matching. - Sridutt Bhalachandra, Brian Austin, Samuel Williams, Nicholas J. Wright:
Understanding the Impact of Input Entropy on FPU, CPU, and GPU Power. - Wenjun Mei, Julien M. Hendrickx, Ge Chen, Francesco Bullo, Florian Dörfler:
Convergence, Consensus and Dissensus in the Weighted-Median Opinion Dynamics. - Bo Ji, Tianyi Chen:
FSCNN: A Fast Sparse Convolution Neural Network Inference System. - Long Lian, Zhirong Wu, Stella X. Yu:
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. - Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang:
Accurate Open-set Recognition for Memory Workload. - Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen:
Latent Evolution Model for Change Point Detection in Time-varying Networks. - Arkaprava Saha, Xiangyu Ke, Arijit Khan, Cheng Long:
Most Probable Densest Subgraphs. - Isil Guzey, Ozlem Uçar, Nukhet Aladag Ciftdemir, Betul Acunas:
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants. - Jiahuan Li, Shanbo Cheng, Zewei Sun, Mingxuan Wang, Shujian Huang:
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation. - Rob van Glabbeek:
Just Testing. - Tsung-Ming Tai, Giuseppe Fiameni, Cheng-Kuang Lee, Simon See, Oswald Lanz:
Inductive Attention for Video Action Anticipation. - Xiangning Song, Zhenhao Ji, Jiamin Li, Pengcheng Zhu, Dongming Wang, Xiaohu You:
Performance Analysis and Optimization of Network-Assisted Full-Duplex Systems under Low-Resolution ADCs. - Ajoy Mondal, Rohit Saluja, C. V. Jawahar:
Towards Robust Handwritten Text Recognition with On-the-fly User Participation. - Kathrin Spendier, Michaela Szölgyenyi:
Convergence of the tamed-Euler-Maruyama method for SDEs with discontinuous and polynomially growing drift. - Rui Meng, Ye Liu, Semih Yavuz, Divyansh Agarwal, Lifu Tu, Ning Yu, Jianguo Zhang, Meghana Bhat, Yingbo Zhou:
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. - Shi Jin, Yiwen Lin:
Asymptotic-preserving schemes for kinetic-fluid modeling of mixture flows with distinct particle sizes. - Junyan Cao, Yan Hong, Li Niu:
Painterly Image Harmonization in Dual Domains. - Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. - Lingjie Li, Manlin Xuan, Qiuzhen Lin, Min Jiang, Zhong Ming, Kay Chen Tan:
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection. - Jean-Paul Allouche, Michel Mendès France:
Automata and automatic sequences. - Kas Kniesmeijer, Murat Kirtay:
iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot. - Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu:
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. - Gyeongnyeon Kim, Wooseok Jang, Gyuseong Lee, Susung Hong, Junyoung Seo, Seungryong Kim:
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models. - Alapan Kuila, Sudeshna Sarkar:
'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage. - Salman Mohebi, Andrea Zanella, Michele Zorzi:
Pilot Reuse in Cell-Free Massive MIMO Systems: A Diverse Clustering Approach. - Leo Egghe, Ronald Rousseau:
The generalized e-bundle. - Jan Bayer, Yevheniya Nosyk, Olivier Hureau, Simon Fernandez, Ivett Paulovics, Andrzej Duda, Maciej Korczynski:
Study on Domain Name System (DNS) Abuse: Technical Report. - Barak Or, Itzik Klein:
ProNet: Adaptive Process Noise Estimation for INS/DVL Fusion. - Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Jianxin Wang:
Modeling Global Distribution for Federated Learning with Label Distribution Skew. - Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. - Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng:
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. - Qijian Zhang, Junhui Hou, Yue Qian, Yiming Zeng, Juyong Zhang, Ying He:
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis. - Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan:
Human Image Generation: A Comprehensive Survey. - Piotr Rybak, Piotr Przybyla, Maciej Ogrodniczuk:
Improving Question Answering Performance through Manual Annotation: Costs, Benefits and Strategies. - Neha Makhija, Wolfgang Gatterbauer:
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations. - Abdelhameed Sharaf, S. M. Eladl, A. Nasr, Mohamed Serry:
Design and Simulation of a Micro-coiled Digitally-Controlled Variable Inductor with a Monolithically Integrated MEMS Switch. - Lukas Brunke, Siqi Zhou, Angela P. Schoellig:
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems. - Bing Wang, Yan Gao, Zhoujun Li, Jian-Guang Lou:
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL. - Rukai Wei, Yu Liu, Jingkuan Song, Yanzhao Xie, Ke Zhou:
Hyperbolic Hierarchical Contrastive Hashing. - Md Mainuddin, Zhenhai Duan, Yingfei Dong, Shaeke Salman, Tania Taami:
IoT Device Identification Based on Network Traffic Characteristics. - Yifan Wang, Zewei Sun, Shanbo Cheng, Weiguo Zheng, Mingxuan Wang:
Controlling Styles in Neural Machine Translation with Activation Prompt. - Xingshan Zeng, Liangyou Li, Qun Liu:
AdaTranS: Adapting with Boundary-based Shrinking for End-to-End Speech Translation. - Michael Herty, Niklas Kolbe:
Data-Driven Models for Traffic Flow at Junctions. - Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth:
Claim Optimization in Computational Argumentation. - Xiaofeng Wang, Zheng Zhu, Yunpeng Zhang, Guan Huang, Yun Ye, Wenbo Xu, Ziwei Chen, Xingang Wang:
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark. - Taha Tekdogan:
Analyzing the Traffic of MANETs using Graph Neural Networks. - Richard Archibald, Feng Bao, Yanzhao Cao, Hui Sun:
Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent. - Lior Vassertail, Omer Levy:
A Simple Baseline for Beam Search Reranking. - Ashish Sharma, Harshil Bhatt:
Increasing Physical Layer Security through Hyperchaos in VLC Systems. - Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Joint Information Extraction with Cross-Task and Cross-Instance High-Order Modeling. - Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith:
On Noisy Evaluation in Federated Hyperparameter Tuning. - Joshua L. Barnett, Charbel Farhat, Yvon Maday:
Neural-Network-Augmented Projection-Based Model Order Reduction for Mitigating the Kolmogorov Barrier to Reducibility of CFD Models. - Yuchuan Huang, Chen Hu:
Toward Data Heterogeneity of Federated Learning. - Shaomu Tan, Denis Paperno:
Towards leveraging latent knowledge and Dialogue context for real-world conversational question answering. - Zichen Zhang, Johannes Kirschner, Junxi Zhang, Francesco Zanini, Alex Ayoub, Masood Dehghan, Dale Schuurmans:
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off. - Iman Hosseini, Brendan Dolan-Gavitt:
Beyond the C: Retargetable Decompilation using Neural Machine Translation. - Jinhua Liang, Huy Phan, Emmanouil Benetos:
Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition. - K. Niranjan Kumar, Irfan Essa, Sehoon Ha:
Cascaded Compositional Residual Learning for Complex Interactive Behaviors. - Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser:
Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design. - Alejandro Álvarez-Ayllón, Manuel Palomo-Duarte, Juan Manuel Dodero:
Two-sample test based on Self-Organizing Maps. - Kun Huang, Edward S. Hu, Dinesh Jayaraman:
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning. - Muhammad Osama:
GPU Load Balancing. - Salah A. Faroughi, Pingki Datta, Seyed Kourosh Mahjour, Shirko Faroughi:
Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media. - Shaopeng Wei, Yu Zhao:
Graph Learning: A Comprehensive Survey and Future Directions. - Johannes Schneider:
Foundation models in brief: A historical, socio-technical focus. - Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa:
A Brief Survey on Person Recognition at a Distance. - Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal:
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. - Yuan Yao, Yuanhan Zhang, Zhenfei Yin, Jiebo Luo, Wanli Ouyang, Xiaoshui Huang:
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images. - Hamed Yazdanpanah, Augusto C. M. Silva, Murilo Guedes, Hugo M. P. Morales, Leandro dos Santos Coelho, Fernando G. Moro:
Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models. - Dev Jasuja, Paul J. Atzberger:
Magnus Exponential Integrators for Stiff Time-Varying Stochastic Systems. - Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. - Sridhar Mahadevan:
A Layered Architecture for Universal Causality. - Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement. - Himani Sinhmar, Hadas Kress-Gazit:
Decentralized Control of Minimalistic Robotic Swarms For Guaranteed Target Encapsulation. - Ning Wang, Jiangrong Xie, Hang Luo, Qinglin Cheng, Jihao Wu, Mingbo Jia, Linlin Li:
Efficient Image Captioning for Edge Devices. - Ajay Patel, Nicholas Andrews, Chris Callison-Burch:
Low-Resource Authorship Style Transfer with In-Context Learning. - Yu Wang, Hongxia Jin:
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset. - Loc Vu-Quoc, Alexander Humer:
Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics. - Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint:
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. - Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment. - SatyaJaswanth Badri, Mukesh Saini, Neeraj Goel:
An Efficient NVM based Architecture for Intermittent Computing under Energy Constraints. - Amira Yousif, James P. Buckley:
Impact of Sentiment Analysis in Fake Review Detection. - Manuel Luis C. Delos Santos, Ronaldo S. Tinio, Darwin B. Diaz, Karlene Emily I. Tolosa:
Smart Face Shield: A Sensor-Based Wearable Face Shield Utilizing Computer Vision Algorithms. - Wei Tang, Weijia Zhang, Min-Ling Zhang:
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision. - Shabnam Behzad, Amir Zeldes, Nathan Schneider:
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help? - Jongheon Jeong, Seojin Kim, Jinwoo Shin:
Confidence-aware Training of Smoothed Classifiers for Certified Robustness. - Seemanta Saha, Laboni Sarker, Md Shafiuzzaman, Chaofan Shou, Albert Li, Ganesh Sankaran, Tevfik Bultan:
Rare-Seed Generation for Fuzzing. - Hunter McCoy, Steven A. Hofmeyr, Katherine A. Yelick, Prashant Pandey:
High-Performance Filters For GPUs. - Tiantian Feng, Rajat Hebbar, Nicholas Mehlman, Xuan Shi, Aditya Kommineni, Shrikanth Narayanan:
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness. - Dexun Li:
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering. - Erfaun Noorani, Christos N. Mavridis, John S. Baras:
Risk-Sensitive Reinforcement Learning with Exponential Criteria. - Sanka Mohottala, Pradeepa Samarasinghe, Dharshana Kasthurirathna, Charith Abhayaratne:
Graph Neural Network based Child Activity Recognition. - Mohammadali Fallahian, Mohsen Dorodchi, Kyle Kreth:
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions. - Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon:
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search. - Shuai Wang, Hang Li, Guido Zuccon:
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. - Sanka Mohottala, Sandun Abeygunawardana, Pradeepa Samarasinghe, Dharshana Kasthurirathna, Charith Abhayaratne:
2D Pose Estimation based Child Action Recognition. - Yu Wang, Hongxia Jin:
Neural Coreference Resolution based on Reinforcement Learning. - Shiqing Xin, Pengfei Wang, Rui Xu, Dongming Yan, Shuang-Min Chen, Wenping Wang, Caiming Zhang, Changhe Tu:
SurfaceVoronoi: Efficiently Computing Voronoi Diagrams over Mesh Surfaces with Arbitrary Distance Solvers. - Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting. - Tao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai:
Marginal-Certainty-aware Fair Ranking Algorithm. - Zifan Liu, Evan Rosen, Paul Suganthan G. C.:
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis. - Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao:
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. - Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan:
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. - Anqi Zhao, Tong Chu, Yahao Liu, Wen Li, Jingjing Li, Lixin Duan:
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks. - Jianan Li, Shenwang Jiang, Liqiang Song, Peiran Peng, Feng Mu, Hui Li, Peng Jiang, Tingfa Xu:
Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision. - Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa:
The Underlying Correlated Dynamics in Neural Training. - Haidong Zhu, Zhaoheng Zheng, Ram Nevatia:
Gait Recognition Using 3-D Human Body Shape Inference. - Chaochao Zhou, Bo Yang:
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text. - Sebastin Santy, Prasanta Bhattacharya, Rishabh Mehrotra:
Task Preferences across Languages on Community Question Answering Platforms. - Or Elimelech, Itai Bitton, Eran Nehushtan, Asaf Cohen:
Perfectly Covert Communication with a Reflective Panel. - Benjamin Förster, Peter Langendörfer, Thomas Hinze:
Determining Distributions of Security Means for Wireless Sensor Networks based on the Model of a Neighbourhood Watch. - Yuncong Li, Fang Wang, Sheng-Hua Zhong:
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction. - Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev:
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. - Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu:
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. - Samuel Karumba, Salil S. Kanhere, Raja Jurdak, Subbu Sethuvenkatraman:
PlexiChain: A Secure Blockchain-based Flexibility Aggregator Framework. - Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang:
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. - Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee:
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization. - Daniel Rho, Byeonghyeon Lee, Seungtae Nam, Joo Chan Lee, Jong Hwan Ko, Eunbyung Park:
Masked Wavelet Representation for Compact Neural Radiance Fields. - Christina Chaccour, Walid Saad:
Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications. - Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. - Thomas Eiter, Tobias Geibinger, Nysret Musliu, Johannes Oetsch, Peter Skocovsky, Daria Stepanova:
Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling. - Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang:
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. - Akila Peiris, Nisansa de Silva:
Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons. - Shiji Xin, Yifei Wang, Jingtong Su, Yisen Wang:
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization. - Johannes Gasteiger, Chendi Qian, Stephan Günnemann:
Influence-Based Mini-Batching for Graph Neural Networks. - Yongkang Liu, Shi Feng, Daling Wang, Hinrich Schütze, Yifei Zhang:
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. - Tianfang Zhang, Lei Li, Christian Igel, Stefan Oehmcke, Fabian Gieseke, Zhenming Peng:
LR-CSNet: Low-Rank Deep Unfolding Network for Image Compressive Sensing. - Tiantian Feng, Shrikanth Narayanan:
Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers. - Dawei Wu, Zhennan Zhou:
A convergent numerical algorithm for the stochastic growth-fragmentation problem. - Duan-Shin Lee, Ting-Zhe Liu, Ruhui Zhang, Cheng-Shang Chang:
A Degree Based Approximation of an SIR Model with Contact Tracing and Isolation. - Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. - Hechuan Guo, Minghui Xu, Jiahao Zhang, Chun-Chi Liu, Dongxiao Yu, Schahram Dustdar, Xiuzhen Cheng:
FileDAG: A Multi-Version Decentralized Storage Network Built on DAG-based Blockchain. - Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu:
Continually Learning from Existing Models: Knowledge Accumulation for Neural Machine Translation. - (Withdrawn) Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN.
- Ju Liu:
On the design of energy-decaying momentum-conserving integrator for nonlinear dynamics using energy splitting and perturbation techniques. - Abdullah Hamdi, Bernard Ghanem, Matthias Nießner:
SPARF: Large-Scale Learning of 3D Sparse Radiance Fields from Few Input Images. - Andrew Melnik, Maksim Miasayedzenkau, Dzianis Makarovets, Dzianis Pirshtuk, Eren Akbulut, Dennis Holzmann, Tarek Renusch, Gustav Reichert, Helge J. Ritter:
Face Generation and Editing with StyleGAN: A Survey. - Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava:
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. - Firas Al-Hindawi, Tejaswi Soori, Han Hu, Md Mahfuzur Rahman Siddiquee, Hyunsoo Yoon, Teresa Wu, Ying Sun:
A Generalized Framework for Critical Heat Flux Detection Using Unsupervised Image-to-Image Translation. - Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan:
Curriculum Sampling for Dense Retrieval with Document Expansion. - Yang Zhao, Bruno Clerckx:
RIScatter: Unifying Backscatter Communication and Reconfigurable Intelligent Surface. - Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. - Clémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Maxime Ferrera, Vincent Hugel:
SUCRe: Leveraging Scene Structure for Underwater Color Restoration. - Anjan Karmakar, Miltiadis Allamanis, Romain Robbes:
JEMMA: An Extensible Java Dataset for ML4Code Applications. - Konstantin Taranov, Fabian Fischer, Torsten Hoefler:
Efficient RDMA Communication Protocols. - Horst Schulte, Urs Giger:
Load Mitigation and Power Tracking Control for Multi-Rotor Turbines. - Songlin Yang, Roger P. Levy, Yoon Kim:
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars. - Refaat Mohammad Alamgir, Ali Abir Shuvro, Mueeze Al Mushabbir, Mohammed Ashfaq Raiyan, Nusrat Jahan Rani, Md. Mushfiqur Rahman, Md. Hasanul Kabir, Sabbir Ahmed:
Performance Analysis of YOLO-based Architectures for Vehicle Detection from Traffic Images in Bangladesh. - Parishad BehnamGhader, Santiago Miret, Siva Reddy:
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model. - Angelos Michalas, Constantinos Patsakis, Dimitrios D. Vergados, Dimitrios J. Vergados:
From NEA and NIA to NESAS and SCAS: Demystifying the 5G Security Ecosystem. - Jincheng Hu, Yang Lin, Jihao Li, Zhuoran Hou, Dezong Zhao, Quan Zhou, Jingjing Jiang, Yuanjian Zhang:
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning. - Adam Ivankay, Mattia Rigotti, Ivan Girardi, Chiara Marchiori, Pascal Frossard:
Estimating the Adversarial Robustness of Attributions in Text with Transformers. - Firas Khader, Gustav Mueller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno K. Bressem, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. - Atharva Tekawade, Suman Banerjee:
CEDCES: A Cost Effective Deadline Constrained Evolutionary Scheduler for Task Graphs in Multi-Cloud System. - Salomon Bendayan, Joseph Cheriyan, Kevin K. H. Cheung:
Unconstrained Traveling Tournament Problem is APX-complete. - Atharva Tekawade, Suman Banerjee:
A Cost Effective Reliability Aware Scheduler for Task Graphs in Multi-Cloud System. - Chenghao Xiao, Yang Long, Noura Al Moubayed:
On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. - Maxime Darrin, Pablo Piantanida, Pierre Colombo:
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data. - Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Knowledge Transfer and Reuse: A Case Study of AI-enabled Resource Management in RAN Slicing. - Alexander Saff, Mayur Bhandary, Siddharth Srivastava:
Predicting Citi Bike Demand Evolution Using Dynamic Graphs. - Sarah E. Finch, James D. Finch, Jinho D. Choi:
Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems. - Andrew Stirn, Hans-Hermann Wessels, Megan Schertzer, Laura Pereira, Neville E. Sanjana, David A. Knowles:
Faithful Heteroscedastic Regression with Neural Networks. - Bart Jacobs:
Sufficient Statistics and Split Idempotents in Discrete Probability Theory. - Taylor W. Webb, Keith J. Holyoak, Hongjing Lu:
Emergent Analogical Reasoning in Large Language Models. - Mengying Chen, Wannian An, Yang Liu, Chen Dong, Xiaodong Xu, Boxiao Han, Ping Zhang:
Modeling and Performance Analysis of Single-Server Database Over Quasi-static Rayleigh Fading Channel. - Ibrahim Alsolami, Tomoki Fukai:
An Extension of Fisher's Criterion: Theoretical Results with a Neural Network Realization. - Inwon Kang, Aparna Gupta, Oshani Seneviratne:
Blockchain Interoperability Landscape. - Chang Liu, Yitong Wang, Jun Zhao:
Mobile Edge Computing for the Metaverse. - Robin K. S. Hankin:
Quantum algebra in R: the weyl package. - Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda R. Petzold, Dong Yu:
OASum: Large-Scale Open Domain Aspect-based Summarization. - Lasitha Wijayarathne, Ziyi Zhou, Ye Zhao, Frank L. Hammond III:
Real-Time Deformable-Contact-Aware Model Predictive Control for Force-Modulated Manipulation. - Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang:
PAL: Persona-Augmented Emotional Support Conversation Generation. - Farhad Shirani, Mohsen Heidari:
On Non-Interactive Source Simulation via Fourier Transform. - Jun Takamatsu, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Katsushi Ikeuchi:
Learning-from-Observation System Considering Hardware-Level Reusability. - Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West, Yejin Choi:
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation. - Xiaowen Qiu, Ruize Xu, Boan He, Yingtao Zhang, Wenqiang Zhang, Weifeng Ge:
ColoristaNet for Photorealistic Video Style Transfer. - Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton:
Natural Language to Code Generation in Interactive Data Science Notebooks. - Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Ben Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemí Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger B. Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan:
Discovering Language Model Behaviors with Model-Written Evaluations. - Sagi Shaier, Lawrence Hunter, Katharina Kann:
Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems. - Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. - Lester James V. Miranda, Ákos Kádár, Adriane Boyd, Sofie Van Landeghem, Anders Søgaard, Matthew Honnibal:
Multi hash embeddings in spaCy. - Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang:
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. - Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Christopher Neff, Hamed Tabkhi:
CHAD: Charlotte Anomaly Dataset. - Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa:
CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization. - Xin Yang, Xiaogang Xu, Yingcong Chen:
Photo-Realistic Out-of-domain GAN inversion via Invertibility Decomposition. - Ziyaur Rahman, Ankur Bansal, Syed Mohammad Zafaruddin:
Diversity Analysis of Multi-Aperture UWOC System over EGG Channel with Pointing Errors. - Dongsung Kim, Yuchan Song, Soonhyeon Kwon, Haerin Kim, Jeong Do Yoo, Huy Kang Kim:
UAVCAN Dataset Description. - Ishaq Aden-Ali, Yeshwanth Cherapanamjeri, Abhishek Shetty, Nikita Zhivotovskiy:
The One-Inclusion Graph Algorithm is not Always Optimal. - Meng Jiang:
Very Large Language Model as a Unified Methodology of Text Mining. - Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui:
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity. - Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection. - Atharva Tekawade, Suman Banerjee:
A Makespan and Energy-Aware Scheduling Algorithm for Workflows under Reliability Constraint on a Multiprocessor Platform. - Furkan Burak Bagci, Ahmet Alp Kindiroglu, Metehan Yalçin, Ufuk Uyan, Mahiye Uluyagmur Öztürk:
Building Height Prediction with Instance Segmentation. - Yingwen Fu, Wenjie Ou, Zhou Yu, Yue Lin:
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL. - Omid Abbassi Aghda, Mohammad Javad Omidi, Hamid Saeedi Sourck:
Superimposed Channel Estimation in OTFS Modulation Using Compressive Sensing. - Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. - Shelly Jain, Priyanshi Pal, Anil Vuppala, Prasanta Kumar Ghosh, Chiranjeevi Yarra:
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations. - Ján Pich:
Localizability of the approximation method. - Jianzhang Zhang, Jinping Hua, Yiyang Chen, Nan Niu, Chuang Liu:
Detecting Features Concerning Privacy From App Reviews. - Manuela Schuler, Richard Membarth, Philipp Slusallek:
XEngine: Optimal Tensor Rematerialization for Neural Networks in Heterogeneous Environments. - Teo Susnjak:
ChatGPT: The End of Online Exam Integrity? - Terence Jie Chua, Wenhan Yu, Jun Zhao:
Unified, User and Task (UUT) Centered Artificial Intelligence for Metaverse Edge Computing. - Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. - Zekun Qian, Ruize Han, Wei Feng, Feifan Wang, Song Wang:
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration. - Yifei Wu:
A modified splitting method for the cubic nonlinear Schrödinger equation. - Issam Maarouf, Gianluigi Liva, Eirik Rosnes, Alexandre Graell i Amat:
Finite Blocklength Performance Bound for the DNA Storage Channel. - Hao Jia, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Enabling Temporal-Spectral Decoding in Pre-movement Detection. - Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang:
SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation. - Ting Wai Terence Au, Ingemar J. Cox, Vasileios Lampos:
E-NER - An Annotated Named Entity Recognition Corpus of Legal Text. - Lorin Sweeney, Graham Healy, Alan F. Smeaton:
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability. - Jasper Nalbach, Erika Ábrahám, Philippe Specht, Christopher W. Brown, James H. Davenport, Matthew England:
Levelwise construction of a single cylindrical algebraic cell. - Mukil M. V., Gayathri Manikutty, Divya Vijayan, Aparna Rangudu, Bhavani R. Rao:
When elephants nodded and dolls spoke: Bringing together robotics and storytelling for environmental literacy. - Yonatan Yehezkeally, Haider Al Kim, Sven Puchinger, Antonia Wachter-Zeh:
Bounds on Mixed Codes with Finite Alphabets. - Dhawal Sirikonda, Aakash KT, P. J. Narayanan:
Real-Time Rendering of Arbitrary Surface Geometries using Learnt Transfer. - Joze M. Rozanec, Patrik Zajec, Spyros Theodoropoulos, Erik Koehorst, Blaz Fortuna, Dunja Mladenic:
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection. - Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou:
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. - José Luis Gracia, Eugene O'Riordan:
A singularly perturbed convection-diffusion parabolic problem with incompatible boundary/initial data. - Erwan Mahe, Boutheina Bannour, Christophe Gaston, Arnault Lapitre, Pascale Le Gall:
Dealing with observability in interaction-based Offline Runtime Verification of Distributed Systems. - Yuxiang Zhang, Zhenbo Liu, Shuai Wang:
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation. - Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
StyleTRF: Stylizing Tensorial Radiance Fields. - Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Yanfeng Wang, Qi Tian:
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization. - Courtney Ford, Mark T. Keane:
Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise. - Minhui Zou, Nan Du, Shahar Kvatinsky:
Review of security techniques for memristor computing systems. - Joze M. Rozanec, Patrik Zajec, Spyros Theodoropoulos, Erik Koehorst, Blaz Fortuna, Dunja Mladenic:
Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques. - Xiao Zhang, Heyan Huang, Zewen Chi, Xian-Ling Mao:
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension. - Hartmut Surmann, Ivana Kruijff-Korbayová, Kevin Daun, Marius Schnaubelt, Oskar von Stryk, Manuel Patchou, Stefan Boecker, Christian Wietfeld, Jan Quenzel, Daniel Schleich, Sven Behnke, Robert Grafe, Nils Heidemann, Dominik Slomma:
Lessons from Robot-Assisted Disaster Response Deployments by the German Rescue Robotics Center Task Force. - Cemil Cem Gürsoy, Daniel Kraak, Foisal Ahmed, Mottaqiallah Taouil, Maksim Jenihhin, Said Hamdioui:
On BTI Aging Rejuvenation in Memory Address Decoders. - Pengbo Yu, Alexandre Levisse, Mohit Gupta, Timon Evenblij, Giovanni Ansaloni, Francky Catthoor, David Atienza:
A Soft SIMD Based Energy Efficient Computing Microarchitecture. - Siqi Ouyang, Rong Ye, Lei Li:
WACO: Word-Aligned Contrastive Learning for Speech Translation. - Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. - Güner Dilsad Er, Mustafa Mert Ankarali:
Stochastic stability analysis of legged locomotion using unscented transformation. - Peter Mortimer, Hans-Joachim Wuensche:
TAS-NIR: A VIS+NIR Dataset for Fine-grained Semantic Segmentation in Unstructured Outdoor Environments. - Deyue Zhang, Yue Wu, Yukun Guo:
Imaging an acoustic obstacle and its excitation sources from phaseless near-field data. - Alessandro Temperoni, Maria Biryukov, Martin Theobald:
Enriching Relation Extraction with OpenIE. - Jan Pichl, Petr Marek, Jakub Konrád, Petr Lorenc, Ondrej Kobza, Tomás Zajícek, Jan Sedivý:
Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture. - Jianwu Fang, Lei-Lei Li, Kuan Yang, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark. - Joseph Levitas, Konstantin Yavilberg, Oleg Korol, Genadi Man:
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction. - Xuancheng Huang, Zijun Liu, Peng Li, Maosong Sun, Yang Liu:
Prompt Gating: A Parameter Efficient Tuning Method for Zero-Shot Multi-Source Translation. - Yong Lai, Kuldeep S. Meel, Roland H. C. Yap:
Fast Converging Anytime Model Counting. - Xiangdong Pei, Rui Zhang:
Exploring a multi_stage feedback teaching mode for graduate students of software engineering discipline based on project_driven competition. - Joern Ploennigs, Markus Berger:
AI Art in Architecture. - Peng Gao, Feng Gao, Jian-Cheng Ni:
An Efficient Drug-Drug Interactions Prediction Technology for Molecularly Intelligent Manufacturing. - Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Million-scale Object Detection with Large Vision Model. - Dustin Wright, Isabelle Augenstein:
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. - Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Jimmy Lin:
Less is More: Parameter-Free Text Classification with Gzip. - Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu:
Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. - Hichem Sahbi:
Training Lightweight Graph Convolutional Networks with Phase-field Models. - Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Neural Model Meets NL2Code: A Survey. - Anton Thielmann, Christoph Weisser, Benjamin Säfken:
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class. - Kenneth V. Price, Abhishek Kumar, Ponnuthurai N. Suganthan:
Trial-Based Dominance Enables Non-Parametric Tests to Compare both the Speed and Accuracy of Stochastic Optimizers. - Alona Zharova, Antonia Scherz:
Multistep Multiappliance Load Prediction. - Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric:
On the Complexity of Representation Learning in Contextual Linear Bandits. - Shange Fu, Qin Wang, Jiangshan Yu, Shiping Chen:
FTX Collapse: A Ponzi Story. - Huaifeng Zhang, Fahmi Abdulqadir Ahmed, Dyako Fatih, Akayou Kitessa, Mohannad Alhanahnah, Philipp Leitner, Ahmed Ali-Eldin:
Machine Learning Containers are Bloated and Vulnerable. - Jyri Maanpää, Iaroslav Melekhov, Josef Taher, Petri Manninen, Juha Hyyppä:
Leveraging Road Area Semantic Segmentation with Auxiliary Steering Task. - Yukun Yang, Peng Li:
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry. - Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos:
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. - Senem Tanberk, Mustafa Can:
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series. - Martina Capuzzo, Carmen Delgado, Jeroen Famaey, Andrea Zanella:
Energy-Aware Packet Schedulers for Battery-Less LoRaWAN Nodes. - Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang:
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. - Mohamed Alshemi, Sherif M. Saif, Mohamed Taher:
Hardware Acceleration of Lane Detection Algorithm: A GPU Versus FPGA Comparison. - Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger:
Latent Diffusion for Language Generation. - Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features. - Mihály Péter Hanics:
Graph theoretical models and algorithms of portfolio compression. - Birgit Vogel-Heuser, Eva-Maria Neumann, Juliane Fischer:
MICOSE4aPS: Industrially Applicable Maturity Metric to Improve Systematic Reuse of Control Software. - Martin Obermeier, Steven Braun, Birgit Vogel-Heuser:
A Model Driven Approach on Object Oriented PLC Programming for Manufacturing Systems with regard to Usability. - Birgit Vogel-Heuser, Juliane Fischer, Dieter Hess, Eva-Maria Neumann, Marcus Würr:
Boosting Extra-functional Code Reusability in Cyber-physical Production Systems: The Error Handling Case Study. - Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo:
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation. - Zhongqiang Ma, Guohua Wu, Ponnuthurai N. Suganthan, Aijuan Song, Qizhang Luo:
Performance assessment and exhaustive listing of 500+ nature inspired metaheuristic algorithms. - Shayan Chashm Jahan, Masoud Seddighin, Seyed Mohammad Seyed Javadi, Mohammad Sharifi:
Rainbow Cycle Number and EFX Allocations: (Almost) Closing the Gap. - Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian:
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning. - Dario Bini, Beatrice Meini:
A defect-correction algorithm for quadratic matrix equations, with applications to quasi-Toeplitz matrices. - Minjung Kim, MyeongAh Cho, Sangyoun Lee:
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification. - Florian Bacho, Dominique F. Chu:
Exact Error Backpropagation Through Spikes for Precise Training of Spiking Neural Networks. - Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane:
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. - Alexander Braylan, Omar Alonso, Matthew Lease:
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks. - Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He:
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. - Philipp Christian Petersen, Anna Sepliarskaia:
VC dimensions of group convolutional neural networks. - Ingvar M. Ziemann:
A note on the smallest eigenvalue of the empirical covariance of causal Gaussian processes. - Zhangyue Yin, Yuxin Wang, Yiguang Wu, Hang Yan, Xiannian Hu, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Rethinking Label Smoothing on Multi-hop Question Answering. - Martin Grambow, Denis Kovalev, Christoph Laaber, Philipp Leitner, David Bermbach:
Using Microbenchmark Suites to Detect Application Performance Changes. - Frederik Hasecke, Pascal Colling, Anton Kummert:
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors. - Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu:
FedTADBench: Federated Time-Series Anomaly Detection Benchmark. - Dylan Wolff, Marcel Böhme, Abhik Roychoudhury:
Explainable Fuzzer Evaluation. - Gabriel Istrate, Cosmin Bonchis:
Mechanism Design With Predictions for Obnoxious Facility Location. - Difei Gao, Luowei Zhou, Lei Ji, Linchao Zhu, Yi Yang, Mike Zheng Shou:
MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering. - Malak Mashaabi, Areej Alotaibi, Hala Qudaih, Raghad Alnashwan, Hend S. Al-Khalifa:
Natural Language Processing in Customer Service: A Systematic Review. - Yangyu Huang, Xi Chen, Jongyoo Kim, Hao Yang, Chong Li, Jiaolong Yang, Dong Chen:
FreeEnricher: Enriching Face Landmarks without Additional Cost. - Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang:
HARP: Personalized Hand Reconstruction from a Monocular RGB Video. - Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, Khalid Almubarak, M. Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Indra Winata, Stella Biderman, Dragomir Radev, Vassilina Nikoulina:
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. - Xuelong Li:
Positive-incentive Noise. - Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna:
Mu2SLAM: Multitask, Multilingual Speech and Language Models. - Namhyuk Ahn, Patrick Kwon, Jihye Back, Kibeom Hong, Seungkwon Kim:
Interactive Cartoonization with Controllable Perceptual Factors. - Víctor J. Llorente, Jiaqing Kou, Eusebio Valero, Esteban Ferrer:
A modified equation analysis for immersed boundary methods based on volume penalization: applications to linear advection-diffusion and high-order discontinuous Galerkin schemes. - Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao:
Large Language Models are reasoners with Self-Verification. - Dominik Bez, Florian Kurpicz, Hans-Peter Lehmann, Peter Sanders:
High Performance Construction of RecSplit Based Minimal Perfect Hash Functions. - Maxwell J. Yin, Boyu Wang, Yue Dong, Charles Ling:
Source-Free Domain Adaptation for Question Answering with Masked Self-training. - Yushi Bai, Xin Lv, Juanzi Li, Lei Hou:
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization. - Anna-Lena Horlemann, Violetta Weger, Nadja Willenborg:
On the Density of Codes over Finite Chain Rings. - Alexander Steen, Geoff Sutcliffe, Tobias Gleißner, Christoph Benzmüller:
Solving QMLTP Problems by Translation to Higher-order Logic. - Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth:
Privacy Adhering Machine Un-learning in NLP. - Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
CiteBench: A benchmark for Scientific Citation Text Generation. - Sandipan Das, Ludvig af Klinteberg, Maurice F. Fallon, Saikat Chatterjee:
Observability-aware online multi-lidar extrinsic calibration. - Tomás Musil, David Marecek:
Independent Components of Word Embeddings Represent Semantic Features. - Yuming Jiang, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu:
Reference-based Image and Video Super-Resolution via C2-Matching. - Sagar Parekh, Dylan P. Losey:
Learning Latent Representations to Co-Adapt to Humans. - Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang, Hua Wu:
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling. - Welerson Melo, Guilherme A. Potje, Felipe Cadar, Renato Martins, Erickson R. Nascimento:
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. - Mathieu Ravaut, Shafiq R. Joty, Nancy F. Chen:
Unsupervised Summarization Re-ranking. - Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. - Xing Wu, Guangyuan Ma, Songlin Hu:
Query-as-context Pre-training for Dense Passage Retrieval. - Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi:
Explanation Regeneration via Information Bottleneck. - Xiaoyang Ruan, Liwei Wang, Michelle Mai, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu:
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction. - Yaru Hao, Zewen Chi, Li Dong, Furu Wei:
Optimizing Prompts for Text-to-Image Generation. - Chao Qin, Qiuyu Yu, Hugh H. T. Liu:
Model Predictive Spherical Image-Based Visual Servoing On SO(3) for Aggressive Aerial Tracking. - Ketan Maheshwari, Sean R. Wilkinson, Alex May, Tyler J. Skluzacek, Olga A. Kuchar, Rafael Ferreira da Silva:
Pseudonymization at Scale: OLCF's Summit Usage Data Case Study. - Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu:
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. - Nuno Miguel Guerreiro, Pierre Colombo, Pablo Piantanida, André F. T. Martins:
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation. - Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri:
Towards Assessing Data Bias in Clinical Trials. - Takeya Yamada, Hiroki Matsutani:
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices. - Zhendong Wang, Yi-Hung Chou, Kayla Fathi, Tobias Schimmer, Peter Colligan, David F. Redmiles, Rafael Prikladnicki:
Co-designing for a Hybrid Workplace Experience in Software Development. - Nooshin Bahador, Milad Lankarany:
Uncovering the Origins of Instability in Dynamical Systems: How Attention Mechanism Can Help? - Michele Benzi, Michele Rinelli, Igor Simunec:
Computation of the von Neumann entropy of large matrices via trace estimators and rational Krylov methods. - Olga Viberg, Ioana Jivet, Maren Scheffel:
Designing Culturally Aware Learning Analytics: A Value Sensitive Perspective. - Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji, Genta Indra Winata, Bryan Wilie, Rahmad Mahendra, Christian Wibisono, Ade Romadhony, Karissa Vincentio, Fajri Koto, Jennifer Santoso, David Moeljadi, Cahya Wirawan, Frederikus Hudi, Ivan Halim Parmonangan, Ika Alfina, Muhammad Satrio Wicaksono, Ilham Firdausi Putra, Samsul Rahmadani, Yulianti Oenang, Ali Akbar Septiandri, James Jaya, Kaustubh D. Dhole, Arie Ardiyanti Suryani, Rifki Afina Putri, Dan Su, Keith Stevens, Made Nindyatama Nityasya, Muhammad Farid Adilazuarda, Ryan Ignatius, Ryandito Diandaru, Tiezheng Yu, Vito Ghifari, Wenliang Dai, Yan Xu, Dyah Damapuspita, Cuk Tho, Ichwanul Muslim Karo Karo, Tirana Noor Fatyanosa, Ziwei Ji, Pascale Fung, Graham Neubig, Timothy Baldwin, Sebastian Ruder, Herry Sujaini, Sakriani Sakti, Ayu Purwarianti:
NusaCrowd: Open Source Initiative for Indonesian NLP Resources. - Ercong Nie, Sheng Liang, Helmut Schmid, Hinrich Schütze:
Cross-Lingual Retrieval Augmented Prompt for Low-Resource Languages. - Jayr Alencar Pereira, Robson do Nascimento Fidalgo, Roberto A. Lotufo, Rodrigo Nogueira:
Visconde: Multi-document QA with GPT-3 and Neural Reranking. - Gokularam Muthukrishnan, Sheetal Kalyani:
Grafting Laplace and Gaussian distributions: A new noise mechanism for differential privacy. - Genta Indra Winata, Alham Fikri Aji, Zheng Xin Yong, Thamar Solorio:
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges. - Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel H. Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira:
Norm of word embedding encodes information gain. - Zi Gong, Yinpeng Guo, Pingyi Zhou, Cuiyun Gao, Yasheng Wang, Zenglin Xu:
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. - Alex Mei, Sharon Levy, William Yang Wang:
Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI. - Yalin E. Sagduyu, Sennur Ulukus, Aylin Yener:
Task-Oriented Communications for NextG: End-to-End Deep Learning and AI Security Aspects. - Kangchen Zhu, Zhiliang Tian, Ruifeng Luo, Xiaoguang Mao:
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. - Naruki Yoshikawa, Andrew Zou Li, Kourosh Darvish, Yuchi Zhao, Haoping Xu, Alán Aspuru-Guzik, Animesh Garg, Florian Shkurti:
An Adaptive Robotics Framework for Chemistry Lab Automation. - Benedikt Gräßle, Nis-Erik Bohne, Stefan A. Sauter:
The pressure-wired Stokes element: a mesh-robust version of the Scott-Vogelius element. - Chester Palen-Michel, Constantine Lignos:
LR-Sum: Summarization for Less-Resourced Languages. - Li Lucy, Jesse Dodge, David Bamman, Katherine A. Keith:
Words as Gatekeepers: Measuring Discipline-specific Terms and Meanings in Scholarly Publications. - Matan Eyal, Hila Noga, Roee Aharoni, Idan Szpektor, Reut Tsarfaty:
Multilingual Sequence-to-Sequence Models for Hebrew NLP. - Ethan Mendes, Yang Chen, Alan Ritter, Wei Xu:
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments. - Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro:
A Natural Bias for Language Generation Models. - Or Honovich, Thomas Scialom, Omer Levy, Timo Schick:
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. - Rodrigo Dias Moreira, Flávio R. S. Coutinho, Luiz Chaimowicz:
Analysis and Compilation of Normal Map Generation Techniques for Pixel Art. - Ioannis Tsiamas, José A. R. Fonollosa, Marta R. Costa-jussà:
