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17 Results
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Poster
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Tue 18:30 |
Metric-Optimized Example Weights Sen Zhao · Mahdi Milani Fard · Harikrishna Narasimhan · Maya Gupta |
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Oral
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Thu 12:15 |
Learning Distance for Sequences by Learning a Ground Metric Bing Su · Ying Wu |
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Poster
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Tue 18:30 |
Flat Metric Minimization with Applications in Generative Modeling Thomas Möllenhoff · Daniel Cremers |
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Poster
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Thu 18:30 |
Model Comparison for Semantic Grouping Francisco Vargas · Kamen Brestnichki · Nils Hammerla |
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Poster
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Thu 18:30 |
Learning Distance for Sequences by Learning a Ground Metric Bing Su · Ying Wu |
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Poster
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Tue 18:30 |
Subspace Robust Wasserstein Distances François-Pierre Paty · Marco Cuturi |
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Poster
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Tue 18:30 |
On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms Tianyi Lin · Nhat Ho · Michael Jordan |
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Poster
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Thu 18:30 |
Scaling Up Ordinal Embedding: A Landmark Approach Jesse Anderton · Javed Aslam |
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Poster
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Tue 18:30 |
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints Andrew Cotter · Maya Gupta · Heinrich Jiang · Nati Srebro · Karthik Sridharan · Serena Wang · Blake Woodworth · Seungil You |
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Poster
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Tue 18:30 |
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning Sung Whan Yoon · Jun Seo · Jaekyun Moon |
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Oral
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Tue 15:00 |
AUCµ: A Performance Metric for Multi-Class Machine Learning Models Ross Kleiman · University of Wisconsin David Page |
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Poster
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Tue 18:30 |
AUCµ: A Performance Metric for Multi-Class Machine Learning Models Ross Kleiman · University of Wisconsin David Page |