10 citations · 25 across the 7 of their papers we have counts for
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cs.LG2021
RISAN: Robust Instance Specific Abstention Network
Bhavya Kalra, Kulin Shah, Naresh Manwani
In this paper, we propose deep architectures for learning instance specific abstain (reject option) binary classifiers. The proposed approach uses double sigmoid loss function as d…
cs.LG2021
Learning and Generalization in Overparameterized Normalizing Flows
Kulin Shah, Amit Deshpande, Navin Goyal
In supervised learning, it is known that overparameterized neural networks with one hidden layer provably and efficiently learn and generalize, when trained using stochastic gradie…
cs.LG2021★ 10 cited
Rawlsian Fair Adaptation of Deep Learning Classifiers
Kulin Shah, Pooja Gupta, Amit Deshpande +1
Group-fairness in classification aims for equality of a predictive utility across different sensitive sub-populations, e.g., race or gender. Equality or near-equality constraints i…