Effective Elastic Scaling of Deep Learning WorkloadsVaibhav SaxenaJayaram Kr Kallapalayam Radhakrishnanet al.2020MASCOTS 2020
Enhancing simple models by exploiting what they already knowAmit DhurandharKarthikeyan Shanmugamet al.2020ICML 2020
PoWER-BERT: Accelerating BERT inference via progressive word-vector eliminationSaurabh GoyalAnamitra R. Choudhuryet al.2020ICML 2020
Is there a trade-off between fairness and accuracy? A perspective using mismatched hypothesis testingSanghamitra DuttaDennis Weiet al.2020ICML 2020
Proper network interpretability helps adversarial robustness in classificationAkhilan BoopathySijia Liuet al.2020ICML 2020
Two simple ways to learn individual fairness metrics from dataDebarghya MukherjeeMikhail Yurochkinet al.2020ICML 2020
Transfer learning without knowing: Reprogramming black-box machine learning models with scarce data and limited resourcesYun Yun TsaiPin-Yu Chenet al.2020ICML 2020