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ORCIDCoRR, July 2023
- Ed S. Ma:
Investigating Masking-based Data Generation in Language Models. - Büsra Tabak:
Automated Assignment and Classification of Software Issues. - Sakina Fatima, Hadi Hemmati, Lionel C. Briand:
Black-Box Prediction of Flaky Test Fix Categories Using Language Models. - Nadav Cohen
, Itzik Klein:
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions. - Qasim Ajao, Lanre Sadeeq:
Overview Analysis of Recent Developments on Self-Driving Electric Vehicles. - Yuhao Cui, Xiongwei Wang, Zhongzhou Zhao, Wei Zhou, Haiqing Chen:
CASEIN: Cascading Explicit and Implicit Control for Fine-grained Emotion Intensity Regulation. - Vishvajitsinh Bakrola, Jitendra Nasariwala:
SAHAAYAK 2023 - the Multi Domain Bilingual Parallel Corpus of Sanskrit to Hindi for Machine Translation. - Khalid Saifullah, Yuxin Wen, Jonas Geiping, Micah Goldblum, Tom Goldstein:
Seeing in Words: Learning to Classify through Language Bottlenecks. - Guangtao Zhang, Yiting Duan, Guanyu Pan, Qijing Chen, Huiyu Yang, Zhikun Zhang:
Parameter Identification for Partial Differential Equations with Spatiotemporal Varying Coefficients. - Christoph F. Kurz, Adriana N. König:
Machine learning for potion development at Hogwarts. - Peder Bergebakken Sundt, Theoharis Theoharis:
MARF: The Medial Atom Ray Field Object Representation. - Zenglin Shi, Ying Sun, Mengmi Zhang:
Training-free Object Counting with Prompts. - Fahad Sarfraz, Elahe Arani, Bahram Zonooz:
Towards Brain Inspired Design for Addressing the Shortcomings of ANNs. - Tan Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang:
DisCo: Disentangled Control for Referring Human Dance Generation in Real World. - Samuel Goree, David Crandall:
Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision. - Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto:
Qualitative Prediction of Multi-Agent Spatial Interactions. - Yan Gao, Yan Wang, Qiang Wang:
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation. - Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi:
Transformers in Healthcare: A Survey. - Kshitij Goel, Wennie Tabib:
GIRA: Gaussian Mixture Models for Inference and Robot Autonomy. - Jiaying Wu, Bryan Hooi:
DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection. - Don-Roberts Emenonye, Harpreet S. Dhillon, R. Michael Buehrer:
On the Limits of Single Anchor Localization: Near-Field vs Far-Field. - R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal:
Dataset balancing can hurt model performance. - Stefan Hill, David Fitzek, Patrick Delfmann, Carl Corea:
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? - Juha Tiirola:
A Parts Based Registration Loss for Detecting Knee Joint Areas. - Lianxin Zhang, Yihan Huang, Zhongzhong Cao, Yang Jiao, Huihuan Qian:
Parallel Self-assembly for a Multi-USV System on Water Surface with Obstacles. - John Mark Agosta, Robert Horton:
Redeeming Data Science by Decision Modelling. - Ciera McFarland, Margaret M. Coad:
Collapse of Straight Soft Growing Inflated Beam Robots Under Their Own Weight. - Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz:
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation. - Harnoor Dhingra, Preetiha Jayashanker, Sayali Moghe, Emma Strubell:
Queer People are People First: Deconstructing Sexual Identity Stereotypes in Large Language Models. - Uma Meleti, Abolfazl Razi:
Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems. - Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz:
Distance Functions and Normalization Under Stream Scenarios. - Zhexiong Liu, Cristopher Benge, Siduo Jiang:
Ticket-BERT: Labeling Incident Management Tickets with Language Models. - Prabin Sharma, Kisan Thapa, Dikshya Thapa, Prastab Dhakal, Mala Deep Upadhaya, Santosh Adhikari, Salik Ram Khanal:
Performance of ChatGPT on USMLE: Unlocking the Potential of Large Language Models for AI-Assisted Medical Education. - Ali Ayub, Chrystopher L. Nehaniv, Kerstin Dautenhahn:
A Personalized Household Assistive Robot that Learns and Creates New Breakfast Options through Human-Robot Interaction. - Vladimir Kolmogorov:
A simpler and parallelizable O(√log n)-approximation algorithm for Sparsest Cut. - Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. - Aaron Mueller, Kanika Narang, Lambert Mathias, Qifan Wang, Hamed Firooz:
Meta-training with Demonstration Retrieval for Efficient Few-shot Learning. - Yaxiong Lei, Shijing He, Mohamed Khamis, Juan Ye:
An End-to-End Review of Gaze Estimation and its Interactive Applications on Handheld Mobile Devices. - Ali Ayub, Jainish Mehta, Zachary De Francesco, Patrick Holthaus, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
How Do Human Users Teach a Continual Learning Robot in Repeated Interactions? - Nils Kohl, Stephen F. McCormick, Rasmus Tamstorf:
Multigrid Methods using Block Floating Point Arithmetic. - Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li:
RObotic MAnipulation Network (ROMAN) - Hybrid Hierarchical Learning for Solving Complex Sequential Tasks. - Shiyu Yuan, Carlo Lipizzi:
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches. - N. Harsha Vardhan, Manav Chaudhary:
iMETRE: Incorporating Markers of Entity Types for Relation Extraction. - James Akl, Yash Patil, Chinmay Todankar, Berk Çalli:
Vision-based Oxy-fuel Torch Control for Robotic Metal Cutting. - Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli:
Generalization Limits of Graph Neural Networks in Identity Effects Learning. - Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky:
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. - Jared Stewart, Mayya Tokman, Fabrizio Bisetti, Valentin Dallerit, Oscar H. Díaz-Ibarra:
Variable time-stepping exponential integrators for chemical reactors with analytical Jacobians. - Peter Benner, Kathryn Lund, Jens Saak:
Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). - Ruoqi Zhang, Jens Sjölund:
Risk-sensitive Actor-free Policy via Convex Optimization. - Patrick Emami, Abhijeet Sahu, Peter Graf:
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting. - Hari Venugopalan, Kaustav Goswami, Zain ul Abi Din, Jason Lowe-Power, Samuel T. King, Zubair Shafiq:
Centauri: Practical Rowhammer Fingerprinting. - Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. - Josh Pollock, Catherine Mei, Grace Huang, Daniel Jackson, Arvind Satyanarayan:
Bluefish: A Relational Grammar of Graphics. - Thatchaphol Saranurak, Wuwei Yuan:
Maximal k-Edge-Connected Subgraphs in Almost-Linear Time for Small k. - Xiang Xu, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Karl D. D. Willis, Yasutaka Furukawa:
Hierarchical Neural Coding for Controllable CAD Model Generation. - Maciej Pankiewicz, Ryan Shaun Baker:
Large Language Models (GPT) for automating feedback on programming assignments. - Rodrigo Raya:
The Complexity of Satisfiability Checking for Symbolic Finite Automata. - Christopher Getschmann, Florian Echtler:
LensLeech: On-Lens Interaction for Arbitrary Camera Devices. - Kevin Wils, Boyang Chen:
A symbolic approach to discrete structural optimization using quantum annealing. - Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang:
Stitched ViTs are Flexible Vision Backbones. - Zhuonan Hao, Sangmin Lim, Mohammad Khalid Jawed:
Modeling, Characterization, and Control of Bacteria-inspired Bi-flagellated Mechanism with Tumbling. - Adrian Stando, Mustafa Cavus, Przemyslaw Biecek:
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems. - Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang:
FFPDG: Fast, Fair and Private Data Generation. - Ankita Pasad, Chung-Ming Chien, Shane Settle, Karen Livescu:
What do self-supervised speech models know about words? - Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang:
Counterfactual Collaborative Reasoning. - Robert Kleinberg, Renato Paes Leme, Jon Schneider, Yifeng Teng:
U-Calibration: Forecasting for an Unknown Agent. - Vivek Srikumar, Dan Roth:
The Integer Linear Programming Inference Cookbook. - Benjamin A. Levinstein, Daniel A. Herrmann:
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks. - Jingcheng Li, Loukas Lazos, Ming Li:
SecBeam: Securing mmWave Beam Alignment against Beam-Stealing Attacks. - Mary Damilola Aiyetigbo, Dineshchandar Ravichandran, Reda Chalhoub, Peter Kalivas, Nianyi Li:
Unsupervised Coordinate-Based Video Denoising. - Eric Yanchenko, Tsuyoshi Murata, Petter Holme:
Influence maximization on temporal networks: a review. - Jiangpeng He, Fengqing Zhu:
Single-Stage Heavy-Tailed Food Classification. - Jiangpeng He, Luotao Lin, Jack Ma, Heather A. Eicher-Miller, Fengqing Zhu:
Long-Tailed Continual Learning For Visual Food Recognition. - Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric:
Personality Traits in Large Language Models. - Jing Nan, Wei Dai, Guan Yuan, Ping Zhou:
An Interpretable Constructive Algorithm for Incremental Random Weight Neural Networks and Its Application. - Mingchen Li, Rui Zhang:
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain. - Thomas Navidi, Abbas El Gamal, Ram Rajagopal:
Coordination of DERs for Grid Reliability via Day-ahead Demand-Supply Power Bounds. - Athindran Ramesh Kumar, Kai-Chieh Hsu, Peter J. Ramadge, Jaime F. Fisac:
Fast, Smooth, and Safe: Implicit Control Barrier Functions through Reach-Avoid Differential Dynamic Programming. - Ankit Agrawal, Bohan Zhang, Yashaswini Shivalingaiah, Michael Vierhauser, Jane Cleland-Huang:
A Requirements-Driven Platform for Validating Field Operations of Small Uncrewed Aerial Vehicles. - Shaohui Lin, Wenxuan Huang, Jiao Xie, Baochang Zhang, Yunhang Shen, Zhou Yu, Jungong Han, David S. Doermann:
