Publications

1442 results for Machine Learning

Proper network interpretability helps adversarial robustness in classification
- - Akhilan Boopathy
  - Sijia Liu
  - et al.
- 2020
- ICML 2020
PoWER-BERT: Accelerating BERT inference via progressive word-vector elimination
- - Saurabh Goyal
  - Anamitra R. Choudhury
  - et al.
- 2020
- ICML 2020
Invariant Risk Minimization Games
- - Kartik Ahuja
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Two simple ways to learn individual fairness metrics from data
- - Debarghya Mukherjee
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resources
- - Yun Yun Tsai
  - Pin-Yu Chen
  - et al.
- 2020
- ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testing
- - Sanghamitra Dutta
  - Dennis Wei
  - et al.
- 2020
- ICML 2020
Model fusion with kullback-leibler divergence
- - Sebastian Claici
  - Mikhail Yurochkin
  - et al.
- 2020
- ICML 2020
Enhancing simple models by exploiting what they already know
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Learning to rank learning curves
- - Martin Wistuba
  - Tejaswini Pedapati
- 2020
- ICML 2020
PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models
- - Jannis Born
  - Matteo Manica
  - et al.
- 2020
- ICML 2020