Mitigating Dataset Imbalance via Joint Generation and Classification. - Aadarsh Sahoo; Ankit Singh; Rameswar Panda; Rogério Schmidt Feris; Abir Das (ECCV Workshops (6), 2020)

Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing. - Aadarsh Sahoo; Rutav Shah; Rameswar Panda; Kate Saenko; Abir Das (NeurIPS, 2021)

AnyDA: Anytime Domain Adaptation. - Omprakash Chakraborty; Aadarsh Sahoo; Rameswar Panda; Abir Das (ICLR, 2023)

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation. - Aadarsh Sahoo; Rameswar Panda; Rogério Feris; Kate Saenko; Abir Das (WACV, 2023)

XPL: A Cross-Model framework for Semi-Supervised Prompt Learning in Vision-Language Models. - Omprakash Chakraborty; Aadarsh Sahoo; Rameswar Panda; Abir Das (Trans. Mach. Learn. Res., 2024)

Aligning Text, Images, and 3D Structure Token-by-Token. - Aadarsh Sahoo; Vansh Tibrewal; Georgia Gkioxari (CoRR, 2025)