Papers
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.
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Josiah Hanna, Scott Niekum, Peter Stone
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
Chunjiang Zhu, Sabine Storandt, Kam-Yiu Lam et al.
Improved Parallel Algorithms for Density-Based Network Clustering
Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrović
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
Kaiyi Ji, Zhe Wang, Yi Zhou et al.
Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang, Kun Xu, Chao Du et al.
Improving Model Selection by Employing the Test Data
Max Westphal, Werner Brannath
Improving Neural Language Modeling via Adversarial Training
Dilin Wang, Chengyue Gong, Qiang Liu
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
Ritchie Zhao, Yuwei Hu, Jordan Dotzel et al.
Imputing Missing Events in Continuous-Time Event Streams
Hongyuan Mei, Guanghui Qin, Jason Eisner