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38 Results
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Invited Talk
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Wed 8:00 |
Is My Dataset Biased? Kate Saenko |
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Spotlight
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Wed 20:20 |
Understanding the role of importance weighting for deep learning Da Xu · Yuting Ye · Chuanwei Ruan |
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Spotlight
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Tue 12:30 |
Mind the Pad -- CNNs Can Develop Blind Spots Bilal Alsallakh · Narine Kokhlikyan · Vivek Miglani · Jun Yuan · Orion Reblitz-Richardson |
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Spotlight
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Mon 12:45 |
On Statistical Bias In Active Learning: How and When to Fix It Sebastian Farquhar · Yarin Gal · Tom Rainforth |
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Poster
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Mon 17:00 |
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients Jing An · Lexing Ying · Yuhua Zhu |
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Poster
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Mon 1:00 |
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi · Ranjitha Subramaniam · Robin Hutmacher · Julien Vitay · Volker Fischer · Jan Hendrik Metzen |
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Poster
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Tue 9:00 |
Shape or Texture: Understanding Discriminative Features in CNNs Md Amirul Islam · Matthew Kowal · Patrick Esser · Sen Jia · Björn Ommer · Kosta Derpanis · Neil Bruce |
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Poster
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Mon 9:00 |
Predicting Inductive Biases of Pre-Trained Models Charles Lovering · Rohan Jha · Tal Linzen · Ellie Pavlick |
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Poster
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Mon 9:00 |
Learning from others' mistakes: Avoiding dataset biases without modeling them Victor Sanh · Thomas Wolf · Yonatan Belinkov · Alexander M Rush |
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Poster
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Mon 9:00 |
On Statistical Bias In Active Learning: How and When to Fix It Sebastian Farquhar · Yarin Gal · Tom Rainforth |
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Poster
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Tue 1:00 |
What they do when in doubt: a study of inductive biases in seq2seq learners Kharitonov Eugene · Rahma Chaabouni |
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Oral
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Mon 4:15 |
A Distributional Approach to Controlled Text Generation Muhammad Khalifa · Hady Elsahar · Marc Dymetman |