A simple baseline for domain adaptation using rotation prediction. - Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2019)

CompRess: Self-Supervised Learning by Compressing Representations. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (NeurIPS, 2020)

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (BMVC, 2021)

Mean Shift for Self-Supervised Learning. - Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (ICCV, 2021)

ISD: Self-Supervised Learning by Iterative Similarity Distillation. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Vipin Pillai; Paolo Favaro; Hamed Pirsiavash (ICCV, 2021)

Constrained Mean Shift for Representation Learning. - Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CoRR, 2021)

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. - Ajinkya Tejankar; Maziar Sanjabi; Bichen Wu; Saining Xie; Madian Khabsa; Hamed Pirsiavash; Hamed Firooz (CoRR, 2021)

Backdoor Attacks on Self-Supervised Learning. - Aniruddha Saha; Ajinkya Tejankar; Soroush Abbasi Koohpayegani; Hamed Pirsiavash (CVPR, 2022)

Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Kossar Pourahmadi; Akshayvarun Subramanya; Hamed Pirsiavash (ECCV (31), 2022)

SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. - K. L. Navaneet; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

Backdoor Attacks on Vision Transformers. - Akshayvarun Subramanya; Aniruddha Saha; Soroush Abbasi Koohpayegani; Ajinkya Tejankar; Hamed Pirsiavash (CoRR, 2022)

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. - Ajinkya Tejankar; Maziar Sanjabi; Qifan Wang 001; Sinong Wang; Hamed Firooz; Hamed Pirsiavash; Liang Tan 005 (CVPR, 2023)

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. - Akshayvarun Subramanya; Soroush Abbasi Koohpayegani; Aniruddha Saha; Ajinkya Tejankar; Hamed Pirsiavash (WACV, 2024)

MoIN: Mixture of Introvert Experts to Upcycle an LLM. - Ajinkya Tejankar; Navaneet K. L.; Ujjawal Panchal; Kossar Pourahmadi; Hamed Pirsiavash (CoRR, 2024)

Improving and Understanding Self-Supervised Learning Algorithms - Ajinkya Tejankar (2024)