Divyam Madaan
Divyam Madaan
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Learning Sparse Networks Using Targeted Dropout
AN Gomez, I Zhang, SR Kamalakara, D Madaan, K Swersky, Y Gal, ...
arXiv preprint arXiv:1905.13678, 2019
Online Coreset Selection for Rehearsal-based Continual Learning
J Yoon, D Madaan, E Yang, SJ Hwang
arXiv preprint arXiv:2106.01085, 2021
Representational Continuity for Unsupervised Continual Learning
D Madaan, J Yoon, Y Li, Y Liu, SJ Hwang
International Conference on Learning Representations, 2021
Adversarial Neural Pruning with Latent Vulnerability Suppression
D Madaan, J Shin, SJ Hwang
37th International Conference on Machine Learning, 2020
Learning to Generate Noise for Multi-Attack Robustness
D Madaan, J Shin, SJ Hwang
38th International Conference on Machine Learning, 2021
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
J Michael, A Holtzman, A Parrish, A Mueller, A Wang, A Chen, D Madaan, ...
arXiv preprint arXiv:2208.12852, 2022
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
D Madaan, R Dua, P Mukherjee, B Lall
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019
Heterogeneous Continual Learning
D Madaan, H Yin, W Byeon, J Kautz, P Molchanov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
D Madaan, D Sodickson, K Cho, S Chopra
Medical Imaging with Deep Learning, 2023
Generalizable robust deep learning via adversarial pruning and meta-noise generation
D Madaan
한국과학기술원, 2021
Separating Multimodal Modeling from Multidimensional Modeling for Multimodal Learning
D Madaan, T Makino, S Chopra, K Cho
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