On Boosting, Tug of War, and Lexicographic Programming. - Shounak Datta; Sayak Nag; Swagatam Das (CoRR, 2017)

Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts. - Shounak Datta; Sayak Nag; Sankha Subhra Mullick; Swagatam Das (CoRR, 2017)

Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning. - Shounak Datta; Sayak Nag; Swagatam Das (IEEE Trans. Knowl. Data Eng., 2020)

Learning Few-shot Open-set Classifiers using Exemplar Reconstruction. - Sayak Nag; Dripta S. Raychaudhuri; Sujoy Paul; Amit K. Roy-Chowdhury (CoRR, 2021)

Unbiased Scene Graph Generation in Videos. - Sayak Nag; Kyle Min 001; Subarna Tripathi; Amit K. Roy-Chowdhury (CVPR, 2023)

Semantics Guided Contrastive Learning of Transformers for Zero-shot Temporal Activity Detection. - Sayak Nag; Orpaz Goldstein; Amit K. Roy-Chowdhury (WACV, 2023)

Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation. - Md Shazid Islam; Sayak Nag; Arindam Dutta; Sk Miraj Ahmed; Fahim Faisal Niloy; Amit K. Roy-Chowdhury (CoRR, 2023)

Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition. - Sayak Nag; Dripta S. Raychaudhuri; Sujoy Paul; Amit K. Roy-Chowdhury (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation. - Sayak Nag; Udita Ghosh; Calvin-Khang Ta; Sarosij Bose; Jiachen Li; Amit K. Roy-Chowdhury (CVPR, 2025)

Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes. - Sarosij Bose; Arindam Dutta; Sayak Nag; Junge Zhang; Jiachen Li; Konstantinos Karydis; Amit K. Roy-Chowdhury (CoRR, 2025)