Papers
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang, Erik Learned-Miller, Andrew McCallum
f-GANs in an Information Geometric Nutshell
Richard Nock, Zac Cranko, Aditya K Menon et al.
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J Kim et al.
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael Bronstein, Xavier Bresson
Affinity Clustering: Hierarchical Clustering at Scale
Mohammadhossein Bateni, Soheil Behnezhad, Mahsa Derakhshan et al.
Countering Feedback Delays in Multi-Agent Learning
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.
Unsupervised Learning of Disentangled Representations from Video
Emily L Denton, vighnesh Birodkar
Style Transfer from Non-Parallel Text by Cross-Alignment
Tianxiao Shen, Tao Lei, Regina Barzilay et al.
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae, Mathieu Blondel
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li, Jiaming Song, Stefano Ermon
Dynamic Routing Between Capsules
Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton
Sharpness, Restart and Acceleration
Vincent Roulet, Alexandre d'Aspremont
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Liu, Brent Coull
Predictive State Recurrent Neural Networks
Carlton Downey, Ahmed Hefny, Byron Boots et al.
Population Matching Discrepancy and Applications in Deep Learning
Jianfei Chen, Chongxuan LI, Yizhong Ru et al.
Decoding with Value Networks for Neural Machine Translation
Di He, Hanqing Lu, Yingce Xia et al.
A multi-agent reinforcement learning model of common-pool resource appropriation
Julien Pérolat, Joel Z. Leibo, Vinicius Zambaldi et al.
Group Additive Structure Identification for Kernel Nonparametric Regression
Chao Pan, Michael Zhu
Reliable Decision Support using Counterfactual Models
Peter Schulam, Suchi Saria
Lower bounds on the robustness to adversarial perturbations
Jonathan Peck, Joris Roels, Bart Goossens et al.
Experimental Design for Learning Causal Graphs with Latent Variables
Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim
Scalable Generalized Linear Bandits: Online Computation and Hashing
Kwang-Sung Jun, Aniruddha Bhargava, Robert Nowak et al.
Deep Dynamic Poisson Factorization Model
Chengyue Gong, win-bin huang
Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang, Liam Solus, Karren Yang et al.
Reconstruct & Crush Network
Erinc Merdivan, Mohammad Reza Loghmani, Matthieu Geist