Jy-yong Sohn

Orcid: 0000-0002-8741-1405

According to our database1, Jy-yong Sohn authored at least 39 papers between 2017 and 2024.

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Bibliography

2024
Mini-Batch Optimization of Contrastive Loss.
Trans. Mach. Learn. Res., 2024

Buffer-based Gradient Projection for Continual Federated Learning.
CoRR, 2024

Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks.
CoRR, 2024

Improving Multi-lingual Alignment Through Soft Contrastive Learning.
CoRR, 2024

Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization.
CoRR, 2024

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses.
CoRR, 2024

Can Separators Improve Chain-of-Thought Prompting?
CoRR, 2024

Improving Multi-lingual Alignment Through Soft Contrastive Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Analysis of Using Sigmoid Loss for Contrastive Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023
Looped Transformers as Programmable Computers.
Proceedings of the International Conference on Machine Learning, 2023

Equal Improvability: A New Fairness Notion Considering the Long-term Impact.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Can We Find Strong Lottery Tickets in Generative Models?
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Rare Gems: Finding Lottery Tickets at Initialization.
CoRR, 2022

Rare Gems: Finding Lottery Tickets at Initialization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Breaking Fair Binary Classification with Optimal Flipping Attacks.
Proceedings of the IEEE International Symposium on Information Theory, 2022

GenLabel: Mixup Relabeling using Generative Models.
Proceedings of the International Conference on Machine Learning, 2022

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Finding Nearly Everything within Random Binary Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Coded Wireless Distributed Computing With Packet Losses and Retransmissions.
IEEE Trans. Wirel. Commun., 2021

Hierarchical Broadcast Coding: Expediting Distributed Learning at the Wireless Edge.
IEEE Trans. Wirel. Commun., 2021

Finding Everything within Random Binary Networks.
CoRR, 2021

TiBroco: A Fast and Secure Distributed Learning Framework for Tiered Wireless Edge Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Communication-Computation Efficient Secure Aggregation for Federated Learning.
CoRR, 2020

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Capacity of Clustered Distributed Storage.
IEEE Trans. Inf. Theory, 2019

Secure Clustered Distributed Storage Against Eavesdropping.
IEEE Trans. Inf. Theory, 2019

Coded Matrix Multiplication on a Group-Based Model.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Coded Distributed Computing over Packet Erasure Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Scalable Network-Coded PBFT Consensus Algorithm.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Combined Window-Filter Waveform Design With Transmitter-Side Channel State Information.
IEEE Trans. Veh. Technol., 2018

Explicit Construction of MBR Codes for Clustered Distributed Storage.
CoRR, 2018

A Class of MSR Codes for Clustered Distributed Storage.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Hierarchical Coding for Distributed Computing.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
On Reusing Pilots Among Interfering Cells in Massive MIMO.
IEEE Trans. Wirel. Commun., 2017

Pilot Reuse Strategy Maximizing the Weighted-Sum-Rate in Massive MIMO Systems.
IEEE J. Sel. Areas Commun., 2017

Secure clustered distributed storage against eavesdroppers.
Proceedings of the IEEE International Conference on Communications, 2017


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