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations. - John Licato, Logan Fields, Zaid Marji:
Resoling Open-textured Rules with Templated Interpretive Arguments. - Mina Samizadeh:
Graph-based Semantical Extractive Text Analysis. - William Gantt, Reno Kriz, Yunmo Chen, Siddharth Vashishtha, Aaron Steven White:
On Event Individuation for Document-Level Information Extraction. - Sajani Vithana, Sennur Ulukus:
Rate-Privacy-Storage Tradeoff in Federated Learning with Top r Sparsification. - Alane Suhr, Yoav Artzi:
Continual Learning for Instruction Following from Realtime Feedback. - Dhanajit Brahma, Piyush Rai:
A Probabilistic Framework for Lifelong Test-Time Adaptation. - Tim Dettmers, Luke Zettlemoyer:
The case for 4-bit precision: k-bit Inference Scaling Laws. - Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren:
KNIFE: Knowledge Distillation with Free-Text Rationales. - Shashank Sonkar, Zichao Wang, Richard G. Baraniuk:
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages. - Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su:
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction. - Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz:
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences. - Gallil Maimon, Yossi Adi:
Speaking Style Conversion With Discrete Self-Supervised Units. - Yushi Lan, Chen Change Loy, Bo Dai:
Correspondence Distillation from NeRF-based GAN. - Yu Gu, Xiang Deng, Yu Su:
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments. - Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-guided Text Prompt for Vision-Language Pre-training. - Mounica Maddela, Yao Dou, David Heineman, Wei Xu:
LENS: A Learnable Evaluation Metric for Text Simplification. - Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. - Sanket Vaibhav Mehta, Jai Prakash Gupta, Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Jinfeng Rao, Marc Najork, Emma Strubell, Donald Metzler:
DSI++: Updating Transformer Memory with New Documents. - Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang:
Evaluating Human-Language Model Interaction. - Shuheng Liu, Alan Ritter:
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? - William Peebles, Saining Xie:
Scalable Diffusion Models with Transformers. - Jiaao Chen, Mohan Dodda, Diyi Yang:
Human-in-the-loop Abstractive Dialogue Summarization. - Mathieu Huot, Amir Shaikhha:
Denotationally Correct, Purely Functional, Efficient Reverse-mode Automatic Differentiation. - Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder:
Panoptic Lifting for 3D Scene Understanding with Neural Fields. - Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer, Ves Stoyanov:
Training Trajectories of Language Models Across Scales. - Thales C. Silva, Li Shen, Xi Yu, M. Ani Hsieh:
Receding Horizon Control on the Broadcast of Information in Stochastic Networks. - Yeskendir Koishekenov, Vassilina Nikoulina, Alexandre Berard:
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model. - Ali Bereyhi, Ralf R. Müller, Hermann Schulz-Baldes:
Analysis of Sparse Recovery Algorithms via the Replica Method. - Thales C. Silva, Victoria M. Edwards, M. Ani Hsieh:
Proportional Control for Stochastic Regulation on Allocation of Multi-Robots. - J. Ezequiel Martin, Maxwell Hammond, Nicholas Rober, Yakin Kim, Venanzio Cichella, Pablo M. Carrica:
Reduced Order Model of a Generic Submarine for Maneuvering Near the Surface. - Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger:
What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents. - Jason Cory Brunson, Yara Skaf:
Fixed and adaptive landmark sets for finite pseudometric spaces. - Xianghao Zhan, Yuzhe Liu, Nicholas J. Cecchi, Ashlyn A. Callan, Enora Le Flao, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo:
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. - Sourabh Zanwar, Daniel Wiechmann, Yu Qiao, Elma Kerz:
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media. - Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu:
Dynamic Sparse Network for Time Series Classification: Learning What to "see". - Diana Halikias, Alex Townsend:
Matrix recovery from matrix-vector products. - Lauren Niu, Xinyi Yang, Martin Nisser, Stefanie Mueller:
PullupStructs: Digital Fabrication for Folding Structures via Pull-up Nets. - Shahar Dobzinski, Ariel Shaulker:
Rigidity in Mechanism Design and its Applications. - Yu Qiao, Xiaofei Li, Daniel Wiechmann, Elma Kerz:
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. - Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. - Trevor Brown, William Sigouin, Dan Alistarh:
PathCAS: An Efficient Middle Ground for Concurrent Search Data Structures. - Xiaofei Li, Daniel Wiechmann, Yu Qiao, Elma Kerz:
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. - Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell:
Continuous Semi-Supervised Nonnegative Matrix Factorization. - Xinyi Yang, Martin Nisser, Stefanie Mueller:
CompuMat: A Computational Composite Material for Tangible Interaction. - Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris:
Synthetic Pre-Training Tasks for Neural Machine Translation. - Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer, Hannaneh Hajishirzi:
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations. - Daniel N. Sosa, Malavika Suresh, Christopher Potts, Russ B. Altman:
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature. - Karin de Langis, Dongyeop Kang:
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. - Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. - Lenka Jungmannová, Petr Plechác:
Unsigned Play by Milan Kundera? An Authorship Attribution Study. - Dimas M. Rachman, Yusuke Aoki, Yoshiki Miyauchi, Naoya Umeda, Atsuo Maki:
Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing). - David Pujol, Albert Sun, Brandon Fain, Ashwin Machanavajjhala:
Multi-Analyst Differential Privacy for Online Query Answering. - Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. - Zexin Sun, John Baillieul:
Model Predictive Control for Neuromimetic Quantized Systems. - Arya D. McCarthy, Hao Zhang, Shankar Kumar, Felix Stahlberg, Axel H. Ng:
Improved Long-Form Spoken Language Translation with Large Language Models. - Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts:
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training. - Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani:
MetaCLUE: Towards Comprehensive Visual Metaphors Research. - Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang:
Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality. - Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine:
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. - Yegor Bugayenko, Imre Delgado, Firas Jolha, Zamira Kholmatova, Artem V. Kruglov, Witold Pedrycz, Giancarlo Succi, Xavier Zelada Vasquez:
An experience in automatically extracting CAPAs from code repositories. - Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. - Yu Fu, Deyi Xiong, Yue Dong:
Inverse Reinforcement Learning for Text Summarization. - Jinzhao Zhou, Yiqun Duan, Zhihong Chen, Yu-Cheng Chang, Chin-Teng Lin:
Generalizing Multimodal Variational Methods to Sets. - Jill-Jênn Vie, Tomas Rigaux, Hisashi Kashima:
Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems. - Salih Atici, Hongyi Pan, Ahmet Enis Çetin:
Normalized Stochastic Gradient Descent Training of Deep Neural Networks. - Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC. - Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse:
Bandit approach to conflict-free multi-agent Q-learning in view of photonic implementation. - Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu:
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. - Umair Zulfiqar, Xin Du, Qiuyan Song, Muwahida Liaquat, Victor Sreeram:
H2 Model Order Reduction: A Relative Error Setting. - Umair Zulfiqar, Xin Du, Qiuyan Song, Zhi-Hua Xiao, Victor Sreeram:
Frequency-limited H2 Model Order Reduction Based on Relative Error. - Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus, Stuart W. D. Grieve, Milto Miltiadou, Adam Noach, Harry J. F. Owen, Stefano Puliti:
AI applications in forest monitoring need remote sensing benchmark datasets. - Jeffrey Zhao, Yuan Cao, Raghav Gupta, Harrison Lee, Abhinav Rastogi, Mingqiu Wang, Hagen Soltau, Izhak Shafran, Yonghui Wu:
AnyTOD: A Programmable Task-Oriented Dialog System. - Alex Cloud, Albert Wang, Wesley Kerr:
Anticipatory Fictitious Play. - Yanbo Song, Chungang Yang, Jiaming Zhang, Xinru Mi, Dusit Niyato:
Full-Life Cycle Intent-Driven Network Verification: Challenges and Approaches. - Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas:
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality. - Raphael Shu, Elman Mansimov, Tamer Alkhouli, Nikolaos Pappas, Salvatore Romeo, Arshit Gupta, Saab Mansour, Yi Zhang, Dan Roth:
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs. - Brian D. Zimmerman, Gaurav Sahu, Olga Vechtomova:
Future Sight: Dynamic Story Generation with Large Pretrained Language Models. - Mingye Xu, Mutian Xu, Tong He, Wanli Ouyang, Yali Wang, Xiaoguang Han, Yu Qiao:
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling with Informative-Preserved Reconstruction and Self-Distilled Consistency. - Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci:
Domain Generalization with Correlated Style Uncertainty. - Han Mao Kiah, Alexander Vardy, Hanwen Yao:
Efficient Algorithms for the Bee-Identification Problem. - Liang Ma, Shuyang Cao, Robert L. Logan IV, Di Lu, Shihao Ran, Ke Zhang, Joel R. Tetreault, Aoife Cahill, Alejandro Jaimes:
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics. - Shixiong Wang, Haowei Wang, Jean Honorio:
Distributional Robustness Bounds Generalization Errors. - Shinhoo Kang, Emil M. Constantinescu:
Learning Subgrid-scale Models with Neural Ordinary Differential Equations. - Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. - Jiajun Zhou, Chenxuan Xie, Zhenyu Wen, Xiangyu Zhao, Qi Xuan:
Data Augmentation on Graphs: A Survey. - Conrad Borchers, Zachary A. Pardos:
Insights into undergraduate pathways using course load analytics. - Yuyao Huang, Tingzhao Fu, Honghao Huang, Sigang Yang, Hongwei Chen:
Sophisticated deep learning with on-chip optical diffractive tensor processing. - Sigma Jahan, Mohammad Masudur Rahman:
Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection. - Tianrui Qin, Xianghuan He, Xitong Gao, Yiren Zhao, Kejiang Ye, Cheng-Zhong Xu:
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation. - Anand Jerry George, Lekshmi Ramesh, Aditya Vikram Singh, Himanshu Tyagi:
Continual Mean Estimation Under User-Level Privacy. - Jose Huaman, Felix O. Sumari, Luigy Machaca, Esteban Clua, Joris Guérin:
Benchmarking person re-identification datasets and approaches for practical real-world implementations. - Mozhdeh Gheini, Tatiana Likhomanenko, Matthias Sperber, Hendra Setiawan:
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. - Jue Lin, Gaurav Sharma, Thrasyvoulos N. Pappas:
Texture Representation via Analysis and Synthesis with Generative Adversarial Networks. - Austin Cooper, Arturo S. Bretas, Sean P. Meyn, Newton G. Bretas:
Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and μPMU Measurements. - Ke Zhao, Haining Tan, Tsz Fung Yau:
Multi-Reference Image Super-Resolution: A Posterior Fusion Approach. - Austin Cooper, Arturo S. Bretas, Sean P. Meyn, Newton G. Bretas:
High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach. - Dennis Agnew, Sharon Boamah, Reynold Mathieu, Austin Cooper, Janise McNair, Arturo S. Bretas:
Distributed Software-Defined Network Architecture for Smart Grid Resilience to Denial-of-Service Attacks. - Carter Knutson, Gihan Panapitiya, Rohith Anand Varikoti, Neeraj Kumar:
Dynamic Molecular Graph-based Implementation for Biophysical Properties Prediction. - Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer than Second Graders? - Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou:
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation. - Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, Huan Sun:
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters. - Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Poisoning Attacks in Open-Domain Question Answering. - Najoung Kim, Phu Mon Htut, Samuel R. Bowman, Jackson Petty:
(QA)2: Question Answering with Questionable Assumptions. - Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig:
Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. - Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang:
Multi-head Uncertainty Inference for Adversarial Attack Detection. - Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. - Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. - Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg:
Identifying latent distances with Finslerian geometry. - Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. - Belinda Z. Li, Maxwell I. Nye, Jacob Andreas:
Language Modeling with Latent Situations. - Forrest Sheng Bao, Ruixuan Tu, Ge Luo:
DocAsRef: A Pilot Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely. - Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. - Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu:
Is Self-Attention Powerful to Learn Code Syntax and Semantics? - Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao:
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. - Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? - Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov:
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. - Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu:
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods. - Yuling Gu, Bhavana Dalvi Mishra, Peter Clark:
Do language models have coherent mental models of everyday things? - Feng Qiu, Wanzeng Kong, Yu Ding:
InterMulti: Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis. - Chiaki Kojima, Yuya Muto, Yoshihiko Susuki:
Dissipativity of nonlinear ODE model of distribution voltage profile. - Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana:
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. - Yeonwoo Jeong, Chanyoung Jeoung, Hosan Jeong, Sangyoon Han, Juntae Kim:
Efficient Liquidity Providing via Margin Liquidity. - James W. Webber:
Multi-coil MRI by analytic continuation. - Tanmay Chavan, Shantanu Patankar, Aditya Kane, Omkar Gokhale, Raviraj Joshi:
A Twitter BERT Approach for Offensive Language Detection in Marathi. - Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph based Recommendation. - Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata:
An Augmentation Strategy for Visually Rich Documents. - Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian:
Asynchronous Distributed Bilevel Optimization. - Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. - Subhasis Dasgupta, Jaydip Sen:
A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach. - Steffen Illium, Gretchen Griffin, Michael Kölle, Maximilian Zorn, Jonas Nüßlein, Claudia Linnhoff-Popien:
VoronoiPatches: Evaluating A New Data Augmentation Method. - Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Sujian Li, Yajuan Lv:
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning. - Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Kun Huang, Fanglue Zhang, Junhong Zhao, Yiheng Li, Neil Dodgson:
360° Stereo Image Composition with Depth Adaption. - Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee:
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. - Donghao Zhou, Chunbin Gu, Junde Xu, Furui Liu, Qiong Wang, Guangyong Chen, Pheng-Ann Heng:
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction. - Namgyu Ho, Laura Schmid, Se-Young Yun:
Large Language Models Are Reasoning Teachers. - Lucas Schreff, Daniel F. B. Haeufle, Alexander Badri-Spröwitz, Johanna Vielemeyer, Roy Müller:
Virtual pivot point in human walking: always experimentally observed but simulations suggest it may not be necessary. - Egor Kraev, Timo Flesch, Hudson Taylor Lekunze, Mark Harley, Pere Planell Morell:
Out-of-sample scoring and automatic selection of causal estimators. - Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian:
DOC: Improving Long Story Coherence With Detailed Outline Control. - Steffen Illium, Maximilian Zorn, Cristian Lenta, Michael Kölle, Claudia Linnhoff-Popien, Thomas Gabor:
Constructing Organism Networks from Collaborative Self-Replicators. - Yichen Xu, Yanqiao Zhu:
A Survey on Pretrained Language Models for Neural Code Intelligence. - Shaswat Patel, Prince Bansal, Preeti Kaur:
Rumour detection using graph neural network and oversampling in benchmark Twitter dataset. - Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. - Yu Wang, Hongxia Jin:
Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning. - Changli Tang, Yujin Wang, Xie Chen, Wei-Qiang Zhang:
Exploring Effective Fusion Algorithms for Speech Based Self-Supervised Learning Models. - Steffen Illium, Robert Müller, Andreas Sedlmeier, Claudia Linnhoff-Popien:
Visual Transformers for Primates Classification and Covid Detection. - Tobias M. Wolff, Maylin Menzel, Johannes W. Dietrich, Matthias Albrecht Müller:
Treating Hyperthyroidism: Model Predictive Control for the Prescription of Antithyroid Agents. - Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang:
Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. - Shitong Wu, Wenhao Ye, Hao Wu, Huihui Wu, Wenyi Zhang, Bo Bai:
A Communication Optimal Transport Approach to the Computation of Rate Distortion Functions. - Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Shunhui Ji:
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion. - Jérôme Rutinowski, Bhargav Vankayalapati, Nils Schwenzfeier, Maribel Acosta, Christopher Reining:
On the Applicability of Synthetic Data for Re-Identification. - Philipp Hofer, Michael Roland, Philipp Schwarz, René Mayrhofer:
Efficient aggregation of face embeddings for decentralized face recognition deployments (extended version). - Maksym Del, Mark Fishel:
True Detective: A Challenging Benchmark for Deep Abductive Reasoning in Foundation Models. - Sarah Mittenentzwei, Veronika Weiß, Stefanie Schreiber, Laura A. Garrison, Stefan Bruckner, Malte Pfister, Bernhard Preim, Monique Meuschke:
Narrative Visualization to Communicate Neurological Diseases. - Sandra Kara, Hejer Ammar, Florian Chabot, Quoc Cuong Pham:
Image Segmentation-based Unsupervised Multiple Objects Discovery. - Péter L. Erdös, Tamás Róbert Mezei:
Minimizing interference-to-signal ratios in multi-cell networks. - Rodrigo Bruno, Serhii Ivanenko, Sutao Wang, Jovan Stevanovic, Vojin Jovanovic:
Graalvisor: Virtualized Polyglot Runtime for Serverless Applications. - Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu:
Content Adaptive Latents and Decoder for Neural Image Compression. - Tony Lelièvre, Panos Parpas:
Using Witten Laplacians to locate index-1 saddle points. - Karl Audun Borgersen, Morten Goodwin, Jivitesh Sharma:
A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems. - Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot, Rachel Bawden:
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. - Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection. - Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Tracking by Associating Clips. - Damjan Gjurovski, Sebastian Michel:
Approximate Query Processing via Tuple Bubbles. - Risako Owan, Maria L. Gini, Dongyeop Kang:
Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets. - Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. - Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li:
Goal-oriented Autonomous Driving. - Yu Tian, Renaud Lambiotte:
Spreading and Structural Balance on Signed Networks. - Jade Maï Cock, Muhammad Bilal, Richard Davis, Mirko Marras, Tanja Käser:
Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. - Panagiotis Agrafiotis, Konstantinos Karantzalos, Andreas Georgopoulos:
Seafloor-Invariant Caustics Removal from Underwater Imagery. - Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, V. Rudra Murthy, Anoop Kunchukuttan:
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages. - Gourav Datta, Zeyu Liu, Peter A. Beerel:
Hoyer regularizer is all you need for ultra low-latency spiking neural networks. - Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Xiang Wan:
Document-level Relation Extraction with Relation Correlations. - Machel Reid, Mikel Artetxe:
On the Role of Parallel Data in Cross-lingual Transfer Learning. - Jiangpeng Li, Yan Niu:
CGCV: Context Guided Correlation Volume for Optical Flow Neural Networks. - Rishabh Gupta, Ashutosh Kumar Singh:
A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment. - Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao:
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. - Ananya B. Sai, Vignesh Nagarajan, Tanay Dixit, Raj Dabre, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages. - Jiacong Yan, Hongwei Lin:
Reasonable thickness determination for implicit porous sheet structure using persistent homology. - Mayur Patidar, Avinash Kumar Singh, Prayushi Faldu, Lovekesh Vig, Indrajit Bhattacharya, Mausam:
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions. - Xun Wang, Tao Ge, Allen Mao, Yuki Li, Furu Wei, Si-Qing Chen:
Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite. - Tao Wang, Jiangyan Yi, Ruibo Fu, Jianhua Tao, Zhengqi Wen, Chu Yuan Zhang:
Emotion Selectable End-to-End Text-based Speech Editing. - Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang:
Adam: Dense Retrieval Distillation with Adaptive Dark Examples. - Lucille Calmon, Michael T. Schaub, Ginestra Bianconi:
Higher-order signal processing with the Dirac operator. - Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, Jingbo Zhu:
EIT: Enhanced Interactive Transformer. - Niccolò Tonicello, Andrea Lario, Gianluigi Rozza, Gianmarco Mengaldo:
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics. - Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. - Fei Wu, Luoyu Chen, Hao Lu:
ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion. - Maciej Krzywda, Szymon Lukasik, Amir H. Gandomi:
Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches. - Maren Koyda, Gerd Stumme:
Factorizing Lattices by Interval Relations. - Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Zhoujun Li, Furu Wei:
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. - Mingkai Wang, Taisong Jin, Miaohui Zhang, Zhengtao Yu:
CSMPQ: Class Separability Based Mixed-Precision Quantization. - Nadja Ramhöj Holtryd, Madhavan Manivannan, Per Stenström:
SoK: Analysis of Root Causes and Defense Strategies for Attacks on Microarchitectural Optimizations. - Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker:
Automated Configuration and Usage of Strategy Portfolios for Bargaining. - Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry P. Vetrov:
StyleDomain: Analysis of StyleSpace for Domain Adaptation of StyleGAN. - Yifan Zhang, Junhui Hou, Yixuan Yuan:
A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks. - Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study. - Minseok Seo, Hakjin Lee, Yongjin Jeon, Junghoon Seo:
Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery. - Lihua Qian, Mingxuan Wang, Yang Liu, Hao Zhou:
Diff-Glat: Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning. - Nadezhda Purtova, Gijs van Maanen:
Thinking of data as an economic good: what it can (not) teach us about data governance. - Sisi Miao, Alexander Schnerring, Haizheng Li, Laurent Schmalen:
Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices. - Waseem Akram, Sanjeev Saxena:
Dominance for Containment Problems. - Xinhong Chen, Wensheng Gan, Shicheng Wan, Tianlong Gu:
MDL-based Compressing Sequential Rules. - Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao:
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. - Yahan Yang, Soham Dan, Dan Roth, Insup Lee:
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing. - Liyi Luo, Xintong Jiang, Yu Yang, Eugene Roy Antony Samy, Mark Lefsrud, Valerio Hoyos-Villegas, Shangpeng Sun:
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds. - Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang:
ReCode: Robustness Evaluation of Code Generation Models. - Martin Schwartz, Philippe Ciais, Catherine Ottlé, Aurélien de Truchis, Cédric Véga, Ibrahim Fayad, Martin Brandt, Rasmus Fensholt, Nicolas N. Baghdadi, François Morneau, David Morin, Dominique Guyon, Sylvia Dayau, Jean-Pierre Wigneron:
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach. - Wangtao Lu:
On exact truncation of backward waves in elastrodynamics. - Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton, Elke Eichelmann, Mark Roantree, Alan F. Smeaton:
Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022. - Yizhi Wang, Zeyu Huang, Ariel Shamir, Hui Huang, Hao Zhang, Ruizhen Hu:
ARO-Net: Learning Neural Fields from Anchored Radial Observations. - Graham Caron, Shashank Srivastava:
Identifying and Manipulating the Personality Traits of Language Models. - Hui Li, Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yao Zhao:
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning. - Noa Alkobi, Tamar Rott Shaham, Tomer Michaeli:
Internal Diverse Image Completion. - David Piringer, Bernhard Bloder, Gabriel Kronberger:
Steel Phase Kinetics Modeling using Symbolic Regression. - Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei:
Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. - Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique:
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. - Timothy L. Kline:
Quantifying and Visualizing Vascular Branching Geometry with Micro-CT: Normalization of Intra- and Inter-Specimen Variations. - Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard:
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? - Zijian Long, Haiwei Dong, Abdulmotaleb El-Saddik:
Interacting with New York City Data by HoloLens through Remote Rendering. - Nikita Moghe, Tom Sherborne, Mark Steedman, Alexandra Birch:
Extrinsic Evaluation of Machine Translation Metrics. - Sergey S. Tambovskiy, Gábor Fodor, Hugo M. Tullberg:
Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation. - Wei Lou, Haofeng Li, Guanbin Li, Xiaoguang Han, Xiang Wan:
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework. - Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Amir Shaikhha, Mathieu Huot, Shabnam Ghasemirad, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis:
Efficient and Sound Differentiable Programming in a Functional Array-Processing Language. - David Pujol, Amir Gilad, Ashwin Machanavajjhala:
PreFair: Privately Generating Justifiably Fair Synthetic Data. - Yaoming Zhu, Zewei Sun, Shanbo Cheng, Yuyang Huang, Liwei Wu, Mingxuan Wang:
Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation. - Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters:
HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. - Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot:
Learned Systems Security. - Maxim Koroteev, Kirill Aistov, Valeriy Berezovskiy, Pavel Frolov:
Image quality prediction using synthetic and natural codebooks: comparative results. - Dianbo Liu, Karmel W. Choi, Paulo Lizano, William Yuan, Kun-Hsing Yu, Jordan Smoller, Isaac S. Kohane:
Construction of extra-large scale screening tools for risks of severe mental illnesses using real world healthcare data. - Yahao Chen, Malek Ghanes, Jean-Pierre Barbot:
Implicit function theorem for nonlinear time-delay systems with algebraic constraints. - Michael Sober, Max Kobelt, Giulia Scaffino, Dominik Kaaser, Stefan Schulte:
Distributed Key Generation with Smart Contracts using zk-SNARKs. - Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers. - Akaki Mamageishvili, Edward W. Felten:
Efficient L2 Batch Posting Strategy on L1. - Anindya Banerjee, Ramana Nagasamudram, David A. Naumann:
Making Relational Hoare Logic Alignment Complete. - Petra Bevandic, Marin Orsic, Ivan Grubisic, Josip Saric, Sinisa Segvic:
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation. - Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Yu Lan, Chao Shen:
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning. - Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios, Daniel Schäufele, Cara Watermann, Khawla Taleb-Bouhemadi, Mohammad Parvini, Anton Krause, Sanket Partani, Christian Vielhaus, Martin Kasparick, Daniel Fabian Külzer, Friedrich Burmeister, Slawomir Stanczak, Gerhard P. Fettweis, Hans D. Schotten, Frank H. P. Fitzek:
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. - Matthias Kraus, Diana Betancourt, Wolfgang Minker:
Does It Affect You? Social and Learning Implications of Using Cognitive-Affective State Recognition for Proactive Human-Robot Tutoring. - Anna Ziegler, Melina Merkel, Peter Gangl, Sebastian Schöps:
On the computation of analytic sensitivities of eigenpairs in isogeometric analysis. - Murali Padmanabha, Alexander Kobelski, Arne-Jens Hempel, Stefan Streif:
Modeling and optimal control of growth, energy, and resource dynamics of Hermetia illucens in mass production environment. - Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato:
Fixed-Weight Difference Target Propagation. - Jannis Clausius, Marvin Geiselhart, Stephan ten Brink:
Optimizing Serially Concatenated Neural Codes with Classical Decoders. - Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky:
Receptive Field Alignment Enables Transformer Length Extrapolation. - Jason Li, Nicholas Watters, Yingting Wang, Hansem Sohn, Mehrdad Jazayeri:
Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task. - Simon Klenk, David Bonello, Lukas Koestler, Daniel Cremers:
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras. - Md Raf E. Ul Shougat, Xiaofu Li, Siyao Shao, Kathleen Walden McGarvey, Edmon Perkins:
Hopf Physical Reservoir Computer for Reconfigurable Sound Recognition. - Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, Lingpeng Kong:
Self-adaptive In-context Learning. - Mark Niklas Müller, Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results. - Ting-Yun Chang, Robin Jia:
Careful Data Curation Stabilizes In-context Learning. - Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson:
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. - Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga:
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. - Franziska Herbert, Steffen Becker, Leonie Schaewitz, Jonas Hielscher, Marvin Kowalewski, M. Angela Sasse, Yasemin Acar, Markus Dürmuth:
A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries. - Nathan Ng, Hung Le, Marco Serafini:
Tuning the Tail Latency of Distributed Queries Using Replication. - Peng Gao, Xiaoyuan Liu, Edward Choi, Sibo Ma, Xinyu Yang, Zhengjie Ji, Zilin Zhang, Dawn Song:
ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management. - Ben Fei, Siyuan Huang, Jiakang Yuan, Botian Shi, Bo Zhang, Tao Chen, Min Dou, Yu Qiao:
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation. - Jimin Hong, Jungsoo Park, Daeyoung Kim, Seongjae Choi, Bokyung Son, Jaewook Kang:
TeSS: Zero-Shot Classification via Textual Similarity Comparison with Prompting using Sentence Encoder. - Jianhua Yuan, Yanyan Zhao, Bing Qin:
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning. - Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu:
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. - Baptiste Rabecq, Rémy Chevrier:
A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows. - Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. - Lorenz Welter, Issam Maarouf, Andreas Lenz, Antonia Wachter-Zeh, Eirik Rosnes, Alexandre Graell i Amat:
Index-Based Concatenated Codes for the Multi-Draw DNA Storage Channel. - Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. - Wenjie Yin, Vibhor Agarwal, Aiqi Jiang, Arkaitz Zubiaga, Nishanth Sastry:
AnnoBERT: Effectively Representing Multiple Annotators' Label Choices to Improve Hate Speech Detection. - Fahim Faisal, Antonios Anastasopoulos:
Geographic and Geopolitical Biases of Language Models. - Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, Chandra Bhagavatula:
Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. - Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa:
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. - Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. - Michael Bowling, John D. Martin, David Abel, Will Dabney:
Settling the Reward Hypothesis. - Tommaso Mario Buonocore, Claudio Crema, Alberto Redolfi, Riccardo Bellazzi, Enea Parimbelli:
Localising In-Domain Adaptation of Transformer-Based Biomedical Language Models. - Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. - Daniel Larby, Fulvio Forni:
A Passivity Preserving H-infinity Synthesis Technique for Robot Control. - Afagh Mehri Shervedani, Ki Hwan Oh, Bahareh Abbasi, Natawut Monaikul, Zhanibek Rysbek, Barbara Di Eugenio, Milos Zefran:
Evaluating Multimodal Interaction of Robots Assisting Older Adults. - Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball:
Deep Riemannian Networks for EEG Decoding. - Mohamad Arafeh, Hadi Otrok, Hakima Ould-Slimane, Azzam Mourad, Chamseddine Talhi, Ernesto Damiani:
ModularFed: Leveraging Modularity in Federated Learning Frameworks. - HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Pengyuan Wang, Giulia Rizzoli, Hongcheng Zhao, Sven Meier, Daniel Roth, Nassir Navab, Benjamin Busam:
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Pose Dataset with Household Objects in Realistic Scenarios. - Jean-François Cardoso:
Independent component analysis in the light of Information Geometry. - Hendrik Borras, Bernhard Klein, Holger Fröning:
Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks. - Siyu Huang, Jie An, Donglai Wei, Jiebo Luo, Hanspeter Pfister:
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity. - Zhen Du, Jiajia Li, Yinshan Wang, Xueqi Li, Guangming Tan, Ninghui Sun:
AlphaSparse: Generating High Performance SpMV Codes Directly from Sparse Matrices. - Woo-Hyung Cho, Shane G. Henderson, David B. Shmoys:
Scheduling with Predictions. - Ron Fulbright:
The Expertise Level. - Carl Zhang, Xilin Liu:
Wireless Power Transfer Analysis using Ansys. - Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks. - Qiuhao Wang, Chin Pang Ho, Marek Petrik:
On the Convergence of Policy Gradient in Robust MDPs. - Tim Jansen, Yangling Tong, Victoria Zevallos, Pedro Ortiz Suarez:
Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data. - Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. - Paulo Malcher, Olavo Barbosa, Davi Viana, Rodrigo Pereira dos Santos:
Software Ecosystems: A Tertiary Study and a Thematic Model. - Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz:
Recycling diverse models for out-of-distribution generalization. - M. Hamza Sajjad:
Neural Network Learner for Minesweeper. - Eugene Yang, Suraj Nair, Dawn J. Lawrie, James Mayfield, Douglas W. Oard:
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters. - Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu:
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. - Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li:
Is GPT-3 a Good Data Annotator? - Gengsen Huang, Wensheng Gan, Philip S. Yu:
Towards Sequence Utility Maximization under Utility Occupancy Measure. - Catherine Dubois, Nicolas Magaud, Alain Giorgetti:
Pragmatic isomorphism proofs between Coq representations: application to lambda-term families. - Young-Ho Cho, Shaohui Liu, Duehee Lee, Hao Zhu:
Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network. - Nikita Moghe, Evgeniia Razumovskaia, Liane Guillou, Ivan Vulic, Anna Korhonen, Alexandra Birch:
MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue. - Ruan Yanjiao:
Base Station Selection and Task Offloading of the Mobile Edge Computing System. - Hao Wang:
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems. - Hao Wang:
PoissonMat: Remodeling Matrix Factorization using Poisson Distribution and Solving the Cold Start Problem without Input Data. - Jingjing Xu, Qingxiu Dong, Hongyi Liu, Lei Li:
Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models. - Hyunwoo Kim, Jack Hessel, Liwei Jiang, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Le Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, Yejin Choi:
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization. - Howard Chen, Huihan Li, Danqi Chen, Karthik Narasimhan:
Controllable Text Generation with Language Constraints. - Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth:
Generic Temporal Reasoning with Differential Analysis and Explanation. - Christoph Leiter, Hoa Nguyen, Steffen Eger:
BMX: Boosting Machine Translation Metrics with Explainability. - Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan:
Little Red Riding Hood Goes Around the Globe: Crosslingual Story Planning and Generation with Large Language Models. - Jonas Belouadi, Steffen Eger:
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models. - Shalabh Bhatnagar, Prashanth L. A.:
Generalized Simultaneous Perturbation Stochastic Approximation with Reduced Estimator Bias. - Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. - Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan:
Precise Zero-Shot Dense Retrieval without Relevance Labels. - Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor:
SimpleStyle: An Adaptable Style Transfer Approach. - Changhao Wang, Ting Xu, Masayoshi Tomizuka:
Continuous Trajectory Optimization via B-splines for Multi-jointed Robotic Systems. - Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell:
A Measure-Theoretic Characterization of Tight Language Models. - Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. - Sang-Woo Lee, Sungdong Kim, Donghyeon Ko, Donghoon Ham, Youngki Hong, Shin Ah Oh, Hyunhoon Jung, Wangkyo Jung, Kyunghyun Cho, Dong-Hyun Kwak, Hyungsuk Noh, Woo-Myoung Park:
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? - Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. - Olga Gorynina, Frédéric Legoll, Tony Lelièvre, Danny Perez:
Combining machine-learned and empirical force fields with the parareal algorithm: application to the diffusion of atomistic defects. - Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal:
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. - Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi:
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. - Connor P. Gibbs, Bailey K. Fosdick, James D. Wilson:
ECoHeN: A Hypothesis Testing Framework for Extracting Communities from Heterogeneous Networks. - Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang:
CausalDialogue: Modeling Utterance-level Causality in Conversations. - Zewen Shen, Kirill Serkh:
Polynomial interpolation in the monomial basis is stable after all. - Fatemehsadat Mireshghallah, Richard Shin, Yu Su, Tatsunori Hashimoto, Jason Eisner:
Privacy-Preserving Domain Adaptation of Semantic Parsers. - Yanran Chen, Steffen Eger:
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End. - Diego Lentner, Emna Ben Yacoub, Stefano Calabrò, Georg Böcherer, Nebojsa Stojanovic, Gerhard Kramer:
Concatenated Forward Error Correction with KP4 and Single Parity Check Codes. - Suwon Shon, Siddhant Arora, Chyi-Jiunn Lin, Ankita Pasad, Felix Wu, Roshan S. Sharma, Wei-Lun Wu, Hung-Yi Lee, Karen Livescu, Shinji Watanabe:
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks. - John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan:
Exploring the Challenges of Open Domain Multi-Document Summarization. - Jing Lu, Keith B. Hall, Ji Ma, Jianmo Ni:
HYRR: Hybrid Infused Reranking for Passage Retrieval. - Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty:
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. - Russell Davis, Xiaoying Pu, Yiren Ding, Brian D. Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane Harrison:
The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance. - Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal:
DISCO: Distilling Phrasal Counterfactuals with Large Language Models. - Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. - Yuling Gu:
Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion. - Martha Lewis, Qinan Yu, Jack Merullo, Ellie Pavlick:
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models. - Zhou Fan, Xinran Han, Zi Wang:
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes. - Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer:
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? - Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang:
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment. - Skyler Hallinan, Alisa Liu, Yejin Choi, Maarten Sap:
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts. - Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush:
Pretraining Without Attention. - Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. - Shubhashis Roy Dipta, Mehdi Rezaee, Francis Ferraro:
Semantically-informed Hierarchical Event Modeling. - Iker García-Ferrero, Rodrigo Agerri, German Rigau:
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks. - Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency:
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment. - Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges:
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds. - Fei Yuan, Yinquan Lu, Wenhao Zhu, Lingpeng Kong, Lei Li, Jingjing Xu:
Lego-MT: Towards Detachable Models in Massively Multilingual Machine Translation. - Sachin Mehta, Saeid Naderiparizi, Fartash Faghri, Maxwell Horton, Lailin Chen, Ali Farhadi, Oncel Tuzel, Mohammad Rastegari:
RangeAugment: Efficient Online Augmentation with Range Learning. - Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei:
A Length-Extrapolatable Transformer. - Dongfu Jiang, Bill Yuchen Lin, Xiang Ren:
PairReranker: Pairwise Reranking for Natural Language Generation. - Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. - Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur:
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. - Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen:
On-the-fly Denoising for Data Augmentation in Natural Language Understanding. - Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Zhifang Sui, Furu Wei:
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers. - Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Model with Self Generated Instructions. - Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber:
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning. - Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant:
Character-Aware Models Improve Visual Text Rendering. - Hadas Orgad, Yonatan Belinkov:
Debiasing NLP Models Without Demographic Information. - Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein:
Does unsupervised grammar induction need pixels? - Martin Röhlig, Oliver Stachs, Heidrun Schumann:
