Skip to yearly menu bar Skip to main content


(8 events)   Timezone:  
Show all
The 2021 schedule is still incomplete
Toggle Poster Visibility
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
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
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
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
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
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
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
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
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Data Augmentation for Meta-Learning
In Deep Learning Algorithms 7
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
In Deep Learning Algorithms 7
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Neural Symbolic Regression that scales
In Deep Learning Algorithms 7
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
[ Paper ]
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Learning Algorithms 7