Aniket Rege

PhD Student, University

of Wisconsin-Madison

I’m a Ph.D student in Computer Sciences at the University of Wisconsin-Madison, where I spend most of time thinking about heterogeneous and diverse preference learning for generative models and multimodal retrieval for long-horizon agentic reasoning. I am fortunate to be jointly advised by Ramya Vinayak and Yong Jae Lee.

Previously, I was an masters student at the University of Washington, Seattle where I worked with the RAIVN Lab advised by Prof. Ali Farhadi and mentored by Aditya Kusupati. My MS research focused on large-scale efficient and deployable machine learning (Matryoshka), visual representation learning, and web-scale search. I was research scientist intern from May - Dec ‘25 at Meta Reality Labs, working on long horizon reasoning for video understanding under Hyo Jin Kim and Yuning Chai.

I am also generally interested in computer vision, information retrieval, efficient+deployable ML, and personalization for generative models. If you are an undergrad or masters student interested in working with me, send me an email (I’ll do my best to reply)!

Reach me: aniketr[at]cs[dot]wisc[dot]edu

news

Apr 6, 2026	EGAgent from my internship at Meta Reality Labs is accepted at ACL ‘26 Main Conference! See you in San Diego ☀️
May 10, 2025	⚕️CuRe is accepted as an oral at CVPR DemoDiv workshop! Update (06/25): CuRe is accepted at ICCV 2025!
Jun 18, 2024	PAL is accepted at ICML workshops: TF2M and MHFAIA (oral)! Update (01/22/2025): PAL is accepted at ICLR 2025!
Apr 29, 2024	I gave an hour-long talk about Matryoshka Representation Learning at UW-Madison’s MLOPT Idea Seminar!
Feb 7, 2024	I published a beginner-friendly blog about MRL following OpenAI’s training their new Matryoshka embedding models!

selected publications

ACL

Agentic Very Long Video Understanding

Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, and Hyo Jin Kim

In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026

arXiv Bib Blog Code

@inproceedings{rege2025agentic,
  title = {Agentic Very Long Video Understanding},
  author = {Rege, Aniket and Sadhu, Arka and Li, Yuliang and Li, Kejie and Korlakai Vinayak, Ramya and Chai, Yuning and Lee, Yong Jae and Kim, Hyo Jin},
  booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2026},
}

ICCV

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems

Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati†, Yong Jae Lee†, and Ramya Korlakai Vinayak†

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025

arXiv Bib Blog Code

@inproceedings{rege2025cure,
  title = {CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems},
  author = {Rege, Aniket and Nie, Zinnia and Ramesh, Mahesh and Raskar, Unmesh and Yu, Zhuoran and Kusupati†, Aditya and Lee†, Yong Jae and Korlakai Vinayak†, Ramya},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year = {2025},
}

ICLR

PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment

Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, and Ramya Korlakai Vinayak

In The Thirteenth International Conference on Learning Representations (ICLR), 2025

arXiv Bib Blog Code

@inproceedings{chen2025pal,
  title = {PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment},
  author = {Chen, Daiwei and Chen, Yi and Rege, Aniket and Wang, Zhi and Korlakai Vinayak, Ramya},
  booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
  year = {2025},
}

NeurIPS

Matryoshka Representation Learning

Aniket Rege*, Aditya Kusupati*, Gantavya Bhatt*, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, and Ali Farhadi

In Advances in Neural Information Processing Systems (NeurIPS), 2022

arXiv Bib Blog Code

@inproceedings{kusupati2022matryoshka,
  title = {Matryoshka Representation Learning},
  author = {Rege*, Aniket and Kusupati*, Aditya and Bhatt*, Gantavya and Wallingford, Matthew and Sinha, Aditya and Ramanujan, Vivek and Howard-Snyder, William and Chen, Kaifeng and Kakade, Sham and Jain, Prateek and Farhadi, Ali},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  google_scholar_id = {IjCSPb-OGe4C},
}