default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCoRR, November 2022
- Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati:
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. - Lei Wang
, Piotr Koniusz:
Uncertainty-DTW for Time Series and Sequences. - Bianka Bakullari, Wil M. P. van der Aalst:
High-Level Event Mining: A Framework. - Xincao Xu, Kai Liu, Penglin Dai, Hao Zhang, Ke Xiao:
Maximizing Quality and Minimizing Cost for VCPS in ISAC-Based Vehicular Networks: A Deep Reinforcement Learning Approach. - Everlyn Asiko Chimoto, Bruce A. Bassett:
Very Low Resource Sentence Alignment: Luhya and Swahili. - Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi:
Generating Sequences by Learning to Self-Correct. - Edward Abel, Sajid Siraj:
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach. - Petar Radanliev, David De Roure:
New and emerging forms of data and technologies: literature and bibliometric review. - A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain:
Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues. - John J. Forbus, Daniel Berleant:
Discrete-Event Simulation in Healthcare Settings: a Review. - Afsana Rahman, Ruhul Amin:
Technology and COVID-19: How Reliant is Society on Technology? - Sarunas Barauskas, Roberto Ripamonti, Emanuele Ragnoli:
Rogue Protocol: A Framework For NFT Royalties Tokenisation. - Paul Scharre, Megan Lamberth:
Artificial Intelligence and Arms Control. - Braxton Rolle, Ravi Kiran:
COVID-19 Infection Exposure to Customers Shopping during Black Friday. - Roba Alsaigh, Rashid Mehmood, Iyad A. Katib:
AI Explainability and Governance in Smart Energy Systems: A Review. - José González Cabañas, Patricia Callejo, Rubén Cuevas, Steffen Svartberg, Tommy Torjesen, Ángel Cuevas, Antonio Pastor, Mikko Kotila:
CarbonTag: A browser-based method for approximating energy consumption of online ads. - Oluwatosin Samuel Falebita:
Secure Web-Based Student Information Management System. - Sergio R. Coria, Luz M. Garcia-Garcia:
Digital divide among the States of Mexico: a comparison 2010-2020. - A. T. M. Mustafa Masud Chowdhury, Jeenat Sultana, Md Sakib Ullah Sourav:
IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System in Major Bangladeshi Cities. - Gizem Gezici:
Automated Gender Bias Evaluation in YouTube. - Ankush Chakrabarty:
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach. - Natalie Klein, Amber J. Day, Harris Mason, Michael W. Malone, Sinead A. Williamson:
Denoising neural networks for magnetic resonance spectroscopy. - Soumyanil Banerjee, Ming Dong, Weisong Shi:
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting. - Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang:
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Fernando V. Ravelo, Pedro S. Peixoto, Martin Schreiber:
An explicit exponential time integrator based on Faber polynomials and its application to seismic wave modelling. - Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet:
Disentangled (Un)Controllable Features. - Vung Pham, Du Nguyen, Christopher Donan:
Road Damages Detection and Classification with YOLOv7. - Kevin Weinberger, Robert-Jeron Reifert, Aydin Sezgin, Ertugrul Basar:
RIS-enhanced Resilience in Cell-Free MIMO. - Daniel P. Benalcazar, Juan E. Tapia, Sebastian Gonzalez, Christoph Busch:
Synthetic ID Card Image Generation for Improving Presentation Attack Detection. - Shangchen Han, Po-Chen Wu, Yubo Zhang, Beibei Liu, Linguang Zhang, Zheng Wang, Weiguang Si, Peizhao Zhang, Yujun Cai, Tomas Hodan, Randi Cabezas, Luan Tran, Muzaffer Akbay, Tsz-Ho Yu, Cem Keskin, Robert Wang:
UmeTrack: Unified multi-view end-to-end hand tracking for VR. - Stephan Hilb, Andreas Langer:
A General Decomposition Method for a Convex Problem Related to Total Variation Minimization. - Muhammad Suffian Nizami, Muhammad Yaseen Khan, Alessandro Bogliolo:
Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI). - Rochelle Choenni, Dan Garrette, Ekaterina Shutova:
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. - Théo Morales, Gerard Lacey:
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? - Sangdon Park, Xiang Cheng, Taesoo Kim:
Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning. - Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe:
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. - Avery Ma, Nikita Dvornik, Ran Zhang, Leila Pishdad, Konstantinos G. Derpanis, Afsaneh Fazly:
SAGE: Saliency-Guided Mixup with Optimal Rearrangements. - Xinjian Li, Ye Jia, Chung-Cheng Chiu:
Textless Direct Speech-to-Speech Translation with Discrete Speech Representation. - Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of Non-semantic Speech Tasks with Pretrained Models. - Ingo Wald:
GPU-friendly, Parallel, and (Almost-)In-Place Construction of Left-Balanced k-d Trees. - Anoop Krishnan, Brian Neas, Ajita Rattani:
Is Facial Recognition Biased at Near-Infrared Spectrum As Well? - Christian M. Jensen, Mathias C. Frederiksen, Carsten Skovmose Kallesøe, Jeppe N. Jensen, Laurits H. Andersen, Roozbeh Izadi-Zamanabadi:
HAVOK Model Predictive Control for Time-Delay Systems with Applications to District Heating. - Sebastian Gehrmann, Sebastian Ruder, Vitaly Nikolaev, Jan A. Botha, Michael Chavinda, Ankur P. Parikh, Clara Rivera:
TaTa: A Multilingual Table-to-Text Dataset for African Languages. - Randy J. Chase, David R. Harrison, Gary M. Lackmann, Amy McGovern:
A Machine Learning Tutorial for Operational Meteorology, Part II: Neural Networks and Deep Learning. - Titas Chakraborty, Akshay Bhagat, Henggang Cui:
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss. - Yousu Chen, Liwei Wang, Xiaoyuan Fan, Dexin Wang, James Ogle:
A 5G Enabled Adaptive Computing Workflow for Greener Power Grid. - Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji:
A Close Look into the Calibration of Pre-trained Language Models. - Priyanka Sukumaran, Conor J. Houghton, Nina Kazanina:
Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules. - Martin Lumiste, Andrei Ilie:
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge. - Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford:
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. - Rohan Sawhney, Daqi Lin, Markus Kettunen, Benedikt Bitterli, Ravi Ramamoorthi, Chris Wyman, Matt Pharr:
Decorrelating ReSTIR Samplers via MCMC Mutations. - Ruichen Yao, Ziteng Cui, Xiaoxiao Li, Lin Gu:
Improving Fairness in Image Classification via Sketching. - François Charton:
What is my math transformer doing? - Three results on interpretability and generalization. - Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. - Suyoun Kim, Ke Li, Lucas Kabela, Rongqing Huang, Jiedan Zhu, Ozlem Kalinli, Duc Le:
Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition. - Rayan Wali:
Xtreme Margin: A Tunable Loss Function for Binary Classification Problems. - Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus:
Learning to Navigate Wikipedia by Taking Random Walks. - Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang:
The Numerical Stability of Hyperbolic Representation Learning. - Sharut Gupta, Kartik Ahuja, Mohammad Havaei, Niladri Chatterjee, Yoshua Bengio:
FL Games: A Federated Learning Framework for Distribution Shifts. - Wenli Yang, Guan Huang, Renjie Li, Jiahao Yu, Yanyu Chen, Quan Bai, Beyong Kang:
Hybrid CNN -Interpreter: Interpret local and global contexts for CNN-based Models. - Maksim Makarenko, Elnur Gasanov, Rustem Islamov, Abdurakhmon Sadiev, Peter Richtárik:
Adaptive Compression for Communication-Efficient Distributed Training. - Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt:
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. - Tomas Petricek, Gerrit J. J. van den Burg, Alfredo Nazábal, Taha Ceritli, Ernesto Jiménez-Ruiz, Christopher K. I. Williams:
AI Assistants: A Framework for Semi-Automated Data Wrangling. - Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. - Bernd Pfrommer:
Frequency Cam: Imaging Periodic Signals in Real-Time. - Irfan Al-Hussaini, Davi Nakajima An, Albert J. Lee, Sarah Bi, Cassie S. Mitchell:
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. - Zhenghua Xu, Changhong Deng, Qiuling Yang:
A Primary Frequency Control Strategy for Variable-Speed Pumped-Storage Plant in Power Generation Based on Adaptive Model Predictive Control. - Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao:
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection. - Yingjie Xue, Di Jin, Maurice Herlihy:
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. - Nouman Khan, Mehrdad Moharrami, Vijay G. Subramanian:
Rarest-First with Probabilistic-Mode-Suppression. - Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas:
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows. - Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen:
Distributed Graph Neural Network Training: A Survey. - Feiyang Han, Yimin Wei, Pengpeng Xie:
Tensor Regularized Total Least Squares Methods with Applications to Image and Video Deblurring. - Junqiang Huang, Zichao Guo:
Pixel-Wise Contrastive Distillation. - Lei Kou, Yang Li, Fangfang Zhang, Xiaodong Gong, Yinghong Hu, Quande Yuan, Wende Ke:
Review on Monitoring, Operation and Maintenance of Smart Offshore Wind Farms. - Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan:
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation. - Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao:
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Hee Jun Yang, Hyea Hyun Kim:
Additive Schwarz algorithms for neural network approximate solutions. - Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler:
Transfer Learning with Kernel Methods. - Lei Kou, Chuang Liu, Guowei Cai, Zhe Zhang, Jia-Ning Zhou, Xue-Mei Wang:
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features. - Zhenyao He, Wei Xu, Hong Shen, Derrick Wing Kwan Ng, Yonina C. Eldar, Xiaohu You:
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization. - Weida Wang:
Survey on Source-coding technique. - Juni Kim, Zhikang Dong, Eric Guan, Judah Rosenthal, Shi Fu, Miriam Rafailovich, Pawel Polak:
