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23 Results

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Poster
Tue 9:00 Fair Mixup: Fairness via Interpolation
Ching-Yao Chuang · Youssef Mroueh
Poster
Tue 17:00 Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song
Oral
Tue 21:03 Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim · Wonho Choo · Hosan Jeong · Hyun Oh Song
Workshop
Fri 6:18 Adversarial Data Augmentation Improves Unsupervised Machine Learning
Chia-Yi Hsu
Poster
Thu 1:00 Counterfactual Generative Networks
Axel Sauer · Andreas Geiger
Poster
Mon 17:00 Explaining the Efficacy of Counterfactually Augmented Data
Divyansh Kaushik · Amrith Setlur · Eduard H Hovy · Zachary Lipton
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
Thu 17:00 i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee · Yian Zhu · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin · Honglak Lee
Poster
Mon 17:00 Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu · Deyi Liu · Junlin Yang · Colin Raffel · Marc Niethammer
Poster
Thu 17:00 Combining Ensembles and Data Augmentation Can Harm Your Calibration
Yeming Wen · Ghassen Jerfel · Rafael Müller · Michael W Dusenberry · Jasper Snoek · Balaji Lakshminarayanan · Dustin Tran
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