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Poster
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Tue 7:00 |
Distance Metric Learning with Joint Representation Diversification Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong |
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Poster
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Tue 7:00 |
Scalable Nearest Neighbor Search for Optimal Transport Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner |
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Poster
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Tue 7:00 |
Deep Divergence Learning Kubra Cilingir, Rachel Manzelli, Brian Kulis |
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Poster
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Tue 8:00 |
An end-to-end approach for the verification problem: learning the right distance Joao Monteiro, Isabela Albuquerque, Jahangir Alam, R Devon Hjelm, Tiago Falk |
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Poster
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Tue 9:00 |
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun |
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Poster
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Tue 10:00 |
Deep Isometric Learning for Visual Recognition Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik |
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Poster
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Tue 11:00 |
A Swiss Army Knife for Minimax Optimal Transport Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban |
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Poster
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Tue 11:00 |
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer Alexey Drutsa |
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Poster
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Tue 13:00 |
Graph Random Neural Features for Distance-Preserving Graph Representations Daniele Zambon, Cesare Alippi, Lorenzo Livi |
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Poster
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Tue 14:00 |
Learning Similarity Metrics for Numerical Simulations Georg Kohl, Kiwon Um, Nils Thuerey |
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Poster
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Thu 6:00 |
Stochastic Flows and Geometric Optimization on the Orthogonal Group Krzysztof Choromanski, David Cheikhi, Jared Quincy Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tamas Sarlos, Adrian Weller, Vikas Sindhwani |
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Poster
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Thu 12:00 |
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samrath Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen |
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Poster
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Thu 13:00 |
On Efficient Low Distortion Ultrametric Embedding Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde |