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Tue Jul 19 10:30 AM -- 10:35 AM (PDT) @ Room 301 - 303
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Spotlight
Tue Jul 19 10:35 AM -- 10:40 AM (PDT) @ Room 301 - 303
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data
Spotlight
Tue Jul 19 10:40 AM -- 10:45 AM (PDT) @ Room 301 - 303
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding
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Paper PDF]
Spotlight
Tue Jul 19 10:50 AM -- 10:55 AM (PDT) @ Room 301 - 303
Meta-Learning Hypothesis Spaces for Sequential Decision-making
Spotlight
Tue Jul 19 10:55 AM -- 11:00 AM (PDT) @ Room 301 - 303
A Tighter Analysis of Spectral Clustering, and Beyond
Oral
Tue Jul 19 11:00 AM -- 11:20 AM (PDT) @ Room 301 - 303
Online Active Regression
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Tue Jul 19 11:20 AM -- 11:25 AM (PDT) @ Room 301 - 303
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis
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Tue Jul 19 11:25 AM -- 11:30 AM (PDT) @ Room 301 - 303
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework
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Paper PDF]
Spotlight
Tue Jul 19 11:30 AM -- 11:35 AM (PDT) @ Room 301 - 303
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
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Paper PDF]
Spotlight
Tue Jul 19 11:35 AM -- 11:40 AM (PDT) @ Room 301 - 303
Confidence Score for Source-Free Unsupervised Domain Adaptation
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Tue Jul 19 11:40 AM -- 11:45 AM (PDT) @ Room 301 - 303
Gradient Based Clustering
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Tue Jul 19 11:45 AM -- 11:50 AM (PDT) @ Room 301 - 303
Global Optimization of K-Center Clustering
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Paper PDF]
Spotlight
Tue Jul 19 11:50 AM -- 11:55 AM (PDT) @ Room 301 - 303
Latent Outlier Exposure for Anomaly Detection with Contaminated Data