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding. - Federico Sabbatini, Roberta Calegari:
Clustering-Based Approaches for Symbolic Knowledge Extraction. - Guoxia Wang, Zhihua Wu, Xiaomin Fang, Yingfei Xiang, Yiqun Liu, Dianhai Yu, Yanjun Ma:
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism. - Federico Sabbatini, Roberta Calegari:
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper. - Tomokatsu Takahashi, Masanori Yamada, Yuki Yamanaka, Tomoya Yamashita:
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation. - Tony Tong Wang, Adam Gleave, Nora Belrose, Tom Tseng, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell:
Adversarial Policies Beat Professional-Level Go AIs. - Jiyun Kim, Byounghan Lee, Kyung-Ah Sohn:
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection. - Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. - Riashat Islam, Hongyu Zang, Anirudh Goyal, Alex Lamb, Kenji Kawaguchi, Xin Li, Romain Laroche, Yoshua Bengio, Remi Tachet des Combes:
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning. - Wei Peng, Ziyuan Qin, Yue Hu, Yuqiang Xie, Yunpeng Li:
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation. - James Kotary, Vincenzo Di Vito, Ferdinando Fioretto:
End-to-End Optimization and Learning for Multiagent Ensembles. - Jiashuo Wang, Yi Cheng, Wenjie Li:
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation. - Wei Kang, Daniel M. Tartakovsky, Apoorv Srivastava:
Feature-Informed Data Assimilation - Definitions and Illustrative Examples. - Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. - Yeqing Lin, Jing Liu, Rongen Dong, Xun Chen, Yue Wu, Feng Shu, Jiangzhou Wang:
Two Low-complexity Efficient Beamformers for IRS-aided Directional Modulation Networks. - Jianan Zhou, Jianing Zhu, Jingfeng Zhang, Tongliang Liu, Gang Niu, Bo Han, Masashi Sugiyama:
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks. - Jinyin Chen, Jie Ge, Haibin Zheng:
ActGraph: Prioritization of Test Cases Based on Deep Neural Network Activation Graph. - Jun Zhan, Chengkun Wu, Canqun Yang, Qiucheng Miao, Xiandong Ma:
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection. - Meena Arunachalam, Vrushabh Sanghavi, Yi A. Yao, Yi A Zhou, Lifeng A. Wang, Zongru Wen, Niroop Ammbashankar, Ning W. Wang, Fahim Mohammad:
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors. - Tongkun Guan, Wei Shen:
Self-supervised Character-to-Character Distillation. - Sepideh Mahabadi, Thuy-Duong Vuong:
Composable Coresets for Constrained Determinant Maximization and Beyond. - Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Ziqiang Cao, Sujian Li, Hua Wu:
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness. - Abhilasha Ravichander, Matt Gardner, Ana Marasovic:
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. - Weizhu Bao, Yifei Li:
A structure-preserving parametric finite element method for geometric flows with anisotropic surface energy. - Minjia Shi, Denis S. Krotov, Ferruh Özbudak:
Constructing MRD codes by switching. - Enwei Zhu, Yiyang Liu, Ming Jin, Jinpeng Li:
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges. - Aritra Dhar, Supraja Sridhara, Shweta Shinde, Srdjan Capkun, Renzo Andri:
Empowering Data Centers for Next Generation Trusted Computing. - Masud An Nur Islam Fahim, Jani Boutellier:
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization. - Youfang Han, Chunping Li:
Entity Matching by Pool-based Active Learning. - Yanyan Huang, Yong Wang, Kun Shi, Chaojie Gu, Yu Fu, Cheng Zhuo, Zhiguo Shi:
HDNet: Hierarchical Dynamic Network for Gait Recognition using Millimeter-Wave Radar. - Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Ashkan Javaherian:
Hessian-inversion-free ray-born inversion for high-resolution quantitative ultrasound tomography. - Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. - Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. - Jinghe Wang, Wankai Tang, Jing Cheng Liang, Lei Zhang, Jun Yan Dai, Xiao Li, Shi Jin, Qiang Cheng, Tie Jun Cui:
Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation. - Chuan-gang Kang:
The standard forms of the Kaczmarz-Tanabe type methods and their convergence theory. - Ben Kenwright:
Real-Time Character Inverse Kinematics using the Gauss-Seidel Iterative Approximation Method. - Kamran Ali Khan Niazi, Marta Victoria:
Comparative analysis of PV configurations for agrivoltaic systems in Europe. - Taichi Inoue, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa:
Computational Power of a Single Oblivious Mobile Agent in Two-Edge-Connected Graphs. - Alexandra Vioni, Georgia Maniati, Nikolaos Ellinas, June Sig Sung, Inchul Hwang, Aimilios Chalamandaris, Pirros Tsiakoulis:
Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features. - Seyedali Tabaeiaghdaei, Simon Scherrer, Adrian Perrig:
Carbon Footprints on Inter-Domain Paths: Uncovering CO2 Tracks on Global Networks. - Christian Schlauch, Nadja Klein, Christian Wirth:
Informed Priors for Knowledge Integration in Trajectory Prediction. - Haiming Yao, Xue Wang, Wenyong Yu:
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector. - Akanksha Saran, Kush Desai, Mai Lee Chang, Rudolf Lioutikov, Andrea Thomaz, Scott Niekum:
Understanding Acoustic Patterns of Human Teachers Demonstrating Manipulation Tasks to Robots. - Ayse Yilmazer-Metin:
sRSP: GPUlarda Asimetrik Senkronizasyon Icin Yeni Olceklenebilir Bir Cozum. - Zheng Li, Austen Rainer:
Academic Search Engines: Constraints, Bugs, and Recommendation. - Ekaterina Shumitskaya, Anastasia Antsiferova, Dmitriy S. Vatolin:
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics. - Sushmitha Shree S, Avijit Mandal, Avhishek Chatterjee, Krishna P. Jagannathan:
Towards Maximizing Nonlinear Delay Sensitive Rewards in Queuing Systems. - Daniel Gilo, Shaul Markovitch:
Anytime Generation of Counterfactual Explanations for Text Classification. - Prabhant Singh, Joaquin Vanschoren:
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport. - Zheng Li, Nicolás Saldías-Vallejos, María Andrea Rodríguez, Austen Rainer:
On Kubernetes-aided Federated Database Systems. - Samer Fatayri, Kirill Serykh, Egor Gumin:
What drives a goalkeepers' decisions? - Konstantinos Markopoulos, Georgia Maniati, Georgios Vamvoukakis, Nikolaos Ellinas, Karolos Nikitaras, Konstantinos Klapsas, Georgios Vardaxoglou, Panos Kakoulidis, June Sig Sung, Inchul Hwang, Aimilios Chalamandaris, Pirros Tsiakoulis, Spyros Raptis:
Generating Gender-Ambiguous Text-to-Speech Voices. - Prabhant Singh, Joaquin Vanschoren:
Automated Imbalanced Learning. - Elise Deen, Leo van Iersel, Remie Janssen, Mark Jones, Yuki Murakami, Norbert Zeh:
A Near-Linear Kernel for Two-Parsimony Distance. - Maliheh Izadi, Pooya Rostami Mazrae, Tom Mens, Arie van Deursen:
LinkFormer: Automatic Contextualised Link Recovery of Software Artifacts in both Project-based and Transfer Learning Settings. - Jeonghyun Kim, Kaichun Mo, Minhyuk Sung, Woontack Woo:
Seg&Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing. - Kostadin Cvejoski, Ramsés J. Sánchez, César Ojeda:
The future is different: Large pre-trained language models fail in prediction tasks. - Jianwu Fang, Fan Wang, Peining Shen, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. - Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
Reasoning on Property Graphs with Graph Generating Dependencies. - Alexey Mironov, Ilnur Khuziev:
Optimization of Oblivious Decision Tree Ensembles Evaluation for CPU. - Andrea Pilzer, Yuxin Hou, Niki Andreas Lopi, Arno Solin, Juho Kannala:
Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Hamid Amiriara:
Comprehensive Study on Railway Communications Systems to Support Hyperloop. - Lubomir T. Dechevsky, Kristoffer M. Tangrand:
Wavelet Neural Networks versus Wavelet-based Neural Networks. - Mengdie Wang, Liyuan Shang, Suyun Zhao, Yiming Wang, Hong Chen, Cuiping Li, Xizhao Wang:
Oracle-guided Contrastive Clustering. - Hugo Alcaraz-Herrera, John Cartlidge:
Using coevolution and substitution of the fittest for health and well-being recommender systems. - Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo:
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance. - Noushin Raeisi Kheirabadi, Alessandro Chiolerio, Neil Phillips, Andrew Adamatzky:
Learning in colloids: Synapse-like ZnO + DMSO colloid. - Zhicheng Wang, Tianyu Shi, Liyin Xiao, Cong Liu:
Order-sensitive Neural Constituency Parsing. - Xiaoqiong Ran, Rong Luo:
Two classes of subfield codes of linear codes. - Dou Hu, Xiaolong Hou, Xiyang Du, Mengyuan Zhou, Lianxin Jiang, Yang Mo, Xiaofeng Shi:
VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding. - Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha:
Zero Day Threat Detection Using Metric Learning Autoencoders. - Juan Jesus Ojeda-Castelo, Jose A. Piedra-Fernández, Luis Iribarne:
A device-interaction model for users with special needs. - Hasna Nhaila, Elkebir Sarhrouni, Ahmed Hammouch:
A new filter for dimensionality reduction and classification of hyperspectral images using GLCM features and mutual information. - Youngjoon Jang, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, Joon Son Chung, In So Kweon:
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition. - Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. - Michael G. Xevgenis, Dimitrios Kogias, Ioannis Christidis, Charalampos Z. Patrikakis, Helen C. Leligou:
Evaluation of a blockchain-enabled resource management mechanism for NGNs. - Guillaume Bellegarda, Auke Jan Ijspeert:
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion. - Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang:
Amplifying Membership Exposure via Data Poisoning. - Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. - Nikolaos Louloudakis, Perry Gibson, José Cano, Ajitha Rajan:
Exploring Effects of Computational Parameter Changes to Image Recognition Systems. - Julius von Kügelgen, Abdirisak Mohamed, Sander Beckers:
Backtracking Counterfactuals. - Stephanie Stacy, Alfredo Gabaldon, John Karigiannis, James Kubricht, Peter Tu:
Understanding the Unforeseen via the Intentional Stance. - Taeuk Kim:
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models. - Yulan Gao, Yue Xiao, Xianfu Lei, Qiaonan Zhu, Dusit Niyato, Kai-Kit Wong, Pingzhi Fan, Rose Qingyang Hu:
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles. - Yulan Gao, Ziqiang Ye, Han Yu, Zehui Xiong, Yue Xiao, Dusit Niyato:
Multi-Resource Allocation for On-Device Distributed Federated Learning Systems. - Hongrui Jin:
From Information to Affirmation: An Investigation on the Echo Chamber Effect from YouTube Comments under Technology Product Reviews. - Robert R. Tucci:
Causal DAG extraction from a library of books or videos/movies. - Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin:
Efficient Graph Neural Network Inference at Large Scale. - Marco Comunità, Christian J. Steinmetz, Huy Phan, Joshua D. Reiss:
Modelling black-box audio effects with time-varying feature modulation. - Raysa M. Benatti, Camila M. L. Villarroel, Sandra Avila, Esther Luna Colombini, Fabiana C. Severi:
Should I disclose my dataset? Caveats between reproducibility and individual data rights. - Fabio Nobile, Tommaso Vanzan:
A combination technique for optimal control problems constrained by random PDEs. - Alireza Sheikh, Jac Romme, Jochem Govers, Amirashkan Farsaei, Christian Bachmann:
Phase-based Ranging in Narrowband Systems with Missing/Interfered Tones. - Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren:
Self-Supervised Intensity-Event Stereo Matching. - Keisuke Toyama, Katsuhito Sudoh, Satoshi Nakamura:
E2E Refined Dataset. - Hongguang Sun, Yajun Ma, Tony Q. S. Quek, Xijun Wang, Kun Guo, Hongming Zhang:
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis. - Hamza El-Kebir, Junren Ran, Martin Ostoja-Starzewski, Richard Berlin, Joseph Bentsman, Leonardo P. Chamorro:
Infinite-Dimensional Adaptive Boundary Observer for Inner-Domain Temperature Estimation of 3D Electrosurgical Processes using Surface Thermography Sensing. - Yanran Guan, Andrei Chubarau, Ruby Rao, Derek Nowrouzezahrai:
Learning Neural Implicit Representations with Surface Signal Parameterizations. - Xingchen Song, Di Wu, Zhiyong Wu, Binbin Zhang, Yuekai Zhang, Zhendong Peng, Wenpeng Li, Fuping Pan, Changbao Zhu:
TrimTail: Low-Latency Streaming ASR with Simple but Effective Spectrogram-Level Length Penalty. - Karolos Nikitaras, Konstantinos Klapsas, Nikolaos Ellinas, Georgia Maniati, June Sig Sung, Inchul Hwang, Spyros Raptis, Aimilios Chalamandaris, Pirros Tsiakoulis:
Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis. - Junhao Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie:
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. - Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li:
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. - Xinmeng Huang, Kun Yuan:
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks. - Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis:
Deep Learning for Global Wildfire Forecasting. - Erixhen Sula, Lizhong Zheng:
On the Semi-supervised Expectation Maximization. - Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel, Heinrich Küttler, Naila Murray:
Dungeons and Data: A Large-Scale NetHack Dataset. - João Marques-Silva:
Logic-Based Explainability in Machine Learning. - Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai, Martin Werner, Matthias Häberle, Eike Jens Hoffmann, Hannes Taubenböck, Devis Tuia, Alex Levering, Nathan Jacobs, Anna M. Kruspe, Karam Abdulahhad:
Geo-Information Harvesting from Social Media Data. - José Vargas Quiros, Laura Cabrera Quiros, Hayley Hung:
No-audio speaking status detection in crowded settings via visual pose-based filtering and wearable acceleration. - Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin:
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs. - John Paul P. Miranda, Julieta M. Umali, Aileen P. de Leon:
Datasets of Fire and Crime Incidents in Pampanga, Philippines. - (Withdrawn) True Concurrency Can Be Easy.
- Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. - Francesco Giuliari, Geri Skenderi, Marco Cristani, Alessio Del Bue, Yiming Wang:
Leveraging commonsense for object localisation in partial scenes. - Ashish Tiwari, Sresth Tosniwal, Shanmuganathan Raman:
Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces. - Edward W. He, Daniel Tolessa, Ashley Suh, Remco Chang:
Analysis Without Data: Teaching Students to Tackle the VAST Challenge. - Chanakya Ekbote, Moksh Jain, Payel Das, Yoshua Bengio:
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions. - Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. - Subhyal Bin Iqbal, Salman Nadaf, Ahmad Awada, Umur Karabulut, Philipp Schulz, Gerhard P. Fettweis:
On the Analysis and Optimization of Fast Conditional Handover with Hand Blockage for Mobility. - David Nukrai, Ron Mokady, Amir Globerson:
Text-Only Training for Image Captioning using Noise-Injected CLIP. - Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone:
Event Tables for Efficient Experience Replay. - Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus:
ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US. - Chan-Jan Hsu, Ho-Lam Chung, Hung-yi Lee, Yu Tsao:
T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5. - Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand:
Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. - Kevin Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, Jacob Steinhardt:
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small. - Ernesto Gomez, Keith E. Schubert, Khalil Dajani:
Algebra of N-event synchronization. - Byunghyun Ban:
Mixed Reality Interface for Digital Twin of Plant Factory. - Armin Salimi-Badr:
UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification. - Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari, Giovanni Franzese, Leandro de Souza Rosa, Ravi Prakash, Zlatan Ajanovic, Marta Ferraz, Abhinav Valada, Jens Kober:
Interactive Imitation Learning in Robotics: A Survey. - Ayal Schwartz, Sharon Gannot, Shlomo E. Chazan:
Magnitude or Phase? A Two Stage Algorithm for Dereverberation. - Taha Entesari, Sina Sharifi, Mahyar Fazlyab:
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds. - Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski:
A Simple, Yet Effective Approach to Finding Biases in Code Generation. - Prasanna Sriganesh, Namya Bagree, Bhaskar Vundurthy, Matthew Travers:
Fast Staircase Detection and Estimation using 3D Point Clouds with Multi-detection Merging for Heterogeneous Robots. - Junde Wu, Huihui Fang, Yu Zhang, Yehui Yang, Yanwu Xu:
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model. - Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett:
Natural Language Deduction with Incomplete Information. - Fengjiao Liu, George Rapakoulias, Panagiotis Tsiotras:
Optimal Covariance Steering for Discrete-Time Linear Stochastic Systems. - Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. - Lars Hummelgren, John Wikman, Oscar Eriksson, Philipp Haller, David Broman:
Expression Acceleration: Seamless Parallelization of Typed High-Level Languages. - Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar:
Composite Feature Selection using Deep Ensembles. - Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar:
Preserving In-Context Learning ability in Large Language Model Fine-tuning. - Alexander C. Nwala, Alessandro Flammini, Filippo Menczer:
A General Language for Modeling Social Media Account Behavior. - Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar:
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification. - Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou:
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. - Nandar Hlaing, Pablo G. Morato, Francisco de Nolasco Santos, Wout Weijtjens, Christof Devriendt, Philippe Rigo:
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks. - Anvesh Rao Vijjini, Faeze Brahman, Snigdha Chaturvedi:
Towards Inter-character Relationship-driven Story Generation. - Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On the detection of synthetic images generated by diffusion models. - Cody Blakeney, Jessica Zosa Forde, Jonathan Frankle, Ziliang Zong, Matthew L. Leavitt:
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation. - Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li:
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tags. - Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva:
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. - Zhixin Feng, Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. - Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao:
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. - Matteo Croci, Judit Muñoz-Matute:
Exploiting Kronecker structure in exponential integrators: fast approximation of the action of φ-functions of matrices via quadrature. - Sandra May, Ferdinand Thein:
Explicit-Implicit Domain Splitting for Two Phase Flows with Phase Transition. - Alexander Braun, Thomas Kesselheim:
Simplified Prophet Inequalities for Combinatorial Auctions. - Mark J. Panaggio, Mike Fang, Hyunseung Bang, Paige A. Armstrong, Alison M. Binder, Julian E. Grass, Jake Magid, Marc Papazian, Carrie K. Shapiro-Mendoza, Sharyn E. Parks:
Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. - Anran Hao, Siu Cheung Hui, Jian Su:
Semantic Pivoting Model for Effective Event Detection. - Sylvain Guillemot:
Alternative polynomial-time algorithm for Bipartite Matching. - Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas:
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations. - Yuhao Jiang, Fuchen Chen, Daniel M. Aukes:
Tunable Dynamic Walking via Soft Twisted Beam Vibration. - Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao:
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian. - Bartlomiej Przybylski, Maciej Pawlik, Pawel Zuk, Bartlomiej Lagosz, Maciej Malawski, Krzysztof Rzadca:
Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk. - Jomin Jose, Andrew J, Kumudha Raimond, Shweta Vincent:
SleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention. - Connor Kenyon, Collin D. Capano:
Apple Silicon Performance in Scientific Computing. - Brandon Yushan Feng, Susmija Jabbireddy, Amitabh Varshney:
VIINTER: View Interpolation with Implicit Neural Representations of Images. - Qiaoqiao Ren, Tony Belpaeme:
Tactile interaction with a robot leads to increased risk-taking. - Moseli Mots'oehli, Anna Sergeevna Bosman, Johan Pieter de Villiers:
Comparision Of Adversarial And Non-Adversarial LSTM Music Generative Models. - Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin:
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia. - Syed Ali John Naqvi, Syed Bazil Ali:
State-of-the-art Models for Object Detection in Various Fields of Application. - Jimmy Lin:
On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning. - Vivek Khimani, Shahin Jabbari:
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments. - Teo Susnjak, Paula Maddigan:
Forecasting Patient Flows with Pandemic Induced Concept Drift using Explainable Machine Learning. - Alexander Slesarev, Mikhail Mikhailov, George A. Chernishev:
Benchmarking Hashing Algorithms for Load Balancing in a Distributed Database Environment. - Jyoti Kini, Ajmal Mian, Mubarak Shah:
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds. - Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. - Artem Lykov, Aleksey Fedoseev, Dzmitry Tsetserukou:
DeltaFinger: a 3-DoF Wearable Haptic Display Enabling High-Fidelity Force Vector Presentation at a User Finger. - Holger Boche, Yannik N. Böck, Christian Deppe, Frank H. P. Fitzek:
Neuromorphic Twins for Networked Control and Decision-Making. - Georgiana Caltais, Can Olmezoglu:
Counterfactual Causality in Networks. - Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh:
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. - Zheng Chen, Erik G. Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky:
Over-the-Air Computation for Distributed Systems: Something Old and Something New. - Anuj Diwan, Layne Berry, Eunsol Choi, David Harwath, Kyle Mahowald:
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality. - Yaoguang Zhai, Sicun Gao:
Monte Carlo Tree Descent for Black-Box Optimization. - Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman:
Reinforcement Learning in Education: A Multi-Armed Bandit Approach. - Andrew Rowley, Oktay Karakus:
Measuring Air Quality via Multimodal AI and Satellite Imagery. - Carlos Pinzón, Santiago Quintero, Sergio Ramírez, Camilo Rueda, Frank Valencia:
Counting and Computing Join-Endomorphisms in Lattices (Revisited). - Haris Mansoor, Sarwan Ali, Shafiq Alam, Muhammad Asad Khan, Umair ul Hassan, Imdadullah Khan:
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. - Shaan Bijwadia, Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Yanzhang He:
Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. - Sen Lin, Li Yang, Deliang Fan, Junshan Zhang:
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. - José Vargas Quiros, Laura Cabrera Quiros, Catharine Oertel, Hayley Hung:
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild. - Adway Patra, Alexander Barg:
Node repair on connected graphs, Part II. - Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig, Ju Sun:
Practical Phase Retrieval Using Double Deep Image Priors. - Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden K. Petersen, Daniel M. Faissol, Robert W. Anderson:
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement. - Chenlin Meng, Kristy Choi, Jiaming Song, Stefano Ermon:
Concrete Score Matching: Generalized Score Matching for Discrete Data. - Nasser M. Abbasi:
Analysis and object oriented implementation of the Kovacic algorithm. - Guillaume Huguet, Alexander Tong, María Ramos Zapatero, Guy Wolf, Smita Krishnaswamy:
Geodesic Sinkhorn: optimal transport for high-dimensional datasets. - Hamid Hosseinianfar, Hami Rabbani, Maïté Brandt-Pearce:
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network. - Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. - Zhengyang Chen, Bing Han, Xu Xiang, Houjun Huang, Bei Liu, Yanmin Qian:
Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022. - Gang Qiao, Kaidong Hu, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic:
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction. - Yihong Dong, Ge Li, Zhi Jin:
CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. - Sergio González, Wan-Ting Hsieh, Davide Burba, Trista Pei-Chun Chen, Chun-Li Wang, Victor Chien-Chia Wu, Shang-Hung Chang:
Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram. - Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Xiang Li, Miao He, Haibo Luo, Huiyuan Yang, Jiajie Xiao:
TSAA: A Two-Stage Anchor Assignment Method towards Anchor Drift in Crowded Object Detection. - Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid:
Synthesizing Programs with Continuous Optimization. - Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng:
Exploiting Spatial-temporal Correlations for Video Anomaly Detection. - Yunling Shi, Jie Guan, Junfeng Xiao, Huai Zhang, Qiang Guo, Yu Yuan:
Internet Of Rights(IOR) In Role Based Block Chain. - Mohammed Y. Abdelsadek, Gunes Karabulut-Kurt, Halim Yanikomeroglu:
Distributed Massive MIMO for LEO Satellite Networks. - Yixuan Pei, Zhiwu Qing, Jun Cen, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian:
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning. - Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity. - Joseph John, Josh Milthorpe, Peter Strazdins:
Distributed Work Stealing in a Task-Based Dataflow Runtime. - Haoze He, Parijat Dube:
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning. - Jianwu Fang, Chen Zhu, Pu Zhang, Hongkai Yu, Jianru Xue:
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning. - Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang:
P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. - Dianming Hou, Lili Ju, Zhonghua Qiao:
A linear second-order maximum bound principle-preserving BDF scheme for the Allen-Cahn equation with general mobility. - Dan Berrebbi, Ronan Collobert, Navdeep Jaitly, Tatiana Likhomanenko:
More Speaking or More Speakers? - Jie Bai, Xin Fang, Jianwu Fang, Jianru Xue, Changwei Yuan:
Deep Virtual-to-Real Distillation for Pedestrian Crossing Prediction. - Huaibo Zhao, Shinya Fujie, Tetsuji Ogawa, Jin Sakuma, Yusuke Kida, Tetsunori Kobayashi:
Conversation-oriented ASR with multi-look-ahead CBS architecture. - Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark. - Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche:
Behavior Prior Representation learning for Offline Reinforcement Learning. - Arka Daw, Kyongmin Yeo, Anuj Karpatne, Levente J. Klein:
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring. - Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang:
tSF: Transformer-based Semantic Filter for Few-Shot Learning. - Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou:
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset. - Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi, Ayse Basar:
ADPTriage: Approximate Dynamic Programming for Bug Triage. - Zhifeng Tang, Zhuo Sun, Nan Yang, Xiangyun Zhou:
Age of Information of Multi-user Mobile Edge Computing Systems. - Haris Aziz, Jeremy Lindsay, Angus Ritossa, Mashbat Suzuki:
Fair Allocation of Two Types of Chores. - Chee-Wei Tan, Pei-Duo Yu, Siya Chen, H. Vincent Poor:
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks. - Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. - Thakare Kamalakar Vijay, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim:
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. - Rohun Agrawal, Oscar Leong:
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval. - Haoze He, Parijat Dube:
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches. - Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang:
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. - Reza Dastbasteh, Petr Lisonek:
New quantum codes from self-dual codes over F_4. - Wangtao Lu, Liwei Xu, Tao Yin, Lu Zhang:
A highly accurate perfectly-matched-layer boundary integral equation solver for acoustic layered-medium problems. - Huan Qing:
Community detection in overlapping weighted networks. - Jongho Choi, Kyogu Lee:
Pop2Piano : Pop Audio-based Piano Cover Generation. - Reza Dastbasteh, Petr Lisonek:
On the equivalence of linear cyclic and constacyclic codes. - Hiroki Kanagawa, Yusuke Ijima:
SIMD-size aware weight regularization for fast neural vocoding on CPU. - Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou:
A survey on the development status and application prospects of knowledge graph in smart grids. - Siqi Bao, Huang He, Jun Xu, Hua Lu, Fan Wang, Hua Wu, Han Zhou, Wenquan Wu, Zheng-Yu Niu, Haifeng Wang:
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation. - Huan Qing:
Bipartite Mixed Membership Distribution-Free Model. A novel model for community detection in overlapping bipartite weighted networks. - Shanqing Yu, Yijun Wu, Ran Gan, Jiajun Zhou, Ziwan Zheng, Qi Xuan:
Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. - Shujian Zhang, Chengyue Gong, Xingchao Liu:
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. - Tianqi Zhang, Tong Shen, Kai Yuan, Kaiwen Xue, Huihuan Qian:
A Novel Autonomous Robotics System for Aquaculture Environment Monitoring. - Justin Presley, Xi Wang, Tym Brandel, Xusheng Ai, Proyash Podder, Tianyuan Yu, Varun Patil, Lixia Zhang, Alex Afanasyev, F. Alex Feltus, Susmit Shannigrahi:
Hydra - A Federated Data Repository over NDN. - Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein, Sebastian Gehrmann:
Dialect-robust Evaluation of Generated Text. - Yassine El Kheir, Shammur Absar Chowdhury, Hamdy Mubarak, Shazia Afzal, Ahmed Ali:
SpeechBlender: Speech Augmentation Framework for Mispronunciation Data Generation. - Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro:
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory. - Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb:
Neural Active Learning on Heteroskedastic Distributions. - Woo-Ri Ko, Minsu Jang, Jaeyeon Lee, Jaehong Kim:
