Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting. - Radhika Dua; Divyam Madaan; Prerana Mukherjee; Brejesh Lall (BigDataService, 2019)

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. - Divyam Madaan; Radhika Dua; Prerana Mukherjee; Brejesh Lall (GlobalSIP, 2019)

Adversarial Neural Pruning. - Divyam Madaan; Sung Ju Hwang (CoRR, 2019)

Adversarial Neural Pruning with Latent Vulnerability Suppression. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (ICML, 2020)

Learning to Generate Noise for Robustness against Multiple Perturbations. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (CoRR, 2020)

Learning to Generate Noise for Multi-Attack Robustness. - Divyam Madaan; Jinwoo Shin; Sung Ju Hwang (ICML, 2021)

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. - Divyam Madaan; Jaehong Yoon; Yuanchun Li; Yunxin Liu 001; Sung Ju Hwang (CoRR, 2021)

Representational Continuity for Unsupervised Continual Learning. - Divyam Madaan; Jaehong Yoon; Yuanchun Li; Yunxin Liu 001; Sung Ju Hwang (ICLR, 2022)

Online Coreset Selection for Rehearsal-based Continual Learning. - Jaehong Yoon; Divyam Madaan; Eunho Yang; Sung Ju Hwang (ICLR, 2022)

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. - Julian Michael; Ari Holtzman; Alicia Parrish; Aaron Mueller; Alex Wang; Angelica Chen; Divyam Madaan; Nikita Nangia; Richard Yuanzhe Pang; Jason Phang; Samuel R. Bowman (ACL (1), 2023)

Heterogeneous Continual Learning. - Divyam Madaan; Hongxu Yin; Wonmin Byeon; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2023)

On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. - Divyam Madaan; Daniel K. Sodickson; Kyunghyun Cho; Sumit Chopra (MIDL, 2023)

Improving Representational Continuity via Continued Pretraining. - Michael Sun; Ananya Kumar; Divyam Madaan; Percy Liang (CoRR, 2023)

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis. - Haoxu Huang; Cem M. Deniz; Kyunghyun Cho; Sumit Chopra; Divyam Madaan (ML4H@NeurIPS, 2024)

Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning. - Divyam Madaan; Taro Makino; Sumit Chopra; Kyunghyun Cho (NeurIPS, 2024)

A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. - Divyam Madaan; Taro Makino; Sumit Chopra; Kyunghyun Cho (CoRR, 2024)