firstbacksecondback
49 Results
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 |