Ajinkya Tejankar

21 papers A* 5A 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	A Closer Look at Robustness of Vision Transformers to Backdoor Attacks. WACV Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash
2024	—	`—`	Improving and Understanding Self-Supervised Learning Algorithms Ajinkya Tejankar
2024	J	`jnl`	MoIN: Mixture of Introvert Experts to Upcycle an LLM. CoRR Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash
2023	A*	`conf`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2022	A*	`conf`	Backdoor Attacks on Self-Supervised Learning. CVPR Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2022	J	`jnl`	Backdoor Attacks on Vision Transformers. CoRR Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2022	—	`conf`	Constrained Mean Shift Using Distant yet Related Neighbors for Representation Learning. ECCV (31) K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2022	J	`jnl`	SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. CoRR K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	J	`jnl`	A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021	J	`jnl`	Backdoor Attacks on Self-Supervised Learning. CoRR Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2021	J	`jnl`	Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, K. L. Navaneet, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash
2021	J	`jnl`	Constrained Mean Shift for Representation Learning. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash
2021	A*	`conf`	ISD: Self-Supervised Learning by Iterative Similarity Distillation. ICCV Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
2021	A*	`conf`	Mean Shift for Self-Supervised Learning. ICCV Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	J	`jnl`	Mean Shift for Self-Supervised Learning. CoRR Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2021	A	`conf`	Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation. BMVC K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2020	A*	`conf`	CompRess: Self-Supervised Learning by Compressing Representations. NeurIPS Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2020	J	`jnl`	CompRess: Self-Supervised Learning by Compressing Representations. CoRR Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
2020	J	`jnl`	ISD: Self-Supervised Learning by Iterative Similarity Distillation. CoRR Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash
2019	J	`jnl`	A simple baseline for domain adaptation using rotation prediction. CoRR Ajinkya Tejankar, Hamed Pirsiavash