Papers
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang et al.
Learning by Abstraction: The Neural State Machine
Drew Hudson, Christopher D. Manning
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu, Matthew Soh et al.
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco Garcia, Philip S. Thomas
Constrained Reinforcement Learning Has Zero Duality Gap
Santiago Paternain, Luiz Chamon, Miguel Calvo-Fullana et al.
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
Ruoxi Sun, Scott Linderman, Ian Kinsella et al.
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi et al.
Learning Auctions with Robust Incentive Guarantees
Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar et al.
Limitations of Lazy Training of Two-layers Neural Network
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz et al.
Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy, John C. Duchi
Learning low-dimensional state embeddings and metastable clusters from time series data
Yifan Sun, Yaqi Duan, Hao Gong et al.
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
Shahana Ibrahim, Xiao Fu, Nikolaos Kargas et al.
Implicit Regularization in Deep Matrix Factorization
Sanjeev Arora, Nadav Cohen, Wei Hu et al.
Post training 4-bit quantization of convolutional networks for rapid-deployment
Ron Banner, Yury Nahshan, Daniel Soudry
Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal, Ariel D Procaccia, Nisarg Shah et al.
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model
Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin et al.
Cross-lingual Language Model Pretraining
Alexis CONNEAU, Guillaume Lample
ETNet: Error Transition Network for Arbitrary Style Transfer
Chunjin Song, Zhijie Wu, Yang Zhou et al.
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba et al.
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq et al.
Learning to Self-Train for Semi-Supervised Few-Shot Classification
Xinzhe Li, Qianru Sun, Yaoyao Liu et al.
NAT: Neural Architecture Transformer for Accurate and Compact Architectures
Yong Guo, Yin Zheng, Mingkui Tan et al.
Are Labels Required for Improving Adversarial Robustness?
Jean-Baptiste Alayrac, Jonathan Uesato, Po-Sen Huang et al.
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons
Wenbo Ren, Jia (Kevin) Liu, Ness Shroff
Learning to Infer Implicit Surfaces without 3D Supervision
Shichen Liu, Shunsuke Saito, Weikai Chen et al.