Divyam Madaan

According to our database, Divyam Madaan authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Improving Representational Continuity via Continued Pretraining.

Michael Sun, Ananya Kumar, Divyam Madaan, Percy Liang

CoRR, 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

Proceedings of the Medical Imaging with Deep Learning, 2023

Heterogeneous Continual Learning.

Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Online Coreset Selection for Rehearsal-based Continual Learning.

Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Representational Continuity for Unsupervised Continual Learning.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

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

CoRR, 2021

Learning to Generate Noise for Multi-Attack Robustness.

Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Learning to Generate Noise for Robustness against Multiple Perturbations.

Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

CoRR, 2020

Adversarial Neural Pruning with Latent Vulnerability Suppression.

Divyam Madaan, Jinwoo Shin, Sung Ju Hwang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Adversarial Neural Pruning.

Divyam Madaan, Sung Ju Hwang

CoRR, 2019

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting.

Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting.

Radhika Dua, Divyam Madaan, Prerana Mukherjee, Brejesh Lall

Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019