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Divyam Madaan

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On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis

Jun 23, 2023
Divyam Madaan, Daniel Sodickson, Kyunghyun Cho, Sumit Chopra

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Heterogeneous Continual Learning

Jun 14, 2023
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

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Improving Representational Continuity via Continued Pretraining

Feb 26, 2023
Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang

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What Do NLP Researchers Believe? Results of the NLP Community Metasurvey

Aug 26, 2022
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman

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Rethinking the Representational Continuity: Towards Unsupervised Continual Learning

Oct 15, 2021
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

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Online Coreset Selection for Rehearsal-based Continual Learning

Jun 02, 2021
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

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Learning to Generate Noise for Robustness against Multiple Perturbations

Jun 22, 2020
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

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Adversarial Neural Pruning

Aug 12, 2019
Divyam Madaan, Sung Ju Hwang

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VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

Apr 08, 2019
Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall

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