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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 PM -- 10:20 PM (KST)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
In Supervised Learning 2
Yang Liu
[ Paper ]
Spotlight
Wed Jul 21 10:20 PM -- 10:25 PM (KST)
Selecting Data Augmentation for Simulating Interventions
In Supervised Learning 2
Maximilian Ilse · Jakub Tomczak · Patrick Forré
[ Paper ]
Spotlight
Wed Jul 21 10:25 PM -- 10:30 PM (KST)
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 10:30 PM -- 10:35 PM (KST)
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 10:35 PM -- 10:40 PM (KST)
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 10:40 PM -- 10:45 PM (KST)
What does LIME really see in images?
In Supervised Learning 2
Damien Garreau · Dina Mardaoui
[ Paper ]
Spotlight
Wed Jul 21 10:45 PM -- 10:50 PM (KST)
Narrow Margins: Classification, Margins and Fat Tails
In Supervised Learning 2
Francois Buet-Golfouse
[ Paper ]
Q&A
Wed Jul 21 10:50 PM -- 10:55 PM (KST)
Q&A
In Supervised Learning 2