Papers
11,015 papers found
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization
Xiuying Wei, Ruihao Gong, Yuhang Li et al.
Quadtree Attention for Vision Transformers
Shitao Tang, Jiahui Zhang, Siyu Zhu et al.
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
Yang Zhao, Hao Zhang
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
Viet Vo, Ehsan M Abbasnejad, Damith Ranasinghe
Query Embedding on Hyper-Relational Knowledge Graphs
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez et al.
R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Yingwei Li, Tiffany Chen, Maya Kabkab et al.
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu, Bang Liu, Keith G. Mills et al.
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
Real-Time Neural Voice Camouflage
Mia Chiquier, Chengzhi Mao, Carl Vondrick
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li et al.
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu et al.
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
Rahul Rade, Seyed-Mohsen Moosavi-Dezfooli
RegionViT: Regional-to-Local Attention for Vision Transformers
Chun-Fu Chen, Rameswar Panda, Quanfu Fan
Regularized Autoencoders for Isometric Representation Learning
Yonghyeon Lee, Sangwoong Yoon, MinJun Son et al.
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
Hang Ren, Aivar Sootla, Taher Jafferjee et al.
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
Zhi Zhang, Zhuoran Yang, Han Liu et al.
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh et al.
Relating transformers to models and neural representations of the hippocampal formation
James C. R. Whittington, Joseph Warren, Tim E.J. Behrens
Relational Learning with Variational Bayes
Kuang-Hung Liu
Relational Multi-Task Learning: Modeling Relations between Data and Tasks
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Surrogate Loss Learning
Tao Huang, Zekang Li, Hua Lu et al.
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Dingfan Chen, Ning Yu, Mario Fritz
Reliable Adversarial Distillation with Unreliable Teachers
Jianing Zhu, Jiangchao Yao, Bo Han et al.
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma, Weili Nie, Zhiding Yu et al.
Representation-Agnostic Shape Fields
Xiaoyang Huang, Jiancheng Yang, Yanjun Wang et al.