Visual Analytics for Early Detection of Retinal Diseases. - Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa:
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. - Vivek Rathod, Bryan Seybold, Sudheendra Vijayanarasimhan, Austin Myers, Xiuye Gu, Vighnesh Birodkar, David A. Ross:
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features. - Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst:
Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks. - Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. - Cameron Diao, Kaixiong Zhou, Xiao Huang, Xia Hu:
MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning. - Nathaniel Weir, Ryan Thomas, Randolph D'Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani:
Ontologically Faithful Generation of Non-Player Character Dialogues. - Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang:
CHAIRS: Towards Full-Body Articulated Human-Object Interaction. - Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
mFACE: Multilingual Summarization with Factual Consistency Evaluation. - Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu:
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature. - Yang Yang:
Holistic risk assessment of inference attacks in machine learning. - Carol Xu, Mahmoud Famouri, Gautam Bathla, Mohammad Javad Shafiee, Alexander Wong:
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments. - Andrea Galimberti, Gabriele Montanaro, William Fornaciari, Davide Zoni:
An Evaluation of the State-of-the-Art Software and Hardware Implementations of BIKE. - Sepehr Assadi, Amit Chakrabarti, Prantar Ghosh, Manuel Stoeckl:
Coloring in Graph Streams via Deterministic and Adversarially Robust Algorithms. - Christopher Barrie:
Did the Musk Takeover Boost Contentious Actors on Twitter? - Felipe Gómez-Cuba:
The SIMO Block Rayleigh Fading Channel Capacity Scaling with Number of Antennas, Bandwidth and Coherence Length. - Loic Cappanera, Gabriela Jaramillo, Cory Ward:
Analysis and Simulations of a Nonlocal Gray-Scott Model. - Jesse van Oostrum, Peter van Hintum, Nihat Ay:
Inversion of Bayesian Networks. - Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh:
KronA: Parameter Efficient Tuning with Kronecker Adapter. - Maria Strazzullo, Fabio Vicini:
POD-based reduced order methods for optimal control problems governed by parametric partial differential equation with varying boundary control. - Majd Soud, Ilham A. Qasse, Grischa Liebel, Mohammad Hamdaqa:
AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes. - Guanru Pan, Ruchuan Ou, Timm Faulwasser:
Towards data-driven stochastic predictive control. - Yukun Huang, Yanda Chen, Zhou Yu, Kathleen R. McKeown:
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models. - Lingbo Li, Leslie Kanthan, Michail Basios, Fan Wu, Manal Adham, Vitali Avagyan, Alexis Butler, Paul Brookes, Rafail Giavrimis, Buhong Liu, Chrystalla Pavlou, Matthew Truscott, Vardan Voskanyan:
evoML Yellow Paper: Evolutionary AI and Optimisation Studio. - Joshua Clifford Bongard, Michael Levin:
There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines. - Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. - Pratik K. Mishra, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Shehroz S. Khan:
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos. - Yuki Okafuji, Sichao Song, Jun Baba, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Influence of collaborative customer service by service robots and clerks in bakery stores. - Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. - Daniel Lukas Rothenpieler, Shahin Amiriparian:
METEOR Guided Divergence for Video Captioning. - Dong Li, Yelong Shen, Ruoming Jin, Yi Mao, Kuan Wang, Weizhu Chen:
Generation-Augmented Query Expansion For Code Retrieval. - Khlood Ahmad, Mohamed Almorsy Abdelrazek, Chetan Arora, Muneera Bano, John C. Grundy:
Requirements Engineering for Artificial Intelligence Systems: A Systematic Mapping Study. - Akshay Chaturvedi, Swarnadeep Bhar, Soumadeep Saha, Utpal Garain, Nicholas Asher:
Analyzing Semantic Faithfulness of Language Models via Input Intervention on Conversational Question Answering. - Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli:
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields. - Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie:
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. - Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa:
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. - Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole:
Zero-shot Triplet Extraction by Template Infilling. - Alex Tamkin, Kunal Handa, Avash Shrestha, Noah D. Goodman:
Task Ambiguity in Humans and Language Models. - Jeffery Cheng, Kevin Li, Justin Lin, Pedro Pachuca:
Neighboring state-based RL Exploration. - Masaki Asada:
Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction. - Jimmy Z. Di, Jack Douglas, Jayadev Acharya, Gautam Kamath, Ayush Sekhari:
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. - Chao Min, Guoquan Wen, Liangjie Gou, Xiaogang Li, Zhaozhong Yang:
Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing. - Jens Egholm Pedersen, Jörg Conradt:
AEStream: Accelerated event-based processing with coroutines. - Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang:
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions. - Tuan Thanh Nguyen, Kui Cai, Paul H. Siegel:
Every Bit Counts: A New Version of Non-binary VT Codes with More Efficient Encoder. - Faisal Ladhak, Esin Durmus, Tatsunori Hashimoto:
Tracing and Removing Data Errors in Natural Language Generation Datasets. - Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. - John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick:
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval. - Soyeon Caren Han, Siqu Long, Henry Weld, Josiah Poon:
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction. - Chenlu Zhan, Peng Peng, Hongsen Wang, Tao Chen, Hongwei Wang:
UnICLAM: Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering. - Xiaojiang Ren, Hui Guo, Changxin Gao, Sheng Kai, Guoqiang Mao:
Real-time Path Planning of Driver-less Mining Trains with Time-dependent Physical Constraints. - Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Scalable Hybrid Learning Techniques for Scientific Data Compression. - Adiba Mahbub Proma, Md. Saiful Islam, Stela Ciko, Raiyan Abdul Baten, Ehsan Hoque:
NADBenchmarks - a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters. - Tu Xu, Kan Wu, Yongdong Zhu, Wei Ji:
Driving Style Recognition at First Impression for Online Trajectory Prediction. - Hongxiao Li, Wanling Gao, Lei Wang, Jianfeng Zhan:
ToL: A Tensor of List-Based Unified Computation Model. - Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu:
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. - Neil Song, Yu Xiang:
SLGTformer: An Attention-Based Approach to Sign Language Recognition. - Rayyan Abdalla, A. Brinton Cooper III:
Performance Analysis of LOS THz Systems under Misalignment and Deterministic Fading. - Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo:
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. - Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, Dan Roth, Tal Schuster:
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition. - Yijiang River Dong, Lara J. Martin, Chris Callison-Burch:
CORRPUS: Detecting Story Inconsistencies via Codex-Bootstrapped Neurosymbolic Reasoning. - El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim A. Elmadany, Alcides Alcoba Inciarte, Md Tawkat Islam Khondaker:
JASMINE: Arabic GPT Models for Few-Shot Learning. - AbdelRahim A. Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed:
ORCA: A Challenging Benchmark for Arabic Language Understanding. - Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon:
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents. - Zhiang Chen, Devin Keating, Yash Shethwala, Aravind Adhith Pandian Saravanakumaran, Ramon Arrowsmith, Chris Madugo, Albert Kottke, Jnaneshwar Das:
Shakebot: A Low-cost, Open-source Shake Table for Ground Motion Seismic Studies. - Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky:
Learning List-Level Domain-Invariant Representations for Ranking. - Taisuke Kobayashi:
Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search. - Jingjia Huang, Yuanqi Chen, Jiashi Feng, Xinglong Wu:
Class Prototype-based Cleaner for Label Noise Learning. - Kazuma Hashimoto, Iftekhar Naim, Karthik Raman:
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? - Najoung Kim, Tal Linzen, Paul Smolensky:
Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models. - Luke Vilnis, Zachary Fisher, Bhargav Kanagal, Patrick Murray, Sumit Sanghai:
ImPaKT: A Dataset for Open-Schema Knowledge Base Construction. - Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, Gaurav Gupta:
Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond. - Zhiyang Xu, Ying Shen, Lifu Huang:
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning. - Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen:
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. - Alex M. Tseng, Tommaso Biancalani, Max M. Shen, Gabriele Scalia:
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation. - Xing Su, Jian Yang, Jia Wu, Yuchen Zhang:
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. - Jiashu Xu, Mingyu Derek Ma, Muhao Chen:
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? - Ife Adebara, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Alcides Alcoba Inciarte:
SERENGETI: Massively Multilingual Language Models for Africa. - Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen:
Multi-hop Evidence Retrieval for Cross-document Relation Extraction. - Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi:
Interactive Learning-from-Observation through multimodal human demonstration. - Atsuko Takagi, Mayumi Kamada, Eri Hamatani, Ryosuke Kojima, Yasushi Okuno:
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network. - Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar:
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. - Annie Louis, Joshua Maynez:
OpineSum: Entailment-based self-training for abstractive opinion summarization. - Najoung Kim, Jatin Khilnani, Alex Warstadt, Abed Qaddoumi:
Reconstruction Probing. - Mayank Patel, Minal Bhise:
Resource Utilization Monitoring for Raw Data Query Processing. - Soumita Das, Bijita Singha, Alberto Tonda, Anupam Biswas:
Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks. - Li-Hsiang Shen, Kai-Jui Chen, An-Hung Hsiao, Kai-Ten Feng:
Semi-Supervised Bifold Teacher-Student Learning for Indoor Presence Detection Under Time-Varying CSI. - Soumita Das, Anupam Biswas, Ravi Kishore Devarapalli:
Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion. - Jongbeom Baek, Gyeongnyeon Kim, Seonghoon Park, Honggyu An, Matteo Poggi, Seungryong Kim:
Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking. - Ulisses Telemaco, Paulo Alencar, Donald D. Cowan, Toacy Cavalcante de Oliveira:
Agile Assessment Methods: Current State of the Art. - Juan Pablo Vigneaux:
Typicality for stratified measures. - Harkeerat Kaur, Rishabh Shukla, Isao Echizen, Pritee Khanna:
Secure and Privacy Preserving Proxy Biometrics Identities. - Dheeraj Mekala, Jason Andrew Wolfe, Subhro Roy:
ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models. - Yui Sudo, Muhammad Shakeel, Brian Yan, Jiatong Shi, Shinji Watanabe:
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders. - Wen Xiao, Lesly Miculicich, Yang Liu, Pengcheng He, Giuseppe Carenini:
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization. - Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup:
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks. - Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. - Ayman Mansour, Wafaa F. Mukhtar:
End-to-End Automatic Speech Recognition model for the Sudanese Dialect. - Trinh Van Chien, Eva Lagunas, Tiep Minh Hoang, Symeon Chatzinotas, Björn E. Ottersten, Lajos Hanzo:
Space-Terrestrial Cooperation Over Spatially Correlated Channels Relying on Imperfect Channel Estimates: Uplink Performance Analysis and Optimization. - Sensen Liu, Wenkang Hu, Zhaoying Wang, Wei Dong, Xinjun Sheng:
Perching on Moving Inclined Surfaces using Uncertainty Tolerant Planner and Thrust Regulation. - Rishikesh Sahay, Daniel A. Sepulveda Estay, Weizhi Meng, Christian Damsgaard Jensen, Michael Bruhn Barfod:
A Comparative Risk Analysis on CyberShip System with STPA-Sec, STRIDE and CORAS. - Aaisha Be, Vaibhav Shekhar, Debasisha Mishra:
Numerical range for weighted Moore-Penrose inverse of tensor. - Beniamin Goldys, Chunxi Jiao, Kim-Ngan Le:
Numerical method and Error estimate for stochastic Landau-Lifshitz-Bloch equation. - Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann:
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection. - Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi:
Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. - Ali Ballout, Andrea G. B. Tettamanzi, Célia da Costa Pereira:
Predicting the Score of Atomic Candidate OWL Class Axioms. - Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. - Jeremi Assael, Thibaut Heurtebize, Laurent Carlier, François Soupé:
Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning. - Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. - Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
VCNet: A self-explaining model for realistic counterfactual generation. - Yongsik Kim, Jaewoong Choi, Hyosun Lee, Jeong Do Yoo, Haerin Kim, Junho Jang, Ki Beom Park, Huy Kang Kim:
Defining C-ITS Environment and Attack Scenarios. - Feiyang Tang:
PABAU: Privacy Analysis of Biometric API Usage. - Thomas Guyet, Laurent Spillemaecker, Simon Malinowski, Anne-Isabelle Graux:
Temporal Disaggregation of the Cumulative Grass Growth. - Bin Wei:
CyberEye: Obtaining Data from Virtual Desktop by Video. - Ufuk Uyan, M. Tugberk Isyapar, Mahiye Uluyagmur Öztürk:
5G Long-Term and Large-Scale Mobile Traffic Forecasting. - Yuan Liu, Jiacheng Chen, Hao Wu:
MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning. - Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim:
Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners. - Luca Geatti, Marco Montali, Andrey Rivkin:
Reactive Synthesis for DECLARE via symbolic automata. - Theresa Eimer, Carolin Benjamins, Marius Lindauer:
Hyperparameters in Contextual RL are Highly Situational. - Seongmin Park, Beomseok Kwon, Jieun Lim, Kyuyoung Sim, Taeho Kim, Jungwook Choi:
Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization. - Ningyu Xu, Tao Gui, Ruotian Ma, Qi Zhang, Jingting Ye, Menghan Zhang, Xuanjing Huang:
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? - Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision. - Chengtai Cao, Fan Zhou, Yurou Dai, Jianping Wang:
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability. - Fan Liu, Yifeng Xiong, Kai Wan, Tony Xiao Han, Giuseppe Caire:
Deterministic-Random Tradeoff of Integrated Sensing and Communications in Gaussian Channels: A Rate-Distortion Perspective. - Khai Loong Aw, Mariya Toneva:
Training language models for deeper understanding improves brain alignment. - Zihao He, Weituo Hao, Xuchen Song:
RECAP: Retrieval Augmented Music Captioner. - Naveed Ahmed, Volker John, Xu Li, Christian Merdon:
Inf-sup stabilized Scott-Vogelius pairs on general simplicial grids for Navier-Stokes equations. - Andricson Abeline Moreira, Carlos Alexandre Carvalho Tojeiro, Carlos J. Reis, Gustavo Henrique Massaro, Igor Andrade Brito, Kelton A. P. da Costa:
Ensemble learning techniques for intrusion detection system in the context of cybersecurity. - Jiakang Xu, Wolfgang Mayer, Hongyu Zhang, Keqing He, Zaiwen Feng:
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base. - Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. - Changmin Lee, Bonhong Koo, Chan-Byoung Chae, Robert Schober:
The Internet of Bio-Nano Things in Blood Vessels: System Design and Prototypes. - M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li:
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. - Rahul Nellikkath, Spyros Chatzivasileiadis:
Minimizing Worst-Case Violations of Neural Networks. - Tobias Kappé:
Completeness and the Finite Model Property for Kleene Algebra, Reconsidered. - Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis:
Resolving Indirect Referring Expressions for Entity Selection. - Zihan Wang, Naoki Yoshinaga:
Esports Data-to-commentary Generation on Large-scale Data-to-text Dataset. - Felix Grumbach, Nour Eldin Alaa Badr, Pascal Reusch, Sebastian Trojahn:
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling. - Soumita Das, Anupam Biswas, Akrati Saxena:
DCC: A Cascade based Approach to Detect Communities in Social Networks. - Minbeom Kim, Hwanhee Lee, Kang Min Yoo, Joonsuk Park, Hwaran Lee, Kyomin Jung:
Critic-Guided Decoding for Controlled Text Generation. - Inha Kang, Jinah Park:
Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection. - Fei Dong, Xingchen Li, Keyou You, Shiji Song:
Standoff Tracking Using DNN-Based MPC with Implementation on FPGA. - Steven Sachio, Cleo Kontoravdi, Maria M. Papathanasiou:
A model-based framework for integrated process design and flexibility analysis. - Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
Parallel Context Windows Improve In-Context Learning of Large Language Models. - Mengqi Guo, Chen Li, Gim Hee Lee:
Incremental Learning for Neural Radiance Field with Uncertainty-Filtered Knowledge Distillation. - Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud, Nicholas Dufour, Luisa Verdoliva:
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization. - Soumita Das, Anupam Biswas:
The Ties that matter: From the perspective of Similarity Measure in Online Social Networks. - Matteo Icardi, Eugenio Pescimoro, Federico Municchi, Juan H. Hidalgo:
Computational framework for complex flow and transport in heterogeneous porous media. - Joan Boyar, Simon Erfurth, Kim S. Larsen, Ruben Niederhagen:
Quotable Signatures for Authenticating Shared Quotes. - Nevena Jakovcevic Stor, Ivan Slapnicar:
Fast multiplication, determinants, and inverses of arrowhead and diagonal-plus-rank-one matrices over associative fields. - Yi Wei, Marcos M. Vasconcelos:
Strategic multi-task coordination over regular networks of robots with limited computation and communication capabilities. - Reiko Heckel, Christopher M. Poskitt:
Proceedings of the Thirteenth International Workshop on Graph Computation Models, GCM@STAF 2022, Nantes, France, 6th July 2022. EPTCS 374, 2022 [contents] - Alba Curry, Amanda Cercas Curry:
Computer says "No": The Case Against Empathetic Conversational AI. - Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin:
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning. - Yu Cao, Hao Tian, P. Y. Mok:
Attention-Aware Anime Line Drawing Colorization. - Abhishek Sarkar, Tanmay Sen, Srimanta Kundu, Arijit Sarkar, Abdul Wazed:
LogAnMeta: Log Anomaly Detection Using Meta Learning. - Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti:
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective. - Pierre Gerhard, Philippe Helluy, Victor Michel-Dansac, Bruno Weber:
Parallel kinetic schemes for conservation laws, with large time steps. - Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi:
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles. - Laya Das, Mohammad Hossein Saadat, Blazhe Gjorgiev, Etienne Auger, Giovanni Sansavini:
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime. - Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep set conditioned latent representations for action recognition. - Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. - Lisa Luise Mannel, Wil M. P. van der Aalst:
Discovering Process Models With Long-Term Dependencies While Providing Guarantees and Handling Infrequent Behavior. - Fei Wu, Liqin Zhang, An Tran:
CNN waste classification project report. - Axel Marmoret, Jérémy E. Cohen, Frédéric Bimbot:
Polytopic Analysis of Music. - Daniel Hausmann, Lutz Schröder:
Coalgebraic Satisfiability Checking for Arithmetic μ-Calculi. - Giulio Bartoli, Andrea Abrardo, Nicolò Decarli, Davide Dardari, Marco Di Renzo:
Spatial Multiplexing in Near Field MIMO Channels with Reconfigurable Intelligent Surfaces. - Sergiy V. Borodachov:
Pointwise optimal multivariate spline method for recovery of twice differentiable functions on a simplex. - Guilherme Henrique Galelli Christmann, Lin Yu-Ren, Rodrigo da Silva Guerra, Jacky Baltes:
Can a Robot Shoot an Olympic Recurve Bow? A preliminary study. - Khashayar Etemadi, Aman Sharma, Fernanda Madeiral, Martin Monperrus:
Augmenting Diffs With Runtime Information. - Dipika Singhania, Rahul Rahaman, Angela Yao:
C2F-TCN: A Framework for Semi and Fully Supervised Temporal Action Segmentation. - Ferdinand Rewicki, Joachim Denzler, Julia Niebling:
Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series. - Isaac J. Sledge, José C. Príncipe:
Adapting the Exploration Rate for Value-of-Information-Based Reinforcement Learning. - Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus:
Cooperative Flight Control Using Visual-Attention - Air-Guardian. - Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. - Hung Guei:
On Reinforcement Learning for the Game of 2048. - Birthe van den Berg, Tom Schrijvers, James McKinna, Alexander Vandenbroucke:
Forward- or Reverse-Mode Automatic Differentiation: What's the Difference? - Lizhou You, Mingbao Lin, Tie Hu, Fei Chao, Rongrong Ji:
Exploring Content Relationships for Distilling Efficient GANs. - Paniz Sedighi, Mohammad Hesam Norouzi, Mehdi Delrobaei:
An RFID-Based Assistive Glove to Help the Visually Impaired. - Gyanendra Das, Xavier Thomas, Anant Raj, Vikram Gupta:
MAViC: Multimodal Active Learning for Video Captioning. - Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio:
Lifelong Reinforcement Learning with Modulating Masks. - Roberto Nuca, Erlend Storvik, Florin A. Radu, Matteo Icardi:
Splitting Schemes for Coupled Differential Equations: Block Schur-Based Approaches and Partial Jacobi Approximation. - Shengju Qian, Yi Zhu, Wenbo Li, Mu Li, Jiaya Jia:
What Makes for Good Tokenizers in Vision Transformer? - Azal Ahmad Khan:
Balanced Split: A new train-test data splitting strategy for imbalanced datasets. - Shoichiro Hara, Yuji Watanabe:
NP4G : Network Programming for Generalization. - Gustavo Henrique de Rosa, João Paulo Papa:
A survey on text generation using generative adversarial networks. - Maxim Freydin, Niv Sfaradi, Nimrod Segol, Areej Eweida, Barak Or:
MountNet: Learning an Inertial Sensor Mounting Angle with Deep Neural Networks. - Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips, Jonas Kurlberg, Jialin Yu:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. - Parviz Ali:
Diamond Abrasive Electroplated Surface Anomaly Detection using Convolutional Neural Networks for Industrial Quality Inspection. - Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng:
THMA: Tencent HD Map AI System for Creating HD Map Annotations. - Prasath Murugesan, Shamshu Dharwez Saganvali:
An AI-Powered VVPAT Counter for Elections in India. - Farnoosh Shirani Bidabadi, Shuaifang Wang:
A new weighted ensemble model for phishing detection based on feature selection. - Forrest McKee, David Noever:
Chatbots in a Botnet World. - Lam Duc Nguyen, James Hoang, Qin Wang, Qinghua Lu, Sherry Xu, Shiping Chen:
BDSP: A Fair Blockchain-enabled Framework for Privacy-Enhanced Enterprise Data Sharing. - Christian Nauck, Michael Lindner, Konstantin Schürholt, Frank Hellmann:
Towards dynamic stability analysis of sustainable power grids using graph neural networks. - Andrea Bonomi, Thomas De Min, Enrico Zardini, Enrico Blanzieri, Valter Cavecchia, Davide Pastorello:
Quantum Annealing Learning Search Implementations. - Qianqian Pan, Mianxiong Dong, Kaoru Ota, Jun Wu:
Device-Bind Key-Storageless Hardware AI Model IP Protection: A PUF and Permute-Diffusion Encryption-Enabled Approach. - Pedro L. T. Neves, José Fornari, João Batista Florindo:
Generating music with sentiment using Transformer-GANs. - Massimo Fioravanti, Daniele Cattaneo, Federico Terraneo, Silvano Seva, Stefano Cherubin, Giovanni Agosta, Francesco Casella, Alberto Leva:
Array-Aware Matching: Taming the Complexity of Large-Scale Simulation Models. - Dragutin Petkovic:
It is not "accuracy vs. explainability" - we need both for trustworthy AI systems. - Yedi Zhang, Zhe Zhao, Fu Song, Min Zhang, Taolue Chen, Jun Sun:
QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks. - Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. - N. Rasha Shanaz, K. Murali, P. Muruganandam:
Reservoir Computing Using Complex Systems. - Erik Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi:
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. - Beatrice Couture, Farah Verret, Maxime Gohier, Dominique Deslandres:
The challenges of HTR model training: Feedbacks from the project Donner le gout de l'archive a l'ere numerique. - Benedetto Intrigila, Giulio Manzonetto, Nicolas Munnich:
Extended Addressing Machines for PCF, with Explicit Substitutions. - Yutaka Nagashima, Zijin Xu, Ningli Wang, Daniel Sebastian Goc, James Bang:
Property-Based Conjecturing for Automated Induction in Isabelle/HOL. - Naoya Yoshimura, Jaime Morales, Takuya Maekawa, Takahiro Hara:
OpenPack: A Large-scale Dataset for Recognizing Packaging Works in IoT-enabled Logistic Environments. - Yongding Tian, Zaid Al-Ars, H. Peter Hofstee:
Tydi-lang: a language for typed streaming hardware - A manual for future Tydi-lang compiler developers. - Shahrooz Pouryousef, Lixin Gao, Don Towsley:
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning. - Valentina Castiglioni, Michele Loreti, Simone Tini:
RobTL: A Temporal Logic for the Robustness of Cyber-Physical Systems. - Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek:
Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis. - Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong:
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. - Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
A recurrent CNN for online object detection on raw radar frames. - Boris Shminke:
Python client for Isabelle server. - Ziwei Wang, Jiashi Gao, Xuetao Wei:
Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection Fragility. - Tomasz Stanisz, Stanislaw Drozdz, Jaroslaw Kwapien:
Universal versus system-specific features of punctuation usage patterns in~major Western~languages. - Byung-Doh Oh, William Schuler:
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal. - Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault:
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning. - Joshua Brakensiek, Neng Huang, Aaron Potechin, Uri Zwick:
Separating MAX 2-AND, MAX DI-CUT and MAX CUT. - Davide Dalle Pezze, Eugenia Anello, Chiara Masiero, Gian Antonio Susto:
Continual Learning Approaches for Anomaly Detection. - Yalin E. Sagduyu:
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks. - Marwan Dhuheir, Emna Baccour, Aiman Erbad, Sinan Sabeeh Al-Obaidi, Mounir Hamdi:
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms. - Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus, Aylin Yener:
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks. - Avinash Agarwal, Harsh Agarwal:
A Seven-Layer Model for Standardising AI Fairness Assessment. - Deepak Maurya, Jean Honorio:
A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression. - Fahmida Tasnim Lisa, Md. Zarif Hossain, Sharmin Naj Mou, Shahriar Ivan, Md. Hasanul Kabir:
Land Cover and Land Use Detection using Semi-Supervised Learning. - Fabrício Góes, Zisen Zhou, Piotr Sawicki, Marek Grzes, Daniel G. Brown:
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges. - Matthias Mayr, Julian M. Salt Ducaju:
A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators. - Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On Safe and Usable Chatbots for Promoting Voter Participation. - Hugo Bertiche, Meysam Madadi, Sergio Escalera:
Neural Cloth Simulation. - Guido Schryen:
Speedup and efficiency of computational parallelization: A unifying approach and asymptotic analysis. - Jane Adams:
One Artist's Personal Reflections on Methods and Ethics of Creating Mixed Media Artificial Intelligence Art. - Mikolaj Figurski:
Improving Narrative Relationship Embeddings by Training with Additional Inverse-Relationship Constraints. - Mingjian Tuo, Xingpeng Li:
Machine Learning Assisted Inertia Estimation using Ambient Measurements. - Jianhao Yuan, Francesco Pinto, Adam Davies, Aarushi Gupta, Philip H. S. Torr:
Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations. - Daniel Larby, Fulvio Forni:
A Generalized Approach to Impedance Control Design for Robotic Minimally Invasive Surgery. - Iosif Iulian Petrila:
@C - augmented version of C programming language. - Nathaniel A. Collins, Michael Levet:
Count-Free Weisfeiler-Leman and Group Isomorphism. - Rob van Glabbeek:
Fair Must Testing for I/O Automata. - Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan:
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. - Joshua Brakensiek, Manik Dhar, Sivakanth Gopi:
Improved Field Size Bounds for Higher Order MDS Codes. - Dale Decatur, Itai Lang, Rana Hanocka:
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions. - Matin Mortaheb, Sennur Ulukus:
Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs. - Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. - Scott Bressler, Ryan Neely, Heather Read, Ryan Yost, David Wang:
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations. - Neeraj Kumar, Ankur Narang, Brejesh Lall:
KL Regularized Normalization Framework for Low Resource Tasks. - Kamil Akesbi:
Audio Denoising for Robust Audio Fingerprinting. - Jumin Qiu, Tianbao Yu, Lujun Huang, Andrey Miroshnichenko, Shuyuan Xiao:
Decision-making and control with metasurface-based diffractive neural networks. - Jürgen Schmidhuber:
Annotated History of Modern AI and Deep Learning. - Buck Shlegeris, Fabien Roger, Lawrence Chan, Euan McLean:
Language models are better than humans at next-token prediction. - Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky:
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. - Kimia Kamal, Bilal Farooq:
Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour. - Valentino Smaldore:
Bent functions and strongly regular graphs. - Börje Norlin, Siwen An, Thomas Granfeldt, David Krapohl, Barry Lai, Hafizur Rahman, Faisal Zeeshan, Per Engstrand:
Visualisation of sulphur on single fibre level for pulping industry. - Ali Mokhtari, Mohsen Amini Salehi:
E2C: A Visual Simulator for Heterogeneous Computing Systems. - Olawale Salaudeen, Oluwasanmi Koyejo:
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations. - Quentin Legros, Dominique Fourer:
Time-Frequency Ridge Estimation of Multi-Component Signals using Sparse Modeling of Signal Innovation. - Zichen Gui, Jungang Luo:
Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approach. - Gyan Tatiya, Jonathan Francis, Luca Bondi, Ingrid Navarro, Eric Nyberg, Jivko Sinapov, Jean Oh:
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation. - Chris Lengerich, Gabriel Synnaeve, Amy Zhang, Hugh Leather, Kurt Shuster, François Charton, Charysse Redwood:
Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning. - François Vilar, Rémi Abgrall:
\textit{A Posteriori} local subcell correction of high-order discontinuous Galerkin scheme for conservation laws on two-dimensional unstructured grids. - Sungsoo Lim, Diego Klabjan, Mark Shapiro:
Feature Acquisition using Monte Carlo Tree Search. - Antoine Amarilli, Michael Benedikt:
Tighter bounds for query answering with Guarded TGDs. - Ruilin Ma, Shiyao Chen, Qin Zhang:
Lightweight Monocular Depth Estimation. - S. Mohammad Mirbagheri:
A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences. - Ryan K. Cosner, Yisong Yue, Aaron D. Ames:
End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions. - Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. - Dale Chen-Song, Erfan Khalaji, Vaishali Rani:
MM811 Project Report: Cloud Detection and Removal in Satellite Images. - Baibhab Chatterjee, Pedram Mohseni, Shreyas Sen:
Bioelectronic Sensor Nodes for Internet of Bodies. - Weiting Li, Rahul Vyas, Ramya Sree Penta:
Artistic Arbitrary Style Transfer. - Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn W. Schuller:
Automatic Emotion Modelling in Written Stories. - Dongfang Zhao:
Secure Aggregation of Semi-Honest Clients and Servers in Federated Learning with Secret-Shared Homomorphism. - Zhirui Luo, Ruobin Qi, Qingqing Li, Jun Zheng, Sihua Shao:
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data. - Dennis Casazola, Fabio Arnez, Huáscar Espinoza:
Design Considerations of an Unmanned Aerial Vehicle for Aerial Filming. - Gustaaf B. Jacobs, Hareshram Natarajan, Pavel Popov, David A. Kopriva:
Analysis of an Explicit, High-Order Semi-Lagrangian Nodal Method. - Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. - Deepan Chakravarthi Padmanabhan, Matias Valdenegro-Toro:
DExT: Detector Explanation Toolkit. - Aravindakumar Vijayasri Mohan Kumar:
Modelling Controllers for Cyber Physical Systems Using Neural Networks. - Armin Zirak, Hadi Hemmati:
Improving Automated Program Repair with Domain Adaptation. - Lee Sharkey:
Circumventing interpretability: How to defeat mind-readers. - Aparna Mendu, Bhavya Sehgal, Vaishnavi Mendu:
Cattle Detection Occlusion Problem. - Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Behnam Moradi, Mehran Mehrandezh:
A Non-linear MPC Local Planner for Tractor-Trailer Vehicles in Forward and Backward Maneuvering. - Matthew Streeter, Joshua V. Dillon:
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications. - Dawen Liang, Nikos Vlassis:
Local Policy Improvement for Recommender Systems. - Hyeong-Ju Kang:
AoCStream: All-on-Chip CNN Accelerator With Stream-Based Line-Buffer Architecture. - Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. - Hye-min Chang, Sungkyun Chang:
Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data. - Tao Li, Quanyan Zhu:
Commitment with Signaling under Double-sided Information Asymmetry. - Victoria M. Edwards, Thales C. Silva, M. Ani Hsieh:
Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring. - Aiman Al-Sabaawi, Thamer A. Alrowidhan:
Detecting Network Security Vulnerabilities and Proactive Strategies to Mitigate Potential Threats. - Fei Liu, Zihao Lu, Xianke Lin:
Vision-Based Environmental Perception for Autonomous Driving. - Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S. Craig Watkins, Edison Thomaz, Kaya de Barbaro:
Understanding Postpartum Parents' Experiences via Two Digital Platforms. - Dan DeGenaro, Jugal Kalita:
CAMeMBERT: Cascading Assistant-Mediated Multilingual BERT. - Aldrin Montana, Yuanqing Xue, Jeff LeFevre, Carlos Maltzahn, Josh Stuart, Philip Kufeldt, Peter Alvaro:
A Moveable Beast: Partitioning Data and Compute for Computational Storage. - Tolga O. Atalay, Sudip Maitra, Dragoslav Stojadinovic, Angelos Stavrou, Haining Wang:
Securing 5G OpenRAN with a Scalable Authorization Framework for xApps. - Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang:
IPProtect: protecting the intellectual property of visual datasets during data valuation. - Sukru Yaren Gelbal, Bilin Aksun Güvenç, Levent Guvenç:
Vehicle in Virtual Environment (VVE) Method. - Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie:
Multi-queue Momentum Contrast for Microvideo-Product Retrieval. - Tao Wang, Guangpin Tao, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Xiaoqin Zhang, Tong Lu:
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning. - Dongfang Zhao:
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems. - Takashi Goda, Yoshihito Kazashi, Yuya Suzuki:
Randomizing the trapezoidal rule gives the optimal RMSE rate in Gaussian Sobolev spaces. - Mertcan Cokbas, Prakash Ishwar, Janusz Konrad:
Spatio-Visual Fusion-Based Person Re-Identification for Overhead Fisheye Images. - Feng Shi, Xiankun Yan, Frank Neumann:
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem. - Jimin Wang, Jieming Ke, Ji-Feng Zhang:
Differentially Private Bipartite Consensus over Signed Networks with Time-Varying Noises. - Zohreh Azizi, C.-C. Jay Kuo:
SALVE: Self-supervised Adaptive Low-light Video Enhancement. - Xiaochan Xue, Moh. Khalid Hasan, Shucheng Yu, Laxima Niure Kandel, Min Song:
Over-the-Air Federated Learning with Enhanced Privacy. - Andrea Bonito, Diane Guignard, Angelique Morvant:
Numerical approximations of thin structure deformations. - Shubhransh Singhvi, Praful D. Mankar:
Coding Gain for Age of Information in a Multi-source System with Erasure Channel. - Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould:
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. - Alexander D. Gilbert, Frances Y. Kuo, Ian H. Sloan, Abirami Srikumar:
Theory and construction of Quasi-Monte Carlo rules for option pricing and density estimation. - Aleksandar Krnjaic, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Peter Börsting, Stefano V. Albrecht:
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers. - Luoyu Chen, Fei Wu:
Group Sparse Coding for Image Denoising. - Narendra Chaudhary, Alexander Pivovar, Pavel Yakovlev, Andrey Gorshkov, Sanchit Misra:
Accelerating Barnes-Hut t-SNE Algorithm by Efficient Parallelization on Multi-Core CPUs. - Yohei Baba, Takuro Hoshi, Ryosuke Mori, Gaurang Gavai:
Supervised Anomaly Detection Method Combining Generative Adversarial Networks and Three-Dimensional Data in Vehicle Inspections. - Mengya Xu, Mobarakol Islam, Ben Glocker, Hongliang Ren:
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding. - Fabio Tanaka, Claus Aranha:
Co-evolving morphology and control of soft robots using a single genome. - Mohamed Elmahallawy, Tie Luo:
AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. - Drew Ehrlich, Milad Hakimshafaei, Oskar Elek:
Scaffolding Generation using a 3D Physarum Polycephalum Simulation. - Martin Eigel, Robert Gruhlke, David Sommer:
Less interaction with forward models in Langevin dynamics. - Axel Modave, Théophile Chaumont-Frelet:
A hybridizable discontinuous Galerkin method with characteristic variables for Helmholtz problems. - (Withdrawn) LaneAF: Robust Multi-Lane Detection with Affinity Fields.
- Sachin K. Thekke Veettil, Gentian Zavalani, Uwe Hernandez Acosta, Ivo F. Sbalzarini, Michael Hecht:
Global Polynomial Level Sets for Numerical Differential Geometry of Smooth Closed Surfaces. - Zhaoxin Fan, Kaixing Yang, Min Zhang, Zhenbo Song, Hongyan Liu, Jun He:
SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation. - Torsten Linß, Natalia Kopteva, Goran Radojev, Martin Ossadnik:
A review of maximum-norm a posteriori error bounds for time-semidiscretisations of parabolic equations. - Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi:
Generative Colorization of Structured Mobile Web Pages. - Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng:
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks. - Shashi Bhushan Kotwal, Chinmoy Kundu, Sudhakar Modem, Mark F. Flanagan:
Transmitter Selection for Secrecy in Frequency-Selective Fading with Multiple Eavesdroppers and Wireless Backhaul Links. - Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Björn Stenger, Tong Lu:
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method. - Guozheng Lu, Yixi Cai, Nan Chen, Fanze Kong, Yunfan Ren, Fu Zhang:
Trajectory Generation and Tracking Control for Aggressive Tail-Sitter Flights. - Wonwoo Jo, Kyungshin Lee, Jaewon Baik, Sang-Sun Lee, Dongho Choi, Hyunkyoo Park:
DaDe: Delay-adaptive Detector for Streaming Perception. - Gaurav Sharma, Deepak Kumar Sharma, Adarsh Kumar:
Role of Cybersecurity and Blockchain in Battlefield of Things. - Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Weixian Lei, Yuchao Gu, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou:
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. - Alexander Engelmann, Sungho Shin, François Pacaud, Victor M. Zavala:
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. - Sonia Rani Gupta, Nikela Papadopoulou, Miquel Pericàs:
Accelerating CNN inference on long vector architectures via co-design. - Katsuki Kobayashi, Kazuki Maeda, Satoshi Tsujimoto:
An isospectral transformation between Hessenberg matrix and Hessenberg-bidiagonal matrix pencil without using subtraction. - Baltasar Trancón y Widemann, Markus Lepper:
Towards a Theory of Conversion Relations for Prefixed Units of Measure. - Harbir Antil, Patrick W. Dondl, Ludwig Striet:
Analysis of a sinc-Galerkin Method for the Fractional Laplacian. - Linfeng Du, Tingyuan Liang, Sharad Sinha, Zhiyao Xie, Wei Zhang:
FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs. - Yuanzhe Zhang, Shirui Pan, Jiangshan Yu:
TxAllo: Dynamic Transaction Allocation in Sharded Blockchain Systems. - Dina Reda Eldamak:
How to Choose the Best CMOS Technology for Your Application. - Federico Formica, Tony Fan, Akshay Rajhans, Vera Pantelic, Mark Lawford, Claudio Menghi:
Simulation-based Testing of Simulink Models with Test Sequence and Test Assessment Blocks. - Klaas Koerten, David A. Abbink, Arkady Zgonnikov:
Haptic Shared Control for Dissipating Phantom Traffic Jams. - Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith:
Metadata-guided Consistency Learning for High Content Images. - Oriol Barbany, Adrià Colomé, Carme Torras:
Deformable Surface Reconstruction via Riemannian Metric Preservation. - (Withdrawn) Synopsis: Sequential Decision Problems with Weak Feedback.
- Arun Verma:
Sequential Decision Problems with Weak Feedback. - Shixi Wang, Hai Bi, Yidu Yang:
The a posteriori error estimates and an adaptive algorithm of the FEM for transmission eigenvalues for anisotropic media. - Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musial:
Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds. - Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie:
DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders. - Simone Ferlin, Oliver Hohlfeld, Vaibhav Bajpai:
Reviewing Best Practices in Online Conferencing. - Madhumati Anand, Vyzag Ajith, Sanjula Sreekumar:
Taking off with Biodegradable Tensegrities: An Eco-friendly Emergency Medical Delivery Solution. - Jens H. Weber:
A Foundation for Functional Graph Programs: The Graph Transformation Control Algebra (GTA). 45-58 - Hans-Jörg Kreowski, Sabine Kuske, Aaron Lye, Aljoscha Windhorst:
A Graph-Transformational Approach for Proving the Correctness of Reductions between NP-Problems. 76-93 - Sebastian Ehmes, Maximilian Kratz, Andy Schürr:
Graph-Based Specification and Automated Construction of ILP Problems. 3-22 - Robert Söldner, Detlef Plump:
Towards Mechanised Proofs in Double-Pushout Graph Transformation. 59-75 - Mikolaj Bojanczyk:
On the growth rate of polyregular functions. - (Withdrawn) Towards Causal Credit Assignment.