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler. - Renwang Li, Xiaodan Shao, Shu Sun, Meixia Tao, Rui Zhang:
Beam Scanning for Integrated Sensing and Communication in IRS-aided mmWave Systems. - Yulong Li, Andy Zeng, Shuran Song:
General Part Assembly Planning. - Huixuan Zhang, Xiaojun Wan:
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection. - Jiarui Wang, Huiyu Duan, Jing Liu, Shi Chen, Xiongkuo Min, Guangtao Zhai:
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence. - Dongshen Han, Seungkyu Lee:
Internal-External Boundary Attention Fusion for Glass Surface Segmentation. - Andrew Kean Gao:
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data. - Stephen F. McCormick, Rasmus Tamstorf:
Rounding-Error Analysis of Multigrid V-Cycles. - Shu Liu, Chaoping Xing, Yaqian Zhang:
Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage. - Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Xiujian Liang, Bingshan Liu, Qichao Ying, Zhenxing Qian, Xinpeng Zhang:
StyleStegan: Leak-free Style Transfer Based on Feature Steganography. - Ye Xue, Diego Klabjan, Jean Utke:
S-Omninet: Structured Data Enhanced Universal Multimodal Learning Architecture. - Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. - Ahsan Ali, James J. Brannick, Karsten Kahl, Oliver A. Krzysik, Jacob B. Schroder, Ben S. Southworth:
Constrained Local Approximate Ideal Restriction for Advection-Diffusion Problems. - Kali Krishna Kota, M. S. S. Manasa, Praful D. Mankar, Harpreet S. Dhillon:
Statistically Optimal Beamforming and Ergodic Capacity for RIS-aided MISO Systems. - Sidike Paheding, Abel A. Reyes Angulo:
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. - Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Ziye Jia, Chao Dong, Kun Guo, Qihui Wu:
The Potential of LEO Satellites in 6G Space-Air-Ground Enabled Access Networks. - Seda Dogan Tusha, Muhammad Iqbal Rochman, Armed Tusha, Hossein Nasiri, James Helzerman, Monisha Ghosh:
Evaluating The Interference Potential in 6 GHz: An Extensive Measurement Campaign of A Dense Indoor Wi-Fi 6E Network. - Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation. - Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti:
On a Relation Between the Rate-Distortion Function and Optimal Transport. - Weihang Su, Xiangsheng Li, Yiqun Liu, Min Zhang, Shaoping Ma:
THUIR2 at NTCIR-16 Session Search (SS) Task. - Gergely Bérczi, Honglu Fan, Mingcong Zeng:
An ML approach to resolution of singularities. - Anubhav Dhar, Soumita Hait, Sudeshna Kolay:
Efficient Algorithms for Euclidean Steiner Minimal Tree on Near-Convex Terminal Sets. - Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. - Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan:
InstructEval: Systematic Evaluation of Instruction Selection Methods. - Koichi Fujii, Tomomi Matsui:
Solving break minimization problems in mirrored double round-robin tournament with QUBO solver. - Ying Gao, Qingqing Wu, Wen Chen, Yang Liu, Ming Li, Daniel Benevides da Costa:
IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation. - Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian:
Hierarchical Pretraining for Biomedical Term Embeddings. - Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu:
Self-Supervised Query Reformulation for Code Search. - Md Tamjid Hossain, Hung M. La:
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning. - Min Zhao, Jie Chen, Nicolas Dobigeon:
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. - Yongshang Li, Ronggui Ma, Han Liu, Gaoli Cheng:
HrSegNet : Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation. - Ruijie Yang, Yuanfang Guo, Junfu Wang, Jiantao Zhou, Yunhong Wang:
Common Knowledge Learning for Generating Transferable Adversarial Examples. - Mike A. Botchev:
On convergence of waveform relaxation for nonlinear systems of ordinary differential equations. - Rayees Ahmad Thokar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Nand Kishor Meena, Jin Yang:
Optimally Coordinated Energy Management Framework for Profit Maximization Considering Dispatchable and Non-Dispatchable Energy Resources. - Peter Gangl, Mario Gobrial, Olaf Steinbach:
A space-time finite element method for the eddy current approximation of rotating electric machines. - Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. - Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu:
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. - Daniyar Kazidenov, Sagyn Omirbekov, Meruyet Zhanabayeva, Yerlan Amanbek:
Experimental and numerical study of the effect of polymer flooding on sand production in poorly consolidated porous media. - Lennart Purucker, Joeran Beel:
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML. - Lennart Purucker, Joeran Beel:
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure. - Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Ziqing Wang, Qidong Zhao, Jinku Cui, Xu Liu, Dongkuan Xu:
AutoST: Training-free Neural Architecture Search for Spiking Transformers. - Hidekazu Yoshioka:
Non-singularity of the generalized logit dynamic with an application to fishing tourism. - Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Yongdong Zhang, Zhendong Mao:
DreamIdentity: Improved Editability for Efficient Face-identity Preserved Image Generation. - Khyodeno Mozhui, K. V. Krishna:
Graphs with Permutation-Representation Number at most Three. - Ivo Vatavuk, Zdenko Kovacic:
Constrained Prioritized 3T2R Task Control for Robotic Agricultural Spraying. - David K. E. Green, Adam Jaspan:
Applied Bayesian Structural Health Monitoring: inclinometer data anomaly detection and forecasting. - Fabian Duffhauss, Sebastian Koch, Hanna Ziesche, Ngo Anh Vien, Gerhard Neumann:
SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation. - Hanieh Naderi, Ivan V. Bajic:
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey. - Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot:
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. - Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang:
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. - Jit Mukherjee:
Detection of River Sandbank for Sand Mining with the Presence of Other High Mineral Content Regions Using Multi-spectral Images. - Chong Zhang, Min Dong, Ben Liang, Ali Afana, Yahia Ahmed:
Joint Downlink-Uplink Beamforming for Wireless Multi-Antenna Federated Learning. - Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski:
SHARCS: Shared Concept Space for Explainable Multimodal Learning. - Ishay Haviv:
On Finding Constrained Independent Sets in Cycles. - Bouziane Brik, Hatim Chergui, Lanfranco Zanzi, Francesco Devoti, Adlen Ksentini, Muhammad Shuaib Siddiqui, Xavier Costa-Pérez, Christos V. Verikoukis:
A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions. - Evgeniy Martyushev, Snehal Bhayani, Tomás Pajdla:
Automatic Solver Generator for Systems of Laurent Polynomial Equations. - Benzar Glen S. Grepon, JC P. Margallo, Jonathan B. Maserin, Rio Al-Di A. Dompol:
RUI: A Web-based Road Updates Information System using Google Maps API. - Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Balasubramanian Raman:
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum. - Yuan Fang, Yuanzhi Cai, Lei Fan:
SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening. - Yanjiang Guo, Yen-Jen Wang, Lihan Zha, Zheyuan Jiang, Jianyu Chen:
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment. - Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng:
Variation-aware Vision Transformer Quantization. - Rindo Nakanishi, Yoshiaki Takata, Hiroyuki Seki:
A game-theoretic approach to indistinguishability of winning objectives as user privacy. - Gowtham Ramesh, Makesh Narsimhan Sreedhar, Junjie Hu:
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA. - Dulhan Hansaja Jayalath, Jonas Jürß, Petar Velickovic:
Recursive Algorithmic Reasoning. - Wenzheng Zhang, Chenyan Xiong, Karl Stratos, Arnold Overwijk:
Improving Multitask Retrieval by Promoting Task Specialization. - Jeff Ledford, Ryan Urban, Alec Vidanes:
A note concerning polyhyperbolic and related splines. - Yifan Zhang, Zhiyu Zhu, Junhui Hou:
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection. - Maya Grace Torii, Takahito Murakami, Yoichi Ochiai:
Lottery and Sprint: Generate a Board Game with Design Sprint Method on Auto-GPT. - Gustavo da Silva, Ronnie Edson de Souza Santos:
Comparing Mobile Testing Tools Using Documentary Analysis. - Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin:
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. - Yu-Wei Huang:
Abstract Orientable Incidence Structure and Algorithms for Finite Bounded Acyclic Categories. II. Data Structure and Fundamental Operations. - Georgi Ganev:
When Synthetic Data Met Regulation. - Zuchao Li, Shitou Zhang, Hai Zhao, Yifei Yang, Dongjie Yang:
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer. - Álvaro Huertas-García, Carlos Martí-González, Rubén García Maezo, Alejandro Echeverría Rey:
A Comparative Study of Machine Learning Algorithms for Anomaly Detection in Industrial Environments: Performance and Environmental Impact. - Emmanuel Sam, Benjamin Bergougnoux, Petr A. Golovach, Nello Blaser:
Kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves. - Eike Neumann:
On the Complexity of Robust Eventual Inequality Testing for C-Finite Functions. - Vinitra Swamy, Jibril Frej, Tanja Käser:
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations. - Wei Zhang, Christof Schütte:
