Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages. - Baban Gain; Dibyanayan Bandyopadhyay; Samrat Mukherjee; Chandranath Adak; Asif Ekbal (CoRR, 2023)

Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection. - Samrat Mukherjee; Dibyanayan Bandyopadhyay; Baban Gain; Asif Ekbal (CoRR, 2023)

Deep evolving semi-supervised anomaly detection. - Jack Belham; Aryan Bhosale; Samrat Mukherjee; Biplab Banerjee; Fabio Cuzzolin (CoRR, 2024)

Anomaly detection using Diffusion-based methods. - Aryan Bhosale; Samrat Mukherjee; Biplab Banerjee; Fabio Cuzzolin (CoRR, 2024)

Transforming Code Understanding: Clustering-Based Retrieval for Improved Summarization in Domain-Specific Languages. - Baban Gain; Dibyanayan Bandyopadhyay; Samrat Mukherjee; Aryan Sahoo; Saswati Dana; Palanivel A. Kodeswaran; Sayandeep Sen; Asif Ekbal; Dinesh Garg (COLING (Industry), 2025)

Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation. - Tanuj Sur; Samrat Mukherjee; Kaizer Rahaman; Subhasis Chaudhuri; Muhammad Haris Khan; Biplab Banerjee (CVPR, 2025)

UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning. - Samrat Mukherjee; Tanuj Sur; Saurish Seksaria; Subhasis Chaudhuri; Gemma Roig; Biplab Banerjee (ICASSP, 2025)

Parameter-Efficient Continual Fine-Tuning: A Survey. - Eric Nuertey Coleman; Luigi Quarantiello; Ziyue Liu; Qinwen Yang; Samrat Mukherjee; Julio Hurtado; Vincenzo Lomonaco (CoRR, 2025)