- Brian Courtehoute, Detlef Plump:
Time and Space Measures for a Complete Graph Computation Model. 23-44 - Chaofan Ling, Junpei Zhong, Weihua Li:
Predictive Coding Based Multiscale Network with Encoder-Decoder LSTM for Video Prediction. - Henning Fernau, Florent Foucaud, Kevin Mann, Utkarsh Padariya, Rajath Rao K. N:
Parameterizing Path Partitions. - Muhammad Farhan Ahmed, Khayyam Masood, Vincent Frémont:
Active SLAM: A Review On Last Decade. - João Lourenço, António Rito Silva:
Monolith Development History for Microservices Identification: a Comparative Analysis. - Vasco Faria, António Rito Silva:
Code Vectorization and Sequence of Accesses Strategies for Monolith Microservices Identification. - Pedro Pereira, António Rito Silva:
Towards Transactional Causal Consistent Microservices Business Logic. - Michael X. Cao, Navneeth Ramakrishnan, Mario Berta, Marco Tomamichel:
Channel Simulation: Finite Blocklengths and Broadcast Channels. - Fabio Sozio, Mostafa Faghih Shojaei, Arash Yavari:
Optimal Elastostatic Cloaks. - Rishi Bommasani:
Evaluation for Change. - Nadav Cohen, Zeev Yampolsky, Itzik Klein:
Set-Transformer BeamsNet for AUV Velocity Forecasting in Complete DVL Outage Scenarios. - Rishi Bommasani, Percy Liang:
Trustworthy Social Bias Measurement. - Feilong Tang, Qiming Huang, Jinfeng Wang, Xianxu Hou, Jionglong Su, Jingxin Liu:
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation. - Josip Jukic, Jan Snajder:
Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis. - Robert D. Macredie, Martin J. Shepperd, Tommaso Turchi, Terry Young:
Exploring Student Engagement and Outcomes: Experiences from Three Cycles of an Undergraduate Module. - Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo C. Luvizon, Christian Theobalt:
Scene-aware Egocentric 3D Human Pose Estimation. - Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Weizhu Chen, Nan Duan:
GENIE: Large Scale Pre-training for Text Generation with Diffusion Model. - Supun Randeni, Michael Sacarny, Michael R. Benjamin, Michael S. Triantafyllou:
Morpheus: An A-sized AUV with morphing fins and algorithms for agile maneuvering. - Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu, Fuchun Sun:
Timestamp-Supervised Action Segmentation in the Perspective of Clustering. - Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang:
Reversible Column Networks. - Andrea Mariani, Gianluca Mariani, Diego Pennino, Maurizio Pizzonia:
Blockchain Scalability and Security: Communications Among Fast-Changing Committees Made Simple. - Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto:
Robust Meta-Representation Learning via Global Label Inference and Classification. - Sachin K. Thekke Veettil, Yuxi Zheng, Uwe Hernandez Acosta, Damar Wicaksono, Michael Hecht:
Multivariate Polynomial Regression of Euclidean Degree Extends the Stability for Fast Approximations of Trefethen Functions. - Ran Zhao, Yuyu Lu, Guang Shang Cheng, Wei Zhu, Jun Hu, Hakan Bagci:
Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation. - Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Amin Abken, Alireza Hassani:
Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems. - Ofek Pearl, Itai Lang, Yuhua Hu, Raymond A. Yeh, Rana Hanocka:
GeoCode: Interpretable Shape Programs. - Myriam Bounhas, Henri Prade, Gilles Richard:
Some recent advances in reasoning based on analogical proportions. - Paolo Perrone:
Markov Categories and Entropy. - Haiwen Huang, Andreas Geiger, Dan Zhang:
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World. - Razvan Barbulescu, Florent Jouve:
ECm And The Elliott-Halberstam Conjecture For Quadratic Fields. - Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. - David Kuric, Herke van Hoof:
Reusable Options through Gradient-based Meta Learning. - Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering based exploratory analysis of mixed-type data tables. - Moritz Heusinger, Christoph Raab, Fabrice Rossi, Frank-Michael Schleif:
Federated Learning - Methods, Applications and beyond. - Daniil E. Kirilenko, Anton Andreychuk, Aleksandr Panov, Konstantin S. Yakovlev:
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers. - Nicolas Morizet, Perceval Desforges, Christophe Geissler, Elodie Pahon, Samir Jemeï, Daniel Hissel:
Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks. - Marco Ferrante, Nicola Ferro, Norbert Fuhr:
Response to Moffat's Comment on "Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales". - Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. - Arnault Pachot, Céline Patissier:
Towards Sustainable Artificial Intelligence: An Overview of Environmental Protection Uses and Issues. - Fei Wu, Luoyu Chen:
Depth Estimation maps of lidar and stereo images. - Ruiwen Dong, Stephen Melczer, Marc Mezzarobba:
Computing error bounds for asymptotic expansions of regular P-recursive sequences. - Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. - Hakan Cevikalp, Hasan Saribas:
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces. - Wei Chen, Jun Hu, Min Zhang:
Nonconforming finite element methods of order two and order three for the Stokes flow in three dimensions. - Tian Dong, Ziyuan Zhang, Han Qiu, Tianwei Zhang, Hewu Li, Terry Wang:
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing. - Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard:
Towards Quantum-Enabled 6G Slicing. - Yuanbo Li, Yiqin Wang, Yi Chen, Ziming Yu, Chong Han:
N2-SAGE: Narrow-beam Near-field SAGE Algorithm for Channel Parameter Estimation in mmWave and THz Direction-scan Measurements. - Xiang He, Teng Wang, Lei Liu, Jianan Li, Zihang Su, Yingming Guo, Zhiying Tu, Hanchuan Xu, Zhongjie Wang:
RescureService: A Benchmark Microservice System for the Research of Mobile Edge and Cloud Computing. - Adrián Rodríguez-Muñoz, Antonio Torralba:
Aliasing is a Driver of Adversarial Attacks. - Shangsheng Wen, Manxi Liu, Yanyi Chen, Yirong Chen, Futong An, Yingcong Chen, Weipeng Guan:
Optical Bar Code for Internet Access Application based on Optical camera communication and Bluetooth Control. - Milos Ojdanic, Mike Papadakis, Mark Harman:
Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants. - Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek, Dan Klein, Pnina Soffer, Giancarlo Guizzardi:
Towards an Ontology-Driven Approach for Process-Aware Risk Propagation. - Beatrice Li, Arash Tavakoli, Arsalan Heydarian:
Occupant Privacy Perception, Awareness, and Preferences in Smart Office Environments. - Hriday Bavle, José Luis Sánchez-López, Muhammad Shaheer, Javier Civera, Holger Voos:
S-Graphs+: Real-time Localization and Mapping leveraging Hierarchical Representations. - Rafael Rêgo Drumond, Lukas Brinkmeyer, Lars Schmidt-Thieme:
Few-shot human motion prediction for heterogeneous sensors. - Kaicheng Yang, Ruxuan Zhang, Hua Xu, Kai Gao:
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences. - Filip Zamfirov:
A literature review on different types of empirically evaluated bug localization approaches. - Zihao Yang, Shaoqi Zheng, Shangkun Shen, Fei Han:
An efficient peridynamics-based statistical multiscale method for fracture in composite structure with randomly distributed particles. - Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot:
Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference. - Çagkan Yapar, Ron Levie, Gitta Kutyniok, Giuseppe Caire:
Dataset of Pathloss and ToA Radio Maps With Localization Application. - Yalin E. Sagduyu:
Adversarial Machine Learning and Defense Game for NextG Signal Classification with Deep Learning. - Sepide Saeedi, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo:
Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks. - Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon D. Plotkin:
Sum and Tensor of Quantitative Effects. - Yookoon Park, Mahmoud Azab, Bo Xiong, Seungwhan Moon, Florian Metze, Gourab Kundu, Kirmani Ahmed:
Normalized Contrastive Learning for Text-Video Retrieval. - Vahid Partovi Nia, Eyyüb Sari, Vanessa Courville, Masoud Asgharian:
Training Integer-Only Deep Recurrent Neural Networks. - Wenliang Liu, Kevin Leahy, Zachary Serlin, Calin Belta:
CatlNet: Learning Communication and Coordination Policies from CaTL+ Specifications. - Stefan Ainetter, Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit:
Automatically Annotating Indoor Images with CAD Models via RGB-D Scans. - Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia:
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. - Abonia Sojasingarayar, Ashish Patel:
Monocular 3D Object Detection using Multi-Stage Approaches with Attention and Slicing aided hyper inference. - Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Deniz Gündüz, Marina Petrova:
Device Selection for the Coexistence of URLLC and Distributed Learning Services. - Jesus Guerrero, Gongbo Liang, Izzat Alsmadi:
A Mutation-based Text Generation for Adversarial Machine Learning Applications. - Yuechun Gu, Keke Chen:
GAN-based Domain Inference Attack. - Jian Zhou, Björn Olofsson, Erik Frisk:
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainties Using Model Predictive Control. - Md. Tanvir Rouf Shawon, Raihan Tanvir, Humaira Ferdous Shifa, Susmoy Kar, Mohammad Imrul Jubair:
Jamdani Motif Generation using Conditional GAN. - Abuzer Yakaryilmaz:
Real-valued affine automata compute beyond Turing machines. - Hans Rosenberger, Bernhard Gäde, Ali Bereyhi, Doaa Ahmed, Vahid Jamali, Ralf R. Müller, Georg Fischer, Gaoning He, Mérouane Debbah:
A High-Level Comparison of Recent Technologies for Massive MIMO Architectures. - Ben Burnett, Sigal Gottlieb, Zachary J. Grant:
Stability Analysis and Performance Evaluation of Mixed-Precision Runge-Kutta Methods. - Steffen Wendzel, Tobias Schmidbauer, Sebastian Zillien, Jörg Keller:
Did You See That? A Covert Channel Exploiting Recent Legitimate Traffic. - Corrado Puligheddu, Jonathan D. Ashdown, Carla-Fabiana Chiasserini, Francesco Restuccia:
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems. - Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-centric Artificial Intelligence. - Víctor Suárez-Paniagua, Steven Derby, Tri Kurniawan Wijaya:
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base. - Pica Johansson, Florence Enock, Scott Hale, Bertie Vidgen, Cassidy Bereskin, Helen Z. Margetts, Jonathan Bright:
How can we combat online misinformation? A systematic overview of current interventions and their efficacy. - Gunnar Kudrjavets, Ayushi Rastogi, Jeff Thomas, Nachiappan Nagappan:
Who Ate My Memory? Towards Attribution in Memory Management. - Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. - Blair L. Bilodeau, Natasha Jaques, Pang Wei Koh, Been Kim:
Impossibility Theorems for Feature Attribution. - Giacomo Borraccini, Stefano Straullu, Alessio Giorgetti, Renato Ambrosone, Emanuele Virgillito, Andrea D'Amico, Rocco D'Ingillo, Francesco Aquilino, Antonino Nespola, Nicola Sambo, Filippo Cugini, Vittorio Curri:
Experimental Demonstration of Partially Disaggregated Optical Network Control Using the Physical Layer Digital Twin. - Václav Skala, Vit Ondracka:
S-patch: Modification of the Hermite parametric patch. - Rene Halver, Christoph Junghans, Godehard Sutmann:
Kokkos-Based Implementation of MPCD on Heterogeneous Nodes. - Abdulaziz Ahmed, Khalid Y. Aram, Salih Tutun:
A Study of Left Before Treatment Complete Emergency Department Patients: An Optimized Explanatory Machine Learning Framework. - Zhaohui Li, Shihao Yang, C. F. Jeff Wu:
Inference of Nonlinear Partial Differential Equations via Constrained Gaussian Processes. - Aleksa Stankovic:
Some Results on Approximability of Minimum Sum Vertex Cover. - Abdulaziz Ahmed, Mohammed Al-Maamari, Mohammad Firouz, Dursun Delen:
An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations. - Alexander V. Demin, Denis K. Ponomaryov:
Machine Learning with Probabilistic Law Discovery: A Concise Introduction. - Sasitharan Balasubramaniam, Samitha Somathilaka, Sehee Sun, Adrian Ratwatte, Massimiliano Pierobon:
Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges. - Simon Stock, Jochen Stiasny, Davood Babazadeh, Christian Becker, Spyros Chatzivasileiadis:
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. - Jean-François Chassagneux, Mohan Yang:
Convergence of particles and tree based scheme for singular FBSDEs. - Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. - Evin Pinar Örnek, Aravindhan K. Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari:
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments. - Yogiraj Mantri, Philipp Öffner, Mario Ricchiuto:
Fully well balanced entropy controlled DGSEM for shallow water flows: global flux quadrature and cell entropy correction. - Luca Maria Aiello, Sagar Joglekar, Daniele Quercia:
Multidimensional Tie Strength and Economic Development. - Soheyla Amirian, Husam Ghazaleh, Mehdi Assefi, Hilal Maradit Kremers, Hamid R. Arabnia, Johannes F. Plate, Ahmad P. Tafti:
Word Embedding Neural Networks to Advance Knee Osteoarthritis Research. - Margarita Chasapi, Pablo Antolin, Annalisa Buffa:
A localized reduced basis approach for unfitted domain methods on parameterized geometries. - Alif Ahmed, Farzana Ahmed Siddique, Kevin Skadron:
GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis. - Christopher J. MacLellan, Peter Matsakis, Pat Langley:
Efficient Induction of Language Models Via Probabilistic Concept Formation. - Greg Bodwin, Gary Hoppenworth, Ohad Trabelsi:
Bridge Girth: A Unifying Notion in Network Design. - Sajani Vithana, Sennur Ulukus:
Model Segmentation for Storage Efficient Private Federated Learning with Top r Sparsification. - Avinash Prabu, Renran Tian, Lingxi Li, Jialiang Le, Srinivasan Sundararajan, Saeed Barbat:
Peek into the Future Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles. - Zhong Ji, Junhua Hu, Deyin Liu, Yuanbo Lin Wu, Ye Zhao:
Asymmetric Cross-Scale Alignment for Text-Based Person Search. - Silvan Weder, Guillermo Garcia-Hernando, Áron Monszpart, Marc Pollefeys, Gabriel J. Brostow, Michael Firman, Sara Vicente:
Removing Objects From Neural Radiance Fields. - Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Kewen Wu:
On Differentially Private Counting on Trees. - Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. - Avinash Prabu, Dan Shen, Renran Tian, Stanley Y. P. Chien, Lingxi Li, Yaobin Chen, Rini Sherony:
A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment. - Krassimira Vlachkova:
Edge convex smooth interpolation curve networks with minimum L∞-norm of the second derivative. - Yinghao Xu, Menglei Chai, Zifan Shi, Sida Peng, Ivan Skorokhodov, Aliaksandr Siarohin, Ceyuan Yang, Yujun Shen, Hsin-Ying Lee, Bolei Zhou, Sergey Tulyakov:
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis. - Noga Mudrik, Adam S. Charles:
Multi-Lingual DALL-E Storytime. - Václav Skala, Vit Ondracka:
BS-Patch: Constrained Bezier Parametric Patch. - Sina Saadati, Mohammadreza Razzazi:
Natural Way of Solving a Convex Hull Problem. - Oswaldo Sebastian Peñaherrera-Pulla, Carlos Baena, Sergio Fortes, Raquel Barco:
ML-powered KQI estimation for XR services. A case study on 360-Video. - Matthijs A. Reukers, H. Peter Hofstee, Zaid Al-Ars:
A Toolchain for Streaming Dataflow Accelerator Designs for Big Data Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs. - Sophie Pavia, Juan Carlos Martínez Mori, Aryaman Sharma, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, Ayan Mukhopadhyay:
Designing Equitable Transit Networks. - Avinash Prabu, Niranjan Ravi, Lingxi Li:
A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process. - Avinash Prabu, Lingxi Li, Brian King, Yaobin Chen:
A Method for Crash Prediction and Avoidance Using Hidden Markov Models. - Lukas Einkemmer, Jingwei Hu, Jonas Kusch:
Asymptotic-preserving and energy stable dynamical low-rank approximation. - Daniel Gomes de Pinho Zanco, Leszek Szczecinski, Eduardo Vinicius Kuhn, Rui Seara:
A comprehensive analysis of the Elo rating algorithm: Stochastic model, convergence characteristics, design guidelines, and experimental results. - Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov:
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization. - Thomas Colcombet, Nathanaël Fijalkow, Florian Horn:
Playing Safe, Ten Years Later. - Hauke Sass, Arnold Reusken:
An Accurate and Robust Eulerian Finite Element Method for Partial Differential Equations on Evolving Surfaces. - Ioannis Z. Koukoutsidis:
Department-level comparison of universities' scientific output: A bibliometric study of Greek universities. - Thomas Koehler:
A Domain-Extensible Compiler with Controllable Automation of Optimisations. - Henrik K. E. Rosenberger, Benjamin Sanderse:
No pressure? Energy-consistent ROMs for the incompressible Navier-Stokes equations with time-dependent boundary conditions. - April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. - Fidel A. Guerrero-Peña, Heitor Rapela Medeiros, Thomas Dubail, Masih Aminbeidokhti, Eric Granger, Marco Pedersoli:
Re-basin via implicit Sinkhorn differentiation. - Yutaro Yamada, Yingtian Tang, Ilker Yildirim:
When are Lemons Purple? The Concept Association Bias of CLIP. - Pooja Chitkara, Morgane Rivière, Jade Copet, Frank Zhang, Yatharth Saraf:
Pushing the performances of ASR models on English and Spanish accents. - Simon Odense, Artur d'Avila Garcez:
A Semantic Framework for Neural-Symbolic Computing. - Dongdong Wang, Boqing Gong, Liqiang Wang:
On Calibrating Semantic Segmentation Models: Analysis and An Algorithm. - Haiyuan Li, Amin Emami, Karcius D. R. Assis, Antonis Vafeas, Ruizhi Yang, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou:
Energy-Efficient Baseband Function Deployments for Service-Oriented Open RAN. - Mikhail Sokolov, J. L. Storie, Christopher J. Henry, Christopher David Storie, J. Cameron, R. S. Ødegård, V. Zubinaite, S. Stikbakke:
Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas. - Alina Petukhova, Nuno Fachada:
MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification. - Zhichao Yang, Weisong Liu, Dan Berlowitz, Hong Yu:
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models. - Miquel Ferriol Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Fermi: Network Modeling with Graph Neural Networks. - Joshua W. Anderson, Luis Iñaki Alberro Encina, Tina George Karippacheril, Jonathan Hersh, Cadence Stringer:
A Topic Modeling Approach to Classifying Open Street Map Health Clinics and Schools in Sub-Saharan Africa. - Jack W. Miller, Charles O'Neill, Navid C. Constantinou, Omri Azencot:
Eigenvalue initialisation and regularisation for Koopman autoencoders. - Bo Zhou, Ruiwei Jiang, Siqian Shen:
Frequency-Secured Unit Commitment: Tight Approximation using Bernstein Polynomials. - Fernando Arévalo, M. Tahasanul Ibrahim, Christian Alison M. Piolo, Andreas Schwung:
Anomaly Detection using Ensemble Classification and Evidence Theory. - Shailja Thakur:
Security and Interpretability in Automotive Systems. - Zi Wang, Minglin Chen, Yulan Guo, Zhang Li, Qifeng Yu:
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints. - Amir Gilad, Aviram Imber, Benny Kimelfeld:
The Consistency of Probabilistic Databases with Independent Cells. - Jingwei Zhang, Saarthak Kapse, Ke Ma, Prateek Prasanna, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras:
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology. - Wuqi Zhang, Lili Wei, Shing-Chi Cheung, Yepang Liu, Shuqing Li, Lu Liu, Michael R. Lyu:
Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation. - Yaozong Mo, Chaofeng Li, Wenqi Ren, Shaopeng Shang, Wenwu Wang, Xiao-Jun Wu:
Unpaired Overwater Image Defogging Using Prior Map Guided CycleGAN. - Alexander Barg, Moshe Schwartz, Lev Yohananov:
Storage codes on triangle-free graphs with asymptotically unit rate. - Tung-Anh Nguyen, Jiayu He, Long Tan Le, Wei Bao, Nguyen Hoang Tran:
Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks. - Manik Dhar, Sivakanth Gopi:
A construction of Maximally Recoverable LRCs for small number of local groups. - Tao Wang, Nan Li:
Learning to Detect and Segment for Open Vocabulary Object Detection. - Byung-Doh Oh, William Schuler:
Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times? - Yuqiao Liu, Haipeng Li, Yanan Sun, Shuaicheng Liu:
DAS: Neural Architecture Search via Distinguishing Activation Score. - William Brannon, Yogesh Virkar, Brian Thompson:
Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing. - Fucai Ke, Weiqing Wang, Weicong Tan, Lan Du, Yuan Jin, Yujin Huang, Hongzhi Yin:
HiTSKT: A Hierarchical Transformer Model for Session-Aware Knowledge Tracing. - Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer:
Human Activity Recognition in an Open World. - Mengqi Yang, Jian Chen, Zhiguo Ding, Yuanwei Liu, Lu Lv, Long Yang:
Joint Power Allocation and Decoding Order Selection for NOMA Systems: Outage-Optimal Strategies. - Md. Tanvir Rouf Shawon, Raihan Tanvir, Md. Golam Rabiul Alam:
Bengali Handwritten Digit Recognition using CNN with Explainable AI. - Michael C. Chavrimootoo, Ethan Ferland, Erin Gibson, Ashley H. Wilson:
A Closer Look at Some Recent Proof Compression-Related Claims. - Ahmed Tanvir Mahdad, Cong Shi, Zhengkun Ye, Tianming Zhao, Yan Wang, Yingying Chen, Nitesh Saxena:
EarSpy: Spying Caller Speech and Identity through Tiny Vibrations of Smartphone Ear Speakers. - Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer:
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. - Weichao Shen, Yuan Dong, Zonghao Chen, Zhengyi Zhao, Yang Gao, Zhu Liu:
PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image. - Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li:
Graph Federated Learning with Hidden Representation Sharing. - Ruiyin Li, Peng Liang, Paris Avgeriou:
Warnings: Violation Symptoms Indicating Architecture Erosion. - Hyuckjin Jang, Taehei Kim, Seoyoung Oh, Jeongmi Lee, Sung-Hee Lee, Sang Ho Yoon:
Sense of Embodiment Inducement for People with Reduced Lower-body Mobility and Sensations with Partial-Visuomotor Stimulation. - Shaanan Cohney, Marc Cheong:
COVID Down Under: where did Australia's pandemic apps go wrong? - Zibo Wang, Pinghe Li, Chieh-Jan Mike Liang, Feng Wu, Francis Y. Yan:
Autothrottle: A Practical Framework for Harvesting CPUs from SLO-Targeted Microservices. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Monotonous Parameter Estimation of One Class of Nonlinearly Parameterized Regressions without Overparameterization. - Mohammad Javadian Farzaneh, Hossein Mahvash Mohammadi:
Implementation of a Blind navigation method in outdoors/indoors areas. - Chih-Chia Li, Wei-Yao Wang, Wei-Wei Du, Wen-Chih Peng:
Look Around! A Neighbor Relation Graph Learning Framework for Real Estate Appraisal. - Ayano Nakai-Kasai, Tadashi Wadayama:
Deep Unfolding-based Weighted Averaging for Federated Learning under Heterogeneous Environments. - Do Hoang Thai Duong, Nguyen Hong Son, Hung Le, Minh-Tien Nguyen:
Learning to Generate Questions by Enhancing Text Generation with Sentence Selection. - Di Cui, Siqi Wang, Yong Luo, Xingyu Li, Jie Dai, Lu Wang, Qingshan Li:
RMove: Recommending Move Method Refactoring Opportunities using Structural and Semantic Representations of Code. - Ruoyu Xu, Chongfeng Liu, Zhongzhong Cao, Yuquan Wang, Huihuan Qian:
A Manipulator-Assisted Multiple UAV Landing System for USV Subject to Disturbance. - Haoran Wang, Yan Zhu, Wenzheng Qin, Yizhe Zhang, Pinghong Zhou, Quanlin Li, Shuo Wang, Zhijian Song:
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset). - Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. - Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti:
Investigation of reinforcement learning for shape optimization of profile extrusion dies. - Neri Merhav:
A Universal Random Coding Ensemble for Sample-wise Lossy Compression. - Philipp Spilger, Elias Arnold, Luca Blessing, Christian Mauch, Christian Pehle, Eric Müller, Johannes Schemmel:
hxtorch.snn: Machine-learning-inspired Spiking Neural Network Modeling on BrainScaleS-2. - Ishita Goyal, Priyank Bhandia, Sanjana Dulam:
Finetuning for Sarcasm Detection with a Pruned Dataset. - Xuyang Na, Xuejun Xu:
Domain Decomposition Methods for Elliptic Problems with High Contrast Coefficients Revisited. - Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego:
Fast Event-based Optical Flow Estimation by Triplet Matching. - Rathinamala Vijay, Prabhakar. T. V.:
Mesh of Things (MoT) Network-Driven Anomaly Detection in Connected Objects. - Lemei Zhang, Peng Liu, Jon Atle Gulla:
Recommending on Graphs: A Comprehensive Review from Data Perspective. - Fabian Heimann, Christoph Lehrenfeld, Paul Stocker, Henry von Wahl:
Unfitted Trefftz discontinuous Galerkin methods for elliptic boundary value problems. - Oren Sultan, Rayen Dhahri, Yauheni Mardan, Tobias Eder, Georg Groh:
From Judgement's Premises Towards Key Points. - Jingyang Zhao, Mingyu Xiao:
Practical Algorithms with Guaranteed Approximation Ratio for TTP with Maximum Tour Length Two. - Muhammad Sami Irfan, Sagar Dasgupta, Mizanur Rahman:
Towards Transportation Digital Twin Systems for Traffic Safety and Mobility Applications: A Review. - Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? - Bhavuk Kalra:
Generalised agent for solving higher board states of tic tac toe using Reinforcement Learning. - Axel Séguin, Daniel Kressner:
Hermite interpolation with retractions on manifolds. - Elisa Gorla, Flavio Salizzoni:
Generalized column distances. - Abel C. H. Chen:
Exploring the Optimized Value of Each Hyperparameter in Various Gradient Descent Algorithms. - Paolo Amore:
Circle packing in regular polygons. - Joo Chan Lee, Daniel Rho, Jong Hwan Ko, Eunbyung Park:
FFNeRV: Flow-Guided Frame-Wise Neural Representations for Videos. - Ngoc Mai Monica Huynh, Fatemeh Chegini, Luca Franco Pavarino, Martin Weiser, Simone Scacchi:
Convergence analysis of BDDC preconditioners for hybrid DG discretizations of the cardiac cell-by-cell model. - Awnon Bhowmik:
Matrix Based Adaptive Short Block Cipher. - Florian Eppinger, Uta Störl:
NoSQL Database Tuning through Machine Learning. - Wei-Chang Yeh:
Novel Node-Based BAT for Finding All Minimal Cuts. - Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt:
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge. - Meenu Varghese, Satheesh Raj, Vigneshwaran Venkatesh:
Influence of AI in human lives. - Sebastian Grochola, Andrew Milliner:
A comparison, analysis, and provision of methods in identifying types of malware and means of malware detection and protection against them. - Williams Haruna, Toyin Ajiboro Aremu, Yetunde Ajao Modupe:
Defending against cybersecurity threats to the payments and banking system. - Osejobe Ehichoya, Chinwuba Christian Nnaemeka:
Evaluation of Static Analysis on Web Applications. - Amrut Kajave, Shazny Ahmed Hussain Nismy:
How Cyber Criminal Use Social Engineering To Target Organizations. - R. Sundara Rajan, Rini Dominic D., T. M. Rajalaxmi, L. Packiaraj:
Embedding into Special Classes of Cyclic Graphs and its Applications in VLSI Layout. - Chelsea R. Woodward:
Analysis of Integrating Blockchain Technologies into Multi-Agent Systems. - P. Levi, P. Gelhausen, G. Peters:
Capacity Studies for a Differential Growing Neural Gas. - Edward McDaid, Sarah McDaid:
Architecture and Knowledge Representation for Composable Inductive Programming. - Ilya Chugunov, Yuxuan Zhang, Felix Heide:
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography. - Xi Wang, Weixi Cheng, Wenliang Jia:
Structure-guided Image Outpainting. - Zhipeng Chang, Siddharth Jha, Yunfei Xia:
Linear features segmentation from aerial images. - Albert Nössig, Tobias Hell, Georg Moser:
Rule Learning by Modularity. - Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Channel charting based beamforming. - Jiang-Yao Luo, Liang Chen, Wei-Kun Chen, Jian-Hua Yuan, Yu-Hong Dai:
A Cut-and-solve Algorithm for Virtual Machine Consolidation Problem. - Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz:
The choice of scaling technique matters for classification performance. - Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations. - Yuri Gil Dantas, Simon Barner, Pei Ke, Vivek Nigam, Ulrich Schöpp:
Technical Report: Automating Vehicle SOA Threat Analysis using a Model-Based Methodology. - Lakshmi Bhanuprakash Reddy Konduru, Vijaya Lakshmi, Jaynarayan T. Tudu:
Approximate Scan Flip-flop to Reduce Functional Path Delay and Power Consumption. - Zhitong Yang, Xing Ma, Anqi Liu, Zheyu Zhang:
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection. - Soura Sana, Bankim C. Mandal:
Dirichlet-Neumann and Neumann-Neumann waveform relaxation algorithms for time fractional sub-diffusion and diffusion-wave equations. - Amritanshu Pandey:
Tutorial: Circuit-based Electromagnetic Transient Simulation. - Fotis Nikolaidis, Antony Chazapis, Manolis Marazakis, Angelos Bilas:
Event-Driven Testing For Edge Applications. - Vadim Borisov, Gjergji Kasneci:
Relational Local Explanations. - Sueda Taner, Christoph Studer:
Alternating Projections Method for Joint Precoding and Peak-to-Average-Power Ratio Reduction. - Runmin Cong, Ke Huang, Jianjun Lei, Yao Zhao, Qingming Huang, Sam Kwong:
Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360° Omnidirectional Image. - Ali Beikmohammadi:
Using MM principles to deal with incomplete data in K-means clustering. - Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin Neil Jones:
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models. - Narek Bojikian, Vera Chekan, Falko Hegerfeld, Stefan Kratsch:
Tight Bounds for Connectivity Problems Parameterized by Cutwidth. - Joris van der Hoeven:
Optimizing the half-gcd algorithm. - Emile van Krieken, Thiviyan Thanapalasingam, Jakub M. Tomczak, Frank van Harmelen, Annette ten Teije:
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference. - Aritra Bhowmik, Martin R. Oswald, Yu Wang, Nora Baka, Cees G. M. Snoek:
Detecting Objects with Graph Priors and Graph Refinement. - Ariah Klages-Mundt, Steffen Schuldenzucker:
Designing Autonomous Markets for Stablecoin Monetary Policy. - Shenglan Du, Nail Ibrahimli, Jantien E. Stoter, Julian F. P. Kooij, Liangliang Nan:
Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds. - Ying Xie, Dongping Song:
Text classification in shipping industry using unsupervised models and Transformer based supervised models. - Ha Manh Bui, Iliana Maifeld-Carucci:
Benchmark for Uncertainty & Robustness in Self-Supervised Learning. - (Withdrawn) Set Membership based Nonlinear Model Predictive Control.
- Wei Ji, Yechi Ma, Guangzhang Cui, Xiaotian Qin, Wei Hua:
Dynamic Speed Guidance for CAV Ramp Merging in Non-Cooperative Environment: An On-Site Experiment. - Boris Bellalta, Marc Carrascosa, Lorenzo Galati-Giordano, Giovanni Geraci:
Delay Analysis of IEEE 802.11be\\Multi-link Operation under Finite Load. - Avinash Prabu, Nitya Ranjan, Lingxi Li, Renran Tian, Stanley Y. P. Chien, Yaobin Chen, Rini Sherony:
SceNDD: A Scenario-based Naturalistic Driving Dataset. - Diego Nehab, Augusto Teixeira:
Permissionless Refereed Tournaments. - Ehsan Variani, Ke Wu, David Rybach, Cyril Allauzen, Michael Riley:
Alignment Entropy Regularization. - A. V. Baranov, E. A. Kiselev, Boris M. Shabanov, A. A. Sorokin, Pavel N. Telegin:
Comparison of Three Job Mapping Algorithms for Supercomputer Resource Managers. - Wietse M. Boon, Alessio Fumagalli, Anna Scotti:
Mixed and multipoint finite element methods for rotation-based poroelasticity. - Erik D. Demaine, Hiro Ito, Jayson Lynch, Ryuhei Uehara:
Computational Complexity of Flattening Fixed-Angle Orthogonal Chains. - Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C. Menell, Adnan H. Shahid, Yi-Chieh Chen, Nikita Chhabra, Wan-Ju Chao, Chieh-Ju Chao, Todd J. Schwedt, Imon Banerjee, Abeed Sarker:
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. - Derek Egolf, Stavros Tripakis:
Decoupled Fitness Criteria for Reactive Systems. - Ángela López-Cardona, Guillermo Bernárdez, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Proximal Policy Optimization with Graph Neural Networks for Optimal Power Flow. - Marvin Pförtner, Ingo Steinwart, Philipp Hennig, Jonathan Wenger:
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers. - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. - Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification with Small Datasets: Overview and Benchmark. - David Segura, Emil J. Khatib, Raquel Barco:
Evaluation of Mobile Network Slicing in a Logistics Distribution Center. - Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. - E. Marakis, U. Rührmair, M. Lachner, R. Uppu, Boris Skoric, Pepijn W. H. Pinkse:
Clones of the Unclonable: Nanoduplicating Optical PUFs and Applications. - Yu Qiao, James Pope:
Content Rating Classification for Fan Fiction. - Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. - Oleg Kiselyov, Toshihiro Nakayama:
Demo: New View on Plasma Fractals - From the High Point of Array Languages. - Sudeep Pasricha, Marilyn Wolf:
Ethical Design of Computers: From Semiconductors to IoT and Artificial Intelligence. - Luke Gessler, Amir Zeldes:
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning. - Ali Beikmohammadi:
NARS vs. Reinforcement learning: ONA vs. Q-Learning. - Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
An Exact Mapping From ReLU Networks to Spiking Neural Networks. - Andrew L. Orekhov, Elan Z. Ahronovich, Nabil Simaan:
Lie Group Formulation and Sensitivity Analysis for Shape Sensing of Variable Curvature Continuum Robots with General String Encoder Routing. - Tomer Galanti, András György, Marcus Hutter:
Generalization Bounds for Transfer Learning with Pretrained Classifiers. - Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. - Ashutosh Kumar Singh, Rishabh Gupta:
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment. - Moein Khalighi, Giulio Benedetti, Leo Lahti:
FdeSolver: A Julia Package for Solving Fractional Differential Equations. - Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu:
A Close Look at Spatial Modeling: From Attention to Convolution. - Seyed Mohammad Mahdi Seyed Sajadi, Hajar Atrianfar:
Dynamic Circular Formation Of Multi-Agent Systems With Obstacle Avoidance And Size Scaling: A Flocking Approach. - Kieran Didi, Matej Zecevic:
On How AI Needs to Change to Advance the Science of Drug Discovery. - Filippo Fabiani, Alberto Bemporad:
A learning-based approach to multi-agent decision-making. - Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. - Matej Zecevic, Moritz Willig, Jonas Seng, Florian Peter Busch:
Continual Causal Abstractions. - Cem M. Unsal, Rasit Onur Topaloglu:
On the Complexity of Generalized Discrete Logarithm Problem. - Petr Babkin, Nacho Navarro, Salwa Alamir, Sameena Shah:
Neural Transition-based Parsing of Library Deprecations. - Michael V. Klibanov, Jingzhi Li, Loc H. Nguyen, Vladimir G. Romanov, Zhipeng Yang:
Convexification Numerical Method for a Coefficient Inverse Problem for the Riemannian Radiative Transfer Equation. - Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly:
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. - Yangming Li:
Deep Causal Learning for Robotic Intelligence. - Yao Yao, Qihang Lin, Tianbao Yang:
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints. - Joyce A. Chew, Deanna Needell, Michael Perlmutter:
A Convergence Rate for Manifold Neural Networks. - Chigozie Uzochukwu Udeogu:
A Novel SOC Estimation for Hybrid Energy Pack using Deep Learning. - Georgios Batzolis, Jan Stanczuk, Carola-Bibiane Schönlieb:
Your diffusion model secretly knows the dimension of the data manifold. - Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair:
Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. - James E. Gallagher, Edward J. Oughton:
Assessing thermal imagery integration into object detection methods on ground-based and air-based collection platforms. - Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. - Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. - Xinyun Wang, Martin Haenggi:
Hausdorff Moment Transforms and Their Performance. - Carmine Scarpitta, Giulio Sidoretti, Andrea Mayer, Stefano Salsano, Ahmed Abdelsalam, Clarence Filsfils:
High Performance Delay Monitoring for SRv6 Based SD-WANs. - (Withdrawn) A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension.
- Dilip Arumugam, Shi Dong, Benjamin Van Roy:
Inclusive Artificial Intelligence. - Yan Gao, Chenggang Bai, Quan Quan:
Distributed Control within a Trapezoid Virtual Tube Containing Obstacles for UAV Swarm Subject to Speed Constraints. - Genki Osada, Tsubasa Takahashi, Budrul Ahsan, Takashi Nishide:
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty. - Gabriel Mantione-Holmes, Justin Leo, Jugal Kalita:
Utilizing Priming to Identify Optimal Class Ordering to Alleviate Catastrophic Forgetting. - Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri:
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. - Dan Liu, Xue Liu:
Hyperspherical Loss-Aware Ternary Quantization. - Dan Liu, Xue Liu:
Pruning On-the-Fly: A Recoverable Pruning Method without Fine-tuning. - Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. - Dan Liu, Xi Chen, Chen Ma, Xue Liu:
Hyperspherical Quantization: Toward Smaller and More Accurate Models. - Yuzhe Tang, Kai Li, Yibo Wang, Jiaqi Chen, Cheng Xu:
Efficiently Hardening SGX Enclaves against Memory Access Pattern Attacks via Dynamic Program Partitioning. - Arvind Pandit, Akash Njattuvetty, Ameer K. Mulla:
ROS-Based Multi-Agent Systems COntrol Simulation Testbed (MASCOT). - Wenxuan Ma, Xing Yan:
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning. - Avinash Prabu, Renran Tian, Stanley Y. P. Chien, Lingxi Li, Yaobin Chen, Rini Sherony:
Risk assessment and mitigation of e-scooter crashes with naturalistic driving data. - Shutong Pu, Guangchun Ruan, Xinfei Yan, Haiwang Zhong:
Transmission Congestion Management with Generalized Generation Shift Distribution Factors. - Wenjie Hao, Hongfei Xu, Lingling Mu, Hongying Zan:
Optimizing Deep Transformers for Chinese-Thai Low-Resource Translation. - Cipta Herwana, Abhishek Kadian:
Visualizing Information Bottleneck through Variational Inference. - Ramchander Rao Bhaskara, Roshan Thomas Eapen, Manoranjan Majji:
Differentiable Rendering for Pose Estimation in Proximity Operations. - Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang:
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. - Kaoru Yamamoto, Yutaka Yamamoto, Masaaki Nagahara:
Hypertracking and Hyperrejection: Control of Signals beyond the Nyquist Frequency. - Caihua Li, Seung-Seob Lee, Min Hong Yun, Lin Zhong:
MProtect: Operating System Memory Management without Access. - Liam Dugan, Daphne Ippolito, Arun Kirubarajan, Sherry Shi, Chris Callison-Burch:
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text. - Difeng Cai, Edmond Chow, Yuanzhe Xi:
Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach. - Rui Ma, Mengxi Guo, Yi Hou, Fan Yang, Yuan Li, Huizhu Jia, Xiaodong Xie:
Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanisms. - K. K. Krishnan Namboodiri, B. Sundar Rajan:
Combinatorial Multi-Access Coded Caching: Improved Rate-Memory Trade-off with Coded Placement. - Yuga Oishi, Ken Kaneiwa:
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks. - Tomasz Sluzalec, Mateusz Dobija, Anna Paszynska, Ignacio Muga, Maciej Paszynski:
Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. - Kaoru Yamamoto, Malcolm C. Smith:
Bounded Disturbance Amplification for Mass Chains with Passive Interconnection. - Maryam Babaei, Kimia Mohammadi Mohammadi, Zeinab Hajimohammadi, Kourosh Parand:
JDNN: Jacobi Deep Neural Network for Solving Telegraph Equation. - Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic:
Structure-Enhanced DRL for Optimal Transmission Scheduling. - Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
When Do Curricula Work in Federated Learning? - Wenjin Xie, Siyuan Liu, Xiaomeng Wang, Tao Jia:
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives. - Tobias Rohrer, Lilli Frison, Lukas Kaupenjohann, Katrin Scharf, Elke Hergenröther:
Deep Reinforcement Learning for Heat Pump Control. - Shang Zhao, Yanzhe Liu, Qiyuan Wang, Dai Sun, Rong Liu, S. Kevin Zhou:
MURPHY: Relations Matter in Surgical Workflow Analysis. - Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li:
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models. - Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi:
Polarimetric Multi-View Inverse Rendering. - Tanya Chowdhury, Razieh Rahimi, James Allan:
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank. - Tony A. Wood, Maryam Kamgarpour:
Multi-Agent Goal Assignment with Finite-Time Path Planning. - León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche:
Forecasting through deep learning and modal decomposition in multi-phase concentric jets. - Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong:
Frequency Regularization for Improving Adversarial Robustness. - Daniel P. Benalcazar, David A. Benalcazar, Andres Valenzuela:
Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation. - Zicheng Zhang, Yingjie Zhou, Wei Sun, Wei Lu, Xiongkuo Min, Yu Wang, Guangtao Zhai:
DDH-QA: A Dynamic Digital Humans Quality Assessment Database. - Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu:
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. - Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu:
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. - Gregor J. van den Doel, Just L. Herder, Davood Farhadi:
Harnessing Elastic Energy to Transfer Reciprocating Actuation into Rotary Motion. - Abu Adnan Sadi, Labib Chowdhury, Nursrat Jahan, Mohammad Newaz Sharif Rafi, Radeya Chowdhury, Faisal Ahamed Khan, Nabeel Mohammed:
LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification. - Parker C. Lusk, Devarth Parikh, Jonathan P. How:
GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. - Kyungduk Moon, Kangbok Lee, Loïc Paulevé:
Computational Complexity of Minimal Trap Spaces in Boolean Networks. - Abdelouadoud Kerarmi, Assia Kamal Idrissi, Amal El Fallah Seghrouchni:
An optimized fuzzy logic model for proactive maintenance. - Alice Cortinovis, Daniel Kressner, Yuji Nakatsukasa:
Speeding up Krylov subspace methods for computing f(A)b via randomization. - Ke Coby Wang, Michael K. Reiter:
Bernoulli honeywords. - Sina Saadati, Mohammadreza Razzazi:
Agent-based Modeling and Simulation of Human Muscle For Development of Software to Analyze the Human Gait. - Vaggos Chatziafratis, Konstantin Makarychev:
Phylogenetic CSPs are Approximation Resistant. - Md. Ismail Hossain, Mohammed Rakib, Mirza M. Lutfe Elahi, Nabeel Mohammed, Shafin Rahman:
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks. - Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov:
Unsupervised Instance and Subnetwork Selection for Network Data. - Lin Zhang, Rui Li:
A Large-scale Friend Suggestion Architecture. - Dan Li, Chunmei Wang, Junping Wang:
An Lp-primal-dual finite element method for first-order transport problems. - Mina Namazi, Duncan Ross, Xiaojie Zhu, Erman Ayday:
zkFaith: Soonami's Zero-Knowledge Identity Protocol. - Kandai Watanabe, Matthew Strong, Omer Eldar:
SHIRO: Soft Hierarchical Reinforcement Learning. - Zheyi Fan, Zhaohui Li, Jingyan Wang, Xiao Xiong, Qingpei Hu:
A Bayesian Robust Regression Method for Corrupted Data Reconstruction. - Muhammad Hassan, Yvon Maday, Yipeng Wang:
Analysis of the Single Reference Coupled Cluster Method for Electronic Structure Calculations: The Full Coupled Cluster Equations. - Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia:
GraphCast: Learning skillful medium-range global weather forecasting. - Zhi Yan, Li Sun, Tomás Krajník, Tom Duckett, Nicola Bellotto:
Towards Long-term Autonomy: A Perspective from Robot Learning. - Xingmeng Zhao, Ali Niazi, Anthony Rios:
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. - Xingmeng Zhao, Anthony Rios:
A Marker-based Neural Network System for Extracting Social Determinants of Health. - Sonam Singh, Anthony Rios:
Linguistic Elements of Engaging Customer Service Discourse on Social Media. - Oded Goldreich, Dana Ron:
Testing Distributions of Huge Objects. - Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, Shady M. K. Mohamed, Navid Mohajer, Mohammad Rokonuzzaman, Ibrahim Hossain:
A Comprehensive Review on Autonomous Navigation. - Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine:
Understanding the Complexity Gains of Single-Task RL with a Curriculum. - Teng Xue, Hakan Girgin, Teguh Santoso Lembono, Sylvain Calinon:
Demonstration-guided Optimal Control for Long-term Non-prehensile Planar Manipulation. - Rodolfo Valiente, Arash Raftari, Hossein Nourkhiz Mahjoub, Mahdi Razzaghpour, Syed K. Mahmud, Yaser P. Fallah:
Context-Aware Target Classification with Hybrid Gaussian Process prediction for Cooperative Vehicle Safety systems. - Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof:
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer. - Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting:
Escape times for subgraph detection and graph partitioning. - Weiyun Liang, Jing Xu, Xiao Jin:
TriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization. - Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Chen, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
SoC-Cluster as an Edge Server: an Application-driven Measurement Study. - Quanquan C. Liu:
A Note on Improved Results for One Round Distributed Clique Listing. - (Withdrawn) On rate of convergence of finite difference scheme for degenerate parabolic-hyperbolic PDE with Levy noise.
- Tianyi Yang, Cheryl Lee, Jiacheng Shen, Yuxin Su, Yongqiang Yang, Michael R. Lyu:
An Adaptive Resilience Testing Framework for Microservice Systems. - Shujian Cao, Lin Cui, Haipeng Liu:
Deep Cost-sensitive Learning for Wheat Frost Detection. - Xiaolong Shen, Zhedong Zheng, Yi Yang:
StepNet: Spatial-temporal Part-aware Network for Sign Language Recognition. - Haoxin Wang, Jiang (Linda) Xie, Muhana Magboul Ali Muslam:
FAIR: Towards Impartial Resource Allocation for Intelligent Vehicles with Automotive Edge Computing. - Václav Skala, Michal Smolik, Lukas Karlicek:
HS-Patch: A New Hermite Smart Bicubic Patch Modification. - Arezoo PariZanganeh, Ghazaleh Ghorbanzadeh, Zahra Nabizadeh-ShahreBabak, Nader Karimi, Shadrokh Samavi:
Adaptive Blind Watermarking Using Psychovisual Image Features. - Devdhar Patel, Hava T. Siegelmann:
QuickNets: Saving Training and Preventing Overconfidence in Early-Exit Neural Architectures. - Shuai Wang, Wenhan Gao, Quan Quan:
Differential Flatness of Lifting-Wing Quadcopters Subject to Drag and Lift for Accurate Tracking. - Wei Lu, Xia Wu, Yufei Wang, Xiwang Cao:
A general construction of regular complete permutation polynomials. - Qiling Wu, Jianchao Tan, Kun Xu:
PaletteNeRF: Palette-based Color Editing for NeRFs. - Chao Hu, Jian Yao, Weijie Wu, Weibin Qiu, Liqiang Zhu:
A Lightweight Reconstruction Network for Surface Defect Inspection. - Eli Shemuel, Oron Sabag, Haim H. Permuter:
Finite-State Channels with Feedback and State Known at the Encoder. - Filip S. Slijkhuis, Sander W. Keemink, Pablo Lanillos:
Closed-form control with spike coding networks. - Charul Rajput, B. Sundar Rajan:
On Cache-Aided Multi-User Private Information Retrieval with Small Caches. - Daria A. Sushnikova, Pavel Kharyuk, Ivan V. Oseledets:
FMM-Net: neural network architecture based on the Fast Multipole Method. - Hanzhi Chen, Fabian Manhardt, Nassir Navab, Benjamin Busam:
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation. - Yanan Wu, Pantelimon Stanica, Chunlei Li, Nian Li, Xiangyong Zeng:
Bivariate functions with low c-differential uniformity. - Hugo Lefeuvre, Vlad-Andrei Badoiu, Yi Chien, Felipe Huici, Nathan Dautenhahn, Pierre Olivier:
Assessing the Impact of Interface Vulnerabilities in Compartmentalized Software. - Yang Liu, Haiwei Dong, Longyu Zhang, Abdulmotaleb El-Saddik:
Technical Evaluation of HoloLens for Multimedia: A First Look. - Kaitao Meng, Qingqing Wu:
Intelligent Surface Empowered Sensing and Communication: A Novel Mutual Assistance Design. - Yufan Zhou, Haiwei Dong, Abdulmotaleb El-Saddik:
Learning to Estimate 3D Human Pose from Point Cloud. - Israel Leyva-Mayorga, Marc Martinez-Gost, Marco Moretti, Ana I. Pérez-Neira, Miguel Ángel Vázquez, Petar Popovski, Beatriz Soret:
Satellite edge computing for real-time and very-high resolution Earth observation. - Yanjun Li, Hai Bi:
A locking-free discontinuous Galerkin method for linear elastic Steklov eigenvalue problem. - Yehonathan Refael, Iftach Arbel, Wasim Huleihel:
Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization. - Behzad Nourani-Koliji, Saeed Ghoorchian, Setareh Maghsudi:
Linear Combinatorial Semi-Bandit with Causally Related Rewards. - Dongkun Wang, Wei Fan, Pengyang Wang, Pengfei Wang, Dongjie Wang, Denghui Zhang, Yanjie Fu:
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations. - Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Arun Ravindran, Hamed Tabkhi:
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety. - Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi:
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages. - Ozgenur Kavas-Torris, Levent Guvenç:
Dynamic Speed Harmonization. - Abdelhamid Salem, Christos Masouros, Fan Liu, David López-Pérez:
Rethinking Dense Cells for Integrated Sensing and Communications: A Stochastic Geometric View. - Nurdagül Anbar, Tekgül Kalyci, Wilfried Meidl, Constanza Riera, Pantelimon Stanica:
P℘N functions, complete mappings and quasigroup difference sets. - Ziqing Li, Xuexin Yu, Xiaocong Lian, Yifeng Wang, Xiangyang Ji:
Human Health Indicator Prediction from Gait Video. - Tiange Luo, Honglak Lee, Justin Johnson:
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. - Joshua Midha:
Search, Structure, and Sentiment: A Comparative Analysis of Network Opinion in Different Query Types on Twitter. - Ruochu Yang, Mengxue Hou, Chad Lembke, Catherine R. Edwards, Fumin Zhang:
Anomaly Detection of Underwater Gliders Verified by Deployment Data. - Franziska Herbert, Steffen Becker, Annalina Buckmann, Marvin Kowalewski, Jonas Hielscher, Leonie Schaewitz, Jennifer Friedauer, Yasemin Acar, Markus Dürmuth, M. Angela Sasse:
Talking to the Overlooked: A Nationwide Telephone Survey with Four Groups Under-represented in Privacy and Security Studies. - Ibtihel Amara, Nazanin Mohammadi Sepahvand, Brett H. Meyer, Warren J. Gross, James J. Clark:
BD-KD: Balancing the Divergences for Online Knowledge Distillation. - (Withdrawn) Refined Edge Usage of Graph Neural Networks for Edge Prediction.
- Jiahao Weng, Haoran Xie:
Interactive Layout Drawing Interface with Shadow Guidance. - Nima Rahimi Foroushaani, Bart Jacobs:
Modular Formal Verification of Rust Programs with Unsafe Blocks. - Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji:
SMMix: Self-Motivated Image Mixing for Vision Transformers. - Kanishak Vaidya, B. Sundar Rajan:
Cache-Aided Multi-User Private Information Retrieval using PDAs. - Xiaodong Feng, Yue Qian, Wanfang Shen:
MC-Nonlocal-PINNs: handling nonlocal operators in PINNs via Monte Carlo sampling. - Junfan Li, Shizhong Liao:
Improved Kernel Alignment Regret Bound for Online Kernel Learning. - Zijian Zhang, Zhou Zhao, Zhijie Lin:
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models. - Minquan Cheng, Jinwei Xu, Mingming Zhang, Youlong Wu:
Coded Caching Schemes for Two-dimensional Caching-aided Ultra-Dense Networks. - Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang:
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks. - Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. - Yaonan Zhu, Shukrullo Nazirjonov, Bingheng Jiang, Jacinto Colan, Tadayoshi Aoyama, Yasuhisa Hasegawa, Boris Belousov, Kay Hansel, Jan Peters:
Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation. - Jiang Yu Nguwi, Guillaume Penent, Nicolas Privault:
Numerical solution of the incompressible Navier-Stokes equation by a deep branching algorithm. - Narine Kokhlikyan, Bilal Alsallakh, Fulton Wang, Vivek Miglani, Oliver Aobo Yang, David Adkins:
Bias Mitigation Framework for Intersectional Subgroups in Neural Networks. - Shangeth Rajaa, Swaraj Dalmia, Kumarmanas Nethil:
Skit-S2I: An Indian Accented Speech to Intent dataset. - Ronglai Zuo, Brian Mak:
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal. - Yechun Tang, Xiaoxia Cheng, Weiming Lu:
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment. - Xinyi Wang, Jianteng Peng, Sufang Zhang, Bihui Chen, Yi Wang, Yandong Guo:
A Survey of Face Recognition. - Ali Yavari, Parisa Janjani, Sayeh Motavaseli, Seyran Weysi, Soraya Siabani, Mohammad Rouzbahani:
GWO-FI: A novel machine learning framework by combining Gray Wolf Optimizer and Frequent Itemsets to diagnose and investigate effective factors on In-Hospital Mortality and Length of Stay among Kermanshahian Cardiovascular Disease patients. - Rui Yang, Lei Zheng, Jiesen Pan, Hui Cheng:
Learning-based Predictive Path Following Control for Nonlinear Systems Under Uncertain Disturbances. - Fengrui Tian, Shaoyi Du, Yueqi Duan:
MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos. - Simon DeKeyser, Casimir Morobé, Malte Mittendorf:
Towards Improved Prediction of Ship Performance: A Comparative Analysis on In-service Ship Monitoring Data for Modeling the Speed-Power Relation. - Julian Marx, Jonas Rieskamp, Milad Mirbabaie:
"Just a Normal Day in the Metaverse" - Distraction Conflicts of Knowledge Work in Virtual Environments. - Davide Cacciarelli, Murat Kulahci, John Tyssedal:
Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders. - Cheng Shi, Liming Pan, Hong Hu, Ivan Dokmanic:
Statistical Mechanics of Generalization In Graph Convolution Networks. - Ajinkya K. Mulay:
LOCKS: User Differentially Private and Federated Optimal Client Sampling. - Abdul Quamar, Vasilis Efthymiou, Chuan Lei, Fatma Özcan:
Natural Language Interfaces to Data. - Giuseppe Stragapede, Paula Delgado-Santos, Ruben Tolosana, Rubén Vera-Rodríguez, Richard M. Guest, Aythami Morales:
TypeFormer: Transformers for Mobile Keystroke Biometrics. - Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza:
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine. - Ahmet Alp Kindiroglu, Metehan Yalçin, Furkan Burak Bagci, Mahiye Uluyagmur Öztürk:
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images. - Johannes Pöppelbaum, Andreas Schwung:
Quaternion Backpropagation. - Yusuke Yamazaki, Shoichi Hasegawa:
Navigation Method Enhancing Music Listening Experience by Stimulating Both Neck Sides with Modulated Music Vibration. - Jianda Chen, Sinno Jialin Pan:
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. - Marco Antonio Stranisci, Giuseppe Spillo, Cataldo Musto, Viviana Patti, Rossana Damiano:
The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers. - Wenzheng Song, Ran Yan, Boshu Lei, Takayuki Okatani:
SuperGF: Unifying Local and Global Features for Visual Localization. - Rudolf Reiter, Armin Nurkanovic, Jonathan Frey, Moritz Diehl:
Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC. - Xingxing Xie, Gong Cheng, Qingyang Li, Shicheng Miao, Ke Li, Junwei Han:
Fewer is More: Efficient Object Detection in Large Aerial Images. - Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan:
Large Language Models Encode Clinical Knowledge. - Xiao-Pu Han, Fen Lin, Jonathan J. H. Zhu, Tarik Hadzibeganovic:
Universality of preference behaviors in online music-listener bipartite networks: A Big Data analysis. - Musbahu Mohammed Adam, Liqiang Zhao, Kezhi Wang, Zhu Han:
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control. - Jiwei Wei, Yang Yang, Zeyu Ma, Jingjing Li, Xing Xu, Heng Tao Shen:
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning. - Kafeng Wang, Pengyang Wang, Chengzhong Xu:
Toward Efficient Automated Feature Engineering. - Tatsuya Hayashi, Naoki Ito, Koji Tabata, Atsuyoshi Nakamura, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki:
Gaussian Process Classification Bandits. - Ishtiaque Ahmed Showmik, Tahsina Farah Sanam, Hafiz Imtiaz:
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN. - Wei Ji, Long Chen, Yinwei Wei, Yiming Wu, Tat-Seng Chua:
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding. - Indibar Debnath, Ashutosh Singh, Om Prakash, Abdollah Alhevaz:
Quantum Codes from additive constacyclic codes over a mixed alphabet and the MacWilliams identities. - Rushil Joshi, Ethan Adams, Matthew R. Ziemann, Christopher A. Metzler:
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery. - Bumgeun Park, Taeyoung Kim, Woohyeon Moon, Luiz Felipe Vecchietti, Dongsoo Har:
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error. - Musengamana Jean de Dieu, Peng Liang, Mojtaba Shahin, Chen Yang, Zengyang Li:
Mining Architectural Information: A Systematic Mapping Study. - Deng Li, Aming Wu, Yahong Han, Qi Tian:
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models. - Peiyu Chen, Weipeng Guan, Peng Lu:
ESVIO: Event-based Stereo Visual Inertial Odometry. - Tong Wei, Yash Patel, Jiri Matas, Daniel Barath:
Fully Differentiable RANSAC. - Konark Modi, Lakshmipathi Devaraj:
Advancements in Biometric Technology with Artificial Intelligence. - Angelot Behajaina, Martino Borello, Javier de la Cruz, Wolfgang Willems:
Twisted skew G-codes. - Qihao Zhu, Xinyu Zhang, Jianxi Luo:
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers. - Neeraj Gangwar, Nickvash Kani:
Highlighting Named Entities in Input for Auto-Formulation of Optimization Problems. - Andrea Cavallo, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto, Luca Vassio:
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance. - Teruki Nakahara, Taketoshi Ushiama:
Personalized Prediction of Offensive News Comments by Considering the Characteristics of Commenters. - Brittany Terese Fasy, Samuel Micka, David L. Millman, Anna Schenfisch, Lucia Williams:
Efficient Graph Reconstruction and Representation Using Augmented Persistence Diagrams. - Ngan Duong Thi Thuy, Duy-Nam Bui, Manh Duong Phung, Hung Pham Duy:
Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control. - Fahmid Sadeque, Fariba Fateh, JiangBiao He, Behrooz Mirafzal:
Adaptive Control of Surge Impedance for Electric Motors in Motor Drive Systems. - Thanh Nguyen Canh, Truong Son Nguyen, Cong Hoang Quach, Xiem HoangVan, Manh Duong Phung:
Multisensor Data Fusion for Reliable Obstacle Avoidance. - Lynnette Hui Xian Ng, Kathleen M. Carley:
A Combined Synchronization Index for Grassroots Activism on Social Media. - Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang:
Packing Privacy Budget Efficiently. - Elena Di Lavore, Pawel Sobocinski:
Monoidal Width. - Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao:
Saliency-Augmented Memory Completion for Continual Learning. - Roozbeh Aghili, Heng Li, Foutse Khomh:
Studying the Characteristics of AIOps Projects on GitHub. - Toni Sayah, Georges Semaan, Faouzi Triki:
A Posteriori error estimates for Darcy-Forchheimer's problem coupled with the convection-diffusion-reaction equation. - Jiayi Meng, Jingqi Huang, Y. Charlie Hu, Yaron Koral, Xiaojun Lin, Muhammad Shahbaz, Abhigyan Sharma:
Characterizing and Modeling Control-Plane Traffic for Mobile Core Network. - Shintaro Nakamura, Han Bao, Masashi Sugiyama:
Robust computation of optimal transport by β-potential regularization. - Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann:
DSI2I: Dense Style for Unpaired Image-to-Image Translation. - Shenghe Huang, Haijun Yu:
Improved Laguerre Spectral Methods with Less Round-off Errors and Better Stability. - Yaniv Sadeh, Ori Rottenstreich, Haim Kaplan:
Codes for Load Balancing in TCAMs: Size Analysis. - Di Wang, Simon X. Yang:
Intelligent Feature Extraction, Data Fusion and Detection of Concrete Bridge Cracks: Current Development and Challenges. - Vinayak Gupta:
Modeling Time-Series and Spatial Data for Recommendations and Other Applications. - Harsh Agarwal, Heena Rathore:
Novel Reinforcement Learning Algorithm for Suppressing Synchronization in Closed Loop Deep Brain Stimulators. - Thariq Khalid, Mohammed Yahya Hakami, Riad Souissi:
PMODE: Prototypical Mask based Object Dimension Estimation. - Yaniv Sadeh:
On Ranges and Partitions in Optimal TCAMs. - Rufai Yusuf Zakari, Jim Wilson Owusu, Hailin Wang, Ke Qin, Zaharaddeen Karami Lawal, Yuezhou Dong:
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges. - Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Hercules Against Data Series Similarity Search. - Esha Shandilya, Jacalyn DeFeo:
Leveraging Collaboration for Multifaceted Design and Product Teams: A Financial Perspective. - Weiming Wang, Fred van Keulen, Jun Wu:
Fabrication Sequence Optimization for Minimizing Distortion in Multi-Axis Additive Manufacturing. - Karima Echihabi, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas:
ProS: Data Series Progressive k-NN Similarity Search and Classification with Probabilistic Quality Guarantees. - Muhammad Lutfor Rahman, Daniel Timko, Hamid Wali, Ajaya Neupane:
Users really do respond to smishing. - Diego Maupomé, Fanny Rancourt, Thomas Soulas, Alexandre Lachance, Marie-Jean Meurs, Desislava Aleksandrova, Olivier Brochu Dufour, Igor Pontes, Rémi Cardon, Michel Simard, Sowmya Vajjala:
Automatic Text Simplification of News Articles in the Context of Public Broadcasting. - Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik:
Behavioral Cloning via Search in Video PreTraining Latent Space. - Mohammed Abuzamak, Hisham A. Kholidy:
UAV Based 5G Network: A Practical Survey Study. - Negin Heravi, Heather Culbertson, Allison M. Okamura, Jeannette Bohg:
Development and Evaluation of a Learning-based Model for Real-time Haptic Texture Rendering. - Nicholas R. Sarantinos:
Teamwork under extreme uncertainty: AI for Pokemon ranks 33rd in the world. - Xiang Li, Rabih Younes:
Recovering Surveillance Video Using RF Cues. - Kihong Kim, Yunho Kim, Seokju Cho, Junyoung Seo, Jisu Nam, Kyuchul Lee, Seungryong Kim, Kwanghee Lee:
DiffFace: Diffusion-based Face Swapping with Facial Guidance. - Geoffrey E. Hinton:
The Forward-Forward Algorithm: Some Preliminary Investigations. - Go Kato, Mikio Fujiwara, Toyohiro Tsurumaru:
Information-theoretically secure equality-testing protocol with dispute resolution. - Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. - Angela Li, Guanqun Song, Ting Zhu:
A Miniscule Survey on Blockchain Scalability. - Huong Ha, Zongwen Fan, Hongyu Zhang:
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks. - Chantal Klinkhammer, Robert Plato:
Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions. - Chonghe Zhao, Taotao Wang, Shengli Zhang, Soung Chang Liew:
HCB: Enabling Compact Block in Ethereum Network with Secondary Pool and Transaction Prediction. - Jinhao Li, Changlong Wang, Hao Wang:
Deep Reinforcement Learning for Wind and Energy Storage Coordination in Wholesale Energy and Ancillary Service Markets. - Le Cai, Sam Ferguson, Haiyan Lu, Gengfa Fang:
Feature Selection Approaches for Optimising Music Emotion Recognition Methods. - Tim Johnson, Nick Obradovich:
Measuring an artificial intelligence agent's trust in humans using machine incentives. - Tomer Wullach, Shlomo E. Chazan:
Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation. - Tanvi Verma, Pradeep Varakantham:
Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization. - Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi:
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. - Tushar Gaur, Gopalkrishna Hegde, Talabatulla Srinivas:
Advanced Routing Algorithms for General Purpose Photonic Processors. - Sushmitha Shree S, Avhishek Chatterjee, Krishna P. Jagannathan:
Finite Time Bounds for Stochastic Bounded Confidence Dynamics. - Erna Begovic, Lana Perisa:
CP decomposition and low-rank approximation of antisymmetric tensors. - Shimin Gong, Leiyang Cui, Bo Gu, Bin Lyu, Dinh Thai Hoang, Dusit Niyato:
Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-aided and Wireless-powered Wireless Networks. - Jasdeep Singh Grover, Bhavesh Gawri, Ruskin Raj Manku:
DeepCuts: Single-Shot Interpretability based Pruning for BERT. - Shimin Gong, Meng Wang, Bo Gu, Wenjie Zhang, Dinh Thai Hoang, Dusit Niyato:
Bayesian Optimization Enhanced Deep Reinforcement Learning for Trajectory Planning and Network Formation in Multi-UAV Networks. - Václav Skala:
Poseidon: Non-server WEB Forms Off-line Processing System. - Huadeng Wang, Zhipeng Liu, Rushi Lan, Zhenbing Liu, Xiaonan Luo, Xipeng Pan, Bingbing Li:
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification. - Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. - Anand Louis, Rameesh Paul, Arka Ray:
Sparse Cuts in Hypergraphs from Random Walks on Simplicial Complexes. - Yi Song, Chuanzong Zhang, Xinhua Lu, Fabio Saggese, Zhongyong Wang:
Hybrid Message Passing Algorithm for Downlink FDD Massive MIMO-OFDM Channel Estimation. - Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. - Daniele Boffi, Fabio Credali, Lucia Gastaldi, Simone Scacchi:
A parallel solver for fluid structure interaction problems with Lagrange multiplier. - Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós:
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination. - Pezhman Abdolahnezhad, Aghil Yousefi-Koma, Amirhosein Vedadi, Kasra Sinaei, Behnam Maleki, Milad Shafiee:
Online Bipedal Locomotion Adaptation for Stepping on Obstacles Using a Novel Foot Sensor. - Bo Chen, Zhiwei Hu, Zhilong Ji, Jinfeng Bai, Wangmeng Zuo:
Position-Aware Contrastive Alignment for Referring Image Segmentation. - Kei-Sing Ng, Qingchen Wang:
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher. - Reza Hooshmand, Farhad Naserizadeh, Jalil Mazloum:
Hardware Implementation of a Polar Code-based Public Key Cryptosystem. - Igor Razgon:
FPT algoritms providing constant ratio approximation of hypertree width parameters for hypergraphs of bounded rank. - Jiaming Ye, Mulong Xie, Siyuan Chen, Fuyuan Zhang, Lei Ma, Zhenchang Xing, Jianjun Zhao:
Towards Benchmarking GUI Compatibility Testing on Mobile Applications. - Emanuele Sansone, Robin Manhaeve:
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning. - Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, Dell Zhang:
A Survey on Knowledge-Enhanced Pre-trained Language Models. - Andreas D. Lauritzen, My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm:
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. - Ron Ofir, Alexander I. Ovseevich, Michael Margaliot:
Contraction and k-contraction in Lurie systems with applications to networked systems. - Maarten Marx:
The most general manner to injectively align true and predicted segments. - Puru Sharma, Cheng-Kai Lim, Dehui Lin, Yash Pote, Djordje Jevdjic:
Efficiently Supporting Hierarchy and Data Updates in DNA Storage. - Ju-Bong Kim, Ho-bin Choi, Youn-Hee Han:
Strangeness-driven Exploration in Multi-Agent Reinforcement Learning. - Jiajing Wu, Kaixin Lin, Dan Lin, Ziye Zheng, Huawei Huang, Zibin Zheng:
Financial Crimes in Web3-empowered Metaverse: Taxonomy, Countermeasures, and Opportunities. - Wang Qi, Rui Liu, Yuan Zuo, Yong Chen, Dell Zhang:
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence. - Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel:
Scaling Painting Style Transfer. - Abdullah Hamdi, Faisal AlZahrani, Silvio Giancola, Bernard Ghanem:
MVTN: Learning Multi-View Transformations for 3D Understanding. - Dingzirui Wang, Longxu Dou, Wanxiang Che:
A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions. - Huaming Wang, Jianwei Fei, Yunshu Dai, Lingyun Leng, Zhihua Xia:
General GAN-generated image detection by data augmentation in fingerprint domain. - Vahab B. Narouie, Henning Wessels, Ulrich Römer:
Inferring Displacement Fields from Sparse Measurements Using the Statistical Finite Element Method. - Alexander Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli:
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods. - Yang Li, Fanjin Bu, Yuanzheng Li, Chao Long:
Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach. - Antonis Sidiropoulos, Zoe Doulgeri:
Efficient DMP generalization to time-varying targets, external signals and via-points. - Felipe Gómez-Cuba, Gonzalo Feijoo-Rodríguez, Nuria González-Prelcic:
Clock and Orientation-Robust Simultaneous Radio Localization and Mapping at Millimeter Wave Bands. - Antonio Ruiz-Martínez, Linda J. Castañeda, Jesualdo Tomás Fernández-Breis:
A systematic literature review on the development and use of mobile learning (web) apps by early adopters. - Zhuoyi Tan, Hizmawati Madzin, Zeyu Ding:
Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment. - Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou:
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing. - Zixiao Wang, Junwu Weng, Chun Yuan, Jue Wang:
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos. - Reza Azad, René Arimond, Ehsan Khodapanah Aghdam, Amirhossein Kazerouni, Dorit Merhof:
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation. - Gianfranco Lombardo, Stefano Cagnoni, Stefano Cavalli, Juan José Contreras Gonzáles, Francesco Monica, Monica Mordonini, Michele Tomaiuolo:
Anomaly detection in laser-guided vehicles' batteries: a case study. - Zixuan Ye, Yutong Dai, Chaoyi Hong, Zhiguo Cao, Hao Lu:
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting. - Robert Barnett, Federico Municchi, John King, Matteo Icardi:
Electrochemical transport modelling and open-source simulation of pore-scale solid-liquid systems. - Madalina Olteanu, Fabrice Rossi, Florian Yger:
Challenges in anomaly and change point detection. - Valentina Zelaya Mendizábal, Marc Boullé, Fabrice Rossi:
Fast and fully-automated histograms for large-scale data sets. - Eugene Lee, Lien-Feng Hsu, Evan Chen, Chen-Yi Lee:
Cross-Resolution Flow Propagation for Foveated Video Super-Resolution. - Sean P. Carney, Arnav Gangal, Luis Kim:
Physics informed neural networks for elliptic equations with oscillatory differential operators. - Jimmy Lin:
Building a Culture of Reproducibility in Academic Research. - Stanley Bryan Z. Hua, Mandy Rickard, John Weaver, Alice X. Xiang, Daniel Alvarez, Kyla N. Velear, Kunj Sheth, Gregory E. Tasian, Armando J. Lorenzo, Anna Goldenberg, Lauren Erdman:
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive Hydronephrosis. - M. Z. Naser:
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering. - Tinghao Zhang, Kwok-Yan Lam, Jun Zhao, Feng Li, Huimei Han, Norziana Jamil:
Enhancing Federated Learning with spectrum allocation optimization and device selection. - Rahul Goel, Dhawal Sirikonda, Saurabh Saini, P. J. Narayanan:
Interactive Segmentation of Radiance Fields. - Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister:
NeRN - Learning Neural Representations for Neural Networks. - Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite:
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. - Yuanhao Wei, Guy E. Blelloch, Panagiota Fatourou, Eric Ruppert:
Practically and Theoretically Efficient Garbage Collection for Multiversioning. - Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. - Ashkan Haji Hosseinloo, Saleh Nabi, Anette E. Hosoi, Munther A. Dahleh:
Data-driven control of COVID-19 in buildings: a reinforcement-learning approach. - Woo-Young Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh:
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning. - Aljoscha Meyer:
Range-Based Set Reconciliation and Authenticated Set Representations. - Hans-Martin Heyn, Eric Knauss, Patrizio Pelliccione:
A Compositional Approach to Creating Architecture Frameworks with an Application to Distributed AI Systems. - Olga Slizovskaia, Jordi Janer, Pritish Chandna, Oscar Mayor:
Voice conversion with limited data and limitless data augmentations. - Raziyeh Takbiri, Sajad Daei:
Distribution-aware 𝓁1 Analysis Minimization. - Tianyi Xu, Ding Zhang, Zizhan Zheng:
Online Learning for Adaptive Probing and Scheduling in Dense WLANs. - Ronan Keane, Huaizhu Oliver Gao:
Variance Reduction for Score Functions Using Optimal Baselines. - Hao Zhen, Yucheng Shi, Jidong J. Yang, Javad Mohammadpour Vehni:
Co-supervised learning paradigm with conditional generative adversarial networks for sample-efficient classification. - Edward Y. Chang:
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions. - Yongcan Huang, Jidong J. Yang:
Semi-supervised multiscale dual-encoding method for faulty traffic data detection. - Yi Shi, Yalin E. Sagduyu:
Sensing-Throughput Tradeoffs with Generative Adversarial Networks for NextG Spectrum Sharing. - Sudipto Paul, Md Taimur Ahad, Md. Mahedi Hasan:
Brain Cancer Segmentation Using YOLOv5 Deep Neural Network. - Xiaojun Xu, Yue Yu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li:
EDoG: Adversarial Edge Detection For Graph Neural Networks. - Joachim Moortgat, Ziwei Li, Michael Durand, Ian M. Howat, Bidhyananda Yadav, Chunli Dai:
Deep Learning Models for River Classification at Sub-Meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery. - Miguel Rodríguez-Pérez, Sergio Herrería-Alonso, Andrés Suárez-González, José Carlos López-Ardao, Raúl Fernando Rodríguez Rubio:
Cache Placement in an NDN Based LEO Satellite Network Constellation. - Olivier Massicot, Cédric Langbort:
Almost-Bayesian Quadratic Persuasion (Extended Version). - Daniel Boiar, Thomas Liebig, Erich Schubert:
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. - Jake C. Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard S. Zemel:
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions. - Feras A. Batarseh, Priya L. Donti, Ján Drgona, Kristen Fletcher, Pierre-Adrien Hanania, Melissa Hatton, Srinivasan Keshav, Bran Knowles, Raphaela Kotsch, Sean McGinnis, Peetak Mitra, Alex Philp, Jim Spohrer, Frank Stein, Meghna Tare, Svitlana Volkov, Gege Wen:
Proceedings of AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. - Jivitesh Sharma, Ole-Christoffer Granmo, Lei Jiao:
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron. - Molly Offer-Westort, Leah R. Rosenzweig, Susan Athey:
Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa. - Sneha Gathani, Zhicheng Liu, Peter J. Haas, Çagatay Demiralp:
Predictive and Prescriptive Analytics in Business Decision Making: Needs and Concerns. - Duarte M. Nascimento, Miguel Ferreira, Miguel L. Pardal:
Does Big Data Require Complex Systems? A Performance Comparison Between Spark and Unicage Shell Scripts. - Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin:
Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems. - Miguel Ferreira, André Neves, Rodrigo Gorjão, Carlos Cruz, Miguel L. Pardal:
Smart meter data processing: a showcase for simple and efficient textual processing. - Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich:
Latent Discretization for Continuous-time Sequence Compression. - Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, João Pedro Araújo, Jeffrey Gu, C. Karen Liu, Serena Yeung:
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. - (Withdrawn) Cost-minimization predictive energy management of a postal-delivery fuel cell electric vehicle with intelligent battery State-of-Charge Planner.
- Hyung-Jin Yoon, Hamidreza Jafarnejadsani, Petros G. Voulgaris:
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles. - Tasuku Soma, Khashayar Gatmiry, Stefanie Jegelka:
Optimal algorithms for group distributionally robust optimization and beyond. - Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. - Peng Wang, Yu Liu:
Optimizing Replacement Policies for Content Delivery Network Caching: Beyond Belady to Attain A Seemingly Unattainable Byte Miss Ratio. - Wei Lu, Xia Wu, Yufei Wang, Xiwang Cao:
Regular complete permutation polynomials over quadratic extension fields. - Jianyi Zhang, Fangjiao Zhang, Qichao Jin, Zhiqiang Wang, Xiaodong Lin, Xiali Hei:
XMAM: X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning. - Shikuan Xie, Ran Song, Yuenan Zhao, Xueqin Huang, Yibin Li, Wei Zhang:
Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation. - Jian Ding, Zhangsong Li:
A polynomial time iterative algorithm for matching Gaussian matrices with non-vanishing correlation. - Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu:
CCFL: Computationally Customized Federated Learning. - Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian:
Part-guided Relational Transformers for Fine-grained Visual Recognition. - Guanqun Song, Ting Zhu:
ML-based Secure Low-Power Communication in Adversarial Contexts. - Farshad Safavi, Irfan Ali, Venkatesh Dasari, Guanqun Song, Ting Zhu:
Efficient Semantic Segmentation on Edge Devices. - Yifan Zhao, Jia Li, Yonghong Tian:
Parsing Objects at a Finer Granularity: A Survey. - Ye Wang, Rui Ma, Xiaoqing Ma, Honghua Cui, Yubin Xiao, Xuan Wu, You Zhou:
Shape-Aware Fine-Grained Classification of Erythroid Cells. - Meng Fan, Craig C. Bidstrup, Zhaoen Su, Jason Owens, Gary Yang, Nemanja Djuric:
Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing. - Sami Ma, Yi Ching Chou, Haoyuan Zhao, Long Chen, Xiaoqiang Ma, Jiangchuan Liu:
Network Characteristics of LEO Satellite Constellations: A Starlink-Based Measurement from End Users. - Sanghyun Hong, Nicholas Carlini, Alexey Kurakin:
Publishing Efficient On-device Models Increases Adversarial Vulnerability. - Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu:
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. - Kamilya Smagulova, Mohammed E. Fouda, Ahmed M. Eltawil:
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions. - Gautam Choudhary, Iftikhar Ahamath Burhanuddin, Eunyee Koh, Fan Du, Ryan A. Rossi:
PersonaSAGE: A Multi-Persona Graph Neural Network. - Metehan Yalçin, Ahmet Alp Kindiroglu, Furkan Burak Bagci, Ufuk Uyan, Mahiye Uluyagmur Öztürk:
Building Segmentation on Satellite Images and Performance of Post-Processing Methods. - Srinivas Anumasa, Geetakrishnasai Gunapati, P. K. Srijith:
Continuous Depth Recurrent Neural Differential Equations. - Binbin Zhao, Shouling Ji, Jiacheng Xu, Yuan Tian, Qiuyang Wei, Qinying Wang, Chenyang Lyu, Xuhong Zhang, Changting Lin, Jingzheng Wu, Raheem Beyah:
One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware. - Aaron Zimba, George Mukupa, Victoria Chama:
Emerging Mobile Phone-based Social Engineering Cyberattacks in the Zambian ICT Sector. - Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. - Guanzhou Ke, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Chang Xu, Yongqi Zhu, Yang Yu:
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning. - Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao:
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels. - Kaiying Shan, Niranda Perera, Damitha Lenadora, Tianle Zhong, Arup Kumar Sarker, Supun Kamburugamuve, Thejaka Amíla Kanewela, Chathura Widanage, Geoffrey C. Fox:
Hybrid Cloud and HPC Approach to High-Performance Dataframes. - June-Young Hwang, Soon-Uk Kwon, Yong-Hun Cho, Sang-Bin Jeon, In-Kwon Lee:
Redirected Walking in Infinite Virtual Indoor Environment Using Change-blindness. - Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang:
TempCLR: Temporal Alignment Representation with Contrastive Learning. - Jamie Knott, Haiyue Yuan, Matthew Boakes, Shujun Li:
Cyber Security and Online Safety Education for Schools in the UK: Looking through the Lens of Twitter Data. - Marco Bernreuther, Stefan Volkwein:
An adaptive certified space-time reduced basis method for nonsmooth parabolic partial differential equations. - Hisham A. Kholidy, Mohammed Abuzamak:
5G Network Management, Orchestration, and Architecture: A Practical Study of the MonB5G project. - Niels Mommen, Bart Jacobs:
Verification of C++ Programs with VeriFast. - Max Aehle, Johannes Blühdorn, Max Sagebaum, Nicolas R. Gauger:
Reverse-Mode Automatic Differentiation of Compiled Programs. - Karolina Kropielnicka, Karolina Lademann:
Third order, uniform in low to high oscillatory coefficients, exponential integrators for Klein-Gordon equations. - Yuanduo Hong, Huihui Pan, Weichao Sun, Xinghu Yu, Huijun Gao:
Representation Separation for Semantic Segmentation with Vision Transformers. - (Withdrawn) OVO: One-shot Vision Transformer Search with Online distillation.
- Zhihao Wang, Zongyu Lin, Peiqi Liu, Guidong Zheng, Junjie Wen, Xianxin Chen, Yujun Chen, Zhilin Yang:
Learning to Detect Noisy Labels Using Model-Based Features. - Johannes de Fine Licht, Tiziano De Matteis, Tal Ben-Nun, Andreas Kuster, Oliver Rausch, Manuel Burger, Carl-Johannes Johnsen, Torsten Hoefler:
Python FPGA Programming with Data-Centric Multi-Level Design. - Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate:
Lexicographic Multi-Objective Reinforcement Learning. - He Cao, Jianan Wang, Tianhe Ren, Xianbiao Qi, Yihao Chen, Yuan Yao, Lei Zhang:
Exploring Vision Transformers as Diffusion Learners. - Sungmin Kang, Wonkeun Choi, Shin Yoo:
A Bayesian Framework for Automated Debugging. - Lihi Dery:
Ratings to Ranking: Preference Elicitation and Aggregation for Student Peer Assessment. - Minh-Ha Le, Niklas Carlsson:
StyleID: Identity Disentanglement for Anonymizing Faces. - Fernando Alonso-Fernandez, Josef Bigün, Julian Fiérrez, Naser Damer, Hugo Proença, Arun Ross:
Periocular Biometrics: A Modality for Unconstrained Scenarios. - Abuzer Yakaryilmaz:
Classical and quantum Merlin-Arthur automata. - Zi'an Xu, Yin Dai, Fayu Liu, Weibing Chen, Yue Liu, Lifu Shi, Sheng Liu, Yuhang Zhou:
Swin MAE: Masked Autoencoders for Small Datasets. - Carina Geldhauser, Johan Liljegren, Pontus Nordqvist:
All's well that FID's well? Result quality and metric scores in GAN models for lip-sychronization tasks. - Avi Mizrahi, Daniella Bar-Lev, Eitan Yaakobi, Ori Rottenstreich:
Invertible Bloom Lookup Tables with Listing Guarantees. - Ekaterina Nikonova, Cheng Xue, Jochen Renz:
Don't do it: Safer Reinforcement Learning With Rule-based Guidance. - Mohammed Haddad, François Pitois, Hamida Seba, Olivier Togni:
Hypergraphs with Polynomial Representation: Introducing r-splits. - Eirikur Agustsson, David Minnen, George Toderici, Fabian Mentzer:
Multi-Realism Image Compression with a Conditional Generator. - Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu:
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. - Xue Jiang, Maohui Lyu, Tao Yin, Weiying Zheng:
A PML method for signal-propagation problems in axon. - Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb:
Representation Learning in Deep RL via Discrete Information Bottleneck. - Longyu Zhang, Haiwei Dong, Abdulmotaleb El-Saddik:
Towards a QoE Model to Evaluate Holographic Augmented Reality Devices. - Ying Qiu, Yang Liu, Juan Sebastian Arteaga-Falconi, Haiwei Dong, Abdulmotaleb El-Saddik:
EVM-CNN: Real-Time Contactless Heart Rate Estimation from Facial Video. - Lin Yang, Longyu Zhang, Haiwei Dong, Abdulhameed Alelaiwi, Abdulmotaleb El-Saddik:
Evaluating and Improving the Depth Accuracy of Kinect for Windows v2. - Jianxiang Yu, Xiang Li:
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. - Ilja Kuzborskij, Csaba Szepesvári:
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks. - Nancy Nayak, Sheetal Kalyani, Himal A. Suraweera:
A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization. - R. Spencer Hallyburton, Shucheng Zhang, Miroslav Pajic:
AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development. - Chengzhi Zhang, Yi Xiang, Wenke Hao, Zhicheng Li, Yuchen Qian, Yuzhuo Wang:
Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain. - Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang:
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. - Beiqi Zhang, Tianyang Liu, Peng Liang, Chong Wang, Mojtaba Shahin, Jiaxin Yu:
Architecture Decisions in AI-based Systems Development: An Empirical Study. - Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou:
End-to-End Application Cloning for Distributed Cloud Microservices with Ditto. - Konstantin Zerulla, Tobias Jahnke:
Analysis of a Peaceman-Rachford ADI scheme for Maxwell equations in heterogeneous media. - Abdul Sittar, Daniela Major, Caio Mello, Dunja Mladenic, Marko Grobelnik:
Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination. - Dennis Melamed, Cameron Johnson, Chen Zhao, Russell Blue, Philip Morrone, Anthony Hoogs, Brian Clipp:
xFBD: Focused Building Damage Dataset and Analysis. - Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo:
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. - Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin:
Feature learning in neural networks and kernel machines that recursively learn features. - Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou:
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope. - Fengyu Li, Sarah Dean:
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems. - Seyed Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu, Deepak Ramachandran:
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language. - Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly:
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. - Jai Gupta, Yi Tay, Chaitanya Kamath, Vinh Q. Tran, Donald Metzler, Shailesh Bavadekar, Mimi Sun, Evgeniy Gabrilovich:
Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. - Ha-Thanh Nguyen, Manh-Kien Phi, Ngo Xuan Bach, Vu Tran, Le-Minh Nguyen, Tu Minh Phuong:
Attentive Deep Neural Networks for Legal Document Retrieval. - Ngai Lam Ho, Kwan Hui Lim:
POIBERT: A Transformer-based Model for the Tour Recommendation Problem. - Nicholas Galioto, Alex Arkady Gorodetsky:
Robust identification of non-autonomous dynamical systems using stochastic dynamics models. - Miao Ye, Qinghao Zhang, Xingsi Xue, Yong Wang, Qiuxiang Jiang, Hongbing Qiu:
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks. - Dengjie Li, Siyu Chen, Yujie Zhong, Fan Liang, Lin Ma:
DiP: Learning Discriminative Implicit Parts for Person Re-Identification. - Kaan Deveci, Onder Guler:
A Hypervolume Based Approach to Rank Intuitionistic Fuzzy Sets and Its Extension to Multi-criteria Decision Making Under Uncertainty. - Tanmayee Salunke, Unnati Nichite:
Recommender Systems in E-commerce. - Sarah Boufelja Y., Anthony Quinn, Martin Corless, Robert Shorten:
Fully Probabilistic Design for Optimal Transport. - Deguang Kong, Konstantin Shmakov, Jian Yang:
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization. - Aditya Pandey, Kunal Joshi:
Cross-Domain Consumer Review Analysis. - George Boateng:
Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches. - Chung-Chin Shih, Ting-Han Wei, Ti-Rong Wu, I-Chen Wu:
A Local-Pattern Related Look-Up Table. - Deguang Kong, Konstantin Shmakov, Jian Yang:
Do not Waste Money on Advertising Spend: Bid Recommendation via Concavity Changes. - Sven Najem-Meyer, Matteo Romanello:
Page Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches. - Zhengxin Yang, Wanling Gao, Chunjie Luo, Lei Wang, Jianfeng Zhan:
Quality at the Tail. - Francesca Meneghello, Cheng Chen, Carlos Cordeiro, Francesco Restuccia:
Towards Integrated Sensing and Communications in IEEE 802.11bf Wi-Fi Networks. - Burhan Wafai, Chinmoy Kundu, Ankit Dubey, Mark F. Flanagan:
Transmitter Selection for Secrecy Against Colluding Eavesdroppers with Backhaul Uncertainty. - Roberto Bagnara, Abramo Bagnara, Patricia M. Hill:
Coding Guidelines and Undecidability. - Tim G. J. Rudner, Cong Lu, Michael A. Osborne, Yarin Gal, Yee Whye Teh:
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations. - Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. - Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman:
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification. - Stephen Moskal, Shanchieh Jay Yang:
HeATed Alert Triage (HeAT): Transferrable Learning to Extract Multistage Attack Campaigns. - Ibrahim Almuslimani, Nicolas Crouseilles:
Conservative stabilized Runge-Kutta methods for the Vlasov-Fokker-Planck equation. - Giuseppe Giacopelli, Michele Migliore, Domenico Tegolo:
A Segmentation Method for fluorescence images without a machine learning approach. - Jonathan Feldman:
RevealED: Uncovering Pro-Eating Disorder Content on Twitter Using Deep Learning. - Roberto P. Antonioli, Iran M. Braga Jr., Gábor Fodor, Yuri C. B. Silva, Walter C. Freitas Jr.:
Mixed Coherent and Non-Coherent Transmission for Multi-CPU Cell-Free Systems. - Tomohiro Koana:
Induced Matching below Guarantees: Average Paves the Way for Fixed-Parameter Tractability. - Deepank Verma, Olaf Mumm, Vanessa Miriam Carlow:
Exploration of latent space of LOD2 GML dataset to identify similar buildings. - Girik Malik, Dakarai Crowder, Ennio Mingolla:
Extreme Image Transformations Affect Humans and Machines Differently. - Maciej A. Czyzewski, Daniel Nowak, Kamil Piechowiak:
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks. - Hichem Sahbi, Sebastien Deschamps:
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection. - (Withdrawn) Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs.
- Peixiang Huang, Li Liu, Renrui Zhang, Song Zhang, Xinli Xu, Baichao Wang, Guoyi Liu:
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning. - Erik Jergéus, Leo Karlsson Oinonen, Emil Carlsson, Moa Johansson:
Towards Learning Abstractions via Reinforcement Learning. - Nick Brown, Simon Newby:
Web-based volunteer distributed computing for handling time-critical urgent workloads. - Mahdi Zaman, Md Saifuddin, Mahdi Razzaghpour, Yaser P. Fallah:
Performance Analysis of V2I Zone Activation and Scalability for C-V2X Transactional Services. - Mattia G. Bergomi, Massimo Ferri, Alessandro Mella, Pietro Vertechi:
Persistence-based operators in machine learning. - Heung-No Lee, Young-Sik Kim, Dilbag Singh, Manjit Kaur:
Green Bitcoin: Global Sound Money. - Ruan Yanjiao:
Encryption Mechanism And Resource Allocation Optimization Based On Edge Computing Environment. - Collin Connors, Dilip Sarkar:
Machine Learning for Detecting Malware in PE Files. - Helene Orsini, Hongyan Bao, Yujun Zhou, Xiangrui Xu, Yufei Han, Longyang Yi, Wei Wang, Xin Gao, Xiangliang Zhang:
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs. - Jie Liu, Hang An, Jin Li, Hongliang Liang:
Detecting Exploit Primitives Automatically for Heap Vulnerabilities on Binary Programs. - Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas A. Runkler:
Detection, Explanation and Filtering of Cyber Attacks Combining Symbolic and Sub-Symbolic Methods. - Yuntao Wang, Zhou Su, Yanghe Pan, Tom H. Luan, Ruidong Li, Shui Yu:
Social-Aware Clustered Federated Learning with Customized Privacy Preservation. - Mansoor Ali, Faisal Naeem, Georges Kaddoum, Ekram Hossain:
Metaverse Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions. - Anton A. Raskovalov, Nikita Gabdullin, Vasily Dolmatov:
Investigation and rectification of NIDS datasets and standardized feature set derivation for network attack detection with graph neural networks. - Sarah H. Cen, Manish Raghavan:
The Right to be an Exception to a Data-Driven Rule. - Nikos A. Mitsiou, Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, Robert Schober, George K. Karagiannidis:
Accelerating Distributed Optimization via Over-the-Air Computing. - Ulisses Braga-Neto:
Characteristics-Informed Neural Networks for Forward and Inverse Hyperbolic Problems. - Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone:
A System-Level View on Out-of-Distribution Data in Robotics. - Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia:
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. - Paul Vicol, Jonathan Lorraine, Fabian Pedregosa, David Duvenaud, Roger B. Grosse:
On Implicit Bias in Overparameterized Bilevel Optimization. - Umur Aybars Ciftci, Ilke Demir:
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection. - Jonas Geiping, Tom Goldstein:
Cramming: Training a Language Model on a Single GPU in One Day. - Ashley Liew, Klaus Mueller:
Using Large Language Models to Generate Engaging Captions for Data Visualizations. - Furkan Luleci, F. Necati Catbas:
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring. - Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv:
Differentiable Search of Accurate and Robust Architectures. - Ali Raza, Kim Phuc Tran, Ludovic Koehl, Shujun Li:
Proof of Swarm Based Ensemble Learning for Federated Learning Applications. - Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré:
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. - Chris Nota:
On the Convergence of Discounted Policy Gradient Methods. - Juan Pablo Borthagaray, Wenbo Li, Ricardo H. Nochetto:
Fractional Elliptic Problems on Lipschitz Domains: Regularity and Approximation. - M. Tugberk Isyapar, Ufuk Uyan, Mahiye Uluyagmur Öztürk:
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques. - Carlos Baena, Oswaldo Sebastian Peñaherrera-Pulla, Raquel Barco, Sergio Fortes:
Measuring and Estimating Key Quality Indicators in Cloud Gaming services. - Victor Bystrov, Viktoriia Naboka, Anna Staszewska-Bystrova, Peter Winker:
Choosing the Number of Topics in LDA Models - A Monte Carlo Comparison of Selection Criteria. - Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. - Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda:
Multimodal Explainability via Latent Shift applied to COVID-19 stratification. - Anton Stengel, Jaan Altosaar, Rebecca Dittrich, Noémie Elhadad:
Assisted Living in the United States: an Open Dataset. - Chih-Jung Tracy Chang, Yuan Gao, Beicheng Lou:
Wormhole MAML: Meta-Learning in Glued Parameter Space. - Ding Lu, Ren-Cang Li:
Convergence of SCF for Locally Unitarily Invariantizable NEPv. - Tarun Narayanan, Ajay Krishnan, Anirudh Koul, Siddha Ganju:
Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning. - Jessica Lin:
Leveraging World Knowledge in Implicit Hate Speech Detection. - Xiong Liu, Iya Khalil, Murthy V. Devarakonda:
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation. - Sherman Siu:
Towards automating Codenames spymasters with deep reinforcement learning. - Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. - Sinan Sabri, Zaigham A. Randhawa, Gianfranco Doretto:
Joint Discriminative and Metric Embedding Learning for Person Re-Identification. - Abdelmageed Ahmed Hassan, Mohamed Sayed Hussein, Ahmed Shehata AboMoustafa, Sarah Hossam Elmowafy:
Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial Networks. - Zaigham A. Randhawa, Shivang Patel, Donald A. Adjeroh, Gianfranco Doretto:
Learning Representations for Masked Facial Recovery. - Sakib Abrar, Manar D. Samad:
Are Deep Image Embedding Clustering Methods Effective for Heterogeneous Tabular Data? - Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik:
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. - Chuhao Qin, Evangelos Pournaras:
Coordination of Drones at Scale: Decentralized Energy-aware Swarm Intelligence for Spatio-temporal Sensing. - Jabri Ismail, Aboulbichr Ahmed, Aziza El-Ouaazizi:
Improving a sequence-to-sequence nlp model using a reinforcement learning policy algorithm. - Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri:
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. - Matthew R. Keaton, Ram J. Zaveri, Gianfranco Doretto:
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation. - Michael Rory Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert, Craig S. Chapman, Patrick M. Pilarski:
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. - Akash Mittal, Ragini Gupta:
MuTable (Music Table): Turn any surface into musical instrument. - Justus Fasse, Bart Jacobs:
Modular termination verification with a higher-order concurrent separation logic (Intermediate report). - Yubin Kim, Huili Chen, Sharifa Alghowinem, Cynthia Breazeal, Hae Won Park:
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction. - Bryan Ford:
Matchertext: Towards Verbatim Interlanguage Embedding. - Zhaoshuo Li, Hongchao Shu, Ruixing Liang, Anna Goodridge, Manish Sahu, Francis X. Creighton, Russell H. Taylor, Mathias Unberath:
TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery. - Alexandre Rodrigues Mesquita:
Robust Bayesian Subspace Identification for Small Data Sets. - Andrew O'Brien, Rosina Weber, Edward Kim:
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals. - Yutao Han, Youya Xia, Guo-Jun Qi, Mark Campbell:
Planning Paths through Occlusions in Urban Environments. - Nasrin Sohrabi, Norrathep Rattanavipanon, Zahir Tari:
πQLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain. - Le Xia, Yao Sun, Dusit Niyato, Xiaoqian Li, Muhammad Ali Imran:
Wireless Semantic Communication: A Networking Perspective. - Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. - Chanwoo Kim, Sathish Indurti, Jinhwan Park, Wonyong Sung:
Macro-block dropout for improved regularization in training end-to-end speech recognition models. - Jian Cao, Chen Qian, Yihui Huang, Dicheng Chen, Yuncheng Gao, Jiyang Dong, Di Guo, Xiaobo Qu:
A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization. - Yuhang Zhang, Shishun Tian, Muxin Liao, Zhengyu Zhang, Wenbin Zou, Chen Xu:
A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation. - Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp:
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. - Chen Feng, Andrew L. Lu, Yihsu Chen:
Decentralized Voltage Control with Peer-to-peer Energy Trading in a Distribution Network. - Yixing Xu, Xinghao Chen, Yunhe Wang:
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. - Qian Li, Peter Kraft, Michael J. Cafarella, Çagatay Demiralp, Goetz Graefe, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Matei Zaharia:
Transactions Make Debugging Easy. - Feihong Shen, Jingjing Liu, Haizhen Li, Bing Fang, Chenglong Ma, Jin Hao, Yang Feng, Youyi Zheng:
OrthoGAN: High-Precision Image Generation for Teeth Orthodontic Visualization. - Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao:
On Transforming Reinforcement Learning by Transformer: The Development Trajectory. - Tie Hu, Mingbao Lin, Lizhou You, Fei Chao, Rongrong Ji:
Discriminator-Cooperated Feature Map Distillation for GAN Compression. - Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu:
Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules. - Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. - Juan Pablo Lagos, Esa Rahtu:
PanDepth: Joint Panoptic Segmentation and Depth Completion. - Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin:
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network. - Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning. - Yuxiang Liu, Bo Yang, Yu Wu, Cailian Chen, Xinping Guan:
How to Share: Balancing Layer and Chain Sharing in Industrial Microservice Deployment. - Mu-Jung Chen, Hong-Sheng Xie, Cheng Chien, Wen-Hsiao Peng, Hsueh-Ming Hang:
Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4: 2: 0 Content. - Ali Menati, Xiangtian Zheng, Ki-Yeob Lee, Ranyu Shi, Pengwei Du, Chanan Singh, Le Xie:
High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price. - Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang:
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. - Shengqin Jiang, Qing Wang, Fengna Cheng, Yuankai Qi, Qingshan Liu:
A Unified Object Counting Network with Object Occupation Prior. - Qijian Zhang, Junhui Hou:
Self-Supervised Pre-training for 3D Point Clouds via View-Specific Point-to-Image Translation. - Connor Rawls, Mohsen Amini Salehi:
Load Balancer Tuning: Comparative Analysis of HAProxy Load Balancing Methods. - Qiayuan Liao, Zhongyu Li, Akshay Thirugnanam, Jun Zeng, Koushil Sreenath:
Walking in Narrow Spaces: Safety-critical Locomotion Control for Quadrupedal Robots with Duality-based Optimization. - Polina Barabanshchikova, Alexandr Polyanskii:
Intersecting ellipses induced by a max-sum matching. - Menghan Dou, Tianrui Zou, Yuan Fang, Jing Wang, Dongyi Zhao, Lei Yu, Boying Chen, Wenbo Guo, Ye Li, Zhaoyun Chen, Guoping Guo:
QPanda: high-performance quantum computing framework for multiple application scenarios. - Pranjali Awasthi, David Recio-Mitter, Yosuke Kyle Sugi:
Maximizing Use-Case Specificity through Precision Model Tuning. - Malak Diab, Andreas Frommer, Karsten Kahl:
A flexible short recurrence Krylov subspace method for matrices arising in the time integration of port Hamiltonian systems and ODEs/DAEs with a dissipative Hamiltonian. - Kangcheng Liu:
An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping. - Kyungmin Ko, Sajad Khodadadian, Siva Theja Maguluri:
Backward Curriculum Reinforcement Learning. - Priyank Pathak, Jingwei Zhang, Dimitris Samaras:
Local Learning on Transformers via Feature Reconstruction. - Siddhartha Banerjee, Vincent Cohen-Addad, Anupam Gupta, Zhouzi Li:
Graph Searching with Predictions. - Martin Averseng, Xavier Claeys, Ralf Hiptmair:
Fractured Meshes. - Dmitri Kuzmin, Joshua Vedral:
Dissipation-based WENO stabilization of high-order finite element methods for scalar conservation laws. - Chaofeng Guan, Ruihu Li, Zhi Ma:
Symplectic self-orthogonal quasi-cyclic codes. - Rahman Salim Zengin, Volkan Sezer:
Condensed Representation of Machine Learning Data. - Haoyue Wang, Meiling Li, Sheng Li, Zhenxing Qian, Xinpeng Zhang:
Exploring Depth Information for Face Manipulation Detection. - Xin Hu, Lingling Zhang, Jun Liu, Jinfu Fan, Yang You, Yaqiang Wu:
GPTR: Gestalt-Perception Transformer for Diagram Object Detection. - Xuehua Li, Xing Wei, Shuo Chen, Lixin Sun:
Multi-Agent Deep Reinforcement Learning Based Resource Management in SWIPT Enabled Cellular Networks with H2H/M2M Co-Existence. - Hongxia Guo, Guanghui Hu, Guanqiu Ma:
Imaging a moving point source from multi-frequency data measured at one and sparse observation directions (part I): far-field case. - Laura Bragante Corssac, Juliano Araujo Wickboldt:
A Digital Twin-based Smart Home: A Proof of Concept Study. - Long Ma, Tianjiao Ma, Xinwei Xue, Xin Fan, Zhongxuan Luo, Risheng Liu:
Practical Exposure Correction: Great Truths Are Always Simple. - Alina Rogulina, Nikita Baramiia, Valerii Kornilov, Sergey Petrakov, Alexey Zaytsev:
Unsupervised construction of representations for oil wells via Transformers. - Zhongda Chu, Guoxuan Cui, Fei Teng:
Simultaneous Provision of Virtual Inertia and Damping from Inverter-Based Resources for Optimal Microgrid Frequency Regulation. - Silvia Berra, Alessandro La Torraca, Federico Benvenuto, Sara Sommariva:
A fast and convergent combined Newton and gradient descent method for computing steady states of chemical reaction networks. - Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu:
HUSP-SP: Faster Utility Mining on Sequence Data. - Akhil Sathuluri, Anand Vazhapilli Sureshbabu, Markus Zimmermann:
A systems design approach for the co-design of a humanoid robot arm. - Sungyeon Kim, Boseung Jung, Suha Kwak:
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. - Ibon Gracia, Dimitris Boskos, Luca Laurenti, Manuel Mazo Jr.:
Distributionally Robust Strategy Synthesis for Switched Stochastic Systems. - Felix Grün, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis:
Invariance to Quantile Selection in Distributional Continuous Control. - Yihan Zhong, Weisong Wen, Li-Ta Hsu:
Trajectory Smoothing Using GNSS/PDR Integration Via Factor Graph Optimization in Urban Canyons. - Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang:
Sequence Generation with Label Augmentation for Relation Extraction. - Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal:
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI. - Bartlomiej Olber, Krystian Radlak, Adam Popowicz, Michal Szczepankiewicz, Krystian Chachula:
Detection of out-of-distribution samples using binary neuron activation patterns. - Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang:
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. - Anusree Rajan, Pavankumar Tallapragada:
Analysis of Inter-Event Times in Linear Systems under Region-Based Self-Triggered Control. - Xin-Cheng Wen, Cuiyun Gao, Jiaxin Ye, Zhihong Tian, Yan Jia, Xuan Wang:
Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection. - Feng Liu, Xiaoming Liu:
Learning Implicit Functions for Dense 3D Shape Correspondence of Generic Objects. - Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese:
System Log Parsing: A Survey. - Ali Atghaei, Ehsan Rahnama, Kiavash Azimi, Hassan Shahbazi:
Industrial Scene Change Detection using Deep Convolutional Neural Networks. - Tomislav Petrovic:
Betting strategies with bounded splits. - Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu:
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning. - Zaid A. El-Shair, Samir A. Rawashdeh:
High-temporal-resolution event-based vehicle detection and tracking. - Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko:
Error syntax aware augmentation of feedback comment generation dataset. - Rongkuan Ma, Qiang Wei, Jingyi Wang, Shunkai Zhu, Shouling Ji, Peng Cheng, Yan Jia, Qingxian Wang:
Towards Comprehensively Understanding the Run-time Security of Programmable Logic Controllers: A 3-year Empirical Study. - Dong Zhou, Guanghui Sun, Zhao Zhang, Ligang Wu:
On Deep Recurrent Reinforcement Learning for Active Visual Tracking of Space Noncooperative Objects. - Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz:
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. - Brian Angulo, Aleksandr Panov, Konstantin S. Yakovlev:
Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles. - (Withdrawn) Learning to mask: Towards generalized face forgery detection.
- Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang:
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery. - Xiaotong Li, Wei Liu, Hongjiong Tian:
The semi-implicit Euler-Maruyama method for nonlinear non-autonomous stochastic differential equations driven by a class of Lévy processes. - Giovanni Apruzzese, Hyrum S. Anderson, Savino Dambra, David Freeman, Fabio Pierazzi, Kevin A. Roundy:
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice. - Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. - Haowen Hou, Xiaopeng Yan, Yigeng Zhang, Fengzong Lian, Zhanhui Kang:
BagFormer: Better Cross-Modal Retrieval via bag-wise interaction. - Lei Zhang, Pingwen Zhang, Xiangcheng Zheng:
A model-free shrinking-dimer saddle dynamics for finding saddle point and solution landscape. - Jakub Lacki, Vahab Mirrokni, Christian Sohler:
Constant Approximation for Normalized Modularity and Associations Clustering. - Xinyi Liu, Xuanru Meng, Becky Spittle, Wenge Xu, Boyu Gao, Hai-Ning Liang:
Exploring Text Selection in Augmented Reality Systems. - Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. - Volker Grimm, Tobias Kliesch, G. R. W. Quispel:
Discrete gradients in short-range molecular dynamics simulations. - Peter Macgregor:
On Learning the Structure of Clusters in Graphs. - Tobias Schumacher, Marlene Lutz, Sandipan Sikdar, Markus Strohmaier:
Properties of Group Fairness Metrics for Rankings. - Anh-Duy Pham, Chuong Dinh Le, Hoang Viet Pham, Thinh Gia Tran, Dat Thanh Vo, Long Chau Tran, An Dinh Le, Hien Bich Vo:
Sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: A causal approach. - Hamza Pehlivan, Yusuf Dalva, Aysegul Dundar:
StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN. - Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri:
Characterization of the Global Bias Problem in Aerial Federated Learning. - Thomas Robert Doebbert, Henry Beuster, Florian Fischer, Dominik Merli, Gerd Scholl:
Testbed for Functional Safety-Relevant Wireless Communication Based on IO-Link Wireless and 5G. - Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola:
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation. - Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. - Michal Grudzien, Grigory Malinovsky, Peter Richtárik:
Can 5th Generation Local Training Methods Support Client Sampling? Yes! - Jean-François Chassagneux, Junchao Chen, Noufel Frikha:
Deep Runge-Kutta schemes for BSDEs. - Vincent Herrmann, Louis Kirsch, Jürgen Schmidhuber:
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks. - Alexey Zakharov, Qinghai Guo, Zafeirios Fountas:
Long-horizon video prediction using a dynamic latent hierarchy. - Barak Hoffer, Nicolás Wainstein, Christopher M. Neumann, Eric Pop, Eilam Yalon, Shahar Kvatinsky:
Stateful Logic using Phase Change Memory. - Yutao Chen, Anthony Ephremides:
Analysis of Age of Incorrect Information under Generic Transmission Delay. - Cole A. Dempsey, David J. Braun:
Novel Spring Mechanism Enables Iterative Energy Accumulation under Force and Deformation Constraints. - Fredrik Hellman, Axel Målqvist, Malin Mosquera:
Well-Posedness and Finite Element Approximation of Mixed Dimensional Partial Differential Equations. - Sung Y. Kim, David J. Braun:
Controllable Mechanical-domain Energy Accumulators. - Louis Kirsch, Jürgen Schmidhuber:
Eliminating Meta Optimization Through Self-Referential Meta Learning. - Arash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Konstantinos N. Plataniotis:
Graph Federated Learning for CIoT Devices in Smart Home Applications. - Krzysztof Lis, Matthias Rottmann, Sina Honari, Pascal Fua, Mathieu Salzmann:
AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers. - Stefan Hain, Karsten Urban:
An Ultra-Weak Space-Time Variational Formulation for the Schrödinger Equation. - Guillaume Bellegarda, Auke Jan Ijspeert:
Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Navigation. - Michael J. Bommarito II, Daniel Martin Katz:
GPT Takes the Bar Exam. - Arjun Krishna, Zulfiqar Zaidi, Letian Chen, Rohan R. Paleja, Esmaeil Seraj, Matthew C. Gombolay:
Utilizing Human Feedback for Primitive Optimization in Wheelchair Tennis. - Moti Cohen, Lior Rokach, Rami Puzis:
Cross Version Defect Prediction with Class Dependency Embeddings. - Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup:
Offline Policy Optimization in RL with Variance Regularizaton. - Niladri Das, B. Sundar Rajan:
Shared Cache Coded Caching Schemes Using Designs and Circuits of Matrices. - Claudio Canuto, Davide Rosso:
A posteriori error analysis and adaptivity for a VEM discretization of the Navier-Stokes equations. - Dimple P. Khatri, Guanqun Song, Ting Zhu:
Heterogeneous Computing Systems. - Priyanka Kaswan, Sennur Ulukus:
Timestomping Vulnerability of Age-Sensitive Gossip Networks. - Hemanth Gopal, Guanqun Song, Ting Zhu:
Security, Privacy and Challenges in Microservices Architecture and Cloud Computing- Survey. - Shang-En Huang, Hsin-Hao Su:
(1-ε)-Approximate Maximum Weighted Matching in poly(1/ε, log n) Time in the Distributed and Parallel Settings. - Md Mohaiminul Islam, Mahmudul Hasan, Kishan Shamsundar Athrey, Tony Braskich, Gedas Bertasius:
Efficient Movie Scene Detection using State-Space Transformers. - Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. - Masoud Ebrahimi, Christoph Striessnig, Joaquim Castella Triginer, Christoph Schmittner:
Identification and Verification of Attack-Tree Threat Models in Connected Vehicles. - Philipp Baumann, Dorit S. Hochbaum:
PCCC: The Pairwise-Confidence-Constraints-Clustering Algorithm. - Gülsüm Gözde Yilmazgüç, Javier de la Cruz, Edgar Martínez-Moro:
Abelian and consta-Abelian polyadic codes over affine algebras with a finite commutative chain coefficient ring. - Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli:
Fruit Ripeness Classification: a Survey. - Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati:
A Theoretical Framework for AI Models Explainability. - Sergey A. Saltykov:
On the utility of feature selection in building two-tier decision trees. - Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson:
Learning Multimodal Data Augmentation in Feature Space. - Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z. Pan, Wenting Song, Huajun Chen:
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid. - Mojtaba Elahi, Jussi Rintanen:
Planning with Complex Data Types in PDDL. - Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. - Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Cluster-level Group Representativity Fairness in k-means Clustering. - Keshav Kaushik, Rahul Negi, Prabhav Dev:
An electronic warfare approach for deploying a software-based Wi-Fi jammer. - Caifan Du, Matthew Lease:
Voices of Workers: Why a Worker-Centered Approach to Crowd Work Is Challenging. - István Sárándi, Alexander Hermans, Bastian Leibe:
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats. - Kasidis Arunruangsirilert, Bo Wei, Hang Song, Jiro Katto:
Pensieve 5G: Implementation of RL-based ABR Algorithm for UHD 4K/8K Content Delivery on Commercial 5G SA/NR-DC Network. - Kasidis Arunruangsirilert, Pasapong Wongprasert, Jiro Katto:
Performance Evaluations of C-Band 5G NR FR1 (Sub-6 GHz) Uplink MIMO on Urban Train. - Ankita Gupta, Su Lin Blodgett, Justin H. Gross, Brendan T. O'Connor:
Examining Political Rhetoric with Epistemic Stance Detection. - Weiqi Chu, Qin Li, Mason A. Porter:
Inference of interaction kernels in mean-field models of opinion dynamics. - Brian Diep, Marija Stanojevic, Jekaterina Novikova:
Multi-modal deep learning system for depression and anxiety detection. - Elena Di Lavore, Giovanni de Felice, Mario Román:
Coinductive Streams in Monoidal Categories. - Samyakh Tukra, Frederick Hoffman, Ken Chatfield:
Improving Visual Representation Learning through Perceptual Understanding. - Maternus Herold, Anna Veselovska, Jonas Jehle, Felix Krahmer:
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis. - Anqi Dong, Arthur Stéphanovitch, Tryphon T. Georgiou:
Monge-Kantorovich Optimal Transport Through Constrictions and Flow-rate Constraints. - Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra:
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? - Biyi Wang, Hengbin An, Hehu Xie, Zeyao Mo:
A New Subspace Iteration Algorithm for Solving Generalized Eigenvalue Problems. - Sarah E. Anderson, Eduardo Camps-Moreno, Hiram H. López, Gretchen L. Matthews, Diego Ruano, Ivan Soprunov:
Relative hulls and quantum codes. - Jiang Xie, Pengfei Zhao, Shuyin Xia, Guoyin Wang, Dongdong Cheng:
A novel cluster internal evaluation index based on hyper-balls. - Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. - Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy:
POMRL: No-Regret Learning-to-Plan with Increasing Horizons. - Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. - Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao:
Transformer in Transformer as Backbone for Deep Reinforcement Learning. - Kejia Chen, Yinchu Qiu, Zheng Liu:
Layer Imbalance Aware Multiplex Network Embedding. - Akanksha Agrawal, John Augustine, David Peleg, Srikkanth Ramachandran:
Recurrent Problems in the LOCAL model. - Naoki Sakata, Kenji Fujimoto, Ichiro Maruta:
Passivity-based sliding mode control for mechanical port-Hamiltonian systems. - Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang:
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. - Bowen Zhang, Daijun Ding, Liwen Jing:
How would Stance Detection Techniques Evolve after the Launch of ChatGPT? - Wenyu Zhang, Bryan Teague, Florian Meyer:
Active Planning for Cooperative Localization: A Fisher Information Approach. - Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca:
Covid-19 Analysis Using Tensor Methods. - Casper L. Christensen, Aneesh Vartakavi:
An Experience-based Direct Generation approach to Automatic Image Cropping. - Ahmed Elhadeedy, Jeremy Daily:
Using Ethernet or A Wireless Harness and Named Data Networking in A Commercial Trailer and The Impact on Its Lifecycle. - Chengyang Gu, Yize Chen:
Pontryagin Optimal Controller via Neural Networks. - Prafful Kumar Khoba, Chirag Parikh, Rohit Saluja, Ravi Kiran Sarvadevabhatla, C. V. Jawahar:
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads. - DongKi Noh, Changki Sung, Teayoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung:
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. - Krishna Pillutla, Lang Liu, John Thickstun, Sean Welleck, Swabha Swayamdipta, Rowan Zellers, Sewoong Oh, Yejin Choi, Zaïd Harchaoui:
MAUVE Scores for Generative Models: Theory and Practice. - Louis Reboul, Marc Massot, Alejandro Alvarez Laguna:
Numerical challenges in the simulation of 1D bounded low-temperature plasmas with charge separation in various collisional regimes. - Fabrice Rossi, Florian Barbaro:
Mixture of von Mises-Fisher distribution with sparse prototypes. - Shishira R. Maiya, Sharath Girish, Max Ehrlich, Hanyu Wang, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava:
NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling. - Piotr Kawa, Marcin Plata, Piotr Syga:
Defense Against Adversarial Attacks on Audio DeepFake Detection. - Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan, Maunendra Sankar Desarkar:
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. - Amid Golmohammadi, Man Zhang, Andrea Arcuri:
Testing RESTful APIs: A Survey. - Alireza Javanmardi, Eyke Hüllermeier:
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation. - Yanbiao Ma, Licheng Jiao, Fang Liu, Yuxin Li, Shuyuan Yang, Xu Liu:
Delving into Semantic Scale Imbalance. - Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag:
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. - Turker Ince, Serkan Kiranyaz, Ozer Can Devecioglu, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury, Moncef Gabbouj:
Blind Restoration of Real-World Audio by 1D Operational GANs. - Hong Guo, Yujing Wang, Jieyu Zhang, Zhengjie Lin, Yunhai Tong, Lei Yang, Luoxing Xiong, Congrui Huang:
Label-Efficient Interactive Time-Series Anomaly Detection. - Yifeng Bie, Shuai You, Xinrui Li, Xuekui Zhang, Tao Lu:
Essential Number of Principal Components and Nearly Training-Free Model for Spectral Analysis. - Ruifan Liu, Hyo-Sang Shin, Bonbon Yan, Antonios Tsourdos:
An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards. - Decheng Liu, Zeyang Zheng, Chunlei Peng, Yukai Wang, Nannan Wang, Xinbo Gao:
Hierarchical Forgery Classifier On Multi-modality Face Forgery Clues. - Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Gang Li:
Detecting Change Intervals with Isolation Distributional Kernel. - Hashim A. Hashim, Abdelrahman E. E. Eltoukhy, Ákos Odry:
Observer-based Controller for VTOL-UAVs Tracking using Direct Vision-Aided Inertial Navigation Measurements. - Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Reservoir kernels and Volterra series. - Christoph Bandt, Katharina Wittfeld:
Two new parameters for the ordinal analysis of images. - Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Timo Schenk, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT. - Michael Zylla, Thomas Haider:
Distant Reading of the German Coalition Deal: Recognizing Policy Positions with BERT-based Text Classification. - Dmitry A. Yudin, Yaroslav K. Solomentsev, Ruslan Musaev, Aleksei Staroverov, Aleksandr I. Panov:
HPointLoc: Point-based Indoor Place Recognition using Synthetic RGB-D Images. - Marco Giunti, Hervé Paulino, António Ravara:
Anticipation of Method Execution in Mixed Consistency Systems - Technical Report. - Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori, Ilkka Pölönen, Sami Äyrämö, Teijo Kuopio:
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. - Zidong Wu, Mingyao Cui, Linglong Dai:
Enabling More Users to Benefit from Near-Field Communications: From Linear to Circular Array. - Jianglong He, Mamatha N, Shiv Vignesh, Deepak Kumar, Akshay Uppal:
Linear programming word problems formulation using EnsembleCRF NER labeler and T5 text generator with data augmentations. - Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada:
Deep Active Learning Using Barlow Twins. - Rui Xie, Yue Chen:
Distributionally Robust Planning Considering Wake Effect in Wind Farms and Decision-Dependent Uncertainty. - Gangadharan Esakki:
Dynamic Switching of GOP configurations in High Efficiency Video Coding (HEVC) using Relational Databases for Multi-objective Optimization. - Collin Connors, Dilip Sarkar:
Novel Architecture to Create and Maintain Personal Blockchains. - Yuyang Chen, Xiaoyu Cui, Yunjie Song, Manli Wu:
Twitter's Agenda-Setting Role: A Study of Twitter Strategy for Political Diversion. - Gürkan Soykan, Deniz Yuret, Tevfik Metin Sezgin:
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and Recognition. - Binisha Mohan, Dinju Vattavayalil Joseph, Bharat Plavelil Subhash:
Personality Detection of Applicants And Employees Using K-mode Algorithm And Ocean Model. - Shipeng Wang, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. - Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Gérôme Bovet, Gregorio Martínez Pérez:
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification. - Princy Chahal:
Exploring Transformer Backbones for Image Diffusion Models. - Zhiwei Hu, Bo Chen, Yuan Gao, Zhilong Ji, Jinfeng Bai:
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation. - Ling Xiao, Toshihiko Yamasaki:
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction. - Khalid Moustapha Askia, Marie-Jean Meurs:
Personalized Student Attribute Inference. - Umar Yahya, Ndawula Noah, Asingwire Hanifah, Lubega Faham, Abdal Kasule, Hamisi Ramadhan Mubarak:
RFID-Cloud Integration for Smart Management of Public Car Parking Spaces. - Barbora Buhnova:
Trust Management in the Internet of Everything. - Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber:
Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms. - Nicolas Imstepf, Saskia Senn, Antonio Fortin, Benjamin Russell, Claus Horn:
A Learned Simulation Environment to Model Student Engagement and Retention in Automated Online Courses. - Jiajun Cui, Wei Zhang:
Differentiating Student Feedbacks for Knowledge Tracing. - Lei Yu:
Gray-Wyner and Mutual Information Regions for Doubly Symmetric Binary Sources and Gaussian Sources. - Jiale Xu, Xintao Wang, Weihao Cheng, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Shenghua Gao:
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models. - Yu Lu, Linglong Dai:
Hierarchical Beam Training for Extremely Large-Scale MIMO: From Far-Field to Near-Field. - Xingsheng Sun, Burigede Liu:
A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems. - Pengwei Yin, Jiawu Dai, Jingjing Wang, Di Xie, Shiliang Pu:
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation. - Ulrike Hahn, Jens Koed Madsen, Chris Reed:
Managing Expert Disagreement for the Policy Process and Beyond. - Yunjee Lee, Dohae Lee, Young-Jin Oh, In-Kwon Lee:
CIMS: Correction-Interpolation Method for Smoke Simulation. - Pierre Bras:
Langevin algorithms for very deep Neural Networks with application to image classification. - Jesse Read, Indre Zliobaite:
Learning from Data Streams: An Overview and Update. - Joseph O'Rourke:
Every Combinatorial Polyhedron Can Unfold with Overlap. - Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho:
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word Camouflage. - Benjamin Berger:
Batchless Normalization: How to Normalize Activations with just one Instance in Memory. - Angela Busheska, Nara Almeida, Nicholas Sabella, Eudes de A. Rocha:
Machine Learning and Thermography Applied to the Detection and Classification of Cracks in Building. - Asterios Bampakis, Sofia Yfantidou, Athena Vakali:
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions. - Savvas Hadjixenophontos, Anna Maria Mandalari, Yuchen Zhao, Hamed Haddadi:
PRISM: Privacy Preserving Internet of Things Security Management. - Dennis Ossadnik, Mehmet Can Yildirim, Fan Wu, Abdalla Swikir, Hugo T. M. Kussaba, Saeed Abdolshah, Sami Haddadin:
BSA - Bi-Stiffness Actuation for optimally exploiting intrinsic compliance and inertial coupling effects in elastic joint robots. - Xinyuan Chen, Yangchen Xie, Li Sun, Yue Lu:
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation. - Thibaut Théate, Damien Ernst:
Risk-Sensitive Policy with Distributional Reinforcement Learning. - Wenhan Yu, Terence Jie Chua, Jun Zhao:
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications. - Thomas Kreutz, Max Mühlhäuser, Alejandro Sánchez Guinea:
Unsupervised 4D LiDAR Moving Object Segmentation in Stationary Settings with Multivariate Occupancy Time Series. - Bo Chen, Pindi Weng, Daniel W. C. Ho, Li Yu:
Secure Fusion Estimation Against FDI Sensor Attacks in Cyber-Physical Systems. - Wan Jiang, Gang Liu, Xiaofeng Chen, Yipeng Zhou:
Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling. - Bowen Yang, Haiwei Dong, Abdulmotaleb El-Saddik:
Development of a Self-Calibrated Motion Capture System by Nonlinear Trilateration of Multiple Kinects v2. - Nadia Figueroa, Haiwei Dong, Abdulmotaleb El-Saddik:
A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion. - Longyu Zhang, Bote Han, Haiwei Dong, Abdulmotaleb El-Saddik:
Development of an automatic 3D human head scanning-printing system. - Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy:
On the Interpretability of Attention Networks. - Matthias Güdemann, Peter Schrammel:
BlueCov: Integrating Test Coverage and Model Checking with JBMC. - Nicolas Wagner, Ulrich Schwanecke, Mario Botsch:
Neural Volumetric Blendshapes: Computationally Efficient Physics-Based Facial Blendshapes. - Srushti Rath, Joseph Y. J. Chow:
A deep real options policy for sequential service region design and timing. - Tzu-Hao Chiang, Hao-Chien Hsueh, Ching-Chun Hsiao, Ching-Chun Huang:
ExReg: Wide-range Photo Exposure Correction via a Multi-dimensional Regressor with Attention. - Akram Muntaser, Hussin Ragb, Ibrahim Elwarfalli:
DC Microgrid based on Battery, Photovoltaic, and fuel Cells; Design and Control. - Vladislav Gennadievich Malyshkin:
On Machine Learning Knowledge Representation In The Form Of Partially Unitary Operator. Knowledge Generalizing Operator. - Christophe Crespelle, Rémi Pellerin, Stéphan Thomassé:
A quasi-quadratic vertex Kernel for Cograph edge editing. - Ondrej Cífka, Antoine Liutkus:
Black-box language model explanation by context length probing. - Eki Agouzal, Jean-Philippe Argaud, Michel Bergmann, Guilhem Ferté, Tommaso Taddei:
A projection-based reduced-order model for parametric quasi-static nonlinear mechanics using an open-source industrial code. - Elham Sarbazi, Hossein Kazemi, Michael J. Crisp, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani, Richard V. Penty, Ian H. White, Majid Safari, Harald Haas:
Design and Optimisation of High-Speed Receivers for 6G Optical Wireless Networks. - Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang:
Fuzzing Deep-Learning Libraries via Large Language Models. - Kun He, Chunyang Wang, Yitong Yin:
Deterministic counting Lovász local lemma beyond linear programming. - Wenqing Zheng, S. P. Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang:
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search. - Yufeng Zhang, Boyi Liu, Qi Cai, Lingxiao Wang, Zhaoran Wang:
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models. - Yating Liu:
Particle method and quantization-based schemes for the simulation of the McKean-Vlasov equation. - Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller, Grégoire Montavon:
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces. - Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion I. Menzel, Holger Rauhut:
Uncertainty quantification for sparse Fourier recovery. - Philippe Jacquet, Svante Janson:
Depth-First Search performance in a random digraph with geometric outdegree distribution. - Yinshuang Xu, Jiahui Lei, Kostas Daniilidis:
SE(3)-Equivariant Reconstruction from Light Field. - Jude Francis, Rowan K. Baby, Jacob Abraham, Ajmal P. S:
Comparative Analysis of Clustering Techniques for Personalized Food Kit Distribution. - Muzammal Naseer, Salman Khan, Fatih Porikli, Fahad Shahbaz Khan:
Guidance Through Surrogate: Towards a Generic Diagnostic Attack. - Goksel Simsek, Doganalp Ergenç, Ertan Onur:
Reliable and Distributed Network Monitoring via In-band Network Telemetry. - Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian O. Sabel, Jens Ricke, Michael Ingrisch:
ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports. - Debayan Chakraborty, Anurag Singh, Hocine Cherifi:
Immunization Strategies Based on the Overlapping Nodes in Networks with Community Structure. - Iksung Kang, Ziling Wu, Yi Jiang, Yudong Yao, Junjing Deng, Jeffrey Klug, Stefan Vogt, George Barbastathis:
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time. - (Withdrawn) Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers.
- Ranit Das, Gregor Kasieczka, David Shih:
Feature Selection with Distance Correlation. - Simon Apers, Stacey Jeffery, Galina Pass, Michael Walter:
(No) Quantum space-time tradeoff for USTCON. - Roozbeh Bassirian, Bill Fefferman, Kunal Marwaha:
On the power of nonstandard quantum oracles. - Kirill Shmilovich, Benson Chen, Theofanis Karaletsos, Mohammad M. Sultan:
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries. - Xuekui Zhang, Yuying Huang, Ke Xu, Li Xing:
Novel Modelling Strategies for High-frequency Stock Trading Data. - Dima Tretiak, Arvind T. Mohan, Daniel Livescu:
Physics-Constrained Generative Adversarial Networks for 3D Turbulence. - Sameer K. Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick:
Are you using test log-likelihood correctly? - Zehan Chao, Denali Molitor, Deanna Needell, Mason A. Porter:
Inference of Media Bias and Content Quality Using Natural-Language Processing. - Shaojia Ge, Hong Gu, Weimin Su, Anne Lönnqvist, Oleg Antropov:
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data. - Kuangdai Leng, Jeyan Thiyagalingam:
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning. - Ashlin Richardson, Donald Leckie:
Locally Adaptive Hierarchical Cluster Termination With Application To Individual Tree Delineation. - Brett Hemenway Falk, Gerry Tsoukalas, Niuniu Zhang:
Economics of NFTs: The Value of Creator Royalties. - Yuansi Chen, Ronen Eldan:
Hit-and-run mixing via localization schemes. - (Withdrawn) Reliable Joint Segmentation of Retinal Edema Lesions in OCT Images.
- Qifan Huang, Boxi Li, Minbo Gao, Mingsheng Ying:
Fault Models in Superconducting quantum circuits. - Yadan Li, Mohammad Ali Armin, Simon Denman, David Ahmedt-Aristizabal:
Automated Coronary Arteries Labeling Via Geometric Deep Learning. - Venkatraman Renganathan, Dongjun Wu:
Regret Analysis for Risk-aware Linear Quadratic Control. - Elena E. Berdysheva, Nira Dyn, Elza M. Farkhi, Alona Mokhov:
Metric approximation of set-valued functions of bounded variation by integral operators. - Xuan He, Honglin Wen, Yufan Zhang, Yize Chen:
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model. - Raju Hazari, Parimal Pal Chaudhuri:
Cellular Automata Model for Non-Structural Proteins Comparing Transmissibility and Pathogenesis of SARS Covid (CoV-2, CoV) and MERS Covid. - Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. - Bruno Gavranovic, Mattia Villani:
Graph Convolutional Neural Networks as Parametric CoKleisli morphisms. - Zhengwang Xia, Tao Zhou, Saqib Mamoon, Amani Alfakih, Jianfeng Lu:
A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms. - José Morano, Álvaro S. Hervella, José Rouco, Jorge Novo, José Ignacio Fernández-Vigo, Marcos Ortega:
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. - Mert Gürbüzbalaban, Yuanhan Hu, Lingjiong Zhu:
Penalized Langevin and Hamiltonian Monte Carlo Algorithms for Constrained Sampling. - Randall Correll, Sean J. Weinberg, Fabio Sanches, Takanori Ide, Takafumi Suzuki:
Quantum Neural Networks for a Supply Chain Logistics Application. - Junde Wu, Huihui Fang, Yehui Yang, Yuanpei Liu, Jing Gao, Lixin Duan, Weihua Yang, Yanwu Xu:
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters. - Charles E. Thornton, William W. Howard, R. Michael Buehrer:
Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar. - Aritra Sarkar:
Automated Quantum Software Engineering: why? what? how? - Mitchell Black, Dimitra Panagou:
Safe Control Design for Unknown Nonlinear Systems with Koopman-based Fixed-Time Identification. - Lei Yu:
Dimension-Free Bounds for the Union-Closed Sets Conjecture. - Zhiding Liang, Zhixin Song, Jinglei Cheng, Zichang He, Ji Liu, Hanrui Wang, Ruiyang Qin, Yiru Wang, Song Han, Xuehai Qian, Yiyu Shi:
Hybrid Gate-Pulse Model for Variational Quantum Algorithms. - Anthony Corso, Yizheng Wang, Markus Zechner, Jef Caers, Mykel J. Kochenderfer:
A POMDP Model for Safe Geological Carbon Sequestration. - Akshat Kumar, Mohan Sarovar:
Shining light on data: Geometric data analysis through quantum dynamics. - Stefano Berrone, Chiara Giverso, Denise Grappein, Luigi Preziosi, Stefano Scialò:
An optimization based 3D-1D coupling strategy for tissue perfusion and chemical transport during tumor-induced angiogenesis. - Eduardo Vital Brasil:
Using Gradient to Boost the Generalization Performance of Deep Learning Models for Fluid Dynamics. - Ioanna Bouri, Manu Lahariya, Omer Nivron, Enrique Portales Julia, Dietmar Backes, Piotr Bilinski, Guy Schumann:
ML framework for global river flood predictions based on the Caravan dataset. - Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. - Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang:
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition. - Çagkan Yapar, Fabian Jaensch, Ron Levie, Giuseppe Caire:
On the Effective Usage of Priors in RSS-based Localization. - Ourong Lin, Tian Yu, Yuhan Hou, Yi Zhu, Xilin Liu:
Edge Deep Learning Enabled Freezing of Gait Detection in Parkinson's Patients. - Yining Wang, Xumeng Gong, Shaochuan Li, Bing Yang, YiWu Sun, Chuan Shi, Yangang Wang, Cheng Yang, Hui Li, Le Song:
xTrimoABFold: De novo Antibody Structure Prediction without MSA. - Mohammad Kordzanganeh, Pavel Sekatski, Leonid Fedichkin, Alexey Melnikov:
An exponentially-growing family of universal quantum circuits. - Yevhenii Osadchuk, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros:
Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission. - Nisarg Desai, Praneet C. Bala, Rebecca Richardson, Jessica Raper, Jan Zimmermann, Benjamin Y. Hayden:
OpenApePose: a database of annotated ape photographs for pose estimation. - Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Svetlana N. Yanushkevich, Arash Mohammadi:
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains. - Nikita Doikov, El Mahdi Chayti, Martin Jaggi:
Second-order optimization with lazy Hessians. - Palash Panja, Wei Jia, Alec Nelson, Brian McPherson:
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field. - Matteo Favoni, Andreas Ipp, David I. Müller:
Applications of Lattice Gauge Equivariant Neural Networks. - Johannes O. Royset:
Risk-Adaptive Approaches to Learning and Decision Making: A Survey. - Jia Guo, Chenyang Yang:
A Model-based GNN for Learning Precoding. - William Kretschmer, Luowen Qian, Makrand Sinha, Avishay Tal:
Quantum Cryptography in Algorithmica. - Tanya Veeravalli, Maxim Raginsky:
Nonlinear controllability and function representation by neural stochastic differential equations. - Adil I. Erzin, Alexander Kononov, Georgii Melidi, Stepan Nazarenko:
A 4/3·OPT+2/3 approximation for big two-bar charts packing problem. - Peter Balazs, Daniel Freeman, Roxana Popescu, Michael Speckbacher:
Quantitative bounds for unconditional pairs of frames. - Reika Fukuizumi, Yueyuan Gao, Guido Schneider, Motomitsu Takahashi:
Pattern formation in 2d stochastic anisotropic Swift-Hohenberg equation. - Xinmeng Xu, Weiping Tu, Yuhong Yang:
Injecting Spatial Information for Monaural Speech Enhancement via Knowledge Distillation. - Ryan Cotsakis:
Identifying the reach from high-dimensional point cloud data with connections to r-convexity. - Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad:
Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases. - Simone De Santis, Damiana Lazzaro, Riccardo Mengoni, Serena Morigi:
Quantum median filter for Total Variation image denoising. - Damir Filipovic, Puneet Pasricha:
Empirical Asset Pricing via Ensemble Gaussian Process Regression. - Mohammed Rayyan Sheriff, Floor Fenne Redel, Peyman Mohajerin Esfahani:
Fast Algorithm for Constrained Linear Inverse Problems. - Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen:
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis. - Li-Ming Li, Shi-Liang Wu:
Some properties of the solution of the vertical tensor complementarity problem. - Jaroslav Cmejla, Zbynek Koldovský, Václav Kautský, Tülay Adali:
Dynamic Independent Component Extraction with Blending Mixing Vector: Lower Bound on Mean Interference-to-Signal Ratio. - Sinem Gümüs, Fatih Kamisli:
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel Decoding. - Peter C. Kroon, Fabian Grünewald, Jonathan Barnoud, Marco van Tilburg, Paulo C. T. Souza, Tsjerk A. Wassenaar, Siewert-Jan Marrink:
Martinize2 and Vermouth: Unified Framework for Topology Generation. - Edgar Ivan Sanchez Medina, Steffen Linke, Martin Stoll, Kai Sundmacher:
Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution. - Kun Fang, Jingtian Zhao, Xiufan Li, Yifei Li, Runyao Duan:
Quantum NETwork: from theory to practice. - Masoomeh Rahimpour, Ahmed Radwan, Henri Vandermeulen, Stefan Sunaert, Karolien Goffin, Michel Koole:
Investigating certain choices of CNN configurations for brain lesion segmentation. - Sotheara Leang, Eric Castelli, Dominique Vaufreydaz, Sethserey Sam:
Preliminary Study on SSCF-derived Polar Coordinate for ASR. - Tierui Gong, Ioanna Vinieratou, Ran Ji, Chongwen Huang, George C. Alexandropoulos, Li Wei, Zhaoyang Zhang, Mérouane Debbah, H. Vincent Poor, Chau Yuen:
Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions. - Yiling Luo, Xiaoming Huo, Yajun Mei:
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning. - Pasquale De Rosa, Valerio Schiavoni:
Understanding Cryptocoins Trends Correlations. - Zih-Ching Chen, Yu-Shun Sung, Hung-yi Lee:
CHAPTER: Exploiting Convolutional Neural Network Adapters for Self-supervised Speech Models. - Francesco Nespoli, Daniel Barreda, Patrick A. Naylor:
Relative Acoustic Features for Distance Estimation in Smart-Homes. - Alfredo Hubard, Andrew Suk:
Disjoint faces in simple drawings of the complete graph and topological Heilbronn problems. - Merlin A. Nau, A. Hans Vija, Wesley Gohn, Maximilian P. Reymann, Andreas K. Maier:
Hybrid adiabatic quantum computing for tomographic image reconstruction - opportunities and limitations. - Esin Koyuncu, Timofey Solovyev, Elena Alshina, André Kaup:
Device Interoperability for Learned Image Compression with Weights and Activations Quantization. - Joseph Walker, Joseph Aylett-Bullock, Difu Shi, Allen Gidraf Kahindo Maina, Egmond Samir Evers, Sandra Harlass, Frank Krauss:
A Mixed-Method Approach to Determining Contact Matrices in the Cox's Bazar Refugee Settlement. - Thibault Rolland, Fabrizio de Vico Fallani:
Vizaj - An interactive javascript tool for visualizing spatial networks. - Clement Ruah, Osvaldo Simeone, Bashir M. Al-Hashimi:
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems. - Andrea Russo, Antonio Picone, Vincenzo Miracula, Giovanni Giuffrida, Francesco Mazzeo Rinaldi:
Entropy-rate as prediction method for newspapers and information diffusion. - Chunyu Ma, Zhihan Zhou, Han Liu, David Koslicki:
Predicting Drug Repurposing Candidates and Their Mechanisms from A Biomedical Knowledge Graph. - Keivan Shariatmadar:
Path Planning Problem under non-probabilistic Uncertainty. - Anuj Diwan, Ching-Feng Yeh, Wei-Ning Hsu, Paden Tomasello, Eunsol Choi, David Harwath, Abdelrahman Mohamed:
Continual Learning for On-Device Speech Recognition using Disentangled Conformers. - Pablo M. Delgado, Jürgen Herre:
Investigations on the Influence of Combined Inter-Aural Cue Distortions on Overall Audio Quality. - Li Hua Yu, Yoshiteru Hidaka, Victor Smaluk:
Convergence map with action-angle variables based on square matrix for nonlinear lattice optimization. - Anamitra Saha, Sai Ravela:
Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning. - Pablo M. Delgado, Jürgen Herre:
Objective Assessment of Spatial Audio Quality using Directional Loudness Maps. - Nitish K. Panigrahy, Thirupathaiah Vasantam, Don Towsley, Leandros Tassiulas:
On the Capacity Region of a Quantum Switch with Entanglement Purification. - Pablo M. Delgado, Jürgen Herre:
Can we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality. - Yang Qi:
An efficient numerical algorithm for the moment neural activation. - Coleman Moss, Romit Maulik, Giacomo Valerio Iungo:
Modeling Wind Turbine Performance and Wake Interactions with Machine Learning. - S. George Djorgovski, Ashish Mahabal, Matthew J. Graham, Kai Polsterer, Alberto Krone-Martins:
Applications of AI in Astronomy. - Jiahao Li, Zhourun Wu, Wenhao Lin, Jiawei Luo, Jun Zhang, Qingcai Chen, Junjie Chen:
iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models. - Garud Iyengar, Henry Lam, Tianyu Wang:
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. - Kehan Long, Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov:
Distributionally Robust Lyapunov Function Search Under Uncertainty. - Tongyang Li, Xinzhao Wang, Shengyu Zhang:
A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions. - Yizhou Xu, Tianqi Hou, Shansuo Liang, Marco Mondelli:
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models. - Hongwei Bran Li, Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold, Tamaz Amiranashvili, Jianguo Zhang, Daniel Rueckert, Juan Eugenio Iglesias, Benedikt Wiestler, Bjoern H. Menze:
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images. - Alexander Tiskin:
The Chvátal-Sankoff problem: Understanding random string comparison through stochastic processes. - Paul Breiding, Samantha Fairchild, Pierpaola Santarsiero, Elima Shehu:
Average degree of the essential variety. - Giuseppe Colucci, Stan van der Linde, Frank Phillipson:
Power network optimization: a quantum approach. - Christopher Beckham, Martin Weiss, Florian Golemo, Sina Honari, Derek Nowrouzezahrai, Christopher Pal:
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests. - Mobasshir Mahbub, Raed M. Shubair:
SINR Coverage Enhancement of 6G UAV-Assisted Networks Deploying IRS. - Reem Gody, David Harwath:
Unsupervised Fine-Tuning Data Selection for ASR Using Self-Supervised Speech Models. - Pawel Dlotko, Davide Gurnari:
Euler Characteristic Curves and Profiles: a stable shape invariant for big data problems. - Matthias Christandl, Fulvio Gesmundo, Jeroen Zuiddam:
A Gap in the Subrank of Tensors. - Joshua Peter Ebenezer:
A subjective study of the perceptual acceptability of audio-video desynchronization in sports videos. - Shahrooz Pouryousef, Nitish K. Panigrahy, Don Towsley:
A Quantum Overlay Network for Efficient Entanglement Distribution. - Carolina Biliotti, Falco J. Bargagli Stoffi, Nicolo Fraccaroli, Michelangelo Puliga, Massimo Riccaboni:
Breaking Down the Lockdown: The Causal Effect of Stay-At-Home Mandates on Uncertainty and Sentiments during the COVID-19 Pandemic. - Antos Cheeramban Varghese, Hritik Shah, Behrouz Azimian, Anamitra Pal, Evangelos Farantatos, Mahendra Patel, Paul Myrda:
High-Speed State Estimation in Power Systems with Extreme Unobservability Using Machine Learning. - Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. - Iasson Karafyllis, Tarek Ahmed-Ali:
Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output. - Chuong Dinh Le, Hoang Viet Pham, Duy A. Pham, An Dinh Le, Hien B. Vo:
A PM2.5 concentration prediction framework with vehicle tracking system: From cause to effect. - Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali:
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs. - Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu:
Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data. - Philippe Nain, Gayane Vardoyan, Saikat Guha, Don Towsley:
On the Analysis of a Multipartite Entanglement Distribution Switch. - Felix Abramovich:
Classification by sparse additive models. - Damian Kisiel, Denise Gorse:
Axial-LOB: High-Frequency Trading with Axial Attention. - Samuel Rey, Madeline Navarro, Andrei Buciulea, Santiago Segarra, Antonio G. Marques:
Joint graph learning from Gaussian observations in the presence of hidden nodes. - Ziqi Yu, Xiaoyang Han, Shengjie Zhang, Jianfeng Feng, Tingying Peng, Xiao-Yong Zhang:
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain. - Giampaolo Liuzzi, Laura Palagi, Ruggiero Seccia:
Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms. - Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery. - (Withdrawn) Regularized ERM on random subspaces.