Understanding recent deep-learning techniques for identifying collective variables of molecular dynamics. - Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. - Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. - Qi Bi, Shaodi You, Theo Gevers:
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. - Pedro Simplicio, Paul Acquatella, Samir Bennani:
Launcher Attitude Control based on Incremental Nonlinear Dynamic Inversion: A Feasibility Study Towards Fast and Robust Design Approaches. - Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. - Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis:
Residual-based attention and connection to information bottleneck theory in PINNs. - Wojciech Kusa, Óscar E. Mendoza, Petr Knoth, Gabriella Pasi, Allan Hanbury:
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking. - Pin-Jie Lin, Muhammed Saeed, Ernie Chang, Merel C. J. Scholman:
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin. - Xianyi Cheng, Sarvesh Patil, Fatma Zeynep Temel, Oliver Kroemer, Matthew T. Mason:
Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration. - Abdallah Alshantti, Damiano Varagnolo, Adil Rasheed, Aria Rahmati, Frank Westad:
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. - Xishuo Zhang, Lin Liu, Yi Wang, Xiao Liu, Hailong Wang, Anqi Ren, Chetan Arora:
PersonaGen: A Tool for Generating Personas from User Feedback. - Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. - Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur, Wathiq Mansoor, Shadi Atalla, Afaf Benzaibak, Chahrazed Boudellal:
Improving CNN-based Person Re-identification using score Normalization. - Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. - Hammas Bin Tanveer, Mike Puchol, Rachee Singh, Antonio Bianchi, Rishab Nithyanand:
Making Sense of Constellations: Methodologies for Understanding Starlink's Scheduling Algorithms. - Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. - Ruiquan Huang, Yingbin Liang, Jing Yang:
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. - Lukasz Kowalik, Alexandra Lassota, Konrad Majewski, Michal Pilipczuk, Marek Sokolowski:
Detecting Points in Integer Cones of Polytopes is Double-Exponentially Hard. - Pranav Jeevan, Dharshan Sampath Kumar, Amit Sethi:
WavePaint: Resource-efficient Token-mixer for Self-supervised Inpainting. - Hyuk Jun Kweon, Honglin Zhu:
Maximum Overlap Area of Several Convex Polygons Under Translations. - Manoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert:
Applications of Binary Similarity and Distance Measures. - Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. - Mingzhen Shao:
Brightness-Restricted Adversarial Attack Patch. - Zezhou Huang, Rathijit Sen, Jiaxiang Liu, Eugene Wu:
JoinBoost: Grow Trees Over Normalized Data Using Only SQL. - Ramchandran Muthukumar, Jeremias Sulam:
Sparsity-aware generalization theory for deep neural networks. - Pranav Jeevan, Akella Srinidhi, Pasunuri Prathiba, Amit Sethi:
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution. - Zezhou Huang, Jiaxiang Liu, Daniel Alabi, Raul Castro Fernandez, Eugene Wu:
Saibot: A Differentially Private Data Search Platform. - Melvin Mokhtari, Amirreza Hosseini, Alireza Habibi, Adel Karshenas, Ali Amoomahdi:
Intelligent Traffic Control with Smart Speed Bumps. - Pranav Kulkarni, Adway U. Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh:
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. - Qiaomei Li, Kara L. Gavin, Corrine I. Voils, Yonatan Mintz:
An Adaptive Optimization Approach to Personalized Financial Incentives in Mobile Behavioral Weight Loss Interventions. - Jiang Li, Xiaoping Wang, Zhigang Zeng:
A Dual-Stream Recurrence-Attention Network with Global-Local Awareness for Emotion Recognition in Textual Dialogue. - Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff:
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. - Xinzhe Li, Ming Liu, Shang Gao:
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data. - Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. - Prateek Verma:
Conformer LLMs - Convolution Augmented Large Language Models. - Zhenhua Wang, Kaining Ying, Jiajun Meng, Jifeng Ning, Cong Bai:
Human-to-Human Interaction Detection. - Zsolt Zombori, Agapi Rissaki, Kristóf Szabó, Wolfgang Gatterbauer, Michael Benedikt:
Towards Unbiased Exploration in Partial Label Learning. - Yidong Ouyang, Liyan Xie, Chongxuan Li, Guang Cheng:
MissDiff: Training Diffusion Models on Tabular Data with Missing Values. - Ayan Maity, Sudeshna Sarkar:
Data-Driven Probabilistic Energy Consumption Estimation for Battery Electric Vehicles with Model Uncertainty. - Le Xiao, Xin Shan:
PatternGPT : A Pattern-Driven Framework for Large Language Model Text Generation. - Furkan Gursoy, Ioannis A. Kakadiaris:
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. - Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh:
Moments, Random Walks, and Limits for Spectrum Approximation. - Zhaoyu Chen, Bo Li, Shuang Wu, Shouhong Ding, Wenqiang Zhang:
Query-Efficient Decision-based Black-Box Patch Attack. - Tao Wang, Yushu Zhang, Zixuan Yang, Hua Zhang, Zhongyun Hua:
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection. - Yucheng Li:
Adaptive Sampling Control in Motion Planning of Autonomous Vehicle. - Khang Truong Giang, Soohwan Song, Sungho Jo:
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching. - Jingxing Qian, Veronica Chatrath, James Servos, Aaron Mavrinac, Wolfram Burgard, Steven L. Waslander, Angela P. Schoellig:
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments. - Nhat Thanh Tran, Jack Xin:
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series Forecasting. - Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li:
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction. - Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi, Salman Avestimehr:
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory. - Jun Chen, Shipeng Bai, Tianxin Huang, Mengmeng Wang, Guanzhong Tian, Yong Liu:
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning. - Ehsan Latif, Ramviyas Parasuraman:
CQLite: Communication-Efficient Multi-Robot Exploration Using Coverage-biased Distributed Q-Learning. - Brooke Dalton, Mark Stamp:
Classifying World War II Era Ciphers with Machine Learning. - Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi:
On efficient computation in active inference. - Wei Dai, Jiang Liu, Lanhao Wang:
Cloud Ensemble Learning for Fault Diagnosis of Rolling Bearings with Stochastic Configuration Networks. - Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, Itzhak Omer, Sagi Dalyot, Reut Tsarfaty:
HeGeL: A Novel Dataset for Geo-Location from Hebrew Text. - Binqing Wu, Ling Chen:
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting. - Sen Pei, Jiaxi Sun, Peng Qin, Qi Chen, Xinglong Wu, Xun Wang:
End-to-End Out-of-distribution Detection with Self-supervised Sampling. - Naveen Sahu, Mitul Gajera, Amit Chaudhary:
zkFi: Privacy-Preserving and Regulation Compliant Transactions using Zero Knowledge Proofs. - Linoy Tsaban, Apolinário Passos:
LEDITS: Real Image Editing with DDPM Inversion and Semantic Guidance. - Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. - Fariba Bakrani Balani, Luca Bergamaschi, Angeles Martinez, Masoud Hajarian:
Some preconditioning techniques for a class of double saddle point problems. - Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. - Zhong Li, Jiayang Shi, Matthijs van Leeuwen:
Graph Neural Network based Log Anomaly Detection and Explanation. - Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi:
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata. - Zelin Li, Pan Peng, Xianbin Zhu:
Massively Parallel Algorithms for the Stochastic Block Model. - Yiming Li, Yan Zhang, Amirreza Razmjoo, Sylvain Calinon:
Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation. - (Withdrawn) Shared Growth of Graph Neural Networks via Free-direction Knowledge Distillation.
- Aimin Li, Shaohua Wu, Sumei Sun, Jie Cao:
Goal-oriented Tensor: Beyond Age of Information Towards Semantics-Empowered Goal-Oriented Communications. - Meng Lan, Fu Rong, Lefei Zhang:
Referring Video Object Segmentation with Inter-Frame Interaction and Cross-Modal Correlation. - Josu Oca, Montserrat Hermo, Alexander Bolotov:
Revisiting the specification decomposition for synthesis based on LTL solvers. - Do-Yup Kim, Da-Eun Lee, Ji-Wan Kim, Hyun-Suk Lee:
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning. - Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing:
Defending Against Malicious Behaviors in Federated Learning with Blockchain. - Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li:
Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Pengxiang Ma, Ningyu He, Yuhua Huang, Haoyu Wang, Xiapu Luo:
Abusing the Ethereum Smart Contract Verification Services for Fun and Profit. - Rémy Chaput, Olivier Boissier, Mathieu Guillermin:
Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms. - Shuo He, Lei Feng, Guowu Yang:
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. - Tooba M. Shaikh, Asha K. Dond:
Convergence of Adaptive FEM for Distributed Optimal Control Problems Governed by Stokes Equation. - Hananeh Aliee, Ferdinand Kapl, Soroor Hediyeh-Zadeh, Fabian J. Theis:
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity. - Huiyu Tan, Pengfei Gao, Taolue Chen, Fu Song, Zhilin Wu:
SAT-based Formal Fault-Resistance Verification of Cryptographic Circuits. - Silas Santiago Lopes Pereira, José Everardo Bessa Maia:
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views. - Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. - (Withdrawn) Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation.
