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Poster
Wed 1:00 On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh · alexandre thiery
Workshop
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
Poster
Tue 17:00 Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin · Mike Wu · Noah Goodman
Poster
Wed 1:00 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi · LU HOU · Lifeng Shang · Xin Jiang · Qun Liu · Zhi-Ming Ma
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
Workshop
DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations
Eitan Borgnia
Poster
Mon 9:00 Shape-Texture Debiased Neural Network Training
Yinigwei Li · Qihang Yu · Mingxing Tan · Jieru Mei · Peng Tang · Wei Shen · Alan Yuille · Cihang Xie
Poster
Wed 1:00 Negative Data Augmentation
Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon
Poster
Thu 9:00 Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas
Poster
Tue 9:00 Tradeoffs in Data Augmentation: An Empirical Study
Raphael Gontijo Lopes · Sylvia Smullin · Ekin Cubuk · Ethan Dyer
Poster
Mon 17:00 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel · Albert Gu · Yixuan Li · Christopher Re
Poster
Mon 1:00 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung · Dit-Yan Yeung