- Davide Berghi, Marco Volino, Philip J. B. Jackson:
Tragic Talkers: A Shakespearean Sound- and Light-Field Dataset for Audio-Visual Machine Learning Research. - Ye Hong, Yatao Zhang, Konrad Schindler, Martin Raubal:
Context-aware multi-head self-attentional neural network model for next location prediction. - Thomas Twomey, Leonardo Barbosa, Terry Lohrenz, P. Read Montague:
Deep Learning Architectures for FSCV, a Comparison. - Kunal Pattanayak, Shashwat Jain, Vikram Krishnamurthy, Christopher Berry:
Adaptive ECCM for Mitigating Smart Jammers. - Tadipatri Uday Kiran Reddy, Sahukari Chaitanya Varun, Kota Pranav Kumar, Sreekanth Sankala, Kodukula Sri Rama Murty:
Evince the artifacts of Spoof Speech by blending Vocal Tract and Voice Source Features. - Mikhail V. Saramud, Evgeniy Spirin, Evgeniy Petrovich Talay, Iakov Pikalov:
Formulation of problems of combinatorial optimization for solving problems of management and planning of cloud production. - Jingxi Li, Tianyi Gan, Yifan Zhao, Bijie Bai, Che-Yung Shen, Songyu Sun, Mona Jarrahi, Aydogan Ozcan:
Unidirectional Imaging using Deep Learning-Designed Materials. - Mayur Bhandary, J. Patricio Reyes, Eylül Ertay, Aman Panda:
Double U-Net for Super-Resolution and Segmentation of Live Cell Images. - Daniel Livschitz, Weiqing Gu:
The LG Fibration. - Xinhao Mei, Xubo Liu, Jianyuan Sun, Mark D. Plumbley, Wenwu Wang:
Towards Generating Diverse Audio Captions via Adversarial Training. - Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. - Yuguang Yang, Yu Pan, Jingjing Yin, Heng Lu:
LMEC: Learnable Multiplicative Absolute Position Embedding Based Conformer for Speech Recognition. - Francesco Camilli, Marc Mézard:
Matrix factorization with neural networks. - Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. - Marcus Krogh Nielsen, Tobias K. S. Ritschel, Ib Christensen, Jess Dragheim, Jakob Kjøbsted Huusom, Krist V. Gernaey, John Bagterp Jørgensen:
State Estimation for Continuous-Discrete-Time Nonlinear Stochastic Systems. - Mareike Thies, Fabian Wagner, Noah Maul, Lukas Folle, Manuela Meier, Maximilian Rohleder, Linda-Sophie Schneider, Laura Pfaff, Mingxuan Gu, Jonas Utz, Felix Denzinger, Michael Manhart, Andreas K. Maier:
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction. - Marc Hovemann, Anne Kopsch, Thorsten Raasch, Dorian Vogel:
B-Spline Quarklets and Biorthogonal Multiwavelets. - David Schaller, Tom Hartmann, Manuel Lafond, Nicolas Wieseke, Marc Hellmuth, Peter F. Stadler:
Relative Timing Information and Orthology in Evolutionary Scenarios. - Marcus Krogh Nielsen, Jens Dynesen, Jess Dragheim, Ib Christensen, Sten Bay Jørgensen, Jakob Kjøbsted Huusom, Krist V. Gernaey, John Bagterp Jørgensen:
Modelling and Economic Optimal Control for a Laboratory-scale Continuous Stirred Tank Reactor for Single-cell Protein Production. - Guergana Petrova, Przemyslaw Wojtaszczyk:
Limitations on approximation by deep and shallow neural networks. - Xueqing Liu, Tao Tu, Paul Sajda:
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI. - Dominic Masters, Josef Dean, Kerstin Klaser, Zhiyi Li, Sam Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Ladislav Rampásek, Dominique Beaini:
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction. - Kuang Liu, Rajiv K. Kalia, Xinlian Liu, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta, Rafael Zamora-Resendiz:
Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction. - Luana L. Silva Ribeiro, Alagacone Sri Ranga, Yen Chi Lun:
Complementary Romanovski-Routh polynomials and their zeros. - Fabian Bauer-Marquart, Stefan Leue, Christian Schilling:
symQV: Automated Symbolic Verification of Quantum Programs. - Pierre Aboulker, Guillaume Aubian, Pierre Charbit, Stéphan Thomassé:
(P6, triangle)-free digraphs have bounded dichromatic number. - Ulrich Bauer, Fabian Roll:
Connecting Discrete Morse Theory and Persistence: Wrap Complexes and Lexicographic Optimal Cycles. - Arsham Ghavasieh, Manlio De Domenico:
Maximum entropy network states for coalescence processes. - Andrej Rode, Laurent Schmalen:
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels. - Sadi Md. Redwan, Md. Palash Uddin, Muhammad Imran Sharif, Anwaar Ulhaq:
A Network Theory Investigation into the Altered Resting State Functional Connectivity in Attention-Deficit Hyperactivity Disorder. - Xueqi Gao, Chao Xu, Yihang Song, Jing Hu, Jian Xiao, Zhaopeng Meng:
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG. - Tim Hsu, Babak Sadigh, Nicolas Bertin, Cheol Woo Park, James Chapman, Vasily V. Bulatov, Fei Zhou:
Score-based denoising for atomic structure identification. - Christian Reiser:
Observational and Interventional Causal Learning for Regret-Minimizing Control. - Taichi Uemura:
Homotopy type theory as internal languages of diagrams of ∞-logoses. - Tengyuan Liang:
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria. - Saddam Hussain Khan:
Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework. - Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer:
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data. - Weiyuan Gong, Dong Yuan, Weikang Li, Dong-Ling Deng:
Enhancing Quantum Adversarial Robustness by Randomized Encodings. - Weiyuan Gong, Chenyi Zhang, Tongyang Li:
Robustness of Quantum Algorithms for Nonconvex Optimization. - Mert Kayaalp, Virginia Bordignon, Stefan Vlaski, Vincenzo Matta, Ali H. Sayed:
Distributed Bayesian Learning of Dynamic States. - Anna Costello, Ekaterina Fedorova, Zhijing Jin, Rada Mihalcea:
Editing a Woman's Voice. - Elise Ruaud, Guillaume Dutilleux:
Standard sound emergence as a predictor of short-term annoyance from wind turbine noise. - Alexander Finkelstein, Ella Fuchs, Idan Tal, Mark Grobman, Niv Vosco, Eldad Meller:
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom. - Lucy Ham, Marcel Jackson:
Finite model theory for pseudovarieties and universal algebra: preservation, definability and complexity. - Killian Wood, Emiliano Dall'Anese:
Online Saddle Point Tracking with Decision-Dependent Data. - Nachuan Xiao, Xiaoyin Hu, Xin Liu, Kim-Chuan Toh:
CDOpt: A Python Package for a Class of Riemannian Optimization. - Jie Zou, Jiashu Lou, Baohua Wang, Sixue Liu:
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks. - Jieao Zhu, Yihuai Gao, Hansen Wang, Tiefu Li, Hao Wu:
A Realizable GAS-based Quantum Algorithm for Traveling Salesman Problem. - Jean-Luc Lupien, Antoine Lesage-Landry:
An Online Newton's Method for Time-varying Linear Equality Constraints. - Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
A Trustworthy Framework for Medical Image Analysis with Deep Learning. - François Le Gall, Ansis Rosmanis:
Non-trivial lower bound for 3-coloring the ring in the quantum LOCAL model. - Jing-Xuan Zhang, Genshun Wan, Zhen-Hua Ling, Jia Pan, Jianqing Gao, Cong Liu:
Self-Supervised Audio-Visual Speech Representations Learning By Multimodal Self-Distillation. - Tong Xie, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex:
Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks. - Daniel Lehmann:
Metalinear structures and the substructural logic of quantum measurements. - Luyao Guo, Jinde Cao, Xinli Shi, Shaofu Yang:
BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization. - Chan Li, Zhenye Huang, Wenxuan Zou, Haiping Huang:
Statistical mechanics of continual learning: variational principle and mean-field potential. - Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano, Lorena Escudero Sanchez:
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks. - Attila Szolnoki, Matjaz Perc:
Oppressed species can form a winning pair in a multi-species ecosystem. - Marc Wildi, Branka Hadji Misheva:
A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection. - Ufuk Sevim, Leyla Gören Sümer:
Consensus of Double Integrator Multiagent Systems under Nonuniform Sampling and Changing Topology. - David Marx, Krishna Kumar, Jorge Zornberg:
Evaluation of particle motions in stabilized specimens of transparent sand using deep learning segmentation. - Peng Hong:
A new eye segmentation method based on improved U2Net in TCM eye diagnosis. - Tuomo Valkonen:
Proximal methods for point source localisation. - Niccolò Polvani, Damien Ronssin, Milos Cernak:
BC-VAD: A Robust Bone Conduction Voice Activity Detection. - Frank Cwitkowitz, Toni Hirvonen, Anssi Klapuri:
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription. - Mark Carney:
On Zero-Knowledge Proofs over the Quantum Internet. - Hedong Zhang, Anand A. Joshi:
Semi-supervised Learning with Robust Loss in Brain Segmentation. - Massimiliano Fessina, Giambattista Albora, Andrea Tacchella, Andrea Zaccaria:
Which products activate a product? An explainable machine learning approach. - Eniko Zakar-Polyák, Marcell Nagy, Roland Molontay:
Towards a Better Understanding of the Characteristics of Fractal Networks. - Ranita Biswas, Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner, Morteza Saghafian:
On the Size of Chromatic Delaunay Mosaics. - Sebastiano Cultrera di Montesano, Ondrej Draganov, Herbert Edelsbrunner, Morteza Saghafian:
Persistent Homology of Chromatic Alpha Complexes. - Rafael Stekolshchik:
Extending Snow's algorithm for computations in the finite Weyl groups. - Quentin Chauleur, Erwan Faou:
Discrete quantum harmonic oscillator and Kravchuk transform. - Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh, Ali Balapour, Amin Meghrazi, Hamid R. Rabiee:
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey. - R. Bailey Bond, Pu Ren, Jerome F. Hajjar, Hao Sun:
An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection. - Lucas Leclerc, Luis Ortiz-Guitierrez, Sebastián Grijalva, Boris Albrecht, Julia R. K. Cline, Vincent E. Elfving, Adrien Signoles, Loïc Henriet, Gianni Del Bimbo, Usman Ayub Sheikh, Maitree Shah, Luc Andrea, Faysal Ishtiaq, Andoni Duarte, Samuel Mugel, Irene Caceres, Michel Kurek, Roman Orus, Achraf Seddik, Oumaima Hammammi, Hacene Isselnane, Didier M'tamon:
Financial Risk Management on a Neutral Atom Quantum Processor. - Sze Kwan Cheah, Diganta Bhattacharjee, Maziar S. Hemati, Ryan James Caverly:
Robust Local Stabilization of Nonlinear Systems with Controller-Dependent Norm Bounds: A Convex Approach with Input-Output Sampling. - Harish S. Bhat:
Drift Identification for Lévy alpha-Stable Stochastic Systems. - Chandrajit Bajaj, Conrad Li, Minh Nguyen:
Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making. - Curtis McDonald, Andrew R. Barron:
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density. - Vahid R. Asadi, Alexander Golovnev, Tom Gur, Igor Shinkar, Sathyawageeswar Subramanian:
Quantum Worst-Case to Average-Case Reductions for All Linear Problems. - Elchanan Mossel, Allan Sly, Youngtak Sohn:
Exact Phase Transitions for Stochastic Block Models and Reconstruction on Trees. - William Yik, Sam J. Silva, Andrew Geiss, Duncan Watson-Parris:
Exploring Randomly Wired Neural Networks for Climate Model Emulation. - Mahindra Rautela, Motahareh Mirfarah, Christian Silva, Shirley Dyke, Amin Maghareh, S. Gopalakrishnan:
Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search. - Yiwen Dong, Jingxiao Liu, Hae Young Noh:
GaitVibe+: Enhancing Structural Vibration-based Footstep Localization Using Temporary Cameras for In-home Gait Analysis. - Pavel Chebotarev:
Extending Utility Functions on Arbitrary Sets. - Daxin Tan, Nikos Kargas, David McHardy, Constantinos Papayiannis, Antonio Bonafonte, Marek Strelec, Jonas Rohnke, Agis Oikonomou-Filandras, Trevor Wood:
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue. - Yanjie Fu, Haoran Yin, Meng Ge, Longbiao Wang, Gaoyan Zhang, Jianwu Dang, Chengyun Deng, Fei Wang:
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation. - Xinmeng Xu, Weiping Tu, Yuhong Yang:
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement. - Jiashu Lou, Leyi Cui, Ye Li:
Bi-LSTM Price Prediction based on Attention Mechanism. - Harrison Mateika, Juannan Jia, Linda Lillard, Noah Cronbaugh, Will Shin:
Fallen Angel Bonds Investment and Bankruptcy Predictions Using Manual Models and Automated Machine Learning. - Siddharth Bhadra-Lobo, Georgy Derevyanko, Guillaume Lamoureux:
Dock2D: Synthetic data for the molecular recognition problem. - Chen Xu, Yao Xie:
Sequential Predictive Conformal Inference for Time Series. - Ruchi Pandey, Shreyas Jaiswal, Huy Phan, Santosh Nannuru:
Improving trajectory localization accuracy via direction-of-arrival derivative estimation. - Fenglin Ding, Genshun Wan, Pengcheng Li, Jia Pan, Cong Liu:
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information. - Genshun Wan, Tan Liu, Hang Chen, Jia Pan, Cong Liu, Zhongfu Ye:
Progressive Multi-Scale Self-Supervised Learning for Speech Recognition. - Pengcheng Li, Genshun Wan, Fenglin Ding, Hang Chen, Jianqing Gao, Jia Pan, Cong Liu:
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit. - Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo:
Metric Elicitation; Moving from Theory to Practice. - Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors:
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. - Tim Januschowski, Jan Gasthaus, Yuyang Wang, David Salinas, Valentin Flunkert, Michael Bohlke-Schneider, Laurent Callot:
Criteria for Classifying Forecasting Methods. - Chang-Sik Choi, François Baccelli:
An Analytical Framework for Downlink LEO Satellite Communications based on Cox Point Processes. - Ugur Berk Sahin, Fatih Kamisli:
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy Models. - Bin Huang, Liu Zhang, Shiyu Lu, Boyu Lin, Weiwen Wu, Qiegen Liu:
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging. - Denis S. Krotov:
Multifold 1-perfect codes. - Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi:
The BeMi Stardust: a Structured Ensemble of Binarized Neural Networks. - Alexandre Belloni, Fei Fang, Alexander Volfovsky:
Neighborhood Adaptive Estimators for Causal Inference under Network Interference. - Denis S. Krotov, Vladimir N. Potapov:
An upper bound on the number of frequency hypercubes. - Daniel Zeiberg, Shantanu Jain, Predrag Radivojac:
Leveraging Structure for Improved Classification of Grouped Biased Data. - Ishaan R. Kale, Anand J. Kulkarni, Efrén Mezura-Montes:
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems. - Valmiki Kothare, Zhongqiang Ren, Sivakumar Rathinam, Howie Choset:
Enhanced Multi-Objective A* with Partial Expansion. - Andrew R. Sedler, Christopher Versteeg, Chethan Pandarinath:
Expressive architectures enhance interpretability of dynamics-based neural population models. - Stefan Stojanovic, Konstantin Donhauser, Fanny Yang:
Tight bounds for maximum 𝓁1-margin classifiers. - Mikhail Zotov, Denis Sokolinskii:
A Neural Network Approach for Selecting Track-like Events in Fluorescence Telescope Data. - Esteban Bautista, Matthieu Latapy:
A Frequency-Structure Approach for Link Stream Analysis. - Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi, Laurent Schmalen:
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search. - Guanghan Meng, Dekel Galor, Laura Waller, Martin S. Banks:
BiPMAP: A Toolbox for Predictions of Perceived Motion Artifacts on Modern Displays. - Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin:
Deep Learning for Brain Age Estimation: A Systematic Review. - Satvik Maurya, Chaithanya Naik Mude, William D. Oliver, Benjamin Lienhard, Swamit S. Tannu:
Hardware Efficient Neural Network Assisted Qubit Readout. - Satvik Maurya, Swamit S. Tannu:
COMPAQT: Compressed Waveform Memory Architecture for Scalable Qubit Control. - Chenyi Zhang, Tongyang Li:
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions. - Jean Cardinal, Hung Phuc Hoang, Arturo Merino, Ondrej Micka, Torsten Mütze:
Combinatorial generation via permutation languages. V. Acyclic orientations. - Sushobhan Chatterjee, Rachel Kalpana Kalaimani:
Online Distributed Optimal Power Flow with Equality Constraints. - Eric Culf, Thomas Vidick, Victor V. Albert:
Group coset monogamy games and an application to device-independent continuous-variable QKD. - Mirza Redzic:
Minimizing the Sombor Index among Trees with Fixed Degree Sequence. - Miguel de Carvalho, Gabriel Martos Venturini, Andrej Svetlosák:
A parallelizable model-based approach for marginal and multivariate clustering. - Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zaïd Harchaoui:
Statistical and Computational Guarantees for Influence Diagnostics. - S. Andrew Lanham:
Quantum-Inspired Approximations to Constraint Satisfaction Problems. - Arunav Gupta:
Coloring Inside the Lines: The Jagged Legacy of the HOLC Neighborhood Risk Maps. - Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein:
The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. - Csaba Köllod, András Adolf, Gergely Márton, Moutz Wahdow, Ward Fadel, István Ulbert:
Closed loop BCI System for Cybathlon 2020. - Thomas Lamiaux, Axel Ljungström, Anders Mörtberg:
Computing Cohomology Rings in Cubical Agda. - Warut Suksompong:
A Characterization of Maximum Nash Welfare for Indivisible Goods. - Matthias Feiler:
A probabilistic autoencoder for causal discovery. - Dibyayan Chakraborty, Sandip Das, Srijit Mukherjee, Uma Kant Sahoo, Sagnik Sen:
Triangle-free projective-planar graphs with diameter two: domination and characterization. - Meijia Han, Wenxing Zhu:
Nonnegative partial s-goodness for the equivalence of a 0-1 linear program to weighted linear programming. - Guillermo Lorenzo, Angela M. Jarrett, Christian T. Meyer, Vito Quaranta, Darren R. Tyson, Thomas E. Yankeelov:
Identifying mechanisms driving the early response of triple negative breast cancer patients to neoadjuvant chemotherapy using a mechanistic model integrating in vitro and in vivo imaging data. - Alicia von Schenk, Victor Klockmann, Jean-François Bonnefon, Iyad Rahwan, Nils C. Köbis:
Lie detection algorithms attract few users but vastly increase accusation rates. - Charles A. Hepburn, Giovanni Montana:
Model-based trajectory stitching for improved behavioural cloning and its applications. - Johan Pauwels, Lorenzo Picinali:
On The Relevance Of The Differences Between HRTF Measurement Setups For Machine Learning. - Jing Fang, Yinbo Yu, Zhongyuan Wang, Xin Ding, Ruimin Hu:
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information. - Zijian Yang, Wei Zhou, Ralf Schlüter, Hermann Ney:
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers. - Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever:
Robust Speech Recognition via Large-Scale Weak Supervision. - Alan F. Karr, Zac Bowen, Adam A. Porter:
Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier. - Pieter Pas, Andreas Themelis, Panagiotis Patrinos:
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. - Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang:
GAUCHE: A Library for Gaussian Processes in Chemistry. - Nazmul Hasan, Kazi Mahmudul Hasan, Md. Tahsinul Islam, Shahnewaz Siddique:
Investigation of Minerals Using Hyperspectral Satellite Imagery in Bangladesh. - Matthias C. Caro:
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix. - Charles W. Anderson, Jason Stock:
An Interpretable Model of Climate Change Using Correlative Learning. - Francesco Zanetta, Daniele Nerini, Tom Beucler, Mark A. Liniger:
Physics-constrained deep learning postprocessing of temperature and humidity. - Nils Quetschlich, Lukas Burgholzer, Robert Wille:
Compiler Optimization for Quantum Computing Using Reinforcement Learning. - Ahmed Mustafa, Jean-Marc Valin, Jan Büthe, Paris Smaragdis, Mike Goodwin:
Framewise WaveGAN: High Speed Adversarial Vocoder in Time Domain with Very Low Computational Complexity. - Soumi Maiti, Yifan Peng, Takaaki Saeki, Shinji Watanabe:
SpeechLMScore: Evaluating speech generation using speech language model. - Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin:
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks. - Sasipim Srivallapanondh, Pedro J. Freire, Bernhard Spinnler, Nelson Costa, Antonio Napoli, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Knowledge Distillation Applied to Optical Channel Equalization: Solving the Parallelization Problem of Recurrent Connection. - Pablo M. Delgado, Jürgen Herre:
A Data-driven Cognitive Salience Model for Objective Perceptual Audio Quality Assessment. - Javid Abderezaei, Aymeric Pionteck, Agamdeep Chopra, Mehmet Kurt:
3D Inception-Based TransMorph: Pre- and Post-operative Multi-contrast MRI Registration in Brain Tumors. - Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang:
Effective Dynamics of Generative Adversarial Networks. - Grant A. Davidson, Mark Vinton, Per Ekstrand, Cong Zhou, Lars F. Villemoes, Lie Lu:
High Quality Audio Coding with MDCTNet. - Duyal Yolcu:
The R-algebra of Quasiknowledge and Convex Optimization. - Shashank Shekhar, Ritika Nandi, H. Srikanth Kamath:
UNet Based Pipeline for Lung Segmentation from Chest X-Ray Images. - Weitian Wu, Xinmin Yang:
The Hybridization of Branch and Bound with Metaheuristics for Nonconvex Multiobjective Optimization. - Ben Cameron, Chính T. Hoàng:
A refinement on the structure of vertex-critical (P5, gem)-free graphs. - Huiling Zhang, Jun-Lin Wang, Zi Xu, Yu-Hong Dai:
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints. - Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson, Bernhard Spinnler, Thomas Bex, Tobias A. Eriksson, Antonio Napoli, Wolfgang Schairer, Nelson Costa, Michaela Blott, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays. - Yong Liu, Yaojian Chen, Chu Guo, Jiawei Song, Xinmin Shi, Lin Gan, Wenzhao Wu, Wei Wu, Haohuan Fu, Xin Liu, Dexun Chen, Guangwen Yang, Jiangang Gao:
Validating quantum-supremacy experiments with exact and fast tensor network contraction. - Kyongsik Yun, Kyra Adams, John T. Reager, Zhen Liu, Caitlyn Chavez, Michael J. Turmon, Thomas Lu:
Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley. - Xiang-Gen Xia:
A New OFDM System for IIR Channels. - Cyprien Tamekue, Dario Prandi, Yacine Chitour:
Cortical origins of MacKay-type visual illusions. A case for the non-linearity. - Huajian Fang, Timo Gerkmann:
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. - Fabian Wagner, Mareike Thies, Laura Pfaff, Noah Maul, Sabrina Pechmann, Mingxuan Gu, Jonas Utz, Oliver Aust, Daniela Weidner, Georgiana Neag, Stefan Uderhardt, Jang Hwan Choi, Andreas K. Maier:
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising. - Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford:
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation. - Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax:
Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability. - Enikö Székely, Sebastian Sippel, Nicolai Meinshausen, Guillaume Obozinski, Reto Knutti:
Robust detection and attribution of climate change under interventions. - Yajun Zhao, Xin Lv:
Reconfigurable Intelligent Surfaces for 6G - Applications, Challenges and Solutions. - Junhan Qin:
Review of Ansatz Designing Techniques for Variational Quantum Algorithms. - Florian Neukart, Anders Indset, Markus Pflitsch, Michael Perelshtein:
Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis. - Jake Fawkes, Robert Hu, Robin J. Evans, Dino Sejdinovic:
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects Even Under One Sided Overlap. - Md. Farhan Tasnim Oshim, Toral Surti, Stephanie Carreiro, Deepak Ganesan, Suren Jayasuriya, Tauhidur Rahman:
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings. - Hadas Ben-Atya, Moti Freiman:
P2T2: a Physically-primed deep-neural-network approach for robust T2 distribution estimation from quantitative T2-weighted MRI. - Kazuki Kawamura, Jun Rekimoto:
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech. - (Withdrawn) Deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms.
- Néstor Parga, Luis Serrano-Fernández, Joan Falcó-Roget:
Emergent Computations in Trained Artificial Neural Networks and Real Brains. - Tenzan Araki, James Stokes, Shravan K. Veerapaneni:
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions. - Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby:
A Learned Born Series for Highly-Scattering Media. - Andac Demir, Iya Khalil, Bulent Kiziltan:
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG. - Meryem Banu Cavlak, Gagandeep Singh, Mohammed Alser, Can Firtina, Joël Lindegger, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Can Alkan, Onur Mutlu:
TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering. - Chiraphat Boonnag, Wanumaidah Saengmolee, Narongrid Seesawad, Amrest Chinkamol, Saendee Rattanasomrerk, Kanyakorn Veerakanjana, Kamonwan Thanontip, Warissara Limpornchitwilai, Piyalitt Ittichaiwong, Theerawit Wilaiprasitporn:
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting. - Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Jonathan Le Roux:
Hyperbolic Audio Source Separation. - Chaoqian Wang, Attila Szolnoki:
A reversed form of public goods game: equivalence and difference. - Stefano Galatolo, Maurizio Monge, Isaia Nisoli, Federico Poloni:
A general framework for the rigorous computation of invariant densities and the coarse-fine strategy. - Maryanthe Malliaris, Shay Moran:
The unstable formula theorem revisited. - John Francis, Stephen Law:
Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery. - Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao:
FAIR AI Models in High Energy Physics. - Xufeng Cai, Chaobing Song, Stephen J. Wright, Jelena Diakonikolas:
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization. - Dustin G. Mixon, Daniel Packer:
Max filtering with reflection groups. - Nick DiSanto, Gavin Harding, Ethan Martinez, Benjamin Sanders:
Eliminating Mole Size in Melanoma Classification. - Lancelot Da Costa, Grigorios A. Pavliotis:
The entropy production of stationary diffusions. - Hari Hara Suthan Chittoor, Osvaldo Simeone, Leonardo Banchi, Stefano Pirandola:
Online Convex Optimization of Programmable Quantum Computers to Simulate Time-Varying Quantum Channels. - Ronak Mehta, Vincent Roulet, Krishna Pillutla, Lang Liu, Zaïd Harchaoui:
Stochastic Optimization for Spectral Risk Measures. - Mehrdad Zandigohar, Yang Dai:
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods. - Weimin Huang, Elias B. Khalil:
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. - Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou, Marco Di Renzo:
Throughput analysis of RIS-assisted UAV wireless systems under disorientation and misalignment. - Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan:
Snapshot Multispectral Imaging Using a Diffractive Optical Network. - Chen-Long Li, Yao Fu, Wen-Bo Liu, Yuan-Mei Xie, Bing-Hong Li, Min-Gang Zhou, Hua-Lei Yin, Zeng-Bing Chen:
Breaking universal limitations on quantum conference key agreement without quantum memory. - Subhrajit Sinha, Sai Pushpak Nandanoori, David Barajas-Solano:
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data. - Raphael Sonabend:
Scoring rules in survival analysis. - Desh Raj, Daniel Povey, Sanjeev Khudanpur:
GPU-accelerated Guided Source Separation for Meeting Transcription. - Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada:
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density. - Luyao Zhang, Xinyu Tian:
On Blockchain We Cooperate: An Evolutionary Game Perspective. - Rohith Aralikatti, Zhenyu Tang, Dinesh Manocha:
Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation. - Yu Xuan, Yongqiang Wang:
Gradient-tracking Based Differentially Private Distributed Optimization with Enhanced Optimization Accuracy. - Majerle Reeves, Harish S. Bhat:
Neural Continuous-Time Markov Models. - Sean A. Adamson:
Parallel remote state preparation for fully device-independent verifiable blind quantum computation. - Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda:
2D/3D Deep Image Registration by Learning 3D Displacement Fields for Abdominal Organs. - Peng Jia, Wenbo Liu, Yuan Liu, Haiwu Pan:
Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine Learning Algorithms. - Qiyang Han, Huachen Ren:
Gaussian random projections of convex cones: approximate kinematic formulae and applications. - Yufan Zhang, Zichao Chen, Yutong Sun, Yulin Liu, Luyao Zhang:
Blockchain Network Analysis: A Comparative Study of Decentralized Banks. - Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak:
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process. - Connor H. Ligeikis, Jeffrey T. Scruggs:
On the Feasibility of Self-Powered Linear Feedback Control. - Patrick Hompe, Tony Huynh:
Aharoni's rainbow cycle conjecture holds up to an additive constant. - Shuo Chen, Bin Shi, Ya-Xiang Yuan:
Revisiting the acceleration phenomenon via high-resolution differential equations. - Friedrich Pillichshammer:
Optimal periodic L2-discrepancy and diaphony bounds for higher order digital sequences. - Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Z. Chen, Jian Wu:
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction. - Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. - Tomohiro Nishiyama:
Lower Bounds for the Total Variation Distance Given Means and Variances of Distributions. - Sullivan Hué, Christophe Hurlin, Christophe Pérignon, Sébastien Saurin:
Explainable Performance. - Aarjav Jain, Challenger Mishra, Pietro Liò:
A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation. - Piero Mazzarisi, Adele Ravagnani, Paola Deriu, Fabrizio Lillo, Francesca Medda, Antonio Russo:
A machine learning approach to support decision in insider trading detection. - Alireza Jafari, Saman Haratizadeh:
NETpred: Network-based modeling and prediction of multiple connected market indices. - Qiao Liu, Zhongren Chen, Wing Hung Wong:
CausalEGM: a general causal inference framework by encoding generative modeling. - Alapan Chaudhuri, Zeeshan Ahmed, Ashwin Rao, Shivansh Subramanian, Shreyas Pradhan, Abhishek Mittal:
Nostradamus: Weathering Worth. - Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang:
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. - Mohamed Awadalla, François Bouffard:
Flexibility Characterization of Sustainable Power Systems in Demand Space: A Data-Driven Inverse Optimization Approach. - Chris S. Magnano, Anthony Gitter:
Graph algorithms for predicting subcellular localization at the pathway level. - Tianchen Huang:
The spatial accessibility of attractive parks in Chicago and a proposed planning support system to evaluate the accessibility of POIs. - Abodh Poudyal, Charlotte Wertz, Amy Mi Nguyen, Sajjad Uddin Mahmud, Vibha Gunturi, Anamika Dubey:
Spatiotemporal Impact Analysis of Hurricanes and Storm Surges on Power Systems. - Lianrui Zuo, Yihao Liu, Yuan Xue, Blake E. Dewey, Murat Bilgel, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Susan M. Resnick, Jerry L. Prince, Aaron Carass:
HACA3: A Unified Approach for Multi-site MR Image Harmonization. - Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin:
Hardware-efficient learning of quantum many-body states. - Kawish Pervez, Waqas Aman, Muhammad Mahboob Ur Rahman, Muhammad Wasim Nawaz, Qammer H. Abbasi:
Hand-breathe: Non-Contact Monitoring of Breathing Abnormalities from Hand Palm. - Vishesh Jain, Huy Tuan Pham:
Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings. - Chen-Long Li, Yao Fu, Wen-Bo Liu, Yuan-Mei Xie, Bing-Hong Li, Min-Gang Zhou, Hua-Lei Yin, Zeng-Bing Chen:
Breaking Rate-Distance Limitation of Measurement-Device-Independent Quantum Secret Sharing. - Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey:
Forecasting formation of a Tropical Cyclone Using Reanalysis Data. - Utku Ozbulak, Solha Kang, Jasper Zuallaert, Stephen Depuydt, Joris Vankerschaver:
Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data. - Shweta Sahoo, Utkarsh Azad, Harjinder Singh:
Quantum Phase Recognition using Quantum Tensor Networks. - Lucas Böttcher, Mason A. Porter:
Complex networks with complex weights. - Pengxiao Zang, Tristan T. Hormel, Jie Wang, Yukun Guo, Steven T. Bailey, Christina J. Flaxel, David Huang, Thomas S. Hwang, Yali Jia:
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map. - Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty:
MAntRA: A framework for model agnostic reliability analysis. - Bowen Li, Bin Shi, Ya-Xiang Yuan:
Linear Convergence of ISTA and FISTA. - Seonjoo Lee, Haipeng Shen, Young K. Truong:
Nonparametric Independent Component Analysis for the Sources with Mixed Spectra. - Abhejit Rajagopal, Antonio C. Westphalen, Nathan Velarde, Tim Ullrich, Jeffry P. Simko, Hao Nguyen, Thomas A. Hope, Peder E. Z. Larson, Kirti Magudia:
Mixed Supervision of Histopathology Improves Prostate Cancer Classification from MRI. - Hongseok Namkoong, Yuanzhe Ma, Peter W. Glynn:
Minimax Optimal Estimation of Stability Under Distribution Shift. - Vishwanath Saragadam, Zheyi Han, Vivek Boominathan, Luocheng Huang, Shiyu Tan, Johannes E. Fröch, Karl F. Böhringer, Richard G. Baraniuk, Arka Majumdar, Ashok Veeraraghavan:
Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics. - Yan Gao, Rodney A. Sparapani, Sanjib Basu:
Bayesian Arc Length Survival Analysis Model (BALSAM): Theory and Application to an HIV/AIDS Clinical Trial. - Masatoshi Uehara, Chengchun Shi, Nathan Kallus:
A Review of Off-Policy Evaluation in Reinforcement Learning. - Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang:
Robust Split Federated Learning for U-shaped Medical Image Networks. - Thang Tran Ngoc, Trinh Ngoc Hai:
Self-adaptive algorithms for quasiconvex programming and applications to machine learning. - Houssem Sifaou, Geoffrey Ye Li:
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO. - (Withdrawn) Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images.
- Pei Liu, Luping Ji, Feng Ye, Bo Fu:
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images. - Lizhao You, Zhirong Tang, Pengbo Wang, Zhaorui Wang, Haipeng Dai, Liqun Fu:
Quick and Reliable LoRa Physical-layer Data Aggregation through Multi-Packet Reception. - Nikolay Pogodaev, Maxim V. Staritsyn, Roman A. Chertovskih:
Optimal control of nonlocal continuity equations: numerical solution. - Alexis Toumi:
Category Theory for Quantum Natural Language Processing. - Medina Bandic, Carmen G. Almudéver, Sebastian Feld:
Interaction graph-based profiling of quantum benchmarks for improving quantum circuit mapping techniques. - Hong-Bin Zhu, Lei Ji, Xiao-Chun Li, Jun-Fa Mao:
A Compact Rejection Filter Based on 2.5-D Spoof Surface Plasmon Polaritons and Folded Spilt-Ring Resonators. - Simona Kasterovic, Silvia Ghilezan:
Logic of Combinatory Logic. - Alessandro Poggiali, Alessandro Berti, Anna Bernasconi, Gianna M. Del Corso, Riccardo Guidotti:
Quantum Clustering with k-Means: a Hybrid Approach. - Ioannis Papageorgiou, Ioannis Kontoyiannis:
Truly Bayesian Entropy Estimation. - Vanessa Mercea, Alin Razvan Paraschiv, Daniela Adriana Lacatus, Anca Marginean, Diana Besliu-Ionescu:
A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Maps. - Antoine Bodin, Nicolas Macris:
Gradient flow in the gaussian covariate model: exact solution of learning curves and multiple descent structures. - Yue Sun, Timur Dogan:
Generative methods for Urban design and rapid solution space exploration. - Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar:
Incentive-Aware Models of Dynamic Financial Networks. - Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola, Armine Vardazaryan, Jean-Paul Mazellier, Bernard Dallemagne, Didier Mutter, Nicolas Padoy:
Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation. - Olalekan Ogundipe, Zeyneb Kurt, Wai Lok Woo:
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer. - Zhuo Chen, Di Luo, Kaiwen Hu, Bryan K. Clark:
Simulating 2+1D Lattice Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions. - Chen-Di Han, Ying-Cheng Lai:
Generating extreme quantum scattering in graphene with machine learning. - Sinan A. Ozbay, Maximilian M. Nguyen:
Parameterizing Network Graph Heterogeneity using a Modified Weibull Distribution. - Sinan A. Ozbay, Bjarke F. Nielsen, Maximilian M. Nguyen:
Bifurcations in the Herd Immunity Threshold for Discrete-Time Models of Epidemic Spread. - Junru Zhong, Yongcheng Yao, Donal G. Cahill, Fan Xiao, Siyue Li, Jack Lee, Kevin Ki-Wai Ho, Michael Tim-Yun Ong, James F. Griffith, Weitian Chen:
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification. - Aaron Abrams, Zeph Landau, Jamie Pommersheim, Nikhil Srivastava:
On Eigenvalue Gaps of Integer Matrices. - N. Kumar, Jaap J. W. van der Vegt, Hans J. Zwart:
Port-Hamiltonian Discontinuous Galerkin Finite Element Methods. - Ayushi Raj Bhatt, Rajkumar Vaghashiya, Meghna Kulkarni, Prakash Kamaraj:
Explainable Artificial Intelligence in Retinal Imaging for the detection of Systemic Diseases. - Md. Ershadul Haque, Manoranjan Paul, Tanmoy Debnath:
A novel state connection strategy for quantum computing to represent and compress digital images. - Marco Aldinucci, Livio Bioglio, Cristina Calcagno, Mario Coppo, Ferruccio Damiani, Maurizio Drocco, Elena Grassi, Pablo Ramón, Eva Sciacca, Salvatore Spinella, Angelo Troina:
Modelling Biological and Ecological Systems with the Calculus of Wrapped Compartments. - Ata Atay, Ana Mauleon, Vincent Vannetelbosch:
School Choice with Farsighted Students. - Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka:
Blood Oxygen Saturation Estimation from Facial Video via DC and AC components of Spatio-temporal Map. - Xiaoliang Li, Yihuo Jiang:
Influence of rationality levels on dynamics of heterogeneous Cournot duopolists with quadratic costs. - Ying Xu, Samalika Lakmali Perera, Yeshwanth Bethi, Saeed Afshar, André van Schaik:
Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model. - Victor Falgas-Ravry, Klas Markström, Eero Räty:
Rainbow variations on a theme by Mantel: extremal problems for Gallai colouring templates. - Keshab Chandra Bakshi, Satyajit Guin:
Relative position between a pair of spin model subfactors. - Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch:
Cutting Plane Selection with Analytic Centers and Multiregression. - Malo Alefsen de Boisredon d'Assier, Eugene Vorontsov, Samuel Kadoury:
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision. - Gaurav Iyer, Boris Hanin, David Rolnick:
Maximal Initial Learning Rates in Deep ReLU Networks. - Darius Petermann, Gordon Wichern, Aswin Shanmugam Subramanian, Zhong-Qiu Wang, Jonathan Le Roux:
Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks. - Zichun Hao, Raghav Kansal, Javier M. Duarte, Nadezda Chernyavskaya:
Lorentz Group Equivariant Autoencoders. - (Withdrawn) Reconstruction of Multivariate Sparse Signals from Mismatched Samples.
- Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Sequential Kernelized Independence Testing. - Zhikang Wang:
Quantum Control based on Deep Reinforcement Learning. - Yifeng Qin:
Approximation schemes for McKean-Vlasov and Boltzmann type equations (error analyses in total variation distance). - Vlad Bally, Yifeng Qin:
Total variation distance between a jump-equation and its Gaussian approximation. - Ata Atay, Ana Mauleon, Vincent Vannetelbosch:
Limited Farsightedness in Priority-Based Matching. - Onni Kosomaa, Samuli Laine, Tero Karras, Miika Aittala, Jaakko Lehtinen:
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction. - Maciej Majewski, Adrià Pérez, Philipp Thölke, Stefan Doerr, Nicholas E. Charron, Toni Giorgino, Brooke E. Husic, Cecilia Clementi, Frank Noé, Gianni De Fabritiis:
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. - Bruno Machado Pacheco, Guilherme de Souza e Cassia, Danilo Silva:
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary? - Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, Soroosh Tayebi Arasteh, Christoph Haarburger, Christiane Kuhl, Tianci Wang, Tianyu Han, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn:
Diffusion Probabilistic Models beat GANs on Medical Images. - Yongqiang Wang, Tamer Basar:
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy. - Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, Junko Kameyama, Hideo Tsurushima:
Edema Estimation From Facial Images Taken Before and After Dialysis via Contrastive Multi-Patient Pre-Training. - Chuanming Yu, Yu Guan, Ziwen Ke, Dong Liang, Qiegen Liu:
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging. - Pojtanut Manopanjasiri, Kantapong Visantavarakul, Seksan Kiatsupaibul:
Ungeneralizable Contextual Logistic Bandit in Credit Scoring. - Stefano Baranzini, Ivan Beschastnyi:
Morse index and determinant of block Jacobi matrices via optimal control. - Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images. - François Lecomte, Jean-Louis Dillenseger, Stéphane Cotin:
CNN-based real-time 2D-3D deformable registration from a single X-ray projection. - Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville:
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. - Michael Drmota, Eva-Maria Hainzl:
Universal asymptotic properties of positive functional equations with one catalytic variable. - Casey Garner, Allen Holder:
Comparing Voting Districts with Uncertain Data Envelopment Analysis. - Oben Özgür, Arwa Rekik, Islem Rekik:
Population Template-Based Brain Graph Augmentation for Improving One-Shot Learning Classification. - Prateek Jain, Srinjoy Ganguly:
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery. - Jianzhi Long, Jicang Cai, Abdullah F. Al-Battal, Shiwei Jin, Jing Zhang, Dacheng Tao, Truong Nguyen:
Localizing Scan Targets from Human Pose for Autonomous Lung Ultrasound Imaging. - Jungho Ahn, Debsoumya Chakraborti, Kevin Hendrey, Donggyu Kim, Sang-il Oum:
Twin-width of random graphs. - Clara Carlier, Arnaud Franju, Matthieu Lerasle, Mathias Obrebski:
Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model. - Naveen Durvasula:
Extending Universal Approximation Guarantees: A Theoretical Justification for the Continuity of Real-World Learning Tasks. - Alexis Asseman, Tomasz Kornuta, Anirudh Patel, Matt Deible, Sam Green:
Multi-Agent Dynamic Pricing in a Blockchain Protocol Using Gaussian Bandits. - Stephan Thaler, Gregor Doehner, Julija Zavadlav:
Scalable Bayesian Uncertainty Quantification for Neural Network Potentials: Promise and Pitfalls. - Maksim E. Shirokov:
New monotonicity property of the quantum relative entropy. - Sanjaya Lohani, Joseph M. Lukens, Atiyya A. Davis, Amirali Khannejad, Sangita Regmi, Daniel E. Jones, Ryan T. Glasser, Thomas A. Searles, Brian T. Kirby:
Demonstration of machine-learning-enhanced Bayesian quantum state estimation. - Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Learning to repeatedly solve routing problems. - Eleonora Vitanza, Giovanna Maria Dimitri, Chiara Mocenni:
A Multi-Modal Machine Learning Approach to Detect Extreme Rainfall Events in Sicily. - Salah Ghamizi, Maxime Cordy, Michail Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices. - Louis Golowich:
A New Berry-Esseen Theorem for Expander Walks. - Janey Alex, Jason Stillerman, Noah Fritzhand, Tucker Paron:
Agent-Based Model of Crowd Dynamics in Emergency Situations: A Focus on People With Disabilities. - Gabriel Turinici:
Huber-energy measure quantization. - Shamiul Alam, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz:
Voltage-controlled Cryogenic Boolean Logic Family Based on Ferroelectric SQUID. - Nobuaki Kikkawa, Hiroshi Ohno:
Materials Discovery using Max K-Armed Bandit. - Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson:
Geometry-aware Autoregressive Models for Calorimeter Shower Simulations. - Yusuke Yasuda, Tomoki Toda:
Investigation of Japanese PnG BERT language model in text-to-speech synthesis for pitch accent language. - Madhurima Panja, Tanujit Chakraborty, Sk. Shahid Nadim, Indrajit Ghosh, Uttam Kumar, Nan Liu:
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition. - Yusuke Yasuda, Tomoki Toda:
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder. - Benjamin Gunby, Xiaoyu He, Bhargav Narayanan, Sam Spiro:
Antichain Codes. - Han Zhang, Axel Ringh:
Statistically consistent inverse optimal control for discrete-time indefinite linear-quadratic systems. - Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik:
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging. - Armin Kekic, Jonas Dehning, Luigi Gresele, Julius von Kügelgen, Viola Priesemann, Bernhard Schölkopf:
Evaluating vaccine allocation strategies using simulation-assisted causal modelling. - Suwon Shon, Felix Wu, Kwangyoun Kim, Prashant Sridhar, Karen Livescu, Shinji Watanabe:
Context-aware Fine-tuning of Self-supervised Speech Models. - Masanori Hanada, Junyu Liu, Enrico Rinaldi, Masaki Tezuka:
Estimating truncation effects of quantum bosonic systems using sampling algorithms. - Franco Cerino, J. Andrés Díaz Pace, Manuel Tiglio:
An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement. - Jop Briët, Francisco Escudero Gutiérrez, Sander Gribling:
Grothendieck inequalities characterize converses to the polynomial method. - Huseyin Tuna Erdinc, Abhinav Prakash Gahlot, Ziyi Yin, Mathias Louboutin, Felix J. Herrmann:
De-risking Carbon Capture and Sequestration with Explainable CO2 Leakage Detection in Time-lapse Seismic Monitoring Images. - Martin Milanic, Nevena Pivac:
Computing Well-Covered Vector Spaces of Graphs using Modular Decomposition. - Zhenge Jia, Yiyu Shi, Jingtong Hu, Lei Yang, Benjamin Nti:
Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System. - Mathias Backes, Anja Butter, Monica Dunford, Bogdan Malaescu:
An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training. - Niklas Pirnay, Vincent Ulitzsch, Frederik Wilde, Jens Eisert, Jean-Pierre Seifert:
A super-polynomial quantum advantage for combinatorial optimization problems. - Daniel Beaulieu, Dylan Miracle, Anh Pham, William Scherr:
Quantum Kernel for Image Classification of Real World Manufacturing Defects. - Aleksandr Laptev, Boris Ginsburg:
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition. - Ali Kafaei Zad Tehrani, Md Ashikuzzaman, Hassan Rivaz:
Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography. - Or Sattath, Uriel Shinar:
Quantum Amnesia Leaves Cryptographic Mementos: A Note On Quantum Skepticism. - Qike Li, Samir Jamkhande, Pavel Kochetkov, Pai Liu:
Assign Experiment Variants at Scale in Online Controlled Experiments. - Yulong Lu:
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective. - Timothy L. Kline:
Shape Aware Automatic Region-of-Interest Subdivisions. - Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach. - Xin Xia, Yansen Su, Chunhou Zheng, Xiangxiang Zeng:
Molecule optimization via multi-objective evolutionary in implicit chemical space. - Nicola Cantisani, Tobias K. S. Ritschel, Christian A. Thilker, Henrik Madsen, John Bagterp Jørgensen:
Modeling, scientific computing and optimal control for renewable energy systems with storage. - Siva Shanmugam, Sheetal Kalyani:
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography. - Tomasz Raducha, Maxi San Miguel:
Multilayer structure enhances the optimal outcome of coordination games. - Baode Gao, Guangpeng Zhan, Hanzhang Wang, Yiming Wang, Shengxin Zhu:
Learning with linear mixed model for group recommendation systems. - Javier Castro, Claudio Muñoz, Nicolás Valenzuela:
The Calderón's problem via DeepONets. - Julia Carrigan, Isaiah Hollars, Eric Rowland:
Natural bijections for contiguous pattern avoidance in words. - Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Furu Wei:
BEATs: Audio Pre-Training with Acoustic Tokenizers. - Paul-André Melliès, Noam Zeilberger:
Parsing as a lifting problem and the Chomsky-Schützenberger representation theorem. - Josef Rukavicka:
Property of upper bounds on the number of rich words. - Ludovico Lami, Bartosz Regula, Xin Wang, Mark M. Wilde:
Upper Bounds on the Distillable Randomness of Bipartite Quantum States. - Lena Sembach, Jan Pablo Burgard, Volker H. Schulz:
Riemannian Optimization for Variance Estimation in Linear Mixed Models. - Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-Free Kernel Independence Test. - Heshan Aravinda:
Entropy-variance inequalities for discrete log-concave random variables via degree of freedom. - Noemie C. Combe:
Manin conjecture for statistical pre-Frobenius manifolds, hypercube relations and motivic Galois group in coding. - (Withdrawn) Support Vector Regression: Risk Quadrangle Framework.
- Guillaume Aubian, Frédéric Havet, Florian Hörsch, Felix Klingelhöfer, Nicolas Nisse, Clément Rambaud, Quentin Vermande:
Problems, proofs, and disproofs on the inversion number. - Omar Hagrass, Bharath K. Sriperumbudur, Bing Li:
Spectral Regularized Kernel Two-Sample Tests. - Sheng He, Yanfang Feng, Patricia Ellen Grant, Yangming Ou:
Segmentation Ability Map: Interpret deep features for medical image segmentation. - Hong-Yan Zhang, Yu Zhou, Yu-Tao Li, Fu-Yun Li, Yong-Hui Jiang:
CDIO-CT collaborative strategy for project-driven STEM education: an illustration of solving the period of mathematical pendulum. - Tapas Tripura, Aarya Sheetal Desai, Sondipon Adhikari, Souvik Chakraborty:
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems. - Mohammadreza Naderi, Mohammad Hossein Givkashi, Fatemeh Piri, Nader Karimi, Shadrokh Samavi:
Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling. - Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich:
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution. - Lyuben Lichev:
Lower bound on the running time of Pop-Stack Sorting on a random permutation. - Sofiène Jerbi, Arjan Cornelissen, Maris Ozols, Vedran Dunjko:
Quantum policy gradient algorithms. - Meiyi Zhu, Chunyan Feng, Caili Guo, Zhe Liu, Nan Jiang, Osvaldo Simeone:
Semantics-Aware Remote Estimation via Information Bottleneck-Inspired Type Based Multiple Access. - Archontia C. Giannopoulou, Dimitrios M. Thilikos, Sebastian Wiederrecht:
Excluding Single-Crossing Matching Minors in Bipartite Graphs. - Daesung Kim, Hye Won Chung:
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization. - Aijaz H. Lone, Hanrui Li, Nazek El-Atab, Xiaohang Li, Hossein Fariborzi:
Voltage Gated Domain Wall Magnetic Tunnel Junction-based Spiking Convolutional Neural Network. - Danqing Wang, Zeyu Wen, Fei Ye, Hao Zhou, Lei Li:
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model. - Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer:
Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences. - Amir-Salar Esteki, Solmaz S. Kia:
Distributed Unconstrained Optimization with Time-varying Cost Functions. - Mirko Trisolini, Camilla Colombo, Yuichi Tsuda:
Target selection for Near-Earth Asteroids in-orbit sample collection missions. - Junpeng Zhan:
Variational Quantum Search with Exponential Speedup. - Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic:
Near-optimal Policy Identification in Active Reinforcement Learning. - Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization. - Chiara Calascibetta, Luca Biferale, Francesco Borra, Antonio Celani, Massimo Cencini:
Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning. - Rachna Saxena, Abhijeet Kumar, Mridul Mishra:
Holder Recommendations using Graph Representation Learning & Link Prediction. - Stefania Di Tommaso, Sherrie Wang, Vivek Vajipey, Noel Gorelick, Rob Strey, David B. Lobell:
Annual field-scale maps of tall and short crops at the global scale using GEDI and Sentinel-2. - Rakib Hassan Pran:
Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms. - Ashesh Rambachan, Amanda Coston, Edward H. Kennedy:
Counterfactual Risk Assessments under Unmeasured Confounding. - Walt Williams, Rohan Doshi, Yanran Li, Kexuan Liang:
Predicting Ejection Fraction from Chest X-rays Using Computer Vision for Diagnosing Heart Failure. - Jianqing Fan, Jikai Hou, Mengxin Yu:
Uncertainty Quantification of MLE for Entity Ranking with Covariates. - L. Leticia Ramírez-Ramírez, José A. Montoya, Jesús F. Espinoza, Chahak Mehta, Albert Orwa Akuno, Tan Bui-Thanh:
Use of mobile phone sensing data to estimate residence and mobility times in urban patches during the COVID-19 epidemic: The case of the 2020 outbreak in Hermosillo, Mexico. - Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell:
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation. - Chuan Tian, C. Megan Urry, Aritra Ghosh, Ryan Ofman, Tonima Tasnim Ananna, Connor Auge, Nico Cappelluti, Meredith C. Powell, David B. Sanders, Kevin Schawinski, Dominic Stark, Grant R. Tremblay:
Using Machine Learning to Determine Morphologies of z<1 AGN Host Galaxies in the Hyper Suprime-Cam Wide Survey. - Xiaohua Ma, Xiangru Li, Ali Luo, Jinqu Zhang, Hui Li:
Galaxy Image Classification using Hierarchical Data Learning with Weighted Sampling and Label Smoothing. - Meng Li, Brian C. Lovell:
End to End Generative Meta Curriculum Learning For Medical Data Augmentation. - Fernando Martín Rodríguez, Fernando Isasi de Vicente, Mónica Fernández-Barciela:
Computer Vision Methods for Automating Turbot Fish Cutting. - Sven Banisch, Hawal Shamon:
Biased processing and opinion polarization: experimental refinement of argument communication theory in the context of the energy debate. - Jacky Cresson, Anna Szafranska:
Diffusion equations with spatially dependent coefficients and fractal Cauer-type networks. - Sven Banisch, Hawal Shamon:
Validating argument-based opinion dynamics with survey experiments. - Conleigh Byers, Brent Eldridge:
Auction designs to increase incentive compatibility and reduce self-scheduling in electricity markets. - Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici:
Learning efficient backprojections across cortical hierarchies in real time. - Marco Tomassini:
A Local Optima Network View of Real Function Fitness Landscapes. - Eric S. Muckley, James E. Saal, Bryce Meredig, Christopher S. Roper, John H. Martin:
Interpretable models for extrapolation in scientific machine learning. - Matthias Nadler, Felix Bekemeier, Fabian Schär:
DeFi Risk Transfer: Towards A Fully Decentralized Insurance Protocol. - Andrey A. Popov, Renato Zanetti:
An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter. - Abbas Termos, Bertrand M. Hochwald:
Deep Multi-Emitter Spectrum Occupancy Mapping that is Robust to the Number of Sensors, Noise and Threshold. - Yao Xuan, Kris T. Delaney, Héctor D. Ceniceros, Glenn H. Fredrickson:
Machine Learning and Polymer Self-Consistent Field Theory in Two Spatial Dimensions. - Vinay Jogani, Joy Purohit, Ishaan Shivhare, Seema C. Shrawne:
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification. - Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park, Imran Naseem, Abdul Wahab:
Anticancer Peptides Classification using Kernel Sparse Representation Classifier. - Mayee F. Chen, Benjamin Nachman, Frederic Sala:
Resonant Anomaly Detection with Multiple Reference Datasets. - Soumik Ghosh, Abhinav Deshpande, Dominik Hangleiter, Alexey V. Gorshkov, Bill Fefferman:
Sharp complexity phase transitions generated by entanglement. - Marcello Caleffi, Michele Amoretti, Davide Ferrari, Daniele Cuomo, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti:
Distributed Quantum Computing: a Survey. - Kyle G. Burke, Craig Tennenhouse:
Vexing Vexillological Logic. - Paul J. Atzberger:
Incorporating Shear into Stochastic Eulerian Lagrangian Methods for Rheological Studies of Complex Fluids and Soft Materials. - Parinaz Barakhshan, Akshay Bhosale, Amani Kiruga, Rudolf Eigenmann, Marianna S. Safronova, Bindiya Arora:
A Portal for High-Precision Atomic Data and Computation: Design and Best Practices. - Tantrik Mukerji, Wei-Shih Yang:
A polynomial time additive estimate of the permanent using Gaussian fields. - Marlon S. Mathias, Marcel R. de Barros, Jefferson F. Coelho, Lucas P. de Freitas, Felipe M. Moreno, Caio F. D. Netto, Fábio G. Cozman, Anna H. R. Costa, Eduardo Aoun Tannuri, Edson S. Gomi, Marcelo Dottori:
A Physics-Informed Neural Network to Model Port Channels. - Zhikang Wang:
Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning. - Marcin Bownik, Brody Johnson, Simon McCreary-Ellis:
Stability of iterated dyadic filter banks. - Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. - Amit Surana, Abeynaya Gnanasekaran, Tuhin Sahai:
Carleman linearization based efficient quantum algorithm for higher order polynomial differential equations. - Ke Wang, Mariya Doneva, Jakob Meineke, Thomas Amthor, Ekin Karasan, Fei Tan, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. - Luqing Wang, Luyao Guo, Shaofu Yang, Xinli Shi:
Differentially Private Decentralized Optimization with Relay Communication. - Cynthia Rush, Fiona Skerman, Alexander S. Wein, Dana Yang:
Is it easier to count communities than find them? - Fatmatülzehra Uslu, Anil A. Bharath:
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation. - Vitaly V. Ryzhkov, Vladimir V. Echeistov, Aleksandr V. Zverev, Dmitry A. Baklykov, Tatyana Konstantinova, Evgeny S. Lotkov, Pavel G. Ryazantcev, Ruslan Sh. Alibekov, Aleksey K. Kuguk, Andrey R. Aleksandrov, Elisey S. Krasko, Anastasiya A. Barbasheva, Ilya A. Ryzhikov, Ilya A. Rodionov:
Integrated membrane-free thermal flow sensor for silicon-on-glass microfluidics. - David Hartman, Tomás Hons, Jaroslav Nesetril:
Gadget construction and structural convergence. - Gwenaël Joret, William Lochet, Michal T. Seweryn:
Edge separators for graphs excluding a minor. - Alexander Poddiakov:
Intransitively winning chess players positions. - Toshimasa Matsumoto, Shannon Leigh Walston, Yukio Miki, Daiju Ueda:
Nervus: A Comprehensive Deep Learning Classification, Regression, and Prognostication Tool for both Medical Image and Clinical Data Analysis. - Zhenwei Lin, Qi Deng:
Efficient First-order Methods for Convex Optimization with Strongly Convex Function Constraints. - Dustin G. Mixon, Yousef Qaddura:
Injectivity, stability, and positive definiteness of max filtering. - Daniel M. Kane, Ilias Diakonikolas:
A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points. - Tao Yu, Jinge Ma, Guilin Li, Dongyu Yang, Rui Ma, Yishi Shi:
Realization Scheme for Visual Cryptography with Computer-generated Holograms. - Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin:
Compact Graph Representation of molecular crystals using Point-wise Distance Distributions. - Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai:
Adapting to Latent Subgroup Shifts via Concepts and Proxies. - Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. - Or Sharir, Garnet Kin-Lic Chan, Anima Anandkumar:
Towards Neural Variational Monte Carlo That Scales Linearly with System Size. - Hyun Park, Ruijie Zhu, Eliu A. Huerta, Santanu Chaudhuri, Emad Tajkhorshid, Donny Cooper:
End-to-end AI Framework for Hyperparameter Optimization, Model Training, and Interpretable Inference for Molecules and Crystals. - Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi:
Deep Unfolded Tensor Robust PCA with Self-supervised Learning. - Shixiong Yu, Yuxiang Liu, Zongsheng Hu, Haozhao Zhang, Pengyu Qi, Hao Peng:
Sensitivity analysis of biological washout and depth selection for a machine learning based dose verification framework in proton therapy. - Adam Tonks, Trevor Harris, Bo Li, William Brown, Rebecca Smith:
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data. - Supreeth Mysore Venkatesh, Antonio Macaluso, Matthias Klusch:
GCS-Q: Quantum Graph Coalition Structure Generation. - Jorge F. Lazo, Benoit Rosa, Michele Catellani, Matteo Fontana, Francesco Alessandro Mistretta, Gennaro Musi, Ottavio De Cobelli, Michel de Mathelin, Elena De Momi:
Semi-supervised GAN for Bladder Tissue Classification in Multi-Domain Endoscopic Images. - Wei-Ning Hsu, Tal Remez, Bowen Shi, Jacob Donley, Yossi Adi:
ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement. - Qiyu Han, Will Wei Sun, Yichen Zhang:
Online Statistical Inference for Matrix Contextual Bandit. - Heemoon Yoon, Mira Park, Sang-Hee Lee:
Novel Deep Learning Framework For Bovine Iris Segmentation. - Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi:
A machine learning framework for neighbor generation in metaheuristic search. - Hongkang Yang:
A Mathematical Framework for Learning Probability Distributions. - Krongtum Sankaewtong, John J. Molina, Matthew S. Turner, Ryoichi Yamamoto:
Learning to swim efficiently in a nonuniform flow field. - Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman:
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation. - Quanling Deng, Yulong Li:
Spectral analysis of a family of nonsymmetric fractional elliptic operators. - Valentina Cesare, Ugo Becciani, Alberto Vecchiato, Mario Gilberto Lattanzi, Fabio Pitari, Mario Raciti, Giuseppe Tudisco, Marco Aldinucci, Beatrice Bucciarelli:
The Gaia AVU-GSR parallel solver: preliminary studies of a LSQR-based application in perspective of exascale systems. - Alberto Acuto, Paola Barillà, Ludovico Bozzolo, Matteo Conterno, Mattia Pavese, Antonio Policicchio:
Variational Quantum Soft Actor-Critic for Robotic Arm Control. - Supriyo Dutta:
Perfect State Transfer in Arbitrary Distance. - Tristan Gowdridge, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden:
A topological analysis of cointegrated data: a Z24 Bridge case study. - Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelisation of the HJB Equation and Continuous-Time Linear Quadratic Control. - Alberto Carpentieri, Doris Folini, Martin Wild, Laurent Vuilleumier, Angela Meyer:
Satellite-derived solar radiation for intra-hour and intra-day applications: Biases and uncertainties by season and altitude. - Taichi Uemura:
Normalization and coherence for ∞-type theories. - Tanja Aue, Adam Jatowt, Michael Färber:
Predicting Companies' ESG Ratings from News Articles Using Multivariate Timeseries Analysis. - Alan Kai Hassen, Paula Torren-Peraire, Samuel Genheden, Jonas Verhoeven, Mike Preuss, Igor V. Tetko:
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction. - Harold Erbin, Vincent Lahoche, Dine Ousmane Samary:
Renormalization in the neural network-quantum field theory correspondence. - Piotr Nowakowski, Przemyslaw Rokita:
FieldView: An interactive software tool for exploration of three-dimensional vector fields. - Massimiliano Incudini, Michele Grossi, Antonio Mandarino, Sofia Vallecorsa, Alessandra Di Pierro, David Windridge:
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning. - Fumio Hashimoto, Yuya Onishi, Kibo Ote, Hideaki Tashima, Taiga Yamaya:
Fully 3D Implementation of the End-to-end Deep Image Prior-based PET Image Reconstruction Using Block Iterative Algorithm. - Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann:
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. - Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer, Samuel Yen-Chi Chen:
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse. - Thomas Y. Hou, Shumao Zhang:
Potential Singularity of the Axisymmetric Euler Equations with Cα Initial Vorticity for A Large Range of α. Part I: the 3-Dimensional Case. - Sebastian Franz, Natalia Kopteva:
Green's function estimates for a 2d singularly perturbed convection-diffusion problem: extended analysis. - (Withdrawn) Potential Singularity of the Axisymmetric Euler Equations with Cα Initial Vorticity for A Large Range of α. Part II: the N-Dimensional Case.
- Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori:
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning. - Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. - Noga Alon, Emil Powierski, Michael Savery, Alex Scott, Elizabeth Wilmer:
Invertibility of digraphs and tournaments. - Pierre Bras:
Langevin algorithms for Markovian Neural Networks and Deep Stochastic control. - Stephen Salerno, Yi Li:
Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm. - Pouriya Khaliliyan, Sara Azizi, Mohammad Hossein Amiri, Javad T. Firouzjaee:
Design interpretable experience of dynamical feed forward machine learning model for forecasting NASDAQ. - Mathias Staudigl, Paulin Jacquot:
Distributed Random Block-Coordinate descent methods for ill-posed composite convex optimisation problems. - Helda Pahlavani, Kostas Tsifoutis-Kazolis, Prerak Mody, Jie Zhou, Mohammad J. Mirzaali, Amir A. Zadpoor:
Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials. - Emmanuel Alanis, Sudheer Chava, Agam Shah:
Benchmarking Machine Learning Models to Predict Corporate Bankruptcy. - Cheng Guo, Harsha Nagarajan, Merve Bodur:
Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem. - Angelos Vasilopoulos, Nan Miles Xi:
Predicting Survival of Tongue Cancer Patients by Machine Learning Models. - Alexander B. Atanasov, Blake Bordelon, Sabarish Sainathan, Cengiz Pehlevan:
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes. - Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, Lan Wang:
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. - Erich Schubert:
Stop using the elbow criterion for k-means and how to choose the number of clusters instead. - Tao Zhang, Gennian Ge:
On linear diameter perfect Lee codes with diameter 6. - Andreas Blatter, Jan Draisma, Filip Rupniewski:
Countably many asymptotic tensor ranks. - Jean-Baptiste Fest, Tommi Heikkilä, Ignace Loris, Ségolène Martin, Luca Ratti, Simone Rebegoldi, Gesa Sarnighausen:
On a fixed-point continuation method for a convex optimization problem. - Surochita Pal Das, Sushmita Mitra, B. Uma Shankar:
Collective Intelligent Strategy for Improved Segmentation of COVID-19 from CT. - Oskar Kviman, Hazal Koptagel, Harald Melin, Jens Lagergren:
Statistical Distance Based Deterministic Offspring Selection in SMC Methods. - Carl Feghali, Felicia Lucke, Daniël Paulusma, Bernard Ries:
New Hardness Results for (Perfect) Matching Cut and Disconnected Perfect Matching. - Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi:
Infrared Image Super-Resolution: Systematic Review, and Future Trends. - Bile Peng, Karl-Ludwig Besser, Ramprasad Raghunath, Eduard A. Jorswieck:
Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning. - Hui Huang, Jinniao Qiu, Konstantin Riedl:
Consensus-Based Optimization for Saddle Point Problems. - Gregory W. Kyro, Rafael I. Brent, Victor S. Batista:
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction. - Jason P. Bell, Jeffrey O. Shallit:
Counterexamples to a Conjecture of Dombi in Additive Number Theory. - Luca Nenna, Brendan Pass:
An ODE characterisation of multi-marginal optimal transport. - John McDonough, Andrzej Herczynski:
Fractal Patterns in Music. - Toby St Clere Smithe:
Mathematical Foundations for a Compositional Account of the Bayesian Brain. - David Dierickx, Patrick Cleeve, Sergey Gorelick, James C. Whisstock, Alex De Marco:
Juno: a Python-based graphical package for optical system design. - Antoine Villié, Philippe Veber, Yohann de Castro, Laurent Jacob:
Neural Networks beyond explainability: Selective inference for sequence motifs. - Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko:
Adapting to game trees in zero-sum imperfect information games. - Harry J. Davies, Danilo P. Mandic:
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach. - Matthew Fickus, Joseph W. Iverson, John Jasper, Dustin G. Mixon:
Equi-isoclinic subspaces, covers of the complete graph, and complex conference matrices. - Guillaume Bal, Jeremy G. Hoskins, Solomon Quinn, Manas Rachh:
Integral formulation of Klein-Gordon singular waveguides. - Jason M. Altschuler, Kunal Talwar:
Concentration of the Langevin Algorithm's Stationary Distribution. - Wai Ming Chau, Shingyu Leung:
Within-Cluster Variability Exponent for Identifying Coherent Structures in Dynamical Systems. - Jeremy J. Chiu, Albert Wong, James Park, Joe Mahony, Michael Ferri, Tim Berson:
Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm. - Vassilis Apidopoulos, Tomaso A. Poggio, Lorenzo Rosasco, Silvia Villa:
Iterative regularization in classification via hinge loss diagonal descent. - Zhijie Lai, Sen Li:
Towards a Multimodal Charging Network: Joint Planning of Charging Stations and Battery Swapping Stations for Electrified Ride-Hailing Fleets. - Alessandro Gnoatto, Silvia Lavagnini, Athena Picarelli:
Deep Quadratic Hedging. - Stefan Blücher, Klaus-Robert Müller, Stefan Chmiela:
Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. - Lea M. Trenkwalder, Andrea López-Incera, Hendrik Poulsen Nautrup, Fulvio Flamini, Hans J. Briegel:
Automated Gadget Discovery in Science. - Si-Nian Jin, Dian-Wu Yue, Yi-Ling Chen, Qing Hu:
Energy Efficiency Maximization in IRS-Aided Cell-Free Massive MIMO System. - Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon:
Deep Latent State Space Models for Time-Series Generation. - Yanan Xiao, Minyu Liu, Zichen Zhang, Lu Jiang, Minghao Yin, Jianan Wang:
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning. - Mekkia Kouider, Mohamed Zamime:
On the path partition of graphs. - Diederik Aerts, Jonito Aerts Arguëlles, Lester Beltran, Sandro Sozzo:
Development of a Thermodynamics of Human Cognition and Human Culture. - Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu:
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. - Miralem Mehic, Harun Siljak:
SarDub19: An Error Estimation and Reconciliation Protocol. - Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi:
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images. - Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song:
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. - Ankur Pal, Abhishek Shukla, Anirban Pathak:
An efficient quantum-classical hybrid algorithm for distorted alphanumeric character identification. - Bijie Bai, Heming Wei, Xilin Yang, Deniz Mengu, Aydogan Ozcan:
Data class-specific all-optical transformations and encryption. - Remo Kretschmann, Daniel Wachsmuth, Frank Werner:
Optimal regularized hypothesis testing in statistical inverse problems. - Jianquan Wang, Basim Hafidh, Haiwei Dong, Abdulmotaleb El-Saddik:
Sitting Posture Recognition Using a Spiking Neural Network. - Ieva Cepaite:
Simulation of Networked Quantum Computing on Encrypted Data. - (Withdrawn) Doubly Smoothed GDA: Global Convergent Algorithm for Constrained Nonconvex-Nonconcave Minimax Optimization.
- Pranath Reddy:
Application of Unsupervised Domain Adaptation for Structural MRI Analysis. - Yakun Dong, Kristian Bredies, Hongpeng Sun:
A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems. - Reza Rezaie:
Detection and Tracking of Low Observable Objects in a Sequence of Image Frames Using Particle Filter. - Mei Gah Lim, Hoi Leong Lee:
Diagnosis of COVID-19 based on Chest Radiography. - Tomoharu Iwata, Yoshinobu Kawahara:
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies. - Qi Ming How, Hoi Leong Lee:
Kidney and Kidney Tumour Segmentation in CT Images. - Peng Xiao, Xiaodong Hu, Ke Ma, Gengyuan Wang, Ziqing Feng, Yuancong Huang, Jin Yuan:
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset. - Weizhi Du, Harvey Tian:
Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images. - Arindam Dutta, Anirban Pathak:
New protocols for quantum key distribution with explicit upper and lower bound on secret-key rate. - Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono:
Neural Structure Fields with Application to Crystal Structure Autoencoders. - Pavan B. Garadi, Sai Bhargav M, Harishesh J. K, Mamatha A S:
Micro-Actuators and Implementation. - Yinan Li, Youming Qiao, Avi Wigderson, Yuval Wigderson, Chuanqi Zhang:
On linear-algebraic notions of expansion. - Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. - Vikram Singh, Vikram Singh:
Higher order organizational features can distinguish protein interaction networks of disease classes: a case study of neoplasms and neurological diseases. - J. A. Carrillo, F. Hoffmann, A. M. Stuart, U. Vaes:
The Ensemble Kalman Filter in the Near-Gaussian Setting. - Fatih Kamisli:
Learned Lossless Image Compression Through Interpolation With Low Complexity. - Alfa Rossi, Mojtaba Rahimi, David Le, Taeyoon Son, Michael J. Heiferman, R. V. Paul Chan, Xincheng Yao:
A portable widefield fundus camera with high dynamic range imaging capability. - Md. Rezaul Karim, Tanhim Islam, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker:
Explainable AI for Bioinformatics: Methods, Tools, and Applications. - Binxu Wang, Carlos R. Ponce:
On the Level Sets and Invariance of Neural Tuning Landscapes. - M. I. Sitnov, G. K. Stephens, V. G. Merkin, C.-P. Wang, D. Turner, K. Genestreti, M. Argall, T. Y. Chen, A. Y. Ukhorskiy, S. Wing, Y.-H. Liu:
Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Dealing with the Sparse Data Challenge. - Riza Özçelik, Derek van Tilborg, José Jiménez-Luna, Francesca Grisoni:
Structure-based drug discovery with deep learning. - Ryan M. McGranaghan, Barbara J. Thompson, Enrico Camporeale, J. Bortnik, Monica G. Bobra, G. Lapenta, S. Wing, Bala Poduval, S. Lotz, S. Murray, Michael S. F. Kirk, T. Y. Chen, H. M. Bain, P. Riley, B. Tremblay, M. Cheung, Véronique Delouille:
Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050. - John C. Dorelli, Christopher M. Bard, Thomas Y. Chen, Daniel da Silva, Luiz Fernando Guides dos Santos, Jack Ireland, Michael Kirk, Ryan McGranaghan, Ayris Narock, Teresa Nieves-Chinchilla, Marilia Samara, Menelaos Sarantos, Pete Schuck, Barbara J. Thompson:
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory. - Syed Rakib Hasan, Mostafa Zaman Chowdhury, Md. Saiam, Yeong Min Jang:
Quantum Communication Systems: Vision, Protocols, Applications, and Challenges. - Jiang-Yao Luo, Jian-Hua Yuan:
A Kernel Search Algorithm for Virtual Machine Consolidation Problem. - Rahul Kumar Dubey:
Power Quality Event Recognition and Classification Using an Online Sequential Extreme Learning Machine Network based on Wavelets. - Thomas Robotham, Ashutosh Singla, Olli S. Rummukainen, Alexander Raake, Emanuël A. P. Habets:
Audiovisual Database with 360 Video and Higher-Order Ambisonics Audio for Perception, Cognition, Behavior, and QoE Evaluation Research. - Kemal Yildiz:
Foundations of self-progressive choice theories. - Yuhan Xu, Renqing Luo:
Flattening Surface Based On Using Contour Estimating Subdivision Surface. - Shikun Cui, Zhen Wang:
Efficient method for calculating the eigenvalue of the Zakharov-Shabat system. - Zitai Xu, Yisi Luo, Bangyu Wu, Deyu Meng:
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning. - Taehyun Hwang, Min-hwan Oh:
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation. - Kohtaro Tadaki:
An effectivization of the law of large numbers for algorithmically random sequences and its absolute speed limit of convergence. - Devsi Bantva:
Optimal radio labelings of graphs. - Erdong Guo, David Draper, Maria De Iorio:
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks. - Chang Liu, Shuangyang Li, Weijie Yuan, Xuemeng Liu, Derrick Wing Kwan Ng:
Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach. - Liheng Bian, Haoze Song, Lintao Peng, Xuyang Chang, Xi Yang, Roarke Horstmeyer, Lin Ye, Tong Qin, Dezhi Zheng, Jun Zhang:
Large-scale single-photon imaging. - Chongjun Ouyang, Ali Bereyhi, Saba Asaad, Ralf R. Müller, Hongwen Yang:
Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO. - Wedad Alharbi, Daniel Freeman, Dorsa Ghoreishi, Claire Lois, Shanea Sebastian:
Stable phase retrieval and perturbations of frames. - Yukiya Hono, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism. - Shuihua Wang, Ahmed M. S. E. K. Abdelaty, Kelly Parke, Jayanth Ranjit Arnold, Gerry P. McCann, Ivan Yu. Tyukin:
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images. - Lukman Hakim, Takio Kurita:
Pixel Relationships-based Regularizer for Retinal Vessel Image Segmentation. - Fang Xie, Lihu Xu, Qiuran Yao, Huiming Zhang:
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs. - Srijay Deshpande, Muhammad Dawood, Fayyaz A. Minhas, Nasir M. Rajpoot:
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts. - Suba S, Nita Parekh:
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images. - Nicolas Jolly, Giuseppe Di Molfetta:
Twisted quantum walks, generalised Dirac equation and Fermion doubling. - Sergey V. Stasenko, Andrey Kovalchuk, Eremin Evgeny, Natalya Zarechnova, Maria Tsirkova, Sergey Permyakov, Sergey Parin, Sofia Polevaya:
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram. - Juan Vazquez-Rodriguez, Grégoire Lefebvre, Julien Cumin, James L. Crowley:
Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals. - Yihao Fang, Mu Niu, Pokman Cheung, Lizhen Lin:
Extrinsic Bayesian Optimizations on Manifolds. - Dong-Young Kim, Dong-Kyun Han, Hye-Bin Shin:
Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation. - Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön:
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. - Sergey V. Stasenko, Olga Shemagina, Eremin Evgeny, Vladimir G. Yakhno, Sergey Parin, Sofia Polevaya:
Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram. - Deniz Bilgili, Gamze Kecibas, Cemile Besirova, Mohammad Reza Chehrehzad, Gizem Burun, Toprak Pehlivan, Ugur Uresin, Engin Emekli, Ismail Lazoglu:
Tool flank wear prediction using high-frequency machine data from industrial edge device. - Dandison C. Ukpabi, Heikki Karjaluoto, Astrid Bötticher, Anastasija Nikiforova, Dragos Petrescu, Paulina Schindler, Visvaldis Valtenbergs, Lennard Lehmann, Abuzer Yakaryilmaz:
Framework for understanding quantum computing use cases from a multidisciplinary perspective and future research directions. - Shuai Shao, Yu Guan, Xin Guan, Paolo Missier, Thomas Ploetz:
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition. - Heon-Gyu Kwak, Young-Seok Kweon, Gi-Hwan Shin:
Siamese Sleep Transformer For Robust Sleep Stage Scoring With Self-knowledge Distillation and Selective Batch Sampling. - Suba S, Nita Parekh, Ramesh Loganathan, Vikram Pudi, Chinnababu Sunkavalli:
Evaluating Generalizability of Deep Learning Models Using Indian-COVID-19 CT Dataset. - Ahmet Alacaoglu, Axel Böhm, Yura Malitsky:
Beyond the Golden Ratio for Variational Inequality Algorithms. - Niloufar Delfan:
Lung-Net: A deep learning framework for lung tissue segmentation in three-dimensional thoracic CT images. - Wolfgang Karl Härdle, Yegor Klochkov, Alla Petukhina, Nikita Zhivotovskiy:
Robustifying Markowitz. - Nuno Gomes, Matilde Pato, Pedro Santos, André Lourenço, Lourenço Abrunhosa Rodrigues:
Anxolotl, an Anxiety Companion App - Stress Detection. - Akhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua Lampert, Alexander Charney, Hayit Greenspan, Benjamin S. Glicksberg, Jagat Narula, Girish N. Nadkarni:
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. - Cheng Tan, Zhangyang Gao, Stan Z. Li:
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. - AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot, Ivan Dokmanic:
FunkNN: Neural Interpolation for Functional Generation. - Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu:
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. - Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli:
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach. - Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Samuel Palmer, Saeed S. Jahromi, Shivam Sharma, Tomas Dominguez, Kris Tziritas, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Samuel Mugel, Roman Orus:
Quantum-Inspired Tensor Neural Networks for Option Pricing. - Arijit Ghosh, Soumi Nandi:
Heterochromatic Higher Order Transversals for Convex Sets. - Matthias Christandl, Fulvio Gesmundo, Vladimir Lysikov, Vincent Steffan:
Partial Degeneration of Tensors. - Wei Zhang, Yueyue Jiang, Junyu Dong, Xiaojiang Song, Renbo Pang, Boyu Guoan, Hui Yu:
A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific. - Neil K. Chada, Quanjun Lang, Fei Lu, Xiong Wang:
A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators. - Kamil Khadiev:
Lecture Notes on Quantum Algorithms. - Yinghao Aaron Li, Cong Han, Nima Mesgarani:
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models. - Antonios Argyriou, Dimitrios Kosmanos:
Doppler Spoofing in OFDM Wireless Communication Systems. - Yannik P. Wotte, Sven Dummer, Nicolò Botteghi, Christoph Brune, Stefano Stramigioli, Federico Califano:
Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators. - Misha Glazunov, Apostolis Zarras:
Do Bayesian Variational Autoencoders Know What They Don't Know? - Marc Härkönen, Markus Lange-Hegermann, Bogdan Raita:
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients. - Guanbo Wang, Chijie Zhuang:
Multi-Phase EMTR-based Fault Location Method Using Direct Convolution Considering Frequency-Dependent Parameters and Lossy Ground. - William Kretschmer:
Quantum Mass Production Theorems. - Chen Xu, Xiuyuan Cheng, Yao Xie:
Invertible normalizing flow neural networks by JKO scheme. - Lucas Friedrich, Jonas Maziero:
Restricting to the chip architecture maintains the quantum neural network accuracy, if the parameterization is a 2-design. - Dmitry Kovalev, Alexander V. Gasnikov, Grigory Malinovsky:
An Optimal Algorithm for Strongly Convex Min-min Optimization. - Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He:
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games. - Boris Hanin, Alexander Zlokapa:
Bayesian Interpolation with Deep Linear Networks. - Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song:
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. - Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song:
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. - MohammadAmin Fazli, Mahdi Lashkari, Hamed Taherkhani, Jafar Habibi:
A Novel Experts Advice Aggregation Framework Using Deep Reinforcement Learning for Portfolio Management. - Miguel Xochicale, Louise Thwaites, Sophie Yacoub, Luigi Pisani, Phung Tran Huy Nhat, Hamideh Kerdegari, Andrew P. King, Alberto Gómez:
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries. - Addison J. Hu, Alden Green, Ryan J. Tibshirani:
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data. - Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic:
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech. - Rui Gao, Indu Kant Deo, Rajeev K. Jaiman:
Node-Element Hypergraph Message Passing for Fluid Dynamics Simulations. - Sulaiman A. Aburakhia, Tareq Tayeh, Ryan Myers, Abdallah Shami:
Similarity-Based Predictive Maintenance Framework for Rotating Machinery. - Max Sklar:
Relative Probability on Finite Outcome Spaces: A Systematic Examination of its Axiomatization, Properties, and Applications. - Wenyu Zhang, Florian Meyer:
Multisensor Multiobject Tracking With High-Dimensional Object States. - Junren Chen, Michael Kwok-Po Ng, Di Wang:
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery. - Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song:
Heterogeneous Synthetic Learner for Panel Data. - Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, Matteo Ravasi:
Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion. - Amit Patel, Tatum Rask:
Poincaré Duality for Generalized Persistence Diagrams of (co)Filtrations. - Xiaodong Li, Pangjing Wu, Chenxin Zou, Qing Li:
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization. - Amir-Reza Asadi:
An Entropy-Based Model for Hierarchical Learning. - Hamid Nasiri, Mohammad Mehdi Ebadzadeh:
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition. - Aditya Pandey, Haseeba Fathiya, Nivedita Patel:
Cross-Domain Shopping and Stock Trend Analysis. - Siddharth Patwardhan, Utso Majumder, Aditya Das Sarma, Mayukha Pal, Divyanshi Dwivedi, Prasanta K. Panigrahi:
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks. - Tatsuaki Wada:
Weyl geometry and the gradient-flow equations in information geometry. - Yann Berquin:
Bayesian statistical learning using density operators. - Jonas Stein, Dominik Ott, Mirco Schönfeld, Sebastian Feld:
NISQ-ready community detection based on separation-node identification. - Yair Censor:
Superiorization: The asymmetric roles of feasibility-seeking and objective function reduction. - Ilnaz Mannapov:
The Improvement of Decision Tree Construction Algorithm Based On Quantum Heuristic Algorithms. - Bagus Tris Atmaja, Haris Ihsannur, Suyanto, Dhany Arifianto:
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning. - Zhenming Yu, Hongyu Huang, Liming Cheng, Wei Zhang, Yueqiu Mu, Kun Xu:
Semantic optical fiber communication system. - (Withdrawn) A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia.
- David Vivancos, Felix Cuesta:
MindBigData 2022 A Large Dataset of Brain Signals. - Hongye Zeng, Kang Zhou, Songhan Ge, Yuchong Gao, Jianhao Zhao, Shenghua Gao, Rui Zheng:
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume. - Umar Yahya, Mwaka Lucky, Muhammed Mansoor, Nankabirwa Sharifah, Abdal Kasule, Kasagga Usama:
IoT-Based Pothole Mapping Agent with Remote Visualization. - G. H. Bustos, H. H. Segnorile:
Extended method for Statistical Signal Characterization using moments and cumulants: Application to recognition of pattern alterations in pulse-like waveforms employing Artificial Neural Networks. - Asma Bensalah, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós:
Easing Automatic Neurorehabilitation via Classification and Smoothness Analysis. - Mohammad Mahdi Dehshibi, Temitayo A. Olugbade, Fernando Díaz-de-María, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez:
Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs. - Michael Kölle, Alessandro Giovagnoli, Jonas Stein, Maximilian Balthasar Mansky, Julian Hager, Claudia Linnhoff-Popien:
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping. - Armand Barbot, Riccardo Gatti:
Unsupervised learning for structure detection in plastically deformed crystals. - Shuyue Guan, Ravi K. Samala, Weijie Chen:
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors. - Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models. - Xi Chen, Zehua Lai, He Li, Yichen Zhang:
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent. - Malgorzata Olejniczak, Julien Tierny:
Topological data analysis of vortices in the magnetically-induced current density in LiH molecule. - Yuval Filmus, Edward A. Hirsch, Sascha Kurz, Ferdinand Ihringer, Artur Riazanov, Alexander Smal, Marc Vinyals:
Irreducible subcube partitions. 1-38 - David S. Berman, Marc S. Klinger:
The Inverse of Exact Renormalization Group Flows as Statistical Inference. - Dongheon Lee, Jung-Woo Choi:
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement. - Shunqi Huang, Lei Liu, Brian M. Kurkoski:
Algebra of L-banded Matrices. - Salvatore F. E. Oliviero, Lorenzo Leone, Seth Lloyd, Alioscia Hamma:
Black Hole complexity, unscrambling, and stabilizer thermal machines. - Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Policy Gradient Algorithm with Optimized Action Decoding. - Shigeki Matsumoto, Yu Watanabe, Yuki Watanabe, Graham White:
Decay of the Mediator Particle at Threshold. - Eugene Kogan:
Josephson transmission line revisited.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-04-25 17:38 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
