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Poster
Thu 18:30 Geometric Losses for Distributional Learning
Arthur Mensch · Mathieu Blondel · Gabriel Peyré
Poster
Wed 18:30 Approximating Orthogonal Matrices with Effective Givens Factorization
Thomas Frerix · Joan Bruna
Oral
Wed 16:35 Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour · Anqi Liu · Brian Ziebart
Poster
Wed 18:30 Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour · Anqi Liu · Brian Ziebart
Oral
Tue 16:25 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise · Dimitrios Stamos · Massimiliano Pontil · Carlo Ciliberto
Poster
Thu 18:30 Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas · James Henderson
Poster
Tue 18:30 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise · Dimitrios Stamos · Massimiliano Pontil · Carlo Ciliberto
Poster
Thu 18:30 Trainable Decoding of Sets of Sequences for Neural Sequence Models
Ashwin Kalyan · Peter Anderson · Stefan Lee · Dhruv Batra
Poster
Thu 18:30 Non-Monotonic Sequential Text Generation
Sean Welleck · Kiante Brantley · Hal Daumé III · Kyunghyun Cho
Poster
Thu 18:30 Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool · Herke van Hoof · Max Welling
Poster
Wed 18:30 Generalized Majorization-Minimization
Sobhan Naderi Parizi · Kun He · Reza Aghajani · Stan Sclaroff · Pedro Felzenszwalb
Poster
Wed 18:30 A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
Jennifer Gillenwater · Alex Kulesza · Zelda Mariet · Sergei Vassilvitskii