Sohn, Jy-Yong

21 publications

AISTATS 2025 A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning Chungpa Lee, Jeongheon Oh, Kibok Lee, Jy-yong Sohn

TMLR 2025 Buffer-Based Gradient Projection for Continual Federated Learning Shenghong Dai, Jy-yong Sohn, Yicong Chen, S M Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee

NeurIPS 2025 Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions Jihoon Kwon, Kyle Min, Jy-yong Sohn

ICML 2025 Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Joonkyu Kim, Yejin Kim, Jy-Yong Sohn

ICML 2025 On the Similarities of Embeddings in Contrastive Learning Chungpa Lee, Sehee Lim, Kibok Lee, Jy-Yong Sohn

NeurIPS 2025 Soft Task-Aware Routing of Experts for Equivariant Representation Learning Jaebyeong Jeon, Hyeonseo Jang, Jy-yong Sohn, Kibok Lee

AISTATS 2024 Analysis of Using Sigmoid Loss for Contrastive Learning Chungpa Lee, Joonhwan Chang, Jy-yong Sohn

UAI 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee

TMLR 2024 Mini-Batch Optimization of Contrastive Loss Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

ICLRW 2024 Re-Ex: Revising After Explanation Reduces the Factual Errors in LLM Responses Juyeon Kim, Jeongeun Lee, YoonHo Chang, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn

AAAI 2023 Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo

ICLR 2023 Equal Improvability: A New Fairness Notion Considering the Long-Term Impact Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

ICML 2023 Looped Transformers as Programmable Computers Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos

ICLRW 2023 Looped Transformers as Programmable Computers Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos

ICLRW 2023 Mini-Batch Optimization of Contrastive Loss Kartik Sreenivasan, Keon Lee, Jeong-Gwan Lee, Anna Lee, Jaewoong Cho, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

AISTATS 2022 Finding Nearly Everything Within Random Binary Networks Kartik Sreenivasan, Shashank Rajput, Jy-Yong Sohn, Dimitris Papailiopoulos

ICML 2022 GenLabel: Mixup Relabeling Using Generative Models Jy-Yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris Papailiopoulos, Kangwook Lee

NeurIPS 2022 LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

NeurIPS 2022 Rare Gems: Finding Lottery Tickets at Initialization Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee, Dimitris Papailiopoulos

NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris Papailiopoulos

NeurIPS 2020 Election Coding for Distributed Learning: Protecting SignSGD Against Byzantine Attacks Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon