Papers
Learning from Group Comparisons: Exploiting Higher Order Interactions
Yao Li, Minhao Cheng, Kevin Fujii et al.
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models
Amir Dezfouli, Richard Morris, Fabio T Ramos et al.
Bilevel Distance Metric Learning for Robust Image Recognition
Jie Xu, Lei Luo, Cheng Deng et al.
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian et al.
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Zi Yin, Vin Sachidananda, Balaji Prabhakar
Distributed Multitask Reinforcement Learning with Quadratic Convergence
Rasul Tutunov, Dongho Kim, Haitham Bou Ammar
Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels
Shahin Shahrampour, Vahid Tarokh
Learning to Teach with Dynamic Loss Functions
Lijun Wu, Fei Tian, Yingce Xia et al.
With Friends Like These, Who Needs Adversaries?
Saumya Jetley, Nicholas Lord, Philip Torr
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen, Eirikur Agustsson, Mario Lucic
Towards Deep Conversational Recommendations
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz et al.
Inequity aversion improves cooperation in intertemporal social dilemmas
Edward Hughes, Joel Z. Leibo, Matthew Phillips et al.
Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
Taylor Mordan, Nicolas THOME, Gilles Henaff et al.
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Zhen Zhang, Mianzhi Wang, Yijian Xiang et al.
Exact natural gradient in deep linear networks and its application to the nonlinear case
Alberto Bernacchia, Mate Lengyel, Guillaume Hennequin
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V Le
Visual Reinforcement Learning with Imagined Goals
Ashvin V Nair, Vitchyr Pong, Murtaza Dalal et al.
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
Andrea Tirinzoni, Marek Petrik, Xiangli Chen et al.
Fully Understanding The Hashing Trick
Casper B. Freksen, Lior Kamma, Kasper Green Larsen
Differentially Private Testing of Identity and Closeness of Discrete Distributions
Jayadev Acharya, Ziteng Sun, Huanyu Zhang
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
Daniel Johnson, Daniel Gorelik, Ross E Mawhorter et al.