Sotabase

Career

· Researcher, NVIDIA2022–
· Ph.D. Student, Computer Science, New York University2021–
· M.S. Student, School of Computing, KAIST2019–
· Research Intern, Celestini Project India2018–
· Researcher, FOR.ai2018–
· Open Source Contributor, Google Summer of Code, KDE2017–
· B.E. (with Honors) in Information Technology, Panjab University2015–

Publications (52)

Online Coreset Selection for Rehearsal-based Continual Learning
International Conference on Learning Representations · 2021
175
cited
Representational Continuity for Unsupervised Continual Learning
International Conference on Learning Representations · 2021
138
cited
Adversarial Neural Pruning with Latent Vulnerability Suppression
International Conference on Machine Learning · 2019
68
cited
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
Annual Meeting of the Association for Computational Linguistics · 2022
46
cited
Learning to Generate Noise for Multi-Attack Robustness
International Conference on Machine Learning · 2020
30
cited
Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting
International Conference on Big Data Computing Service and Applications · 2019
20
cited
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
arXiv.org · 2021
18
cited
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting
IEEE Global Conference on Signal and Information Processing · 2019
13
cited
Learning to Generate Noise for Robustness against Multiple Perturbations
arXiv.org · 2020
12
cited
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Neural Information Processing Systems · 2024
11
cited
Heterogeneous Continual Learning
Computer Vision and Pattern Recognition · 2023
7
cited
Predicting Risk of Alzheimer’s Diseases and Related Dementias with AI Foundation Model on Electronic Health Records
medRxiv · 2024
7
cited
Adversarial Neural Pruning
arXiv.org · 2019
3
cited
Improving Representational Continuity via Continued Pretraining
2023
3
cited
HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
ML4H@NeurIPS · 2024
2
cited
Review on Human Computer Interaction Learning From History & Need of Rethinking
2011
2
cited
Empirical Comparison & Analysis of Shuffle Exchange Network and Its Variants
2012
1
cited
Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional
arXiv.org · 2025
1
cited
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
International Conference on Medical Imaging with Deep Learning · 2023
1
cited
Predicting Alzheimer’s Diseases and Related Dementias in 3‐year timeframe with AI Foundation Model on Electronic Health Records
Alzheimer's & Dementia · 2024
1
cited
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Divyam Madaan | Researcher Profile | Sotabase | Sotabase