Nonverbal Social Behavior Generation for Social Robots Using End-to-End Learning. - Suncheng Xiang, Hao Chen, Jingsheng Gao, Sijia Du, Jiawang Mou, Ting Liu, Dahong Qian, Yuzhuo Fu:
Deep Multimodal Fusion for Generalizable Person Re-identification. - Ke Yang, Sixian Wang, Jincheng Dai, Kailin Tan, Kai Niu, Ping Zhang:
WITT: A Wireless Image Transmission Transformer for Semantic Communications. - Chengdong Liang, Xiao-Lei Zhang, Binbin Zhang, Di Wu, Shengqiang Li, Xingchen Song, Zhendong Peng, Fuping Pan:
Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames. - Yao Feng, Yuhong Jiang, Hang Su, Dong Yan, Jun Zhu:
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network. - Xinkuang Wang, Wenjing Li, Zhongcheng Wu:
CarDD: A New Dataset for Vision-based Car Damage Detection. - Erin C. Carson, Jörg Liesen, Zdenek Strakos:
70 years of Krylov subspace methods: The journey continues. - Myung-Hwan Jeon, Jeongyun Kim, Jee-Hwan Ryu, Ayoung Kim:
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot Manipulation. - Wei Song, Yanghao Yue, Ya-Jie Zhang, Zhengchen Zhang, Youzheng Wu, Xiaodong He:
Multi-Speaker Multi-Style Speech Synthesis with Timbre and Style Disentanglement. - Rao Ma, Xiaobo Wu, Jin Qiu, Yanan Qin, Haihua Xu, Peihao Wu, Zejun Ma:
Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation. - Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. - Thomas Vigouroux, Cristian Ene, David Monniaux, Laurent Mounier, Marie-Laure Potet:
BAXMC: a CEGAR approach to Max\#SAT. - Dimitris Mamakas, Petros Tsotsi, Ion Androutsopoulos, Ilias Chalkidis:
Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer. - Yanhao Wang, Yuchen Li, Francesco Bonchi, Ying Wang:
Balancing Utility and Fairness in Submodular Maximization (Technical Report). - Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (Corrected Version). - Aarón López-García:
SpectroMap: Peak detection algorithm for audio fingerprinting. - Leonardo Boledi, Fabian Key, Benjamin Terschanski, Stefanie Elgeti, Julia Kowalski:
A scale-coupled numerical method for transient close-contact melting. - Jiaqiang Zhang, Farhad Keramat, Xianjia Yu, Daniel Montero Hernández, Jorge Peña Queralta, Tomi Westerlund:
Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness. - Louis Airale, Xavier Alameda-Pineda, Stéphane Lathuilière, Dominique Vaufreydaz:
Autoregressive GAN for Semantic Unconditional Head Motion Generation. - Ali Golmakani, Mostafa Sadeghi, Romain Serizel:
Audio-visual speech enhancement with a deep Kalman filter generative model. - Suhas Shrinivasan, Simon Razniewski:
How Stable is Knowledge Base Knowledge? - Ali Golmakani, Mostafa Sadeghi, Xavier Alameda-Pineda, Romain Serizel:
Weighted variance variational autoencoder for speech enhancement. - Hannaneh Barahouei Pasandi, Asma Haghighat, Azin Moradbeikie, Ahmad Keshavarz, Habib Rostami, Sara Paiva, Sérgio Ivan Lopes:
Low-Cost Traffic Sensing System Based on LoRaWAN for Urban Areas. - Muhammad Fahad, Jérôme Darmont, Cécile Favre:
The Collaborative Business Intelligence Ontology (CBIOnt). - Yingjie Song, Wei Song, Wei Zhang, Zhengchen Zhang, Dan Zeng, Zhi Liu, Yang Yu:
Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation. - Jingfan Yu, Mengqian Zhang, Xi Chen, Zhixuan Fang:
SoK: Play-to-Earn Projects. - Martin Waltz, Ostap Okhrin:
Spatial-temporal recurrent reinforcement learning for autonomous ships. - Stephan Antholzer, Martin Berger, Tobias Hell:
Cluster-Based Autoencoders for Volumetric Point Clouds. - Caterina Senette, Maria Claudia Buzzi, Maria Teresa Paratore:
Self-assess Momentary Mood in Mobile Devices: a Case Study with Mature Female Participants. - Xiuyu Zhang, Minrui Xu, Rui Tan, Dusit Niyato:
Holographic-Type Communication for Digital Twin: A Learning-based Auction Approach. - Marco Sälzer, Eric Alsmann, Florian Bruse, Martin Lange:
Verifying And Interpreting Neural Networks using Finite Automata. - Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie:
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. - Lukasz Debowski:
There Are Fewer Facts Than Words: Communication With A Growing Complexity. - Senthil Kumar Jagatheesaperumal, Quoc-Viet Pham, Rukhsana Ruby, Zhaohui Yang, Chunmei Xu, Zhaoyang Zhang:
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions. - Alessandro Palmas, Pietro Andronico:
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing. - Dániel Horváth, Kristóf Bocsi, Gábor Erdös, Zoltán Istenes:
Sim2Real Grasp Pose Estimation for Adaptive Robotic Applications. - Anikait Singh, Aviral Kumar, Quan Vuong, Yevgen Chebotar, Sergey Levine:
Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints. - Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin:
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. - Dieter van Melkebeek, Andrew Morgan:
Polynomial Identity Testing via Evaluation of Rational Functions. - Ran Tamir:
Joint Correlation Detection and Alignment of Gaussian Databases. - Oleg Sautenkov, Miguel Altamirano Cabrera, Viktor Rakhmatulin, Dzmitry Tsetserukou:
CobotTouch: AR-based Interface with Fingertip-worn Tactile Display for Immersive Operation/Control of Collaborative Robots. - Lean Wang, Lei Li, Xu Sun:
Gradient Knowledge Distillation for Pre-trained Language Models. - Luca Chiaraviglio, Chiara Lodovisi, Stefania Bartoletti, Ahmed Elzanaty, Mohamed-Slim Alouini:
Dominance of Smartphone Exposure in 5G Mobile Networks. - Lester Phillip Violeta, Ding Ma, Wen-Chin Huang, Tomoki Toda:
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition. - Geonuk Kim, Honggyu Jung, Seong-Whan Lee:
Spatial Reasoning for Few-Shot Object Detection. - Gaoyuan Cheng, Jie Xu:
Coordinated Transmit Beamforming for Multi-antenna Network Integrated Sensing and Communication. - Dirren van Vlijmen, Alex Kolmus, Zhuoran Liu, Zhengyu Zhao, Martha A. Larson:
Generative Poisoning Using Random Discriminators. - Kun Song, Yongmao Zhang, Yi Lei, Jian Cong, Hanzhao Li, Lei Xie, Gang He, Jinfeng Bai:
DSPGAN: a GAN-based universal vocoder for high-fidelity TTS by time-frequency domain supervision from DSP. - Jan Svec, Lubos Smídl, Jan Lehecka:
Transformer-based encoder-encoder architecture for Spoken Term Detection. - Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan:
Improving transferability of 3D adversarial attacks with scale and shear transformations. - Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. - Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C.-C. Jay Kuo:
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem. - Nicole Megow, Jens Schlöter:
Set Selection under Explorable Stochastic Uncertainty via Covering Techniques. - Gabriel S. Gama, Nícolas dos Santos Rosa, Valdir Grassi Jr.:
Semantic SuperPoint: A Deep Semantic Descriptor. - Carol Mak, Fabian Zaiser, Luke Ong:
Nonparametric Involutive Markov Chain Monte Carlo. - Kohei Kishida:
Proceedings of the Fourth International Conference on Applied Category Theory, ACT 2021, Cambridge, United Kingdom, 12-16th July 2021. EPTCS 372, 2022 [contents] - Ricardo Jesus Guerrero Barboza, Christoph Lattemann, Simon Michalke, Dominik Siemon:
A digital business ecosystem maturity model for personal service firms. - Novel Certad, Walter Morales-Alvarez, Cristina Olaverri-Monreal:
Road Markings Segmentation from LIDAR Point Clouds using Reflectivity Information. - Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu:
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems. - Robert Dumitru, Daniel Genkin, Andrew Wabnitz, Yuval Yarom:
The Impostor Among US(B): Off-Path Injection Attacks on USB Communications. - Peng Zhang, Ruoyin Xie, Jinsheng Sun, Weiqing Li, Zhiyong Su:
AU-PD: An Arbitrary-size and Uniform Downsampling Framework for Point Clouds. - Amira Guesmi, Ihsen Alouani:
Adversarial Attack on Radar-based Environment Perception Systems. - Enrico Del Re, Cristina Olaverri-Monreal:
Implementation of Road Safety Perception in Autonomous Vehicles in a Lane Change Scenario. - Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters:
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. - Feihu Huang:
Fast Adaptive Federated Bilevel Optimization. - Meifan Zhang, Sixin Lin, Lihua Yin:
Local Differentially Private Frequency Estimation based on Learned Sketches. - Phung Lai, NhatHai Phan, Tong Sun, Rajiv Jain, Franck Dernoncourt, Jiuxiang Gu, Nikolaos Barmpalios:
User-Entity Differential Privacy in Learning Natural Language Models. - Yongzhi Su, Yan Di, Fabian Manhardt, Guangyao Zhai, Jason R. Rambach, Benjamin Busam, Didier Stricker, Federico Tombari:
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection. - Shengling Wang, Lina Shi, Hongwei Shi, Yifang Zhang, Qin Hu, Xiuzhen Cheng:
Proof of User Similarity: the Spatial Measurer of Blockchain. - Yeming Gu, Hui Shu, Fan Hu:
UniASM: Binary Code Similarity Detection without Fine-tuning. - Zheng Li, Mauricio Pradena Miquel, Pedro Pinacho Davidson:
Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges. - Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi:
DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition. - Yakini Tchouka, Jean-François Couchot, David Laiymani:
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents. - Michal Dory, Sebastian Forster, Yasamin Nazari, Tijn de Vos:
New Tradeoffs for Decremental Approximate All-Pairs Shortest Paths. - Nathan Ma:
A Two Step Approach to Weighted Bipartite Link Recommendations. - Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. - Lei Wang, Xu Chen, Quanyu Dai, Zhenhua Dong:
Recommendation with User Active Disclosing Willingness. - Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev:
Entropic Neural Optimal Transport via Diffusion Processes. - Lianghai Xiao, Yixing Zhao, Jiwei Chen:
Advertising strategy for profit-maximization: a novel practice on Tmall's online ads manager platforms. - Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
On-Device Model Fine-Tuning with Label Correction in Recommender Systems. - Jan Tóth, Ondrej Kuzelka:
Lifted Inference with Linear Order Axiom. - Weiyao Wang, Byung-Hak Kim, Varun Ganapathi:
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild. - Mohammad Javad Salehi, Mohammad NaseriTehrani, Antti Tölli:
