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Anil Ramakrishna

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Partial Federated Learning

Mar 03, 2024
Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard Zemel, Morteza Ziyadi, Rahul Gupta

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JAB: Joint Adversarial Prompting and Belief Augmentation

Nov 16, 2023
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

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FedMultimodal: A Benchmark For Multimodal Federated Learning

Jun 20, 2023
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan

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Federated Learning with Noisy User Feedback

May 06, 2022
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta

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Towards Realistic Single-Task Continuous Learning Research for NER

Oct 27, 2021
Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta

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Sentence level estimation of psycholinguistic norms using joint multidimensional annotations

May 20, 2020
Anil Ramakrishna, Shrikanth Narayanan

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Joint Multi-Dimensional Model for Global and Time-Series Annotations

May 06, 2020
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan

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A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project

May 01, 2019
Victor R Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth Narayanan

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