19 citations · 20 across the 4 of their papers we have counts for
4 papers
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation
Sandipan Choudhuri, Arunabha Sen
Unwanted samples from private source categories in the learning objective of a partial domain adaptation setup can lead to negative transfer and reduce classification performance.…
Methodologies for Selection of Optimal Sites for Renewable Energy Under a Diverse Set of Constraints and Objectives
Arunabha Sen, Christopher Sumnicht, Sandipan Choudhuri +2
In this paper, we present methodologies for optimal selection for renewable energy sites under a different set of constraints and objectives. We consider two different models for t…
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes
Sandipan Choudhuri, Suli Adeniye, Arunabha Sen
This work proposes a robust Partial Domain Adaptation (PDA) framework that mitigates the negative transfer problem by incorporating a robust target-supervision strategy. It leverag…
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation
Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen
In contrast to a standard closed-set domain adaptation task, partial domain adaptation setup caters to a realistic scenario by relaxing the identical label set assumption. The fact…