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Workshop
DP-InstaHide: Data Augmentations Provably Enhance Guarantees Against Dataset Manipulations
Eitan Borgnia · Jonas Geiping · Valeriia Cherepanova · Liam Fowl · Arjun Gupta · Amin Ghiasi · Furong Huang · Micah Goldblum · Tom Goldstein
Poster
Tue 14:00 C-Mixup: Improving Generalization in Regression
Huaxiu Yao · Yiping Wang · Linjun Zhang · James Zou · Chelsea Finn
Poster
Thu 9:00 MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis · Elliot Creager · Ajay Mandlekar · Animesh Garg
Poster
Tue 9:00 Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil · Raphael Gontijo Lopes · Rebecca Roelofs
Poster
Tue 9:00 A Theory of PAC Learnability under Transformation Invariances
Han Shao · Omar Montasser · Avrim Blum
Workshop
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu · Haoyu Yang · David Pan · Brucek Khailany · Mark Ren
Poster
Thu 14:00 Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome
Elliott Gordon-Rodriguez · Thomas Quinn · John Cunningham
Poster
Thu 14:00 The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero · Leon Bottou · Yann LeCun
Workshop
On Data Augmentation and Consistency-based Semi-supervised Relation Extraction
Komal Teru
Poster
Tue 9:00 What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
Huan Wang · Suhas Lohit · Michael Jones · Yun Fu
Poster
Tue 9:00 Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang · Yanchao Sun · Jiahao Su · Fengxiang He · Xinmei Tian · Furong Huang · Tianyi Zhou · Dacheng Tao
Poster
Thu 9:00 Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Ali Seyfi · Jean-Francois Rajotte · Raymond Ng