Multicast Beamformer Design for MIMO Coded Caching Systems. - Simon-Christian Klein, Philipp Öffner:
Entropy conservative high-order fluxes in the presence of boundaries. - Max Sokolich, David P. Rivas, Markos Duey, Daniel Borsykowsky, Sambeeta Das:
ModMag: A Modular Magnetic Micro-Robotic Manipulation Device. - Zhuheng Lu, Peng Zhang, Yuewei Dai, Weiqing Li, Zhiyong Su:
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations. - Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Block-Slot Representations. - Michal Edelstein, Hila Peleg, Shachar Itzhaky, Mirela Ben-Chen:
AmiGo: Computational Design of Amigurumi Crochet Patterns. - Romain Beylerian, Bérangère Colbois, Louis Faucon, Lê Nguyên Hoang, Aidan Jungo, Alain Le Noac'h, Adrien Matissart:
Tournesol: Permissionless Collaborative Algorithmic Governance with Security Guarantees. - Layne Berry, Yi-Jen Shih, Hsuan-Fu Wang, Heng-Jui Chang, Hung-yi Lee, David Harwath:
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval. - Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael B. Abu-Ghazaleh:
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks. - Zhuheng Lu, Yuewei Dai, Weiqing Li, Zhiyong Su:
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds. - Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo:
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. - Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. - Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller:
Web-based Elicitation of Human Perception on mixup Data. - Johannes Voigt, Holger Jäkel, Laurent Schmalen:
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes. - Zhiyong Su, Chao Chu, Long Chen, Yong Li, Weiqing Li:
No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning. - Alperen Kantarci, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Bias-Aware Face Mask Detection Dataset. - Hayoung Seong, Junseon Kim, Won-Yong Shin, Howon Lee:
FiFo: Fishbone Forwarding in Massive IoT Networks. - Jong-whi Lee, Jinhong Jung:
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning. - Pavel Kuriscák, Pedro Rossa, Horácio Fernandes, João Nuno Silva:
Design and implementation of a Framework for remote experiments in education. - Yizhou Zhao, Hua Sun:
MDS Variable Generation and Secure Summation with User Selection. - Ruming Zhang:
Higher order convergence of perfectly matched layers in 3D bi-periodic surface scattering problems. - Felix Kreuk, Yaniv Taigman, Adam Polyak, Jade Copet, Gabriel Synnaeve, Alexandre Défossez, Yossi Adi:
Audio Language Modeling using Perceptually-Guided Discrete Representations. - Douglas A. Creager, Hendrik van Antwerpen:
Stack graphs: Name resolution at scale. - Artem Reshetnikov, Maria-Cristina V. Marinescu, Joaquim Moré López:
DEArt: Dataset of European Art. - Ruming Zhang:
Fast convergence for of perfectly matched layers for scattering with periodic surfaces: the exceptional case. - Giannis Delimpaltadakis, Morteza Lahijanian, Manuel Mazo Jr., Luca Laurenti:
Interval Markov Decision Processes with Continuous Action-Spaces. - Mattie Tesfaldet, Derek Nowrouzezahrai, Christopher Pal:
Attention-based Neural Cellular Automata. - Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti:
A comparison of uncertainty estimation approaches for DNN-based camera localization. - Kosio Beshkov, Jonas Verhellen, Mikkel Elle Lepperød:
Isometric Representations in Neural Networks Improve Robustness. - Alexandre Devillers, Mathieu Lefort:
EquiMod: An Equivariance Module to Improve Self-Supervised Learning. - Leonardo Nagami Coregliano, Fernando Granha Jeronimo, Chris Jones:
Exact Completeness of LP Hierarchies for Linear Codes. - Yi Zhang, Jitao Sang, Junyang Wang:
Fair Visual Recognition via Intervention with Proxy Features. - Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo:
CircleSnake: Instance Segmentation with Circle Representation. - Dingzhu Wen, Xiang Jiao, Peixi Liu, Guangxu Zhu, Yuanming Shi, Kaibin Huang:
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI. - Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, Hammam M. AlGhamdi, Amina Asif, Mark Eastwood, Nasir M. Rajpoot:
An Aggregation of Aggregation Methods in Computational Pathology. - Felix Härer:
Executable Models and Instance Tracking for Decentralized Applications - Towards an Architecture Based on Blockchains and Cloud Platforms. - Tobias Schnabel:
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation. - Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee:
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long:
Knowing the Past to Predict the Future: Reinforcement Virtual Learning. - Yujie Qian, Jinhyuk Lee, Sai Meher Karthik Duddu, Zhuyun Dai, Siddhartha Brahma, Iftekhar Naim, Tao Lei, Vincent Y. Zhao:
Multi-Vector Retrieval as Sparse Alignment. - Shafika Showkat Moni, Deepti Gupta:
Secure and Efficient Privacy-preserving Authentication Scheme using Cuckoo Filter in Remote Patient Monitoring Network. - Valeria Banica, Georg Maierhofer, Katharina Schratz:
Numerical integration of Schrödinger maps via the Hasimoto transform. - Shikhar Murty, Pratyusha Sharma, Jacob Andreas, Christopher D. Manning:
Characterizing Intrinsic Compositionality in Transformers with Tree Projections. - Maciej Eder:
Boosting word frequencies in authorship attribution. - Xiaoyan Li, John Baez, Sophie Libkind, Eric Redekopp, Long Pham, Nathaniel D. Osgood:
An Algebraic Framework for Stock & Flow Diagrams and Dynamical Systems Using Category Theory. - Dimitris Karakostas, Aggelos Kiayias, Christina Ovezik:
SoK: A Stratified Approach to Blockchain Decentralization. - Danni Liu, Jan Niehues:
Learning an Artificial Language for Knowledge-Sharing in Multilingual Translation. - Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu:
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior. - Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He:
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. - Miel Sharf, Bart Besselink, Karl Henrik Johansson:
Contract Composition for Dynamical Control Systems: Definition and Verification using Linear Programming. - Simon Martin Breum, Bojan Kostic, Michael Szell:
Computational Desire Line Analysis of Cyclists on the Dybbølsbro Intersection in Copenhagen. - Shashwat Sourav:
A Bayesian Learning, Greedy agglomerative clustering approach and evaluation techniques for Author Name Disambiguation Problem. - Kai Huang, Mingfei Cheng, Yang Wang, Bochen Wang, Ye Xi, Feigege Wang, Peng Chen:
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation. - Sovan Biswas, Anthony Rhodes, Ramesh Manuvinakurike, Giuseppe Raffa, Richard Beckwith:
Distill and Collect for Semi-Supervised Temporal Action Segmentation. - Shawqi Al-Maliki, Faissal El Bouanani, Mohamed Abdallah, Junaid Qadir, Ala I. Al-Fuqaha:
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts. - Miel Sharf, Daniel Zelazo:
Cluster Assignment in Multi-Agent Systems : Sparsity Bounds and Fault Tolerance. - Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming. - Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, Ming-Yu Liu:
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers. - Konstantinos Klapsas, Karolos Nikitaras, Nikolaos Ellinas, June Sig Sung, Inchul Hwang, Spyros Raptis, Aimilios Chalamandaris, Pirros Tsiakoulis:
Predicting phoneme-level prosody latents using AR and flow-based Prior Networks for expressive speech synthesis. - Jongjin Kim, Hyunsik Jeon, Jaeri Lee, U Kang:
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation. - Barak Or, Itzik Klein:
A Hybrid Adaptive Velocity Aided Navigation Filter with Application to INS/DVL Fusion. - Baadr Suleman M. Alwheepy, Leandros Maglaras, Nick Ayres:
A Health Focused Text Classification Tool (HFTCT). - Jinhyeok Park, Dain Kim, Dongwoo Kim:
Item-based Variational Auto-encoder for Fair Music Recommendation. - Pengtao Zhang, Junlin Zhang:
MemoNet: Memorizing Representations of All Cross Features Efficiently via Multi-Hash Codebook Network for CTR Prediction. - An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. - Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu:
A Transformer-based Framework for POI-level Social Post Geolocation. - Randall Balestriero, Yann LeCun:
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks. - Georgios V. Pitsiladis, Petros S. Stefaneas:
A logical framework to model software development by multiple agents following a common specification. - Zikang Leng, Yash Jain, HyeokHyen Kwon, Thomas Plötz:
Fine-grained Human Activity Recognition Using Virtual On-body Acceleration Data. - Syeda Tanjila Atik, Marco Brocanelli, Daniel Grosu:
Are Turn-by-Turn Navigation Systems of Regular Vehicles Ready for Edge-Assisted Autonomous Vehicles? - Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi:
Detecting Emerging Technologies in Artificial Intelligence Scientific Ecosystem Using an Indicator-based Model. - Md. Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Shashi Bhushan TN:
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop. - Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu:
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. - Mikkel Abrahamsen, Nichlas Langhoff Rasmussen:
Partitioning a Polygon Into Small Pieces. - Umur A. Ciftci, Gokturk Yuksek, Ilke Demir:
My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization. - Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. - Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak:
Two-Stream Network for Sign Language Recognition and Translation. - Benyamin Ghojogh, Smriti Sharma:
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity. - Dongcui Diao, Hengshuai Yao, Bei Jiang:
Class Interference of Deep Neural Networks. - Ilia Sucholutsky, Raja Marjieh, Nori Jacoby, Thomas L. Griffiths:
On the Informativeness of Supervision Signals. - Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He:
CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation. - Arnab Neelim Mazumder, Niall Lyons, Anand Dubey, Ashutosh Pandey, Avik Santra:
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. - Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. - Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie:
