|
Poster
|
|
Learning Multimodal Data Augmentation in Feature Space
Zichang Liu · Zhiqiang Tang · Xingjian Shi · Aston Zhang · Mu Li · Anshumali Shrivastava · Andrew Wilson
|
|
|
Poster
|
|
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
Sirui Zheng · Lingxiao Wang · Shuang Qiu · Zuyue Fu · Zhuoran Yang · Csaba Szepesvari · Zhaoran Wang
|
|
|
Workshop
|
Thu 4:00
|
What Contrastive Learning Learns Beyond Class-wise Features?
Xingyuming Liu · Yifei Wang · Yisen Wang
|
|
|
Poster
|
Tue 2:30
|
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee · Ondrej Biza · Robert Platt · Robin Walters
|
|
|
Oral
|
Tue 1:10
|
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee · Ondrej Biza · Robert Platt · Robin Walters
|
|
|
Poster
|
Tue 7:30
|
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Shutong Wu · Sizhe Chen · Cihang Xie · Xiaolin Huang
|
|
|
Oral
|
Tue 6:10
|
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Shutong Wu · Sizhe Chen · Cihang Xie · Xiaolin Huang
|
|
|
Poster
|
Tue 2:30
|
Long-Tailed Learning Requires Feature Learning
Thomas Laurent · James von Brecht · Xavier Bresson
|
|
|
Poster
|
|
Random Laplacian Features for Learning with Hyperbolic Space
Tao Yu · Christopher De Sa
|
|
|
Poster
|
|
Interpretability with full complexity by constraining feature information
Kieran Murphy · Danielle Bassett
|
|
|
Poster
|
|
Optimal Activation Functions for the Random Features Regression Model
Jianxin Wang · José Bento
|
|
|
Poster
|
Tue 2:30
|
Adaptive Optimization in the ∞-Width Limit
Etai Littwin · Greg Yang
|
|
