Papers
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Richard Zhang, Cedric Josz, Somayeh Sojoudi et al.
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
Lei Wu, Chao Ma, Weinan E
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin, David Rolnick
Human-in-the-Loop Interpretability Prior
Isaac Lage, Andrew Ross, Samuel J Gershman et al.
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom, Anupam Datta, Matt Fredrikson
Hybrid Knowledge Routed Modules for Large-scale Object Detection
ChenHan Jiang, Hang Xu, Xiaodan Liang et al.
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks
Yingyezhe Jin, Wenrui Zhang, Peng Li
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
JING LI, Rafal Mantiuk, Junle Wang et al.
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Yuan Li, Xiaodan Liang, Zhiting Hu et al.
Hyperbolic Neural Networks
Octavian Ganea, Gary Becigneul, Thomas Hofmann
Identification and Estimation of Causal Effects from Dependent Data
Eli Sherman, Ilya Shpitser
Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang, Xin Tao, Xiaojuan Qi et al.
Image-to-image translation for cross-domain disentanglement
Abel Gonzalez-Garcia, Joost van de Weijer, Yoshua Bengio
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar, Jason Lee, Daniel Soudry et al.
Implicit Probabilistic Integrators for ODEs
Onur Teymur, Han Cheng Lie, Tim Sullivan et al.
Implicit Reparameterization Gradients
Mikhail Figurnov, Shakir Mohamed, Andriy Mnih
Importance Weighting and Variational Inference
Justin Domke, Daniel R. Sheldon
Improved Algorithms for Collaborative PAC Learning
Huy Nguyen, Lydia Zakynthinou
Improved Expressivity Through Dendritic Neural Networks
Xundong Wu, Xiangwen Liu, Wei Li et al.
Improved Network Robustness with Adversary Critic
Alexander Matyasko, Lap-Pui Chau
Improving Explorability in Variational Inference with Annealed Variational Objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste et al.
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al.
Improving Neural Program Synthesis with Inferred Execution Traces
Eui Chul Shin, Illia Polosukhin, Dawn Song