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Jaehong Yoon
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2020 – today
- 2024
- [c23]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) 2024: 416-442 - [c22]Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao:
Multimodal Representation Learning by Alternating Unimodal Adaptation. CVPR 2024: 27446-27456 - [c21]Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo:
Progressive Fourier Neural Representation for Sequential Video Compilation. ICLR 2024 - [c20]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR 2024 - [c19]Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao:
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. ICLR 2024 - [c18]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens. ICML 2024 - [c17]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. ICML 2024 - [c16]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment. ICML 2024 - [c15]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun:
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. NAACL-HLT 2024: 5401-5415 - [i33]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR abs/2401.10529 (2024) - [i32]Shoubin Yu, Jaehong Yoon, Mohit Bansal:
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion. CoRR abs/2402.05889 (2024) - [i31]Daeun Lee, Jaehong Yoon, Sung Ju Hwang:
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation. CoRR abs/2402.08712 (2024) - [i30]Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR abs/2403.06952 (2024) - [i29]Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal:
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR abs/2403.12014 (2024) - [i28]Jaehong Yoon, Shoubin Yu, Mohit Bansal:
RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives. CoRR abs/2405.18406 (2024) - [i27]Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal:
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. CoRR abs/2405.19209 (2024) - [i26]Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen:
Glider: Global and Local Instruction-Driven Expert Router. CoRR abs/2410.07172 (2024) - [i25]Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal:
Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection. CoRR abs/2410.10636 (2024) - [i24]Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal:
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. CoRR abs/2410.12761 (2024) - 2023
- [c14]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023: 23195-23205 - [c13]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-Shot Class Incremental Learning. ICLR 2023 - [c12]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. ICML 2023: 1396-1415 - [c11]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. ICML 2023: 40129-40146 - [i23]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Soft-Winning SubNetworks. CoRR abs/2303.14962 (2023) - [i22]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha
, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR abs/2304.01515 (2023) - [i21]Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Progressive Neural Representation for Sequential Video Compilation. CoRR abs/2306.11305 (2023) - [i20]Jaehong Yoon, Sung Ju Hwang, Yue Cao:
Continual Learners are Incremental Model Generalizers. CoRR abs/2306.12026 (2023) - [i19]Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao:
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. CoRR abs/2310.00754 (2023) - [i18]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. CoRR abs/2310.02998 (2023) - [i17]Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang:
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment. CoRR abs/2310.08204 (2023) - [i16]Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun:
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. CoRR abs/2311.08106 (2023) - [i15]Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao:
Multimodal Representation Learning by Alternating Unimodal Adaptation. CoRR abs/2311.10707 (2023) - [i14]Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo:
Continual Learning: Forget-free Winning Subnetworks for Video Representations. CoRR abs/2312.11973 (2023) - 2022
- [c10]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation. ECCV Workshops (7) 2022: 50-66 - [c9]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Representational Continuity for Unsupervised Continual Learning. ICLR 2022 - [c8]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR 2022 - [c7]Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo:
Forget-free Continual Learning with Winning Subnetworks. ICML 2022: 10734-10750 - [c6]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. ICML 2022: 25552-25565 - [i13]Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang:
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization. CoRR abs/2202.11453 (2022) - [i12]Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang:
Personalized Subgraph Federated Learning. CoRR abs/2206.10206 (2022) - [i11]Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar:
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation. CoRR abs/2207.01394 (2022) - [i10]Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo:
On the Soft-Subnetwork for Few-shot Class Incremental Learning. CoRR abs/2209.07529 (2022) - [i9]Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang:
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection. CoRR abs/2211.10636 (2022) - 2021
- [c5]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR 2021 - [c4]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Weighted Inter-client Transfer. ICML 2021: 12073-12086 - [i8]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR abs/2106.01085 (2021) - [i7]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR abs/2110.06976 (2021) - 2020
- [c3]Jaehong Yoon
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [i6]Jaehong Yoon
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i5]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i4]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020)
2010 – 2019
- 2019
- [i3]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - 2018
- [j1]Jaehong Yoon
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network. Comput. Intell. Neurosci. 2018: 6058065:1-6058065:11 (2018) - [c2]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [i2]Juho Lee, Saehoon Kim, Jaehong Yoon
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - 2017
- [c1]Jaehong Yoon, Sung Ju Hwang:
Combined Group and Exclusive Sparsity for Deep Neural Networks. ICML 2017: 3958-3966 - [i1]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017)
Coauthor Index
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last updated on 2024-11-26 20:41 CET by the dblp team
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