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. - Xingzhi Guo, Steven Skiena:
Hierarchies over Vector Space: Orienting Word and Graph Embeddings. - Qin Dai, Benjamin Heinzerling, Kentaro Inui:
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction. - Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller:
Spectral Graph Complexity. - Siyu Liu, Marija Ilic:
Towards Statistical Methods for Minimizing Effects of Failure Cascades. - Pasin Manurangsi:
Improved Inapproximability of VC Dimension and Littlestone's Dimension via (Unbalanced) Biclique. - João Machado de Freitas, Bernhard C. Geiger:
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning. - Swapnil Saha, Hafiz Imtiaz:
Privacy-preserving Non-negative Matrix Factorization with Outliers. - Dacheng Li, Rulin Shao, Hongyi Wang, Han Guo, Eric P. Xing, Hao Zhang:
MPCFormer: fast, performant and private Transformer inference with MPC. - Vishak Prasad C., Colin White, Paarth Jain, Sibasis Nayak, Ganesh Ramakrishnan:
Speeding up NAS with Adaptive Subset Selection. - Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr:
PI is back! Switching Acquisition Functions in Bayesian Optimization. - Brian Yan, Matthew Wiesner, Ondrej Klejch, Preethi Jyothi, Shinji Watanabe:
Towards Zero-Shot Code-Switched Speech Recognition. - Yanyan Shi:
Drift approximation by the modified Boris algorithm of charged-particle dynamics in toroidal geometry. - Ben Kenwright:
Inverse Kinematics with Dual-Quaternions, Exponential-Maps, and Joint Limits. - Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang:
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. - Lawrence Li, Sushant Sachdeva:
A New Approach to Estimating Effective Resistances and Counting Spanning Trees in Expander Graphs. - Quan Vuong, Aviral Kumar, Sergey Levine, Yevgen Chebotar:
Dual Generator Offline Reinforcement Learning. - Ori Roth, Yossi Gil:
Fluent APIs in Functional Languages (full version). - Nicola Peserico, Bhavin J. Shastri, Volker J. Sorger:
Integrated Photonic Tensor Processing Unit for a Matrix Multiply: a Review. - Andrés Aldana, Andrea Falcón-Cortés, Hernán Larralde:
A machine learning model to identify corruption in México's public procurement contracts. - Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski:
Over-communicate no more: Situated RL agents learn concise communication protocols. - Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut:
Physics-inspired machine learning for power grid frequency modelling. - Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson, Marzieh Saeidi:
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. - Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
The Lottery Ticket Hypothesis for Vision Transformers. - Zachary Zhou, Alisha Zachariah, Devin Conathan, Jeffery Kline:
Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis. - Xu Shen, Francesco Borrelli:
Multi-vehicle Conflict Resolution in Highly Constrained Spaces by Merging Optimal Control and Reinforcement Learning. - Alvaro Andres Alvarez Peralta, Priya Desai, Somalee Datta:
A study linking patient EHR data to external death data at Stanford Medicine. - Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking. - Yu Zhang, Mitchell Bucklew:
Max Markov Chain. - Dennis Wei, Rahul Nair, Amit Dhurandhar, Kush R. Varshney, Elizabeth M. Daly, Moninder Singh:
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach. - Ming Zhou, Andrew V. Knyazev, Klaus Neymeyr:
Angle-free cluster robust Ritz value bounds for restarted block eigensolvers. - Wenxuan Zhou, David Held:
Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. - Narges Khakpour, David Parker:
Partially-Observable Security Games for Automating Attack-Defense Analysis. - Andre Wibisono, Kaylee Yingxi Yang:
Convergence in KL Divergence of the Inexact Langevin Algorithm with Application to Score-based Generative Models. - Qiangqiang Huang, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha, John J. Leonard:
Optimizing Fiducial Marker Placement for Improved Visual Localization. - Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Lai, Yingyan Lin:
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing. - Sijia Xiao, Shagun Jhaver, Niloufar Salehi:
Addressing harm in online gaming communities - the opportunities and challenges for a restorative justice approach. - J. Brian Burns, Aravind Sundaresan, Pedro Sequeira, Vidyasagar Sadhu:
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments. - Ruicheng Xian, Lang Yin, Han Zhao:
Fair and Optimal Classification via Transports to Wasserstein-Barycenter. - Juntao Huang, Wei Guo, Yingda Cheng:
Adaptive sparse grid discontinuous Galerkin method: review and software implementation. - Lionel Nganyewou Tidjon, Foutse Khomh:
Reliable Malware Analysis and Detection using Topology Data Analysis. - Hao Xu, Peize Liu, Xinyi Chen, Shaojie Shen:
D2SLAM: Decentralized and Distributed Collaborative Visual-inertial SLAM System for Aerial Swarm. - Lars Lindemann, Xin Qin, Jyotirmoy V. Deshmukh, George J. Pappas:
Conformal Prediction for STL Runtime Verification. - Shuhao Gu, Bojie Hu, Yang Feng:
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions. - Tien-Cuong Bui, Van-Duc Le, Wen-Syan Li, Sang-Kyun Cha:
INGREX: An Interactive Explanation Framework for Graph Neural Networks. - Lei Fu, Huanle Zhang, Ge Gao, Huajie Wang, Mi Zhang, Xin Liu:
Client Selection in Federated Learning: Principles, Challenges, and Opportunities. - Faisal Tareque Shohan, Abu Ubaida Akash, Muhammad Ibrahim, Mohammad Shafiul Alam:
Crime Prediction using Machine Learning with a Novel Crime Dataset. - Ruyuan Wan, Naome A. Etori, Karla A. Badillo-Urquiola, Dongyeop Kang:
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP. - Ruoxi Jiang, Rebecca Willett:
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. - Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding:
Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection. - Yifan Gao, Danni Zhang, Haoyue Li:
The ProfessionAl Go annotation datasEt (PAGE). - Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. - Roshan Thomas Eapen, Ramchander Rao Bhaskara, Manoranjan Majji:
NaRPA: Navigation and Rendering Pipeline for Astronautics. - Ian Osband, Seyed Mohammad Asghari, Benjamin Van Roy, Nat McAleese, John Aslanides, Geoffrey Irving:
Fine-Tuning Language Models via Epistemic Neural Networks. - Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. - Felix Ma Yun, Jordan Nabi, Mitra Hassani:
Resource Allocation in MIMO setup. - Zhutian Yang, Caelan Reed Garrett, Dieter Fox:
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning. - Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction for Event Extraction. - Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty:
Data-free Defense of Black Box Models Against Adversarial Attacks. - Chenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri, Ryan Marcus, Boon Thau Loo:
AdaChain: A Learned Adaptive Blockchain. - Ao Zhang, Fan Yu, Kaixun Huang, Lei Xie, Longbiao Wang, Eng Siong Chng, Hui Bu, Binbin Zhang, Wei Chen, Xin Xu:
The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results. - Yanyang Li, Jianqiao Zhao, Michael R. Lyu, Liwei Wang:
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation. - Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang:
A Convergence Theory for Federated Average: Beyond Smoothness. - Yuan Hu, Zhibin Wang, Zhou Huang, Yu Liu:
PolyBuilding: Polygon Transformer for End-to-End Building Extraction. - Chong Chen, Ying Gao, Leyu Shi, Siquan Huang:
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems. - Siddharth Chandak, Vivek S. Borkar, Parth Dodhia:
Reinforcement Learning in Non-Markovian Environments. - Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty:
Robust Few-shot Learning Without Using any Adversarial Samples. - Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi:
nerf2nerf: Pairwise Registration of Neural Radiance Fields. - Mesut Yang, Micah Carroll, Anca D. Dragan:
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration. - Tian Qin, Alex Beatson, Deniz Oktay, Nick McGreivy, Ryan P. Adams:
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh. - Fatemeh Rajabi-Alni, Alireza Bagheri:
Computing a many-to-many matching with demands and capacities between two sets using the Hungarian algorithm. - Xiuyu Wu, Yunfang Wu:
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction. - Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. - Omkar Ranadive, Jisu Kim, Serin Lee, Youngseo Cha, Heechan Park, Minkook Cho, Young K. Hwang:
Image-based Early Detection System for Wildfires. - Xinzhe Luo, Xiahai Zhuang:
X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing. - Björn Koopmann, Stefan Puch, Günter Ehmen, Martin Fränzle:
Cooperative Maneuvers of Highly Automated Vehicles at Urban Intersections: A Game-theoretic Approach. - Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao:
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. - Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. - Zhicheng Wang, Tianyu Shi, Cong Liu:
Joint Chinese Word Segmentation and Span-based Constituency Parsing. - Meiqin Liu, Shuo Jin, Chao Yao, Chunyu Lin, Yao Zhao:
Temporal Consistency Learning of inter-frames for Video Super-Resolution. - Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin:
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively. - Kai Chen, Stephen James, Congying Sui, Yun-Hui Liu, Pieter Abbeel, Qi Dou:
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS. - Stefano Piani, Luca Heltai, Wenyu Lei:
A Scharfetter-Gummerl stabilization scheme for HDG approximations of convection-diffusion problems. - Emily R. Jefferson, James Liley, Maeve Malone, Smarti Reel, Alba Crespi-Boixader, Xaroula Kerasidou, Francesco Tava, Andrew McCarthy, Richard Preen, Alberto Blanco-Justicia, Esma Mansouri-Benssassi, Josep Domingo-Ferrer, Jillian Beggs, Antony Chuter, Christian Cole, Felix Ritchie, Angela Daly, Simon Rogers, Jim Smith:
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs). - James Smith:
Secret Sharing for Generic Theoretic Cryptography. - Alexandros I. Papadopoulos, Antonios Lalas, Konstantinos Votis, Dimitrios Tyrovolas, George K. Karagiannidis, Sotiris Ioannidis, Christos Liaskos:
An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces. - Naoki Fujita, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Aohan Li, Mikio Hasegawa, Makoto Naruse:
Pairing optimization via statistics: Algebraic structure in pairing problems and its application to performance enhancement. - Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. - Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu:
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. - G. M. Shahariar, Swapnil Biswas, Faiza Omar, Faisal Muhammad Shah, Samiha Binte Hassan:
Spam Review Detection Using Deep Learning. - Wenran Yang, Yong Deng:
Repeatable Random Permutation Set. - Ben Greenman, Sam Saarinen, Tim Nelson, Shriram Krishnamurthi:
Little Tricky Logic: Misconceptions in the Understanding of LTL. - Benjamin Chetioui, Jaakko Järvi, Magne Haveraaen:
Revisiting Language Support for Generic Programming: When Genericity Is a Core Design Goal. - Carlos Rojas Castillo, Matteo Marra, Jim Bauwens, Elisa Gonzalez Boix:
Out-of-Things Debugging: A Live Debugging Approach for Internet of Things. - Rahul Jain, Georgios Piliouras, Ryann Sim:
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. - Wonseok Hwang, Saehee Eom, Hanuhl Lee, Hai Jin Park, Minjoon Seo:
Data-efficient End-to-end Information Extraction for Statistical Legal Analysis. - Yue Yao, Daniel Goehring, Joerg Reichardt:
An Empirical Bayes Analysis of Vehicle Trajectory Models. - Danish Kashaev, Guido Schäfer:
A Round and Bipartize Approximation Algorithm for Vertex Cover. - Ajinkya Khoche, Maciej K. Wozniak, Daniel Duberg, Patric Jensfelt:
Semantic 3D Grid Maps for Autonomous Driving. - Niels Grüttemeier, Philipp Heinrich Keßler, Christian Komusiewicz, Frank Sommer:
Efficient Branch-and-Bound Algorithms for Finding Triangle-Constrained 2-Clubs. - Ke Sun, Samir M. Perlaza, Alain Jean-Marie:
Zero-Sum Games with Noisy Observations. - Jihyun Mun, Sunhee Kim, Myeong-Ju Kim, Jiwon Ryu, Sejoong Kim, Minhwa Chung:
A speech corpus for chronic kidney disease. - Timothy L. Molloy, Iman Shames:
Minimum-Time Escape from a Circular Region for a Dubins Car. - Alyzia Maria Konsta, Alberto Lluch-Lafuente, Nicola Dragoni:
Trust Management for Internet of Things: A Systematic Literature Review. - Fei Xu, Jianian Xu, Jiabin Chen, Li Chen, Ruitao Shang, Zhi Zhou, Fangming Liu:
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud. - Bohan Tang, Siheng Chen, Xiaowen Dong:
Learning Hypergraphs From Signals With Dual Smoothness Prior. - Kevin Zagalo, Olena Verbytska, Liliana Cucu-Grosjean, Avner Bar-Hen:
Response Times Parametric Estimation of Real-Time Systems. - Zitha Sasindran, Harsha Yelchuri, Supreeth Rao, T. V. Prabhakar:
Hybrid-SD (HSD) : A new hybrid evaluation metric for automatic speech recognition tasks. - Petr A. Golovach, Giannos Stamoulis, Dimitrios M. Thilikos:
Model-Checking for First-Order Logic with Disjoint Paths Predicates in Proper Minor-Closed Graph Classes. - Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar:
Learning Control by Iterative Inversion. - Siddharth Gupta, Manish Kumar, Shreyas Pai:
Distributed Reconfiguration of Spanning Trees. - Ran Ben-Basat, Gil Einziger, Wenchen Han, Bilal Tayh:
SQUID: Faster Analytics via Sampled Quantiles Data-structure. - Emre Ozfatura, Yulin Shao, Amin Ghazanfari, Alberto Perotti, Branislav M. Popovic, Deniz Gündüz:
Feedback is Good, Active Feedback is Better: Block Attention Active Feedback Codes. - Emre Can Acikgoz, Tilek Chubakov, Müge Kural, Gözde Gül Sahin, Deniz Yuret:
Transformers on Multilingual Clause-Level Morphology. - Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse:
Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. - Sandeep Bondalapati:
Task Tree Retrieval for Robotic Cooking. - Filip De Turck:
Methodology for Simulation-based Comparison of Algorithms for Distributed Mutual Exclusion. - Yang Chen, Leyuan Sun, Mehdi Benallegue, Rafael Cisneros, Rohan P. Singh, Kenji Kaneko, Arnaud Tanguy, Guillaume Caron, Kenji Suzuki, Abderrahmane Kheddar, Fumio Kanehiro:
Enhanced Visual Feedback with Decoupled Viewpoint Control in Immersive Humanoid Robot Teleoperation using SLAM. - Pavel Andreev, Nicholas Babaev, Azat Saginbaev, Ivan Shchekotov:
Iterative autoregression: a novel trick to improve your low-latency speech enhancement model. - Yonghui Liu, Xiao Chen, Yue Liu, Pingfan Kong, Tegawendé F. Bissyandé, Jacques Klein, Xiaoyu Sun, Chunyang Chen, John Grundy:
A Comparative Study of Smartphone and Smart TV Apps. - Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi:
Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI. - Elijah S. Lee, Lifeng Zhou, Alejandro Ribeiro, Vijay Kumar:
Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks. - Alexandre d'Aspremont, Cristóbal Guzmán, Clément Lezane:
Optimal Algorithms for Stochastic Complementary Composite Minimization. - Gregor Cerar, Blaz Bertalanic, Carolina Fortuna:
Resource-aware Deep Learning for Wireless Fingerprinting Localization. - Zifeng Wang, Jimeng Sun:
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. - Somayeh Komeylian, Christopher Paolini:
Implementation of the Digital QS-SVM-based Beamformer on an FPGA Platform. - Guangtong Li, L. Siddharth, Jianxi Luo:
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity. - Harsh M. Patel, Shivam Sahni:
Exploring Explainability Methods for Graph Neural Networks. - Yuntao Wang, Zhou Su, Abderrahim Benslimane, Qichao Xu, Minghui Dai, Ruidong Li:
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach. - Hans Zantema:
Complexity of Simon's problem in classical sense. - Andreas Stöckl:
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion. - Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya:
Progressive Transformation Learning For Leveraging Virtual Images in Training. - Xi-Ci Yang, Z. Y. Xie, Xiao-Tao Yang:
Exploring explicit coarse-grained structure in artificial neural networks. - Guang Yang, Manling Li, Jiajie Zhang, Xudong Lin, Shih-Fu Chang, Heng Ji:
Video Event Extraction via Tracking Visual States of Arguments. - Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis:
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks. - Yufei Xu, Jing Zhang, Qiming Zhang, Dacheng Tao:
Rethinking Hierarchies in Pre-trained Plain Vision Transformer. - Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel:
Crosslingual Generalization through Multitask Finetuning. - Lei Yu, Vincent Y. F. Tan:
Common Information, Noise Stability, and Their Extensions. - Rudi Coppola, Andrea Peruffo, Manuel Mazo Jr.:
Data-driven Abstractions for Verification of Deterministic Systems. - Yifei Zhang, Chang Liu, Yu Zhou, Weiping Wang, Qixiang Ye, Xiangyang Ji:
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning. - Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang:
Query-based Instance Discrimination Network for Relational Triple Extraction. - Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni:
DECISIVE Test Methods Handbook: Test Methods for Evaluating sUAS in Subterranean and Constrained Indoor Environments, Version 1.1. - Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani:
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. - Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
BATT: Backdoor Attack with Transformation-based Triggers. - Feisi Fu, Panagiota Kiourti, Wenchao Li:
Dormant Neural Trojans. - Michal Strada, Konrad Kulakowski:
Manipulation of individual judgments in the quantitative pairwise comparisons method. - Gordon H. Y. Li, Christian R. Leefmans, James Williams, Alireza Marandi:
Photonic Elementary Cellular Automata for Simulation of Complex Phenomena. - Sevag Tafnakaji, Hadi Hajieghrary, Quentin Teixeira, Yasemin Bekiroglu:
Benchmarking local motion planners for navigation of mobile manipulators. - Keegan Quigley, Virginia Goodwin, Luis Alvarez, Justin Yao, Yousef Salaman Maclara:
Developing Modular Autonomous Capabilities for sUAS Operations. - Rakshith S, Jayesh Rajkumar Vachhani, Sourabh Vasant Gothe, Rishabh Khurana:
Self Similarity Matrix based CNN Filter Pruning. - David Fernández Llorca, Vicky Charisi, Ronan Hamon, Ignacio Sánchez, Emilia Gómez:
Liability regimes in the age of AI: a use-case driven analysis of the burden of proof. - Carmen Chan-Zheng, Pablo Borja, Jacquelien M. A. Scherpen:
Dead-zone compensation via passivity-based control for a class of mechanical systems. - Ramesh Manuvinakurike, Sovan Biswas, Giuseppe Raffa, Richard Beckwith, Anthony Rhodes, Meng Shi, Gesem Gudino Mejia, Saurav Sahay, Lama Nachman:
Human in the loop approaches in multi-modal conversational task guidance system development. - Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xinlin Liu, Xiangyu Rui, Deyu Meng:
Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation. - Matthew Di Meglio:
Coequalisers under the Lens. 149-163 - Ioannis Mavromatis, Aftab Khan:
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. - Seulbae Kim, Major Liu, Junghwan John Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim:
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing. - Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Max van Haren, Lennart Blanken, Tom Oomen:
Basis Function feedforward for Position-Dependent Systems. - Yue Zhao, Sean Zhang, Leman Akoglu:
Toward Unsupervised Outlier Model Selection. - Jean-Simon Pacaud Lemay:
Jacobians and Gradients for Cartesian Differential Categories. 29-42 - Yubo Zhang, Xingxing Zhang, Xun Wang, Si-qing Chen, Furu Wei:
Latent Prompt Tuning for Text Summarization. - Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski:
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. - Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan:
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. - Jérémie Koenig:
Grounding Game Semantics in Categorical Algebra. 368-383 - Simon Schrodi, Danny Stoll, Binxin Ru, Rhea Sukthanker,