- Islem Jarraya, Tarek M. Hamdani, Habib Chabchoub, Adel M. Alimi:
TinySiamese Network for Biometric Analysis. - Hemanth Karnati:
IoT-Based Air Quality Monitoring System with Machine Learning for Accurate and Real-time Data Analysis. - Qing Liu:
A novel multi-step method for the partial pole assignment in symmetric quadratic pencil with time delay. - Debaditya Roy, Dhruv Verma, Basura Fernando:
ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition. - Yutian Tang, Zhijie Liu, Zhichao Zhou, Xiapu Luo:
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation. - Qiao Jin, Won Kim, Qingyu Chen, Donald C. Comeau, Lana Yeganova, W. John Wilbur, Zhiyong Lu:
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval. - Xinyue Wang, Zhicheng Cai, Chenglei Peng:
X-MLP: A Patch Embedding-Free MLP Architecture for Vision. - Haoxin Tu, Zhide Zhou, He Jiang, Imam Nur Bani Yusuf, Yuxian Li, Lingxiao Jiang:
LLM4CBI: Taming LLMs to Generate Effective Test Programs for Compiler Bug Isolation. - Haoshu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Junbo Wang, Haoyi Zhu, Cewu Lu:
RH20T: A Robotic Dataset for Learning Diverse Skills in One-Shot. - Zihong Yan, Xiaoyi Wu, Zhuozhu Jian, Bin Lan, Xueqian Wang, Bin Liang:
RH-Map: Online Map Construction Framework of Dynamic Objects Removal Based on Region-wise Hash Map Structure. - Batya Kenig:
Ranked Enumeration of Minimal Separators. - Raphael Antonius Frick, Inna Vogel:
Fraunhofer SIT at CheckThat 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets. - Abel A. Reyes Angulo, Sidike Paheding:
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. - Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. - Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Daiki Koge, Naoaki Ono, Shigehiko Kanaya:
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model. - Angelos Gkikas, Dimitrios Letsios, Tomasz Radzik, Kathleen Steinhöfel:
New Bounds for Time-Dependent Scheduling with Uniform Deterioration. - Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao:
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers. - Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. - Kailai Li:
On Embedding B-Splines in Recursive State Estimation. - Lu Wan, Xiaobing Dai, Torsten Welfonder, Ekaterina Petrova, Pieter Pauwels:
Semi-automated Thermal Envelope Model Setup for Adaptive Model Predictive Control with Event-triggered System Identification. - Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran:
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria. - Stefan Walzer:
What if we tried Less Power? - Lessons from studying the power of choices in hashing-based data structures. - Anne Condon, Yuval Emek, Noga Harlev:
On the Runtime of Chemical Reaction Networks Beyond Idealized Conditions. - Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva:
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization. - Salman Mohamadi, Gianfranco Doretto, Donald A. Adjeroh:
More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning. - Ashutosh Hathidara, Lalit Pandey:
Neuro-Symbolic Sudoku Solver. - Patrik Dokoupil, Ladislav Peska, Ludovico Boratto:
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations. - Ben Perach, Ronny Ronen, Shahar Kvatinsky:
Accelerating Relational Database Analytical Processing with Bulk-Bitwise Processing-in-Memory. - Avish Vijayaraghavan, Cosmin Badea:
Minimum Levels of Interpretability for Artificial Moral Agents. - Minakshi Kaushik, Rahul Sharma, Iztok Fister Jr., Dirk Draheim:
Numerical Association Rule Mining: A Systematic Literature Review. - Yimin Tang, Zhongqiang Ren, Jiaoyang Li, Katia P. Sycara:
Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree. - Firat Kizilirmak, Berrin Yanikoglu:
CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset. - Sagar Manglani:
Real-time Vision-based Navigation for a Robot in an Indoor Environment. - Abdelrahman Sharafeldin, Nabil Imam, Hannah Choi:
Active Sensing with Predictive Coding and Uncertainty Minimization. - Abdelrahman Hosny, Sherief Reda:
Automatic MILP Solver Configuration By Learning Problem Similarities. - Aaron Butterworth, Gabriella Pizzuto, Leszek Pecyna, Andrew I. Cooper, Shan Luo:
Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories. - Maria Strazzullo, Francesco Ballarin, Traian Iliescu, Claudio Canuto:
New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime. - Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen:
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation. - Hao Shu:
SDC-HSDD-NDSA: Structure Detecting Cluster by Hierarchical Secondary Directed Differential with Normalized Density and Self-Adaption. - Praharsh Nanavati, Ranjitha Prasad:
CLIMAX: An exploration of Classifier-Based Contrastive Explanations. - Dami Choi, Yonadav Shavit, David Duvenaud:
Tools for Verifying Neural Models' Training Data. - Kevin Bui, Fanghui Xue, Fredrick Park, Yingyong Qi, Jack Xin:
A Proximal Algorithm for Network Slimming. - Arnav Solanki, Zak Griffin, Purab Ranjan Sutradhar, Amlan Ganguly, Marc D. Riedel:
Neural network execution using nicked DNA and microfluidics. - Kalani R. Danas Rivera, Mason A. Peck:
Camera Calibration from a Single Imaged Ellipsoid: A Moon Calibration Algorithm. - Amir Barda, Yotam Erel, Yoni Kasten, Amit H. Bermano:
ROAR: Robust Adaptive Reconstruction of Shapes Using Planar Projections. - Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker, Lopamudra Praharaj:
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy. - Sharif Ahmed, Nasir U. Eisty:
Exploring the Advances in Identifying Useful Code Review Comments. - Yindi Yao, Xiong Li, Yanpeng Cui, Jiajun Wang, Chen Wang:
Energy-Efficient Routing Protocol Based on Multi-Threshold Segmentation in Wireless Sensors Networks for Precision Agriculture. - Yindi Yao, Xiong Li, Yanpeng Cui, Lang Deng, Chen Wang:
Game Theory and Coverage Optimization Based Multihop Routing Protocol for Network Lifetime in Wireless Sensor Networks. - Yang Zhang, Huilin Pan, Yang Zhou, Mingying Li, Guodong Sun:
Efficient Visual Fault Detection for Freight Train Braking System via Heterogeneous Self Distillation in the Wild. - Hugo A. Akitaya, Andrei Gonczi, Diane L. Souvaine, Csaba D. Tóth, Thomas Weighill:
Reconfiguration of Polygonal Subdivisions via Recombination. - Koshi Oishi, Yasushi Amano, Tomohiko Jimbo:
Scratch Team of Single-Rotor Robots and Decentralized Cooperative Transportation with Robot Failure. - Deyi Ji, Feng Zhao, Hongtao Lu:
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. - Hao Xu, Yuntian Chen, Dongxiao Zhang:
Worth of knowledge in deep learning. - Sepehr Ghadami, Henry Shum:
Designing a Magnetic Micro-Robot for Transporting Filamentous Microcargo. - Setu Kumar Basak, Jamison Cox, Bradley Reaves, Laurie A. Williams:
A Comparative Study of Software Secrets Reporting by Secret Detection Tools. - Junting Pan, Keqiang Sun, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
JourneyDB: A Benchmark for Generative Image Understanding. - Yushan Han, Hui Zhang, Honglei Zhang, Yidong Li:
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds. - Yajie Yu, Hanyu Li:
Tracking Tensor Ring Decompositions of Streaming Tensors. - Weishun Deng, Fan Yu, Zhe Wang, Dengbo He:
Evaluation and Control Model Design of Human Factors for Autonomous Driving Systems. - Koji Hashimoto, Tomoya Naito, Hisashi Naito:
Neural Polytopes. - Weiyi Xiong, Jianan Liu, Tao Huang, Qing-Long Han, Yuxuan Xia, Bing Zhu:
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion. - Sheng Zhao, Qilong Yuan, Yibo Duan, Zhuoyue Chen:
An End-to-End Multi-Module Audio Deepfake Generation System for ADD Challenge 2023. - Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Novelty and Lifted Helpful Actions in Generalized Planning. - Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, Ajmal Mian:
UnLoc: A Universal Localization Method for Autonomous Vehicles using LiDAR, Radar and/or Camera Input. - Rongen Dong:
Joint Power Allocation and Beamforming for Active IRS-aided Directional Modulation Network. - Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. - Md. Khairul Islam, Tyler Valentine, Royal Wang, Levi Davis, Matt Manner, Judy Fox:
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning. - Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Chaoxi Niu, Guansong Pang, Ling Chen:
Graph-level Anomaly Detection via Hierarchical Memory Networks. - Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang, Zhenchang Xing, Chunyang Chen:
Towards Real Smart Apps: Investigating Human-AI Interactions in Smartphone On-Device AI Apps. - Wenting Tang, Xingxing Wei, Bo Li:
Structured Network Pruning by Measuring Filter-wise Interactions. - Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati:
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages. - Yanhui Guo, Xiaolin Wu, Fangzhou Luo:
Learning Noise-Resistant Image Representation by Aligning Clean and Noisy Domains. - Xudong Wang, Shufan Li, Konstantinos Kallidromitis, Yusuke Kato, Kazuki Kozuka, Trevor Darrell:
Hierarchical Open-vocabulary Universal Image Segmentation. - Xiang Wei, Yufeng Chen, Ning Cheng, Xingyu Cui, Jinan Xu, Wenjuan Han:
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph Construction. - Ning Lin, Shaocong Wang, Yi Li, Bo Wang, Shuhui Shi, Yangu He, Woyu Zhang, Yifei Yu, Yue Zhang, Xiaojuan Qi, Xiaoming Chen, Hao Jiang, Xumeng Zhang, Peng Lin, Xiaoxin Xu, Qi Liu, Zhongrui Wang, Dashan Shang, Ming Liu:
Resistive memory-based zero-shot liquid state machine for multimodal event data learning. - Weimin Tan, Siyuan Chen, Bo Yan:
DifFSS: Diffusion Model for Few-Shot Semantic Segmentation. - Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai:
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds. - Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. - Yujia Xiao, Shaofei Zhang, Xi Wang, Xu Tan, Lei He, Sheng Zhao, Frank K. Soong, Tan Lee:
ContextSpeech: Expressive and Efficient Text-to-Speech for Paragraph Reading. - Riccardo Dondi, Manuel Lafond:
An FTP Algorithm for Temporal Graph Untangling. - Teun van der Weij, Simon Lermen, Leon Lang:
Evaluating Shutdown Avoidance of Language Models in Textual Scenarios. - Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, Clayton Miller:
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces. - Fengyuan Liu, Bedoor K. AlShebli, Talal Rahwan:
Editors handle their collaborators' submissions despite explicit policies. - Paul Fischer, Emil Lundt Larsen, Carsten Witt:
First Steps towards a Runtime Analysis of Neuroevolution. - Arne Duyver, Wouter Groeneveld, Kris Aerts:
Does Interdisciplinary Creative Coding Boost Creativity? A Mixed Methods Approach. - Julian Sarpe, Andreas Klaedtke, Herbert De Gersem:
A Parallel-In-Time Adjoint Sensitivity Analysis for a B6 Bridge-Motor Supply Circuit. - Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han:
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling. - Mehrdad Ghadiri:
On Symmetric Factorizations of Hankel Matrices. - Dongwei Wang, Zhi Han, Yanmei Wang, Xiai Chen, Baichen Liu, Yandong Tang:
Review helps learn better: Temporal Supervised Knowledge Distillation. - Albert Piwonski, Julien Dular, Rodrigo Silva Rezende, Rolf Schuhmann:
Finite Element Modeling of Power Cables using Coordinate Transformations. - Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang:
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset. - Qianni Cao, Chen Shen:
A Data-driven Under Frequency Load Shedding Scheme in Power Systems. - Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. - Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views. - Biswajit Khara, Kumar Saurabh, Robert Dyja, Anupam Sharma, Baskar Ganapathysubramanian:
Space-time finite element analysis of the advection-diffusion equation using Galerkin/least-square stabilization. - Akshay Mehra, Yunbei Zhang, Jihun Hamm:
Analysis of Task Transferability in Large Pre-trained Classifiers. - (Withdrawn) Sufficient Conditions on Bipartite Consensus of Weakly Connected Matrix-weighted Networks.
