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2020 – today
- 2024
[j8]Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee:
Mini-Batch Optimization of Contrastive Loss. Trans. Mach. Learn. Res. 2024 (2024)- [c22]Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. ClinicalNLP@NAACL 2024: 292-300 - [c21]Chungpa Lee, Joonhwan Chang, Jy-yong Sohn:
Analysis of Using Sigmoid Loss for Contrastive Learning. AISTATS 2024: 1747-1755 - [c20]Minsu Park, Seyeon Choi, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn:
Improving Multi-lingual Alignment Through Soft Contrastive Learning. NAACL (Student Research Workshop) 2024: 138-145 - [i31]Yoonjeong Park, Hyunjin Kim, Chanyeol Choi, Junseong Kim, Jy-yong Sohn:
Can Separators Improve Chain-of-Thought Prompting? CoRR abs/2402.10645 (2024) - [i30]Chungpa Lee, Joonhwan Chang, Jy-yong Sohn:
Analysis of Using Sigmoid Loss for Contrastive Learning. CoRR abs/2402.12613 (2024) - [i29]Juyeon Kim, Jeongeun Lee, Yoonho Chang, Chanyeol Choi, Junseong Kim, Jy-yong Sohn:
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses. CoRR abs/2402.17097 (2024) - [i28]Sehee Lim, Yejin Kim, Chi-Hyun Choi
, Jy-yong Sohn, Byung-Hoon Kim:
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. CoRR abs/2403.14255 (2024) - [i27]Jae-hee So, Joonhwan Chang, Eunji Kim, Junho Na, JiYeon Choi, Jy-yong Sohn, Byung-Hoon Kim, Sang Hui Chu:
Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization. CoRR abs/2403.17428 (2024) - [i26]Minsu Park, Seyeon Choi, Chanyeol Choi, Junseong Kim, Jy-yong Sohn:
Improving Multi-lingual Alignment Through Soft Contrastive Learning. CoRR abs/2405.16155 (2024) - [i25]Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee:
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. CoRR abs/2408.00359 (2024) - [i24]Shenghong Dai, Jy-yong Sohn, Yicong Chen, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee:
Buffer-based Gradient Projection for Continual Federated Learning. CoRR abs/2409.01585 (2024) - 2023
- [c19]Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023: 3267-3275 - [c18]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. ICLR 2023 - [c17]Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos:
Looped Transformers as Programmable Computers. ICML 2023: 11398-11442 - [i23]Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos:
Looped Transformers as Programmable Computers. CoRR abs/2301.13196 (2023) - [i22]Jaewoong Cho, Kartik Sreenivasan, Keon Lee, Kyunghoo Mun, Soheun Yi, Jeong-Gwan Lee, Anna Lee, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee:
Mini-Batch Optimization of Contrastive Loss. CoRR abs/2307.05906 (2023) - 2022
- [c16]Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos:
Finding Nearly Everything within Random Binary Networks. AISTATS 2022: 3531-3541 - [c15]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) 2022: 154-168 - [c14]Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee:
GenLabel: Mixup Relabeling using Generative Models. ICML 2022: 20278-20313 - [c13]Changhun Jo, Jy-yong Sohn, Kangwook Lee:
Breaking Fair Binary Classification with Optimal Flipping Attacks. ISIT 2022: 1453-1458 - [c12]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS 2022 - [c11]Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee, Dimitris S. Papailiopoulos:
Rare Gems: Finding Lottery Tickets at Initialization. NeurIPS 2022 - [i21]Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee:
GenLabel: Mixup Relabeling using Generative Models. CoRR abs/2201.02354 (2022) - [i20]Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Kangwook Lee, Dimitris S. Papailiopoulos:
Rare Gems: Finding Lottery Tickets at Initialization. CoRR abs/2202.12002 (2022) - [i19]Changhun Jo, Jy-yong Sohn, Kangwook Lee:
Breaking Fair Binary Classification with Optimal Flipping Attacks. CoRR abs/2204.05472 (2022) - [i18]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR abs/2205.11616 (2022) - [i17]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR abs/2206.06565 (2022) - [i16]Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee:
Equal Improvability: A New Fairness Notion Considering the Long-term Impact. CoRR abs/2210.06732 (2022) - [i15]Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? CoRR abs/2212.08311 (2022) - 2021
- [j7]Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge. IEEE Trans. Wirel. Commun. 20(4): 2266-2281 (2021) - [j6]Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
Coded Wireless Distributed Computing With Packet Losses and Retransmissions. IEEE Trans. Wirel. Commun. 20(12): 8204-8217 (2021) - [c10]Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks. INFOCOM 2021: 1-10 - [i14]Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos:
Finding Everything within Random Binary Networks. CoRR abs/2110.08996 (2021) - 2020
- [c9]Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon:
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. NeurIPS 2020 - [c8]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS 2020 - [i13]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR abs/2007.05084 (2020) - [i12]Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon:
Communication-Computation Efficient Secure Aggregation for Federated Learning. CoRR abs/2012.05433 (2020)
2010 – 2019
- 2019
- [j5]Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon:
Capacity of Clustered Distributed Storage. IEEE Trans. Inf. Theory 65(1): 81-107 (2019) - [j4]Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
Secure Clustered Distributed Storage Against Eavesdropping. IEEE Trans. Inf. Theory 65(11): 7646-7668 (2019) - [c7]Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
Coded Distributed Computing over Packet Erasure Channels. ISIT 2019: 717-721 - [c6]Muah Kim, Jy-yong Sohn, Jaekyun Moon:
Coded Matrix Multiplication on a Group-Based Model. ISIT 2019: 722-726 - [c5]Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon:
Scalable Network-Coded PBFT Consensus Algorithm. ISIT 2019: 857-861 - [i11]Dong-Jun Han, Jy-yong Sohn, Jaekyun Moon:
Coded Distributed Computing over Packet Erasure Channels. CoRR abs/1901.03610 (2019) - [i10]Muah Kim, Jy-yong Sohn, Jaekyun Moon:
Coded Matrix Multiplication on a Group-Based Model. CoRR abs/1901.05162 (2019) - [i9]Jy-yong Sohn, Dong-Jun Han, Beongjun Choi, Jaekyun Moon:
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks. CoRR abs/1910.06093 (2019) - 2018
- [j3]Dong-Jun Han, Jaekyun Moon, Jy-yong Sohn, Sunyoung Jo, Jang Hun Kim:
Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information. IEEE Trans. Veh. Technol. 67(9): 8959-8963 (2018) - [c4]Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon:
Hierarchical Coding for Distributed Computing. ISIT 2018: 1630-1634 - [c3]Jy-yong Sohn, Beongjun Choi, Jaekyun Moon:
A Class of MSR Codes for Clustered Distributed Storage. ISIT 2018: 2366-2370 - [i8]Jy-yong Sohn, Beongjun Choi, Jaekyun Moon:
A Class of MSR Codes for Clustered Distributed Storage. CoRR abs/1801.02014 (2018) - [i7]Jy-yong Sohn, Jaekyun Moon:
Explicit Construction of MBR Codes for Clustered Distributed Storage. CoRR abs/1801.02287 (2018) - [i6]Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon:
Hierarchical Coding for Distributed Computing. CoRR abs/1801.04686 (2018) - 2017
- [j2]Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems. IEEE J. Sel. Areas Commun. 35(8): 1728-1740 (2017) - [j1]Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
On Reusing Pilots Among Interfering Cells in Massive MIMO. IEEE Trans. Wirel. Commun. 16(12): 8092-8104 (2017) - [c2]Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
Secure clustered distributed storage against eavesdroppers. ICC 2017: 1-6 - [c1]Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon:
Capacity of clustered distributed storage. ICC 2017: 1-7 - [i5]Beongjun Choi, Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
Secure Clustered Distributed Storage Against Eavesdroppers. CoRR abs/1702.07498 (2017) - [i4]Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems. CoRR abs/1705.01061 (2017) - [i3]Jy-yong Sohn, Sung Whan Yoon, Jaekyun Moon:
On Reusing Pilots Among Interfering Cells in Massive MIMO. CoRR abs/1710.02811 (2017) - [i2]Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon:
Capacity of Clustered Distributed Storage. CoRR abs/1710.02821 (2017) - 2016
- [i1]Jy-yong Sohn, Beongjun Choi, Sung Whan Yoon, Jaekyun Moon:
Capacity of Clustered Distributed Storage. CoRR abs/1610.04498 (2016)
Coauthor Index
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