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Poster
Mon 1:00 SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization
A F M Shahab Uddin · Mst. Sirazam Monira · Wheemyung Shin · TaeChoong Chung · Sung-Ho Bae
Poster
Mon 1:00 MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung · Dit-Yan Yeung
Poster
Mon 9:00 Training GANs with Stronger Augmentations via Contrastive Discriminator
Jongheon Jeong · Jinwoo Shin
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
Mon 17:00 Explaining the Efficacy of Counterfactually Augmented Data
Divyansh Kaushik · Amrith Setlur · Eduard H Hovy · Zachary Lipton
Poster
Mon 17:00 Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer
Poster
Mon 17:00 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
Karan Goel · Albert Gu · Yixuan Li · Christopher Re
Poster
Tue 9:00 Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang · Youssef Mroueh
Poster
Tue 9:00 Tradeoffs in Data Augmentation: An Empirical Study
Raphael Gontijo Lopes · Sylvia Smullin · Ekin Cubuk · Ethan Dyer
Poster
Tue 17:00 Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin · Mike Wu · Noah Goodman
Poster
Tue 17:00 CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
Yanru Qu · Dinghan Shen · Yelong Shen · Sandra Sajeev · Weizhu Chen · Jiawei Han
Poster
Tue 17:00 Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song