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Workshop
Fri 6:00 End-to-End ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Jacob Kahn
Poster
Tue 14:00 Simple and sharp analysis of k-means||
Vaclav Rozhon
Poster
Thu 17:00 Sparse Subspace Clustering with Entropy-Norm
Liang Bai · Jiye Liang
Poster
Tue 15:00 Interferometric Graph Transform: a Deep Unsupervised Graph Representation
Edouard Oyallon
Poster
Thu 6:00 Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song · Stefano Ermon
Poster
Tue 7:00 Individual Fairness for k-Clustering
Sepideh Mahabadi · Ali Vakilian
Poster
Wed 8:00 Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman
Poster
Wed 14:00 It's Not What Machines Can Learn, It's What We Cannot Teach
Gal Yehuda · Moshe Gabel · Assaf Schuster
Poster
Thu 13:00 On Efficient Low Distortion Ultrametric Embedding
Vincent Cohen-Addad · Karthik C. S. · Guillaume Lagarde
Poster
Wed 10:00 Time-Consistent Self-Supervision for Semi-Supervised Learning
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Thu 7:00 Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang · Qicheng Lao · Stan Matwin · Mohammad Havaei
Poster
Wed 12:00 k-means++: few more steps yield constant approximation
Davin Choo · Christoph Grunau · Julian Portmann · Vaclav Rozhon