Ajinkya Tejankar

According to our database, Ajinkya Tejankar authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving and Understanding Self-Supervised Learning Algorithms

Ajinkya Tejankar

PhD thesis, 2024

MoIN: Mixture of Introvert Experts to Upcycle an LLM.

Ajinkya Tejankar, Navaneet K. L., Ujjawal Panchal, Kossar Pourahmadi, Hamed Pirsiavash

CoRR, 2024

A Closer Look at Robustness of Vision Transformers to Backdoor Attacks.

Akshayvarun Subramanya, Soroush Abbasi Koohpayegani, Aniruddha Saha, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Backdoor Attacks on Vision Transformers.

Akshayvarun Subramanya, Aniruddha Saha, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 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

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Backdoor Attacks on Self-Supervised Learning.

Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Constrained Mean Shift for Representation Learning.

Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash

CoRR, 2021

ISD: Self-Supervised Learning by Iterative Similarity Distillation.

Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mean Shift for Self-Supervised Learning.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation.

K. L. Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

CompRess: Self-Supervised Learning by Compressing Representations.

Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A simple baseline for domain adaptation using rotation prediction.

Ajinkya Tejankar, Hamed Pirsiavash

CoRR, 2019