Papers
11,015 papers found
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 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
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.
Abstract Diagrammatic Reasoning with Multiplex Graph Networks
Duo Wang, Mateja Jamnik, Pietro Lio
Accelerating SGD with momentum for over-parameterized learning
Chaoyue Liu, Mikhail Belkin
A Closer Look at Deep Policy Gradients
Andrew Ilyas, Logan Engstrom, Shibani Santurkar et al.
A closer look at the approximation capabilities of neural networks
Kai Fong Ernest Chong
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
Hugo Berard, Gauthier Gidel, Amjad Almahairi et al.
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov et al.
A critical analysis of self-supervision, or what we can learn from a single image
Asano YM., Rupprecht C., Vedaldi A.
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems
Weixun Wang, Tianpei Yang, Yong Liu et al.
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
Zuyue Fu, Zhuoran Yang, Yongxin Chen et al.