Papers
Greedy Layerwise Learning Can Scale To ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
Kai Zhang, Sheng Zhang, Jun Liu et al.
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Lei Han, Peng Sun, Yali Du et al.
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu, Dixin Luo, Hongyuan Zha et al.
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi et al.
Guided evolutionary strategies: augmenting random search with surrogate gradients
Niru Maheswaranathan, Luke Metz, George Tucker et al.
Hessian Aided Policy Gradient
Zebang Shen, Alejandro Ribeiro, Hamed Hassani et al.
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin
Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou
HexaGAN: Generative Adversarial Nets for Real World Classification
Uiwon Hwang, Dahuin Jung, Sungroh Yoon
Hierarchical Decompositional Mixtures of Variational Autoencoders
Ping Liang Tan, Robert Peharz
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang, Kris Sankaran, Eeshan Dhekane et al.
Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei, Junzhou Huang et al.
High-Fidelity Image Generation With Fewer Labels
Mario Lučić, Michael Tschannen, Marvin Ritter et al.
Hiring Under Uncertainty
Manish Purohit, Sreenivas Gollapudi, Manish Raghavan
HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving
Kshitij Bansal, Sarah Loos, Markus Rabe et al.
Homomorphic Sensing
Manolis Tsakiris, Liangzu Peng
How does Disagreement Help Generalization against Label Corruption?
Xingrui Yu, Bo Han, Jiangchao Yao et al.
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
Limor Gultchin, Genevieve Patterson, Nancy Baym et al.
Hybrid Models with Deep and Invertible Features
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh et al.
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Ryota Suzuki, Ryusuke Takahama, Shun Onoda
HyperGAN: A Generative Model for Diverse, Performant Neural Networks
Neale Ratzlaff, Li Fuxin
IMEXnet A Forward Stable Deep Neural Network
Eldad Haber, Keegan Lensink, Eran Treister et al.
Imitating Latent Policies from Observation
Ashley Edwards, Himanshu Sahni, Yannick Schroecker et al.
Imitation Learning from Imperfect Demonstration
Yueh-Hua Wu, Nontawat Charoenphakdee, Han Bao et al.
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin, Nicholas Carlini, Garrison Cottrell et al.