Papers
Fitting Low-Rank Tensors in Constant Time
Kohei Hayashi, Yuichi Yoshida
On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig, Yoav Goldberg, Chris Dyer
Self-Supervised Intrinsic Image Decomposition
Michael Janner, Jiajun Wu, Tejas D Kulkarni et al.
Adversarial Surrogate Losses for Ordinal Regression
Rizal Fathony, Mohammad Ali Bashiri, Brian Ziebart
A graph-theoretic approach to multitasking
Noga Alon, Daniel Reichman, Igor Shinkar et al.
Minimizing a Submodular Function from Samples
Eric Balkanski, Yaron Singer
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H Macke
Non-Stationary Spectral Kernels
Sami Remes, Markus Heinonen, Samuel Kaski
Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin, Gemma Roig, Tomaso A Poggio
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
Yingce Xia, Fei Tian, Lijun Wu et al.
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong, Shangyu Chen, Sinno Pan
Eigen-Distortions of Hierarchical Representations
Alexander Berardino, Valero Laparra, Johannes Ballé et al.
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky, Sercan Arik, Gregory Diamos et al.
Position-based Multiple-play Bandit Problem with Unknown Position Bias
Junpei Komiyama, Junya Honda, Akiko Takeda
Near Optimal Sketching of Low-Rank Tensor Regression
Xingguo Li, Jarvis Haupt, David Woodruff
A New Alternating Direction Method for Linear Programming
Sinong Wang, Ness Shroff
Hierarchical Methods of Moments
Matteo Ruffini, Guillaume Rabusseau, Borja Balle
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap, Chinmay Hegde
Dynamic-Depth Context Tree Weighting
Joao V Messias, Shimon Whiteson
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang et al.
Linear regression without correspondence
Daniel J. Hsu, Kevin Shi, Xiaorui Sun
Stochastic Approximation for Canonical Correlation Analysis
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy et al.
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi, Mario Lucic, Hamed Hassani et al.
Policy Gradient With Value Function Approximation For Collective Multiagent Planning
Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau