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Poster
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Wed 8:45
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Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Xiyang Liu · Prateek Jain · Weihao Kong · Sewoong Oh · Arun Suggala
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Workshop
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Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang · Aly Khan · Yuxin Chen · Robert Grossman
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Affinity Workshop
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Mon 13:30
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Deep Learning from Crowdsourced Labels with Identifiability Guarantees
Shahana Ibrahim · Tri Nguyen · Xiao Fu
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Workshop
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(Un)certainty selection methods for Active Learning on Label Distributions
James Spann · Christopher Homan
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Workshop
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Channel Selection for Test-Time Adaptation Under Distribution Shift
Pedro Vianna · Muawiz Chaudhary · An Tang · Guy Cloutier · Guy Wolf · Michael Eickenberg · Eugene Belilovsky
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Workshop
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On the Synergy Between Label Noise and Learning Rate Annealing in Neural Network Training
Stanley Wei · Tongzheng Ren · Simon Du
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Workshop
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Preparation Of Labeled Cryo-ET Datasets For Training And Evaluation Of Machine Learning Models
Aygul Ishemgulova · Alex J. Noble · Tristan Bepler · Alex De Marco
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Workshop
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Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki · Mihai Nica · Graham Taylor
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Workshop
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Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki · Graham Taylor · Mihai Nica
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Workshop
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An Active Learning Framework for ML-Assisted Labeling of Cryo-EM Micrographs
Robert Kiewisz · Tristan Bepler
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Poster
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Thu 15:00
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AQuA: A Benchmarking Tool for Label Quality Assessment
Mononito Goswami · Vedant Sanil · Arjun Choudhry · Arvind Srinivasan · Chalisa Udompanyawit · Artur Dubrawski
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Poster
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Thu 8:45
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Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
Jang-Hyun Kim · Sangdoo Yun · Hyun Oh Song
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