Divyam Madaan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Brain Mr Image Segmentation

Textual Entailment

Top Venues

Publications

Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR (2024)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. ACL (1) (2023)
Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang
Improving Representational Continuity via Continued Pretraining. CoRR (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. CoRR (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CVPR (2023)
Divyam Madaan, Daniel K. Sodickson, Kyunghyun Cho, Sumit Chopra
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis. MIDL (2023)
Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov
Heterogeneous Continual Learning. CoRR (2023)
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. CoRR (2022)
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Representational Continuity for Unsupervised Continual Learning. ICLR (2022)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR (2022)
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Learning to Generate Noise for Multi-Attack Robustness. ICML (2021)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR (2021)
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR (2021)
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR (2020)
Divyam Madaan, Jinwoo Shin, Sung Ju Hwang
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML (2020)
Radhika Dua, Divyam Madaan, Prerana Mukherjee, Brejesh Lall
Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting. BigDataService (2019)
Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. CoRR (2019)
Divyam Madaan, Sung Ju Hwang
Adversarial Neural Pruning. CoRR (2019)
Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting. GlobalSIP (2019)