Arjun Seshadri

16 papers A* 6Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings.
KDD (2)
David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2024 A* conf
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
NeurIPS
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024 J jnl
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.
CoRR
Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
2024 — conf
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models.
ECCV (63)
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024 J jnl
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models.
CoRR
Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
2024 J jnl
Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings.
CoRR
David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander
2023 A* conf
HandsOff: Labeled Dataset Generation With No Additional Human Annotations.
CVPR
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
2023 J jnl
Learning Rich Rankings.
CoRR
Arjun Seshadri, Stephen Ragain, Johan Ugander
2023 A* conf
Rank-heterogeneous Preference Models for School Choice.
KDD
Amel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander
2022 J jnl
Contrastive Learning for Interactive Recommendation in Fashion.
CoRR
Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gérard G. Medioni
2022 J jnl
HandsOff: Labeled Dataset Generation With No Additional Human Annotations.
CoRR
Austin Xu, Mariya I. Vasileva, Achal Dave, Arjun Seshadri
2022 J jnl
RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems.
CoRR
Sahil Verma, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri
2020 A* conf
Learning Rich Rankings.
NeurIPS
Arjun Seshadri, Stephen Ragain, Johan Ugander
2019 A* conf
Discovering Context Effects from Raw Choice Data.
ICML
Arjun Seshadri, Alex Peysakhovich, Johan Ugander
2019 J jnl
Discovering Context Effects from Raw Choice Data.
CoRR
Arjun Seshadri, Alexander Peysakhovich, Johan Ugander
2019 A* conf
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice.
EC
Arjun Seshadri, Johan Ugander