Jaehong Yoon

97 papers A* 29C 2Journal 59Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories.
CoRR
Zun Wang, Han Lin, Jaehong Yoon, Jaemin Cho, Yue Zhang, Mohit Bansal
2026 J jnl
Are Video Reasoning Models Ready to Go Outside?
CoRR
Yangfan He, Changgyu Boo, Jaehong Yoon
2026 J jnl
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation.
CoRR
Taekyung Ki, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Sung Ju Hwang
2026 — conf
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning.
EACL (Volume 1: Long Papers)
Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal
2026 A* conf
DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation.
AAAI
Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal
2026 J jnl
Enhanced Thermal-Only Object Detection via LoRA-Guided Thermal-to-Visible Translation and Cross-Modal Distillation.
IEEE Access
Jaehong Yoon, Chanyeong Park, Joonki Paik
2026 C conf
GGA: Gradient-Guided Augmentation for Robust Object Detection under Domain Shift.
ICCE
Eunseon Lee, Jaehong Yoon, Minju Baek, Joonki Paik
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2026 J jnl
Self-Refining Video Sampling.
CoRR
Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Saining Xie, Jaehong Yoon, Sung Ju Hwang
2026 A* conf
Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System.
AAAI
Jaehong Yoon
2026 J jnl
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning.
CoRR
Shoubin Yu, Yue Zhang, Zun Wang, Jaehong Yoon, Huaxiu Yao, Mingyu Ding, Mohit Bansal
2025 A* conf
Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection.
ICLR
Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
2025 A* conf
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion.
ICLR
Shoubin Yu, Jaehong Yoon, Mohit Bansal
2025 J jnl
Continual Learning: Forget-Free Winning Subnetworks for Video Representations.
IEEE Trans. Pattern Anal. Mach. Intell.
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2025 J jnl
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning.
CoRR
Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance.
CoRR
Zun Wang, Jaemin Cho, Jialu Li, Han Lin, Jaehong Yoon, Yue Zhang, Mohit Bansal
2025 C conf
Enhancing Thermal Infrared Object Detection Using SimAM-Integrated YOLOX for Improved Feature Representation.
ICCE
Jaehong Yoon, Heegwang Kim, Chanyeong Park, Junbo Jang, Jiyoon Lee, Joonki Paik
2025 J jnl
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models.
CoRR
Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang
2025 A* conf
Glider: Global and Local Instruction-Driven Expert Router.
EMNLP
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2025 — conf
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation.
EMNLP (Findings)
Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal
2025 J jnl
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation.
CoRR
Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal
2025 J jnl
MedForget: Hierarchy-Aware Multimodal Unlearning Testbed for Medical AI.
CoRR
Fengli Wu, Vaidehi Patil, Jaehong Yoon, Yue Zhang, Mohit Bansal
2025 J jnl
Movie Facts and Fibs (MF
CoRR
Emmanouil Zaranis, António Farinhas, Saul José Rodrigues dos Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Belén Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
Planning with Sketch-Guided Verification for Physics-Aware Video Generation.
CoRR
Yidong Huang, Zun Wang, Han Lin, Dong-Ki Kim, Shayegan Omidshafiei, Jaehong Yoon, Yue Zhang, Mohit Bansal
2025 A* conf
RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives.
EMNLP
Jaehong Yoon, Shoubin Yu, Mohit Bansal
2025 J jnl
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs.
CoRR
Yi-Lin Sung, Prateek Yadav, Jialu Li, Jaehong Yoon, Mohit Bansal
2025 J jnl
Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
CoRR
Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025 A* conf
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.
ICLR
Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal
2025 J jnl
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization.
CoRR
Jialu Li, Shoubin Yu, Han Lin, Jaemin Cho, Jaehong Yoon, Mohit Bansal
2025 A* conf
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning.
EMNLP
Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal
2025 J jnl
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning.
CoRR
Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal
2025 — conf
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning.
EMNLP (Findings)
Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal
2025 J jnl
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning.
CoRR
Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal
2025 A* conf
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.
CVPR
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
2025 J jnl
WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning.
CoRR
Woongyeong Yeo, Kangsan Kim, Jaehong Yoon, Sung Ju Hwang
2024 J jnl
Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection.
CoRR
Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal
2024 A* conf
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.
ICLR
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
2024 A* conf
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.
ICML
Daeun Lee, Jaehong Yoon, Sung Ju Hwang
2024 J jnl
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation.
CoRR
Daeun Lee, Jaehong Yoon, Sung Ju Hwang
2024 J jnl
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion.
CoRR
Shoubin Yu, Jaehong Yoon, Mohit Bansal
2024 — conf
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models.
NAACL-HLT
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun
2024 J jnl
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation.
CoRR
Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal
2024 A* conf
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models.
ICLR
Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024 A* conf
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens.
