Papers
Learning Implicit Generative Models with the Method of Learned Moments
Suman Ravuri, Shakir Mohamed, Mihaela Rosca et al.
Learning Independent Causal Mechanisms
Giambattista Parascandolo, Niki Kilbertus, Mateo Rojas-Carulla et al.
Learning in Integer Latent Variable Models with Nested Automatic Differentiation
Daniel Sheldon, Kevin Winner, Debora Sujono
Learning in Reproducing Kernel Kreı̆n Spaces
Dino Oglic, Thomas Gaertner
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
Ting Chen, Martin Renqiang Min, Yizhou Sun
Learning Localized Spatio-Temporal Models From Streaming Data
Muhammad Osama, Dave Zachariah, Thomas Schön
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Trieu Trinh, Andrew Dai, Thang Luong et al.
Learning Long Term Dependencies via Fourier Recurrent Units
Jiong Zhang, Yibo Lin, Zhao Song et al.
Learning Low-Dimensional Temporal Representations
Bing Su, Ying Wu
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
Asish Ghoshal, Jean Honorio
Learning Memory Access Patterns
Milad Hashemi, Kevin Swersky, Jamie Smith et al.
Learning One Convolutional Layer with Overlapping Patches
Surbhi Goel, Adam Klivans, Raghu Meka
Learning Policy Representations in Multiagent Systems
Aditya Grover, Maruan Al-Shedivat, Jayesh Gupta et al.
Learning Registered Point Processes from Idiosyncratic Observations
Hongteng Xu, Lawrence Carin, Hongyuan Zha
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas et al.
Learning Semantic Representations for Unsupervised Domain Adaptation
Shaoan Xie, Zibin Zheng, Liang Chen et al.
Learning Steady-States of Iterative Algorithms over Graphs
Hanjun Dai, Zornitsa Kozareva, Bo Dai et al.
Learning the Reward Function for a Misspecified Model
Erik Talvitie
Learning to Act in Decentralized Partially Observable MDPs
Jilles Dibangoye, Olivier Buffet
Learning to Branch
Maria-Florina Balcan, Travis Dick, Tuomas Sandholm et al.
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
Eugenio Bargiacchi, Timothy Verstraeten, Diederik Roijers et al.
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen, Le Song, Martin Wainwright et al.
Learning to Explore via Meta-Policy Gradient
Tianbing Xu, Qiang Liu, Liang Zhao et al.
Learning to Optimize Combinatorial Functions
Nir Rosenfeld, Eric Balkanski, Amir Globerson et al.
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren, Wenyuan Zeng, Bin Yang et al.