Papers
Multi-View Reinforcement Learning
Minne Li, Lisheng Wu, Jun WANG et al.
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan et al.
Learning Perceptual Inference by Contrasting
Chi Zhang, Baoxiong Jia, Feng Gao et al.
Levenshtein Transformer
Jiatao Gu, Changhan Wang, Junbo Zhao
Hyperparameter Learning via Distributional Transfer
Ho Chung Law, Peilin Zhao, Leung Sing Chan et al.
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov et al.
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Baoxiang Wang, Nidhi Hegde
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels
Simon S Du, Kangcheng Hou, Ruslan Salakhutdinov et al.
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
Yue Wang, Ziyu Jiang, Xiaohan Chen et al.
Are deep ResNets provably better than linear predictors?
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
Xiao Sun, Jungwook Choi, Chia-Yu Chen et al.
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
Shuang Li, Gongguo Tang, Michael B Wakin
Are sample means in multi-armed bandits positively or negatively biased?
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala, Andre Wibisono
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui (Ray) Zhang, Xingwu Liu, Yuyi Wang et al.
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
Sharon Zhou, Mitchell Gordon, Ranjay Krishna et al.
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic
Arash Ardakani, Zhengyun Ji, Amir Ardakani et al.
Efficient characterization of electrically evoked responses for neural interfaces
Nishal Shah, Sasidhar Madugula, Pawel Hottowy et al.
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong et al.
Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi, Michael T Smith, Mauricio Álvarez
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Zongsheng Yue, Hongwei Yong, Qian Zhao et al.
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian, Zhichao Li, Naiyan Wang et al.
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby, Yu-Xiang Wang
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang