Search Results for author: Mangesh Bendre

Found 3 papers, 0 papers with code

Tackling Diverse Minorities in Imbalanced Classification

no code implementations28 Aug 2023 Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu

Imbalanced datasets are commonly observed in various real-world applications, presenting significant challenges in training classifiers.

Anomaly Detection Classification +2

Few-shot graph link prediction with domain adaptation

no code implementations29 Sep 2021 Hao Zhu, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Soha Hassoun

In this work, we propose an adversarial training based modification to the current state-of-the-arts link prediction method to solve this problem.

Domain Adaptation Few-Shot Learning +1

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation

no code implementations21 May 2020 Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram

The rapid proliferation of new users and items on the social web has aggravated the gray-sheep user/long-tail item challenge in recommender systems.

Clustering Collaborative Filtering +2

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