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Inderjit S. Dhillon

Cluster-and-Conquer: A Framework For Time-Series Forecasting

Oct 26, 2021
Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon

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* 25 pages, 3 figures

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Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Oct 01, 2021
Jiong Zhang, Wei-cheng Chang, Hsiang-fu Yu, Inderjit S. Dhillon

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Extreme Multi-label Learning for Semantic Matching in Product Search

Jun 23, 2021
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon

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* Accepted in KDD 2021 Applied Data Science Track

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DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning

Jun 13, 2021
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon

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