Papers
11,951 papers found
Wasserstein Embedding for Graph Learning
Soheil Kolouri, Navid Naderializadeh, Gustavo K. Rohde et al.
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig, Tianmin Shu, Shuang Li et al.
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen et al.
What are the Statistical Limits of Offline RL with Linear Function Approximation?
Ruosong Wang, Dean Foster, Sham M. Kakade
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions
Kiana Ehsani, Daniel Gordon, Thomas Hai Dang Nguyen et al.
What Makes Instance Discrimination Good for Transfer Learning?
Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau et al.
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
Marcin Andrychowicz, Anton Raichuk, Piotr Stańczyk et al.
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao, Xiaolong Wang, Alexei A Efros et al.
What they do when in doubt: a study of inductive biases in seq2seq learners
Eugene Kharitonov, Rahma Chaabouni
When Do Curricula Work?
Xiaoxia Wu, Ethan Dyer, Behnam Neyshabur
When does preconditioning help or hurt generalization?
Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse et al.
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
Peisong Wen, Qianqian Xu, Zhiyong Yang et al.
When Optimizing $f$-Divergence is Robust with Label Noise
Jiaheng Wei, Yang Liu
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?
Zhiyuan Li, Yi Zhang, Sanjeev Arora
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients
Jing An, Lexing Ying, Yuhua Zhu
Winner Robustness via Swap- and Shift-Bribery: Parameterized Counting Complexity and Experiments
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski et al.
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon, Sunghoon Hong, Byung-Jun Lee et al.
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping, Liam H Fowl, W. Ronny Huang et al.
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic
Renkun Ni, Hong-min Chu, Oscar Castaneda et al.
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
Jensen Gao, Siddharth Reddy, Glen Berseth et al.
You Only Need Adversarial Supervision for Semantic Image Synthesis
Edgar Schönfeld, Vadim Sushko, Dan Zhang et al.
Zero-Cost Proxies for Lightweight NAS
Mohamed S Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak et al.
Zero-shot Synthesis with Group-Supervised Learning
Yunhao Ge, Sami Abu-El-Haija, Gan Xin et al.
A Baseline for Few-Shot Image Classification
Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran et al.
Abductive Commonsense Reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya et al.