Adversarial Data Augmentation Improves Unsupervised Machine Learning
- Chia-Yi Hsu
- Pin-Yu Chen
- et al.
- 2021
- ICLR 2021
Publications
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37 results at ICLR 2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
Fairly Estimating Socioeconomic Status Under Costly Feature Acquisition
- Ritika Brahmadesam
- Kush R. Varshney
- 2021
- ICLR 2021
Toward Non-Singular Robustness of Neural Networks
- Yu-Lin Tsai
- Chia-Yi Hsu
- et al.
- 2021
- ICLR 2021
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
- Sekou L. Remy
- Oliver Bent
- 2021
- ICLR 2021
Engineering Fair Machine Learning Pipelines
- Martin Hirzel
- Kiran Kate
- et al.
- 2021
- ICLR 2021
Simple Transparent Adversarial Examples
- Jaydeep Borkar
- Pin-Yu Chen
- 2021
- ICLR 2021
Meta Federated Learning
- Omid Aramoon
- Gang Qu
- et al.
- 2021
- ICLR 2021
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
- Huck Yang
- Yun Yun Tsai
- et al.
- 2021
- ICLR 2021
Extracting Hyperparameter Constraints from Code
- Ingkarat Rak-amnouykit
- Ana Milanova
- et al.
- 2021
- ICLR 2021