- Luis Miguel Vieira da Silva, Aljosha Köcher, Milapji Singh Gill, Marco Weiss, Alexander Fay:
Toward a Mapping of Capability and Skill Models using Asset Administration Shells and Ontologies. - Shengbo Wang, Ke Li, Yin Yang, Yuting Cao, Tingwen Huang, Shiping Wen:
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning. - Muhammad Fahad:
Ontology-based Mediation with Quality Criteria. - Benedikt Bollig, Arnaud Sangnier, Olivier Stietel:
On the Satisfiability of Local First-Order Logics with Data. - Palina Salanevich:
Injectivity of Multi-window Gabor Phase Retrieval. - Agnese Chiatti, Riccardo Bertoglio, Nico Catalano, Matteo Gatti, Matteo Matteucci:
Surgical fine-tuning for Grape Bunch Segmentation under Visual Domain Shifts. - Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Billing, Martin Magnusson, Kai O. Arras, Achim J. Lilienthal:
Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. - Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann, Christian Theobalt:
VINECS: Video-based Neural Character Skinning. - Mirhan Ürkmez, Carsten Skovmose Kallesøe, Jan Dimon Bendtsen, John Leth:
Scenario Based Cost Optimization of Water Distribution Networks Powered by Grid-Connected Photovoltaic Systems. - Wenhao Li, Zongyuan Han, Yixuan Huang, Shengxin Zhu:
An analysis on stochastic Lanczos quadrature with asymmetric quadrature nodes. - Fabian Göttsch, Noboru Osawa, Issei Kanno, Takeo Ohseki, Giuseppe Caire:
Fairness Scheduling in User-Centric Cell-Free Massive MIMO Wireless Networks. - Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. - Guilherme Dias da Fonseca, Yan Gerard, Bastien Rivier:
Short Flip Sequences to Untangle Segments in the Plane. - Gilles Dowek, Gérard Huet, Benjamin Werner:
On the Definition of the Eta-long Normal Form in Type Systems of the Cube. - Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang:
Review of Large Vision Models and Visual Prompt Engineering. - Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing:
OpenSiteRec: An Open Dataset for Site Recommendation. - (Withdrawn) CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery.
- Yuying Zou, Haotian Li, Yunfan Ren, Wei Xu, Yihang Li, Yixi Cai, Shenji Zhou, Fu Zhang:
Perch a quadrotor on planes by the ceiling effect. - Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang:
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. - Bo Jiang, Tianchi Zhao, Ming Li:
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy. - Xingyu Liu, Juan Chen, Quan Wen:
A Survey on Graph Classification and Link Prediction based on GNN. - Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. - Jaydip Sen:
Cryptography and Key Management Schemes for Wireless Sensor Networks. - Chao Liang, Zongxin Yang, Linchao Zhu, Yi Yang:
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition. - Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam:
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding. - Wrya K. Kadir, Hsuan-Yin Lin, Eirik Rosnes:
Efficient Interpolation-Based Decoding of Reed-Solomon Codes. - Nikolaos Lykousas, Constantinos Patsakis:
Tales from the Git: Automating the detection of secrets on code and assessing developers' passwords choices. - Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Tianyi Zhou:
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation. - Xiaoxin Zhang, Martin Brandt, Xiaoye Tong, Xiaowei Tong, Wenmin Zhang, Florian Reiner, Sizhuo Li, Feng Tian, Yuemin Yue, Weiqi Zhou, Bin Chen, Xiangming Xiao, Rasmus Fensholt:
Mega-cities dominate China's urban greening. - Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil:
Fixing confirmation bias in feature attribution methods via semantic match. - Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz:
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. - Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang, Jiacun Wang:
Enhancing the Robustness of QMIX against State-adversarial Attacks. - Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan:
Contextual Prompt Learning for Vision-Language Understanding. - Vinoth Nandakumar, Arush Tagade, Tongliang Liu:
Why do CNNs excel at feature extraction? A mathematical explanation. - Sergio Burdisso, Esaú Villatoro-Tello, Srikanth R. Madikeri, Petr Motlícek:
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews. - E. Hurwitz, N. Peace, G. Cevora:
Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning. - Qi Jiang, Guoxu Zhou, Qibin Zhao:
Semi-supervised multi-view concept decomposition. - Jorge Martínez Gil:
Automatic Design of Semantic Similarity Ensembles Using Grammatical Evolution. - Mengmeng Liu, Shuangyang Li, Baoming Bai, Giuseppe Caire:
Reduced-Complexity Cross-Domain Iterative Detection for OTFS Modulation via Delay-Doppler Decoupling. - Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting:
Learning Differentiable Logic Programs for Abstract Visual Reasoning. - Ellery Smith, Rahel Paloots, Dimitris Giagkos, Michael Baudis, Kurt Stockinger:
Data-Driven Information Extraction and Enrichment of Molecular Profiling Data for Cancer Cell Lines. - Kemal Oksuz, Tom Joy, Puneet K. Dokania:
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration. - Yunyou Huang, Xianglong Guan, Xiangjiang Lu, Xiaoshuang Liang, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan:
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis. - Oscar Alberto Juiña Quilachamín, Nicolás Navarro-Guerrero:
A Biomimetic Fingerprint for Robotic Tactile Sensing. - Germán Arroyo, Domingo Martín, Tobias Isenberg:
Interpolation of Point Distributions for Digital Stippling. - Uladzislau Kapustsin, Utku Kaya, Thomas Richter:
A hybrid finite element/neural network solver and its application to the Poisson problem. - Gunther Bidlingmaier:
Greedy Minimum-Energy Scheduling. - Isser Kadusale, Gautam Gala, Gerhard Fohler:
Energy-aware Time- and Event-triggered KVM Nodes. - Felix Härer:
A Cross-Chain Query Language for Application-Level Interoperability Between Open and Permissionless Blockchains. - Abdul Karim Gizzini, Yahia Medjahdi, Ali J. Ghandour, Laurent Clavier:
Towards Explainable AI for Channel Estimation in Wireless Communications. - Kang Yi, Jing Xu, Xiao Jin, Fu Guo, Yanfeng Wu:
HODINet: High-Order Discrepant Interaction Network for RGB-D Salient Object Detection. - Mohammed Gharib, Bryce Hopkins, Jackson Murrin, Andre Koka, Fatemeh Afghah:
5G Wings: Investigating 5G-Connected Drones Performance in Non-Urban Areas. - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search. - Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes:
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them. - Yunyou Huang, Xiaoshuang Liang, Xiangjiang Lu, Xiuxia Miao, Jiyue Xie, Wenjing Liu, Fan Zhang, Guoxin Kang, Li Ma, Suqin Tang, Zhifei Zhang, Jianfeng Zhan:
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis. - Cheng Chen, Yong Wang, Lizi Liao, Yueguo Chen, Xiaoyong Du:
REAL: A Representative Error-Driven Approach for Active Learning. - Tailai Song, David Lopez, Michela Meo, Nicola Piovesan, Daniela Renga:
High Altitude Platform Stations: the New Network Energy Efficiency Enabler in the 6G Era. - Elfarouk Harb:
Fishing For Better Constants: The Prophet Secretary Via Poissonization. - Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. - Lina Bariah, Hikmet Sari, Mérouane Debbah:
Digital Twin-Empowered Communications: A New Frontier of Wireless Networks. - Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Wenhui Xi, Yi Pan:
Autism Spectrum Disorder Classification in Children based on Structural MRI Features Extracted using Contrastive Variational Autoencoder. - Ralf Bartho, Katja Thoemmes, Christoph Redies:
Predicting beauty, liking, and aesthetic quality: A comparative analysis of image databases for visual aesthetics research. - Emin Karayel:
An embarrassingly parallel optimal-space cardinality estimation algorithm. - Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk:
Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks. - Zhiguo Ding, Robert Schober, Bayan S. Sharif, H. Vincent Poor:
NOMA-Assisted Grant-Free Transmission: How to Design Pre-Configured SNR Levels? - Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han:
Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning. - Arindam Biswas, Johannes Meintrup:
Kernelizing Problems on Planar Graphs in Sublinear Space and Polynomial Time. - Yonglin Li, Jing Zhang, Xiao Teng, Long Lan:
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation. - Delong Chen, Jianfeng Liu, Wenliang Dai, Baoyuan Wang:
Visual Instruction Tuning with Polite Flamingo. - Dongyang Yu, Yunshi Xie, Wangpeng An, Li Zhang, Yufeng Yao:
Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach. - Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini, Andrea Ciardiello, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Cristian Rossi, Francesco Simula, Matteo Turisini, Piero Vicini:
APEIRON: composing smart TDAQ systems for high energy physics experiments. - Lei Zhang, Pingwen Zhang, Xiangcheng Zheng:
Error estimate for semi-implicit method of sphere-constrained high-index saddle dynamics. - Lala Shakti Swarup Ray, Bo Zhou, Lars Krupp, Sungho Suh, Paul Lukowicz:
SynthCal: A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms. - Seonghui Min, Won-Ki Jeong:
CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation via Backpropagating Refinement. - Arthur Hemmer, Jérôme Brachat, Mickaël Coustaty, Jean-Marc Ogier:
Estimating Post-OCR Denoising Complexity on Numerical Texts. - C. Coelho, M. Fernanda P. Costa, Luís L. Ferrás:
Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data. - Liangliang Yao, Haobo Zuo, Guangze Zheng, Changhong Fu, Jia Pan:
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation. - Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany:
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. - Jun Sur Richard Park, Xueyu Zhu:
A non-intrusive bi-fidelity reduced basis method for time-independent problems. - Eugenio Moro, Francesco Linsalata, Maurizio Magarini, Umberto Spagnolini, Antonio Capone:
Advancing O-RAN to Facilitate Intelligence in V2X. - Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model. - Nikolaos Athanasios Anagnostopoulos, Alexander Braml, Nico Mexis, Florian Frank, Simon Böttger, Martin Hartmann, Sascha Hermann, Elif Bilge Kavun, Stefan Katzenbeisser, Tolga Arul:
Practical Non-Invasive Probing Attacks Against Novel Carbon-Nanotube-Based Physical Unclonable Functions. - Brian S. Mitchell:
Cloud Native Software Engineering. - Isja Mannens, Jesper Nederlof:
A Fine-Grained Classification of the Complexity of Evaluating the Tutte Polynomial on Integer Points Parameterized by Treewidth and Cutwidth. - Xiang Ji, Jiaxin Wei, Yifu Wang, Huiliang Shang, Laurent Kneip:
Cross-modal Place Recognition in Image Databases using Event-based Sensors. - Yucheng Shi, Kaixiong Zhou, Ninghao Liu:
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning. - Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi:
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. - Siming Deng, Junning Liu, Bibekananda Datta, Aishwarya Pantula, David H. Gracias, Thao D. Nguyen, Brian A. Bittner, Noah J. Cowan:
A Data-Driven Approach to Geometric Modeling of Systems with Low-Bandwidth Actuator Dynamics. - Dietmar Berwanger, Laurent Doyen, Thomas Soullard:
Synthesising Full-Information Protocols. - Marija Ivanovska, Vitomir Struc, Janez Pers:
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models. - Sergio Tascon-Morales, Pablo Márquez-Neila, Raphael Sznitman:
Localized Questions in Medical Visual Question Answering. - Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer:
Shi-NeSS: Detecting Good and Stable Keypoints with a Neural Stability Score. - Oscar de Groot, Laura Ferranti, Dariu Gavrila, Javier Alonso-Mora:
Scenario-Based Motion Planning with Bounded Probability of Collision. - Fnu Suya, Xiao Zhang, Yuan Tian, David Evans:
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? - Vatsal Raina, Adian Liusie, Mark J. F. Gales:
Analyzing Multiple-Choice Reading and Listening Comprehension Tests. - Sara Ayhan:
Meaning and identity of proofs in a bilateralist setting: A two-sorted typed lambda-calculus for proofs and refutations. - Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu, Michael J. Wooldridge:
Some challenges of calibrating differentiable agent-based models. - Kevin Kasa, Graham W. Taylor:
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data. - Rita Pucci, Niki Martinel:
UW-ProCCaps: UnderWater Progressive Colourisation with Capsules. - Sándor P. Fekete, Dominik Krupke, Michael Perk, Christian Rieck, Christian Scheffer:
The Lawn Mowing Problem: From Algebra to Algorithms. - Alexander Fengler, Alejandro Lancho, Yury Polyanskiy:
Coded Orthogonal Modulation for the Multi-Antenna Multiple-Access Channel. - Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa:
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion. - Brian Parkinson, Adam Wolf, Péter Galambos, Károly Széll:
Assessment of the Utilization of Quadruped Robots in Pharmaceutical Research and Development Laboratories. - Tim Hageman, Emilio Martínez-Pañeda:
A phase field-based framework for electro-chemo-mechanical fracture: crack-contained electrolytes, chemical reactions and stabilisation. - Argyrios Deligkas, Eduard Eiben, Gregory Z. Gutin, Philip R. Neary, Anders Yeo:
Complexity Dichotomies for the Maximum Weighted Digraph Partition Problem. - Giuseppe Vecchio, Luca Prezzavento, Carmelo Pino, Francesco Rundo, Simone Palazzo, Concetto Spampinato:
MeT: A Graph Transformer for Semantic Segmentation of 3D Meshes. - Patrick Diehl, Steven R. Brandt, Max Morris, Nikunj Gupta, Hartmut Kaiser:
Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java. - Ana Llorens, Federico Simonetta, Martín Serrano, Álvaro Torrente:
musif: a Python package for symbolic music feature extraction. - Federico Rollo, Gennaro Raiola, Andrea Zunino, Nikolaos G. Tsagarakis, Arash Ajoudani:
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization. - Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, Sandro Gabriele Tiddia:
Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. - Marco Dijkslag, Marc Damie, Florian Hahn, Andreas Peter:
Passive Query-Recovery Attack Against Secure Conjunctive Keyword Search Schemes. - Ruiyun Xu, Yue Feng, Hailiang Chen:
ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience. - Qinyong Wang, Zhenxiang Gao, Rong Xu:
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking. - Sameera Horawalavithana, Sai Munikoti, Ian Stewart, Henry Kvinge:
SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions. - Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil:
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. - Shengyi Gao, Zhe Chen, Guo Chen, Wenhai Wang, Tong Lu:
AVSegFormer: Audio-Visual Segmentation with Transformer. - Salman Ul Hassan Dar, Arman Ghanaat, Jannik Kahmann, Isabelle Ayx, Theano Papavassiliu, Stefan O. Schönberg, Sandy Engelhardt:
Investigating Data Memorization in 3D Latent Diffusion Models for Medical Image Synthesis. - Abha Naik, Esra Yeniaras, Gerhard Hellstern, Grishma Prasad, Sanjay Kumar Lalta Prasad Vishwakarma:
From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance. - Romain Molinas, César Quilodrán Casas, Rossella Arcucci, Ovidiu Serban:
A novel approach for predicting epidemiological forecasting parameters based on real-time signals and Data Assimilation. - Ini Oguntola, Joseph Campbell, Simon Stepputtis, Katia P. Sycara:
Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning. - Dhaminda B. Abeywickrama, Nguyen Hao Le, Greg Chance, Peter D. Winter, Arianna Manzini, Alix J. Partridge, Jonathan Ives, John Downer, Graham Deacon, Jonathan Rossiter, Kerstin Eder, Shane Windsor:
Soft Gripping: Specifying for Trustworthiness. - Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Ifeoluwa Adelani, Pontus Stenetorp, Sebastian Riedel, Mikel Artetxe:
Improving Language Plasticity via Pretraining with Active Forgetting. - Lauren E. Conger, Franca Hoffmann, Eric Mazumdar, Lillian J. Ratliff:
Coupled Gradient Flows for Strategic Non-Local Distribution Shift. - Vítor Fortes Rey, Dominique Nshimyimana, Paul Lukowicz:
Don't freeze: Finetune encoders for better Self-Supervised HAR. - Sanjoy Dasgupta, Geelon So:
Online nearest neighbor classification. - Markus Utke, Ulrike Schmidt-Kraepelin:
Anonymous and Copy-Robust Delegations for Liquid Democracy. - Bruno Rodrigues, Ivone Amorim, Ivan Costa, Alexandra Mendes:
Patient-centric health data sovereignty: an approach using Proxy re-encryption. - Zhengdao Chen:
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space. - Kulin Shah, Sitan Chen, Adam R. Klivans:
Learning Mixtures of Gaussians Using the DDPM Objective. - Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud, Ismail Ilkan Ceylan:
PlanE: Representation Learning over Planar Graphs. - Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li:
SAMAug: Point Prompt Augmentation for Segment Anything Model. - Abhishek Panigrahi, Sadhika Malladi, Mengzhou Xia, Sanjeev Arora:
Trainable Transformer in Transformer. - Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim:
Squeezing Large-Scale Diffusion Models for Mobile. - Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Segment Anything Meets Point Tracking. - Lorenz Richter, Julius Berner, Guan-Horng Liu:
Improved sampling via learned diffusions. - Carlos Rodríguez-Pardo, Konstantinos Kazatzis, Jorge Lopez-Moreno, Elena Garces:
NeuBTF: Neural fields for BTF encoding and transfer. - Yuxiang Zhang, Hongwen Zhang, Liangxiao Hu, Hongwei Yi, Shengping Zhang, Yebin Liu:
Real-time Monocular Full-body Capture in World Space via Sequential Proxy-to-Motion Learning. - Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George:
Schema-learning and rebinding as mechanisms of in-context learning and emergence. - Stephen Yang:
Predictive Patentomics: Forecasting Innovation Success and Valuation with ChatGPT. - Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong:
Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach. - Hao Zhou, Melike Erol-Kantarci, Yuanwei Liu, H. Vincent Poor:
Heuristic Algorithms for RIS-assisted Wireless Networks: Exploring Heuristic-aided Machine Learning. - Jian Zhu, Congcong Liu, Pei Wang, Xiwei Zhao, Zhangang Lin, Jingping Shao:
Confidence Ranking for CTR Prediction. - Mattia Giovanni Campana, Franca Delmastro:
Recommender Systems for Online and Mobile Social Networks: A survey. - Zhibai Jia:
Multi-Dialectal Representation Learning of Sinitic Phonology. - Giampaolo Bella, Gianpietro Castiglione, Daniele Francesco Santamaria:
An automated method for the ontological representation of security directives. - Darius Afchar, Romain Hennequin, Vincent Guigue:
Of Spiky SVDs and Music Recommendation. - Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu:
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search. - Yutian Sun, Hai Zhuge:
Discovering Patterns of Definitions and Methods from Scientific Documents. - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. - Dongrun Cai, Xue Chen, Pan Peng:
Effective Resistances in Non-Expander Graphs. - Qazi Mohammad Areeb, Mohammad Nadeem, Shahab Saquib Sohail, Raza Imam, Faiyaz Doctor, Yassine Himeur, Amir Hussain, Abbes Amira:
Filter Bubbles in Recommender Systems: Fact or Fallacy - A Systematic Review. - Bushra Sabir, Muhammad Ali Babar, Sharif Abuadbba:
Interpretability and Transparency-Driven Detection and Transformation of Textual Adversarial Examples (IT-DT). - Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu, Francis Iannacci, Jinjin Zhao:
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport. - Sangrok Lee, Ha Young Kim:
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting. - Chenfei Kang, Peiling Lu, Botao Yu, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian:
