Papers
A Game Theoretic Approach to Class-wise Selective Rationalization
Shiyu Chang, Yang Zhang, Mo Yu et al.
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo Mena, Jonathan Niles-Weed
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies
Basri Ronen, David Jacobs, Yoni Kasten et al.
Imitation-Projected Programmatic Reinforcement Learning
Abhinav Verma, Hoang Le, Yisong Yue et al.
Explicitly disentangling image content from translation and rotation with spatial-VAE
Tristan Bepler, Ellen Zhong, Kotaro Kelley et al.
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
Miika Aittala, Prafull Sharma, Lukas Murmann et al.
Multi-mapping Image-to-Image Translation via Learning Disentanglement
Xiaoming Yu, Yuanqi Chen, Shan Liu et al.
Learning about an exponential amount of conditional distributions
Mohamed Belghazi, Maxime Oquab, David Lopez-Paz
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
Nathan Kallus, Masatoshi Uehara
Neural Jump Stochastic Differential Equations
Junteng Jia, Austin R Benson
Global Guarantees for Blind Demodulation with Generative Priors
Paul Hand, Babhru Joshi
Knowledge Extraction with No Observable Data
Jaemin Yoo, Minyong Cho, Taebum Kim et al.
Focused Quantization for Sparse CNNs
Yiren Zhao, Xitong Gao, Daniel Bates et al.
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova, Gauthier Gidel, François Fleuret et al.
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
Clarice Poon, Jingwei Liang
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu, Yuanzhi Li
VIREL: A Variational Inference Framework for Reinforcement Learning
Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner et al.
Exploration via Hindsight Goal Generation
Zhizhou Ren, Kefan Dong, Yuan Zhou et al.
Meta-Curvature
Eunbyung Park, Junier B Oliva
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev, Michael Jensen, Sune Darkner et al.
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Xiangyi Chen, Sijia Liu, Kaidi Xu et al.
Importance Weighted Hierarchical Variational Inference
Artem Sobolev, Dmitry P Vetrov
Point-Voxel CNN for Efficient 3D Deep Learning
Zhijian Liu, Haotian Tang, Yujun Lin et al.