Arjun Seshadri

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Diffusion Model

Manually Labeled

Mechanical Turk

Fundamental Limits

Top Venues

Publications

Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR (2024)
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR (2024)
David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings. CoRR (2024)
Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander
Rank-heterogeneous Preference Models for School Choice. KDD (2023)
Arjun Seshadri, Stephen Ragain, Johan Ugander
Learning Rich Rankings. CoRR (2023)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CVPR (2023)
Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gerard Medioni
Contrastive Learning for Interactive Recommendation in Fashion. CoRR (2022)
Sahil Verma, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri
RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems. CoRR (2022)
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
HandsOff: Labeled Dataset Generation With No Additional Human Annotations. CoRR (2022)
Arjun Seshadri, Stephen Ragain, Johan Ugander
Learning Rich Rankings. NeurIPS (2020)
Arjun Seshadri, Johan Ugander
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice. EC (2019)
Arjun Seshadri, Alexander Peysakhovich, Johan Ugander
Discovering Context Effects from Raw Choice Data. CoRR (2019)
Arjun Seshadri, Alex Peysakhovich, Johan Ugander
Discovering Context Effects from Raw Choice Data. ICML (2019)