Papers
11,015 papers found
Generative networks as inverse problems with Scattering transforms
Tomás Angles, Stéphane Mallat
Global Optimality Conditions for Deep Neural Networks
Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer et al.
Gradient Estimators for Implicit Models
Yingzhen Li, Richard E. Turner
Graph Attention Networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova et al.
Guide Actor-Critic for Continuous Control
Voot Tangkaratt, Abbas Abdolmaleki, Masashi Sugiyama
HexaConv
Emiel Hoogeboom, Jorn W.T. Peters, Taco S. Cohen et al.
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu, Caiming Xiong, Richard Socher
Hierarchical Density Order Embeddings
Ben Athiwaratkun, Andrew Gordon Wilson
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu, Karen Simonyan, Oriol Vinyals et al.
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
Adam C. Earle, Andrew M. Saxe, Benjamin Rosman
Hyperparameter optimization: a spectral approach
Elad Hazan, Adam Klivans, Yang Yuan
Identifying Analogies Across Domains
Yedid Hoshen, Lior Wolf
Imitation Learning from Visual Data with Multiple Intentions
Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow et al.
Implicit Causal Models for Genome-wide Association Studies
Dustin Tran, David M. Blei
Improving GANs Using Optimal Transport
Tim Salimans, Han Zhang, Alec Radford et al.
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
Yanshuai Cao, Gavin Weiguang Ding, Kry Yik-Chau Lui et al.
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei, Boqing Gong, Zixia Liu et al.
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Da Xiao, Jo-Yu Liao, Xingyuan Yuan
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks
Krzysztof Choromanski, Carlton Downey, Byron Boots
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu, Haichao Zhang, Wei Xu
Interpretable Counting for Visual Question Answering
Alexander Trott, Caiming Xiong, Richard Socher
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov et al.
i-RevNet: Deep Invertible Networks
Jörn-Henrik Jacobsen, Arnold W.M. Smeulders, Edouard Oyallon
Kernel Implicit Variational Inference
Jiaxin Shi, Shengyang Sun, Jun Zhu