ICML
Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang
2024 J jnl
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents.
CoRR
Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal
2024 J jnl
Glider: Global and Local Instruction-Driven Expert Router.
CoRR
Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen
2024 — conf
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
ACL (1)
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
2024 J jnl
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
CoRR
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
2024 A* conf
Multimodal Representation Learning by Alternating Unimodal Adaptation.
CVPR
Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao
2024 A* conf
Progressive Fourier Neural Representation for Sequential Video Compilation.
ICLR
Haeyong Kang, Jaehong Yoon, Dahyun Kim, Sung Ju Hwang, Chang D. Yoo
2024 J jnl
RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives.
CoRR
Jaehong Yoon, Shoubin Yu, Mohit Bansal
2024 J jnl
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.
CoRR
Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal
2024 A* conf
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data.
NeurIPS
Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024 J jnl
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data.
CoRR
Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2024 A* conf
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment.
ICML
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
2024 J jnl
VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement.
CoRR
Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal
2024 J jnl
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.
CoRR
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
2023 J jnl
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.
CoRR
Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
2023 J jnl
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models.
CoRR
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-Young Yun
2023 A* conf
Continual Learners are Incremental Model Generalizers.
ICML
Jaehong Yoon, Sung Ju Hwang, Yue Cao
2023 J jnl
Continual Learners are Incremental Model Generalizers.
CoRR
Jaehong Yoon, Sung Ju Hwang, Yue Cao
2023 J jnl
Continual Learning: Forget-free Winning Subnetworks for Video Representations.
CoRR
Haeyong Kang, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models.
CoRR
Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
2023 J jnl
Forget-free Continual Learning with Soft-Winning SubNetworks.
CoRR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
Multimodal Representation Learning by Alternating Unimodal Adaptation.
CoRR
Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao
2023 A* conf
On the Soft-Subnetwork for Few-Shot Class Incremental Learning.
ICLR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2023 A* conf
Personalized Subgraph Federated Learning.
ICML
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
2023 J jnl
Progressive Neural Representation for Sequential Video Compilation.
CoRR
Haeyong Kang, Dahyun Kim, Jaehong Yoon, Sung Ju Hwang, Chang D. Yoo
2023 J jnl
STELLA: Continual Audio-Video Pre-training with Spatio-Temporal Localized Alignment.
CoRR
Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang
2023 A* conf
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.
ICCV
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
2023 J jnl
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models.
CoRR
Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang
2022 — conf
BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation.
ECCV Workshops (7)
Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
2022 J jnl
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation.
CoRR
Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar
2022 A* conf
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization.
ICML
Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
2022 J jnl
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization.
CoRR
Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang
2022 J jnl
Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection.
CoRR
Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang
2022 A* conf
Forget-free Continual Learning with Winning Subnetworks.
ICML
Haeyong Kang, Rusty John Lloyd Mina, Sultan Rizky Hikmawan Madjid, Jaehong Yoon, Mark Hasegawa-Johnson, Sung Ju Hwang, Chang D. Yoo
2022 J jnl
On the Soft-Subnetwork for Few-shot Class Incremental Learning.
CoRR
Haeyong Kang, Jaehong Yoon, Sultan Rizky Hikmawan Madjid, Sung Ju Hwang, Chang D. Yoo
2022 A* conf
Online Coreset Selection for Rehearsal-based Continual Learning.
ICLR
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2022 J jnl
Personalized Subgraph Federated Learning.
CoRR
Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang
2022 A* conf
Representational Continuity for Unsupervised Continual Learning.
ICLR
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
2021 A* conf
Federated Continual Learning with Weighted Inter-client Transfer.
ICML
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2021 A* conf
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning.
ICLR
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2021 J jnl
Online Coreset Selection for Rehearsal-based Continual Learning.
CoRR
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
2021 J jnl
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.
CoRR
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
2020 J jnl
Federated Continual Learning with Adaptive Parameter Communication.
CoRR
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
2020 J jnl
Federated Semi-Supervised Learning with Inter-Client Consistency.
CoRR
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020 J jnl
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning.
CoRR
Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
2020 A* conf
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition.
ICLR
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2019 J jnl
ORACLE: Order Robust Adaptive Continual LEarning.
CoRR
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
2018 J jnl
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout.
CoRR
Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang
2018 — conf
Lifelong Learning with Dynamically Expandable Networks.
ICLR (Poster)
Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
2018 J jnl
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.
Comput. Intell. Neurosci.
Jaehong Yoon, Jungnyun Lee, Mincheol Whang
2017 A* conf
Combined Group and Exclusive Sparsity for Deep Neural Networks.
ICML
Jaehong Yoon, Sung Ju Hwang
2017 J jnl
Lifelong Learning with Dynamically Expandable Networks.
CoRR
Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang