Jaehong Yoon

According to our database, Jaehong Yoon authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents.

Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal

CoRR, 2024

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data.

Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

CoRR, 2024

BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.

Daeun Lee, Jaehong Yoon, Sung Ju Hwang

CoRR, 2024

CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion.

Shoubin Yu, Jaehong Yoon, Mohit Bansal

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

CoRR, 2024

2023

Continual Learning: Forget-free Winning Subnetworks for Video Representations.

Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo

CoRR, 2023

Multimodal Representation Learning by Alternating Unimodal Adaptation.

Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao

CoRR, 2023

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models.

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun

CoRR, 2023

Lifelong Audio-video Masked Autoencoder with Forget-robust Localized Alignments.

Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

CoRR, 2023

ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models.

Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

CoRR, 2023

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao

CoRR, 2023

Progressive Neural Representation for Sequential Video Compilation.

Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo

CoRR, 2023

Forget-free Continual Learning with Soft-Winning SubNetworks.

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

CoRR, 2023

Continual Learners are Incremental Model Generalizers.

Jaehong Yoon, Sung Ju Hwang, Yue Cao

Proceedings of the International Conference on Machine Learning, 2023

Personalized Subgraph Federated Learning.

Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2023

On the Soft-Subnetwork for Few-Shot Class Incremental Learning.

Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.

Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection.

Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang

CoRR, 2022

Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization.

Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang

Proceedings of the International Conference on Machine Learning, 2022

Forget-free Continual Learning with Winning Subnetworks.

Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo

Proceedings of the International Conference on Machine Learning, 2022

Online Coreset Selection for Rehearsal-based Continual Learning.

Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Representational Continuity for Unsupervised Continual Learning.

Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

Proceedings of the Tenth International Conference on Learning Representations, 2022

BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation.

Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

CoRR, 2021

Federated Continual Learning with Weighted Inter-client Transfer.

Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

Proceedings of the 38th International Conference on Machine Learning, 2021

Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.

Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning.

Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

CoRR, 2020

Federated Semi-Supervised Learning with Inter-Client Consistency.

Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

CoRR, 2020

Federated Continual Learning with Adaptive Parameter Communication.

Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

CoRR, 2020

Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.

Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

ORACLE: Order Robust Adaptive Continual LEarning.

Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

CoRR, 2019

2018

Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.

Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang

CoRR, 2018

Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

Jaehong Yoon, Jungnyun Lee, Mincheol Whang

Comput. Intell. Neurosci., 2018

Lifelong Learning with Dynamically Expandable Networks.

Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Combined Group and Exclusive Sparsity for Deep Neural Networks.

Jaehong Yoon, Sung Ju Hwang

Proceedings of the 34th International Conference on Machine Learning, 2017