EmoGen: Eliminating Subjective Bias in Emotional Music Generation. - Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. - George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. - Neha Sahipjohn, Neil Kumar Shah, Vishal Tambrahalli, Vineet Gandhi:
RobustL2S: Speaker-Specific Lip-to-Speech Synthesis exploiting Self-Supervised Representations. - Mohammad Arif Ul Alam:
Internet of Things Fault Detection and Classification via Multitask Learning. - Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud, Julia Gusak, Olivier Beaumont:
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. - Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. - Daniel Parra, David Joedicke, J. Manuel Velasco, Gabriel Kronberger, José Ignacio Hidalgo:
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction. - Mayank Goel, Venktesh V, Vikram Goyal:
MWPRanker: An Expression Similarity Based Math Word Problem Retriever. - Maximilian Jerdee, Alec Kirkley, M. E. J. Newman:
Normalized mutual information is a biased measure for classification and community detection. - Benjamin Bergougnoux, Vera Chekan, Robert Ganian, Mamadou Moustapha Kanté, Matthias Mnich, Sang-il Oum, Michal Pilipczuk, Erik Jan van Leeuwen:
Space-Efficient Parameterized Algorithms on Graphs of Low Shrubdepth. - Antonio-Jesús Banegas-Luna, Carlos Martinez-Cortes, Horacio Pérez Sánchez:
Fighting the disagreement in Explainable Machine Learning with consensus. - Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov:
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems. - Cullen Haselby, Santhosh Karnik, Mark A. Iwen:
Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. - Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, Rezvaneh Rezapour:
The Evolution of Substance Use Coverage in the Philadelphia Inquirer. - Demétrio F. Boeira, Eder J. Scheid, Muriel Figueredo Franco, Luciano Zembruzki, Lisandro Z. Granville:
Traffic Centralization and Digital Sovereignty: An Analysis Under the Lens of DNS Servers. - Aras Bacho, Holger Boche, Gitta Kutyniok:
Reliable AI: Does the Next Generation Require Quantum Computing? - Igor Rystsov, Marek Szykula:
Primitive Automata that are Synchronizing. - Dipankar Maity:
Efficient Communication for Pursuit-Evasion Games with Asymmetric Information. - Ruchik Mishra, Karla Conn Welch:
Social Impressions of the NAO Robot and its Impact on Physiology. - Moncef Benaicha, David Thulke, M. A. Tugtekin Turan:
Exploring Spoken Named Entity Recognition: A Cross-Lingual Perspective. - Sakib Mahmud Khan, M. Sabbir Salek, Vareva Harris, Gurcan Comert, Eric A. Morris, Mashrur Chowdhury:
Autonomous Vehicles for All? - Iman Sharifi, Aria Alasty:
Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control. - Iman Sharifi, Mustafa Yildirim, Saber Fallah:
Towards Safe Autonomous Driving Policies using a Neuro-Symbolic Deep Reinforcement Learning Approach. - Jianxiang Feng, Matan Atad, Ismael Rodríguez, Maximilian Durner, Stephan Günnemann, Rudolph Triebel:
Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly. - Hisao Tamaki:
A contraction-recursive algorithm for treewidth. - Amaury Trujillo, Clara Bacciu:
Toward Blockchain-based Fashion Wearables in the Metaverse: the Case of Decentraland. - Gaëlle Laperrière, Ha Nguyen, Sahar Ghannay, Bassam Jabaian, Yannick Estève:
Semantic enrichment towards efficient speech representations. - Jonathan Becktor, Frederik Schöller, Evangelos Boukas, Lazaros Nalpantidis:
Robust Uncertainty Estimation for Classification of Maritime Objects. - Gun Pinyo:
Twisted Cubes and their Applications in Type Theory. - Parinya Chalermsook, Fedor V. Fomin, Thekla Hamm, Tuukka Korhonen, Jesper Nederlof, Ly Orgo:
Polynomial-time Approximation of Independent Set Parameterized by Treewidth. - Imre Fekete, Lajos Lóczi:
Linear multistep methods with repeated global Richardson. - Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang:
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. - Amartya Purushottam, Yeongtae Jung, Christopher Xu, Joao Ramos:
Dynamic Mobile Manipulation via Whole-Body Bilateral Teleoperation of a Wheeled Humanoid. - Dominik Bork, Philip Langer, Tobias Ortmayr:
A Vision for Flexibile GLSP-based Web Modeling Tools. - Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu:
Adaptive Principal Component Regression with Applications to Panel Data. - Aniket Gupta, Yiming Xie, Hanumant Singh, Huaizu Jiang:
Direct Superpoints Matching for Fast and Robust Point Cloud Registration. - Shuo Chen, Ning Yang, Meng Zhang, Jun Wang:
Minimizing Age of Information for Mobile Edge Computing Systems: A Nested Index Approach. - Andrej Rode, Wintana Araya Gebrehiwot, Shrinivas Chimmalgi, Laurent Schmalen:
Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation. - Shreya Havaldar, Sunny Rai, Bhumika Singhal, Langchen Liu, Sharath Chandra Guntuku, Lyle H. Ungar:
Multilingual Language Models are not Multicultural: A Case Study in Emotion. - Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer:
Efficient Determination of Safety Requirements for Perception Systems. - Matthew Raffel, Drew Penney, Lizhong Chen:
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. - Ritu Yadav, Andrea Nascetti, Yifang Ban:
A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series. - Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. - Matthew Raffel, Lizhong Chen:
Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation. - Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, Gota Morota:
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms. - Owen O'Neill, Fintan Costello:
Systematic Bias in Sample Inference and its Effect on Machine Learning. - Yijiang Chen, Chengdong Liang, Xiao-Lei Zhang:
Spatial-temporal Graph Based Multi-channel Speaker Verification With Ad-hoc Microphone Arrays. - Javier de la Rosa, Álvaro Pérez Pozo, Salvador Ros, Elena González-Blanco:
ALBERTI, a Multilingual Domain Specific Language Model for Poetry Analysis. - Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Daniele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi:
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives. - Negin Bagherpour, bbas Mohammadiyan:
A New Learning Approach for Noise Reduction. - Chandrika Kamath, Juliette S. Franzman, Brian H. Daub:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part I - Analysis with a Small Sample Size. - Niranda Perera, Arup Kumar Sarker, Mills Staylor, Gregor von Laszewski, Kaiying Shan, Supun Kamburugamuve, Chathura Widanage, Vibhatha Abeykoon, Thejaka Amíla Kanewela, Geoffrey C. Fox:
In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes. - Chandrika Kamath, Juliette S. Franzman:
Spatio-Temporal Surrogates for Interaction of a Jet with High Explosives: Part II - Clustering Extremely High-Dimensional Grid-Based Data. - Amirhossein Farzam, Shashank Shekhar, Isaac Mehlhaff, Marco Morucci:
Multi-Task Learning Improves Performance In Deep Argument Mining Models. - Yat Long Lo, Biswa Sengupta, Jakob N. Foerster, Michael Noukhovitch:
Learning to Communicate using Contrastive Learning. - Sushant Veer, Apoorva Sharma, Marco Pavone:
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. - Rohan Madhwal, Johan Pouwelse:
Web3Recommend: Decentralised recommendations with trust and relevance. - Laurentius Leonard, Shunsuke Inenaga, Hideo Bannai, Takuya Mieno:
Sliding suffix trees simplified. - Daniel Cussen, Jeffrey D. Ullman:
Matrix Multiplication Using Only Addition. - Shuya Nagayasu, Sumio Watanabe:
Free energy of Bayesian Convolutional Neural Network with Skip Connection. - Kuntal Kumar Pal, Michael Gamon, Nirupama Chandrasekaran, Silviu Cucerzan:
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users. - Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. - Tristan Deleu, Yoshua Bengio:
Generative Flow Networks: a Markov Chain Perspective. - Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem:
Consistent Multimodal Generation via A Unified GAN Framework. - Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu:
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. - Yuta Fujishige, Yuki Tsujimaru, Shunsuke Inenaga, Hideo Bannai, Masayuki Takeda:
Linear-time Computation of DAWGs, Symmetric Indexing Structures, and MAWs for Integer Alphabets. - Zhen Zhu, Weijie Lyu, Yao Xiao, Derek Hoiem:
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems. - Rui Wang, Zhiming Zhou, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao, Kaiwen Li:
Learning to Branch in Combinatorial Optimization with Graph Pointer Networks. - Alan Demlow, Michael Neilan:
A tangential and penalty-free finite element method for the surface Stokes problem. - Jiacheng He, Gang Wang, Zhenyu Feng, Shan Zhong, Bei Peng:
Cubature Kalman filter Based on generalized minimum error entropy with fiducial point. - Chen Qiu, Yulin Wu, Weixin Huang, Botao Liu, Shaohuai Shi, Xuan Wang:
A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games. - Jiacheng He, Gang Wang, Kun Zhang, Shan Zhong, Bei Peng, Min Li:
Quantized generalized minimum error entropy for kernel recursive least squares adaptive filtering. - Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. - Zizhuo Li, Jiayi Ma:
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network. - Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. - Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang:
Causal Reinforcement Learning: A Survey. - Brendan King, Jeffrey Flanigan:
Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking. - Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia:
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. - Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall:
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. - Juntao Yang:
Hybrid two-level MCMC for Bayesian Inverse Problems. - Helen Carson, Jason J. Ford, Michael Milford:
Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition. - (Withdrawn) AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation.
