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Poster
Tue 7:00 Laplacian Regularized Few-Shot Learning
Imtiaz Ziko · Jose Dolz · Eric Granger · Ismail Ben Ayed
Poster
Tue 9:00 Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nazi · Yujia Li · Bo Dai · Dale Schuurmans
Poster
Tue 10:00 Incremental Sampling Without Replacement for Sequence Models
Kensen Shi · David Bieber · Charles Sutton
Poster
Tue 10:00 Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes · Alessandro Rudi · Francis Bach
Poster
Tue 11:00 Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak · Francis Bach · Alessandro Rudi
Poster
Tue 11:00 Optimization and Analysis of the pAp@k Metric for Recommender Systems
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
Poster
Tue 12:00 Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez · Jonathan Godwin · Tobias Pfaff · Rex (Zhitao) Ying · Jure Leskovec · Peter Battaglia
Poster
Tue 13:00 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Pierre Laforgue · Alex Lambert · Luc Brogat-Motte · Florence d'Alche-Buc
Poster
Tue 14:00 Fast Differentiable Sorting and Ranking
Mathieu Blondel · Olivier Teboul · Quentin Berthet · Josip Djolonga
Poster
Wed 5:00 Learning What to Defer for Maximum Independent Sets
Sungsoo Ahn · Younggyo Seo · Jinwoo Shin
Poster
Wed 5:00 The Differentiable Cross-Entropy Method
Brandon Amos · Denis Yarats
Poster
Wed 8:00 Predicting deliberative outcomes
Vikas K Garg · Tommi Jaakkola