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Sanjyot Vaidya

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2022
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Abhijit Suprem, Sanjyot Vaidya, Suma Cherkadi, Purva Singh, João Eduardo Ferreira, Calton Pu:
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning. CogMI 2022: 74-83
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Abhijit Suprem, Sanjyot Vaidya, Calton Pu:
Exploring Generalizability of Fine-Tuned Models for Fake News Detection. CIC 2022: 82-88
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  - journals/corr/abs-2205-10011
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Abhijit Suprem, Sanjyot Vaidya, Suma Cherkadi, Purva Singh, João Eduardo Ferreira, Calton Pu:
Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning. CoRR abs/2205.10011 (2022)
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Abhijit Suprem, Sanjyot Vaidya, Avinash Venugopal, João Eduardo Ferreira, Calton Pu:
EdnaML: A Declarative API and Framework for Reproducible Deep Learning. CoRR abs/2211.06783 (2022)
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Abhijit Suprem, Purva Singh, Suma Cherkadi, Sanjyot Vaidya, João Eduardo Ferreira, Calton Pu:
ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature Extraction using Annotation Team of Experts. CoRR abs/2211.09098 (2022)
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Abhijit Suprem, Sanjyot Vaidya, João Eduardo Ferreira, Calton Pu:
Time-Aware Datasets are Adaptive Knowledgebases for the New Normal. CoRR abs/2211.12508 (2022)

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