19 citations · 21 across the 12 of their papers we have counts for
5 papers · 1 filter
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.…
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…
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation
Sandipan Choudhuri, Riti Paul, Arunabha Sen +2
The generalization power of deep-learning models is dependent on rich-labelled data. This supervision using large-scaled annotated information is restrictive in most real-world sce…
Predicting Future Opioid Incidences Today
Sandipan Choudhuri, Kaustav Basu, Kevin Thomas +1
According to the Center of Disease Control (CDC), the Opioid epidemic has claimed more than 72,000 lives in the US in 2017 alone. In spite of various efforts at the local, state an…
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling
Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel +3
Modern deep learning algorithms have triggered various image segmentation approaches. However most of them deal with pixel based segmentation. However, superpixels provide a certai…