Papers
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
Hoda Heidari, Vedant Nanda, Krishna Gummadi
Provably Efficient Maximum Entropy Exploration
Elad Hazan, Sham Kakade, Karan Singh et al.
On the Impact of the Activation function on Deep Neural Networks Training
Soufiane Hayou, Arnaud Doucet, Judith Rousseau
Understanding and Controlling Memory in Recurrent Neural Networks
Doron Haviv, Alexander Rivkind, Omri Barak
Submodular Observation Selection and Information Gathering for Quadratic Models
Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo et al.
Per-Decision Option Discounting
Anna Harutyunyan, Peter Vrancx, Philippe Hamel et al.
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
Chris Harshaw, Moran Feldman, Justin Ward et al.
Random Shuffling Beats SGD after Finite Epochs
Jeff Haochen, Suvrit Sra
Doubly-Competitive Distribution Estimation
Yi Hao, Alon Orlitsky
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Josiah Hanna, Scott Niekum, Peter Stone
Complexity of Linear Regions in Deep Networks
Boris Hanin, David Rolnick
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
Seungyul Han, Youngchul Sung
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Lei Han, Peng Sun, Yali Du et al.
Neural Separation of Observed and Unobserved Distributions
Tavi Halperin, Ariel Ephrat, Yedid Hoshen
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer et al.
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization
Farzin Haddadpour, Mohammad Mahdi Kamani, Mehrdad Mahdavi et al.
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen, Daphna Weinshall
IMEXnet A Forward Stable Deep Neural Network
Eldad Haber, Keegan Lensink, Eran Treister et al.
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Albert Gural, Boris Murmann
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo, Zequn Sun, Wei Hu
Exploring interpretable LSTM neural networks over multi-variable data
Tian Guo, Tao Lin, Nino Antulov-Fantulin
Simple Black-box Adversarial Attacks
Chuan Guo, Jacob Gardner, Yurong You et al.
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
Limor Gultchin, Genevieve Patterson, Nancy Baym et al.
An Investigation of Model-Free Planning
Arthur Guez, Mehdi Mirza, Karol Gregor et al.
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
Chaoyu Guan, Xiting Wang, Quanshi Zhang et al.