Multi-source Open-Set Deep Adversarial Domain Adaptation. - Sayan Rakshit; Dipesh Tamboli; Pragati Shuddhodhan Meshram; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri (ECCV (26), 2020)

Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. - Sravanti Addepalli; Dipesh Tamboli; R. Venkatesh Babu; Biplab Banerjee (ICIP, 2020)

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning. - Abhijeet Patil; Dipesh Tamboli; Swati Meena; Deepak Anand; Amit Sethi (CoRR, 2020)

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes. - Mukesh Kumar Vishal; Dipesh Tamboli; Abhijeet Patil; Rohit Saluja; Biplab Banerjee; Amit Sethi; Raju Dhandapani; Sudhir Kumar 003; Rabi Narayan Sahoo; Viswanathan Chinnusamy; J. Adinarayana (CoRR, 2020)

Explaining decision of model from its prediction. - Dipesh Tamboli (CoRR, 2021)

RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework. - Advait Kumar; Dipesh Tamboli; Shivam Pande; Biplab Banerjee (IGARSS, 2022)

Domain Adaptive Few-Shot Open-Set Learning. - Debabrata Pal; Deeptej More; Sai Bhargav; Dipesh Tamboli; Vaneet Aggarwal; Biplab Banerjee (ICCV, 2023)

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. - Jiayu Chen; Dipesh Tamboli; Tian Lan 001; Vaneet Aggarwal (ICML, 2023)

Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision. - Aditya Malusare; Harish Kothandaraman; Dipesh Tamboli; Nadia A. Lanman; Vaneet Aggarwal (CoRR, 2023)

Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. - Dipesh Tamboli; Jiayu Chen; Kiran Pranesh Jotheeswaran; Denny Yu; Vaneet Aggarwal (IEEE J. Biomed. Health Informatics, 2024)

BalancedDPO: Adaptive Multi-Metric Alignment. - Dipesh Tamboli; Souradip Chakraborty; Aditya Malusare; Biplab Banerjee; Amrit Singh Bedi; Vaneet Aggarwal (CoRR, 2025)