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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
In Supervised Learning 2
Yang Liu
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Selecting Data Augmentation for Simulating Interventions
In Supervised Learning 2
Maximilian Ilse · Jakub Tomczak · Patrick Forré
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
In Supervised Learning 2
Durga S · Rishabh Iyer · Ganesh Ramakrishnan · Abir De
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
In Supervised Learning 2
Avik Pal · Yingbo Ma · Viral Shah · Christopher Rackauckas
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
In Supervised Learning 2
Mingyuan Zhang · Jane Lee · Shivani Agarwal
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
What does LIME really see in images?
In Supervised Learning 2
Damien Garreau · Dina Mardaoui
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
In Supervised Learning 2
Francois Buet-Golfouse
[ Paper ]
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Supervised Learning 2