- Tatsuya Ishibashi, Kosuke Ono, Noriyuki Kugo, Yuji Sato:
Technical Report for Ego4D Long Term Action Anticipation Challenge 2023. - Chuanyu Pan, Guowei Yang, Taijiang Mu, Yu-Kun Lai:
Generating Animatable 3D Cartoon Faces from Single Portraits. - Pavan Kumar Sharma, Pranamesh Chakraborty:
A Review of Driver Gaze Estimation and Application in Gaze Behavior Understanding. - Zhuoran Li, Ling Pan, Longbo Huang:
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning. - Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooei, Mohammad Sabokrou:
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations. - Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen:
PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. - Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi, Claudio Canuto, Adarsh Krishnamurthy, Baskar Ganapathysubramanian:
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes. - Peixun Long, Jianjun Zhao:
Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs. - Tong Nie, Guoyang Qin, Yunpeng Wang, Jian Sun:
Nexus sine qua non: Essentially Connected Networks for Traffic Forecasting. - Ruben Caraballo, Chansophea Wathanak In, Alberto F. Martín, Ricardo Ruiz-Baier:
Robust finite element methods and solvers for the Biot-Brinkman equations in vorticity form. - Junjie Wu, Dit-Yan Yeung:
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification. - Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. - Zhiqi Li, Zhiding Yu, David Austin, Mingsheng Fang, Shiyi Lan, Jan Kautz, José M. Álvarez:
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. - Nazmul Islam, Seokjoo Shin:
Review of Deep Learning-based Malware Detection for Android and Windows System. - Hsueh-I Lu:
An Optimal Multiple-Class Encoding Scheme for a Graph of Bounded Hadwiger Number. - Jacob J. Relle, Samuel Voß, Ramesch Raschidi, Regine Nessel, Johannes Görich, Mark Oliver Wielpütz, Thorsten Löffler, Vincent Heuveline, Friedrich Kallinowski, Philipp D. Lösel:
HEDI: First-Time Clinical Application and Results of a Biomechanical Evaluation and Visualisation Tool for Incisional Hernia Repair. - Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram:
On Evaluating and Mitigating Gender Biases in Multilingual Settings. - Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. - Mengying Jiang, Guizhong Liu, Biao Zhao, Yuanchao Su, Weiqiang Jin:
Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction. - Yanshi Sun, Zhiguo Ding:
A Fine Grained Stochastic Geometry Based Analysis on LEO Satellite Communication Systems. - Marko Durasevic, Mateja Dumic, Rebeka Coric, Francisco Javier Gil Gala:
Automated design of relocation rules for minimising energy consumption in the container relocation problem. - Sunder Ali Khowaja, Kapal Dev, Syed Muhammad Anwar, Marius George Linguraru:
SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT. - (Withdrawn) LPN: Language-guided Prototypical Network for few-shot classification.
- Constantinos Varsos, Giorgos Flouris, Marina Bitsaki:
Noisy Games: A Study on the Effect of Noise on Game Specifications. - Yanshi Sun, Wei Cao, Momiao Zhou, Zhiguo Ding:
New Designs of Robust Uplink NOMA in Cognitive Radio Inspired Communications. - Simin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang:
Deep Attention Q-Network for Personalized Treatment Recommendation. - Joonkyo Shim, Hyunsoo Yoon:
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack. - Wassim Hamidouche, Lina Bariah, Mérouane Debbah:
Immersive Media and Massive Twinning: Advancing Towards the Metaverse. - Ravi Kakaiya, Rakshith Sathish, Ramanathan Sethuraman, Debdoot Sheet:
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation. - Dongkai Zhou, Jing Guo, Siqiang Wang, Zhong Zheng, Zesong Fei, Weijie Yuan, Xinyi Wang:
OTFS-based Robust MMSE Precoding Design in Over-the-air Computation. - Asim Khan, Taimur Hassan, Muhammad Shafay, Israa Fahmy, Naoufel Werghi, Lakmal D. Seneviratne, Irfan Hussain:
Convolutional Transformer for Autonomous Recognition and Grading of Tomatoes Under Various Lighting, Occlusion, and Ripeness Conditions. - Filip Cano Córdoba, Samuel Judson, Timos Antonopoulos, Katrine Bjørner, Nicholas Shoemaker, Scott J. Shapiro, Ruzica Piskac, Bettina Könighofer:
Analyzing Intentional Behavior in Autonomous Agents under Uncertainty. - Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci:
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations. - Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Gregor Donabauer, Alessia Telari, Alessia Testa, Raffaele Boiano, Davinia Hernández Leo, Martin Ruskov, Davide Taibi, Alessandro Gabbiadini, Dimitri Ognibene:
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study. - Jian Guan, Minlie Huang:
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. - Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros:
Degradation-aware data-enabled predictive control of energy hubs. - Cédric Picron, Tinne Tuytelaars:
EffSeg: Efficient Fine-Grained Instance Segmentation using Structure-Preserving Sparsity. - Yikang Wang, Hiromitsu Nishizaki, Ming Li:
Pretraining Conformer with ASR or ASV for Anti-Spoofing Countermeasure. - Hussam Ghanem, Massinissa Atmani, Christophe Cruz:
Knowledge Graph for NLG in the context of conversational agents. - Joshua Petrack, David Soloveichik, David Doty:
Thermodynamically Driven Signal Amplification. - Mingjie Lu, Yuanxian Huang, Ji Liu, Jinzhang Peng, Lu Tian, Ashish Sirasao:
Separated RoadTopoFormer. - Sándor Szedmák, Riikka Huusari, Tat Hong Duong Le, Juho Rousu:
Scalable variable selection for two-view learning tasks with projection operators. - Elia Cereda, Alessandro Giusti, Daniele Palossi:
Secure Deep Learning-based Distributed Intelligence on Pocket-sized Drones. - Shuyi Wang, Guido Zuccon:
An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. - Muhammad Fahad, Jérôme Darmont:
An Ontology-based Collaborative Business Intelligence Framework. - Vu-Duc Ngo, Tuan-Cuong Vuong, Thien Van Luong, Hung Tran:
Machine Learning-Based Intrusion Detection: Feature Selection versus Feature Extraction. - Paul Stoewer, Achim Schilling, Andreas K. Maier, Patrick Krauss:
Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings. - Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi, Gabriele Facciolo:
Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation. - (Withdrawn) With Trail to Follow: Measurements of Real-world Non-fungible Token Phishing Attacks on Ethereum.
- Franco Marchesoni-Acland, Gabriele Facciolo:
IAdet: Simplest human-in-the-loop object detection. - Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves:
Learning Lie Group Symmetry Transformations with Neural Networks. - Frédéric Marazzato:
Computation of the deformation of a planar kirigami. - Wei Zhang, Ping Zhang, Jian Dong, Yongkang Wang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang:
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising. - Yingji Li, Mengnan Du, Xin Wang, Ying Wang:
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. - Zhenwei Zhang, Xin Wang, Jingyuan Xie, Heling Zhang, Yuantao Gu:
Bridge the Performance Gap in Peak-hour Series Forecasting: The Seq2Peak Framework. - Bin Li, Carsten Jentsch, Emmanuel Müller:
Prototypes as Explanation for Time Series Anomaly Detection. - Nikita Remnev, Sergei Obiedkov, Ekaterina V. Rakhilina, Ivan Smirnov, Anastasia Vyrenkova:
A Language Model for Grammatical Error Correction in L2 Russian. - Zitao Chen, Karthik Pattabiraman:
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. - Paul Kremer, Hriday Bavle, José Luis Sánchez-López, Holger Voos:
S-Nav: Semantic-Geometric Planning for Mobile Robots. - Zhenwei Zhang, Xin Wang, Yuantao Gu:
SageFormer: Series-Aware Graph-Enhanced Transformers for Multivariate Time Series Forecasting. - Olivier Lindamulage De Silva, Vineeth Satheeskumar Varma, Ming Cao, Constantin Morarescu, Samson Lasaulce:
A Stackelberg viral marketing design for two competing players. - Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Javier Kartsch, Andrea Cossettini, Luca Benini:
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing. - Andrey E. Polyakov, Miroslav Krstic:
Fixed-time Stabilization with a Prescribed Constant Settling Time by Static Feedback for Delay-Free and Input Delay Systems. - Mert Nakip, Onur Çopur, Emrah Biyik, Cüneyt Güzelis:
Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network. - Samy Tafasca, Anshul Gupta, Jean-Marc Odobez:
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. - Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang:
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. - Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. - Gregor Betz, Vera Chekan, Tamara Mchedlidze:
Heuristic Algorithms for the Approximation of Mutual Coherence. - Dingjun Wu, Jing Zhang, Xinmei Huang:
Chain of Thought Prompting Elicits Knowledge Augmentation. - Andreas Göldi, Roman Rietsche:
Insert-expansions for Tool-enabled Conversational Agents. - Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski, Dragi Kocev:
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification. - Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang:
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation. - Kaiqi Zhang, Zixuan Zhang, Minshuo Chen, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang:
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks. - Zeev Nutov:
Improved approximation algorithms for some capacitated k edge connectivity problems. - Jonas-Dario Troles, Richard Nieding, Sonia Simons, Ute Schmid:
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data. - Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis:
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. - Pietro Melzi, Ruben Tolosana, Rubén Vera-Rodríguez, Paula Delgado-Santos, Giuseppe Stragapede, Julian Fiérrez, Javier Ortega-Garcia:
Exploring Transformers for On-Line Handwritten Signature Verification. - Ye Liu, Stefan Ultes, Wolfgang Minker, Wolfgang Maier:
Unified Conversational Models with System-Initiated Transitions between Chit-Chat and Task-Oriented Dialogues. - Prabin Sharma, Joanna C. Justus, Govinda R. Poudel:
Sensors and Systems for Monitoring Mental Fatigue: A systematic review. - Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. - Javier de la Rosa, Rolv-Arild Braaten, Per Egil Kummervold, Freddy Wetjen, Svein Arne Brygfjeld:
Boosting Norwegian Automatic Speech Recognition. - Hyeonchang Jeon, In-Chang Baek, Cheong-mok Bae, TaeHwa Park, Wonsang You, Taegwan Ha, Hoyun Jung,