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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 11:00 AM -- 11:20 AM (KST)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
In Deep Learning Algorithms 7
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
[ Paper ]
Spotlight
Wed Jul 21 11:20 AM -- 11:25 AM (KST)
What Makes for End-to-End Object Detection?
In Deep Learning Algorithms 7
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
[ Paper ]
Spotlight
Wed Jul 21 11:25 AM -- 11:30 AM (KST)
On Explainability of Graph Neural Networks via Subgraph Explorations
In Deep Learning Algorithms 7
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
[ Paper ]
Spotlight
Wed Jul 21 11:30 AM -- 11:35 AM (KST)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
In Deep Learning Algorithms 7
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
[ Paper ]
Spotlight
Wed Jul 21 11:35 AM -- 11:40 AM (KST)
Data Augmentation for Meta-Learning
In Deep Learning Algorithms 7
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
[ Paper ]
Spotlight
Wed Jul 21 11:40 AM -- 11:45 AM (KST)
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
In Deep Learning Algorithms 7
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
[ Paper ]
Spotlight
Wed Jul 21 11:45 AM -- 11:50 AM (KST)
Neural Symbolic Regression that scales
In Deep Learning Algorithms 7
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
[ Paper ]
Q&A
Wed Jul 21 11:50 AM -- 11:55 AM (KST)
Q&A
In Deep Learning Algorithms 7