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Poster
Tue 9:00 Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
Spotlight
Wed 5:20 SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
Oral
Thu 6:00 Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Xu · Lei Shang · Jinxing Ye · Qi Qian · Yufeng Li · Baigui Sun · Hao Li · rong jin
Spotlight
Tue 7:35 Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Spotlight
Thu 7:30 Defense against backdoor attacks via robust covariance estimation
Jonathan Hayase · Weihao Kong · Raghav Somani · Sewoong Oh
Poster
Tue 21:00 Accurate Post Training Quantization With Small Calibration Sets
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Poster
Thu 9:00 Parameterless Transductive Feature Re-representation for Few-Shot Learning
Wentao Cui · Yuhong Guo
Poster
Tue 21:00 Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Workshop
Differentially Private Algorithms for Graphs UnderContinual Observation
Hendrik Fichtenberger · Monika Henzinger · Wolfgang Ost
Poster
Thu 21:00 A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
Poster
Thu 21:00 Towards Better Robust Generalization with Shift Consistency Regularization
Shufei Zhang · Zhuang Qian · Kaizhu Huang · Qiufeng Wang · Rui Zhang · Xinping Yi
Poster
Wed 9:00 Faster Kernel Matrix Algebra via Density Estimation
Arturs Backurs · Piotr Indyk · Cameron Musco · Tal Wagner