Yoon, Jaehong

31 publications

ICLR 2025 Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal

ICLR 2025 CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion Shoubin Yu, Jaehong Yoon, Mohit Bansal

TMLR 2025 Reliable and Responsible Foundation Models 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 McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

ICLR 2025 SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image and Video Generation Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal

CVPR 2025 VideoTree: Adaptive Tree-Based Video Representation for LLM Reasoning on Long Videos Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal

ICLR 2024 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

ICML 2024 BECoTTA: Input-Dependent Online Blending of Experts for Continual Test-Time Adaptation Daeun Lee, Jaehong Yoon, Sung Ju Hwang

ICLR 2024 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

ICML 2024 EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens Sunil Hwang, Jaehong Yoon, Youngwan Lee, Sung Ju Hwang

CVPR 2024 Multimodal Representation Learning by Alternating Unimodal Adaptation Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao

ICLR 2024 Progressive Fourier Neural Representation for Sequential Video Compilation Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang D. Yoo

NeurIPSW 2024 RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives Jaehong Yoon, Shoubin Yu, Mohit Bansal

NeurIPS 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

ICML 2024 STELLA: Continual Audio-Video Pre-Training with SpatioTemporal Localized Alignment Jaewoo Lee, Jaehong Yoon, Wonjae Kim, Yunji Kim, Sung Ju Hwang

NeurIPSW 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

NeurIPSW 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

ICML 2023 Continual Learners Are Incremental Model Generalizers Jaehong Yoon, Sung Ju Hwang, Yue Cao

ICLR 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

ICML 2023 Personalized Subgraph Federated Learning Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang

ICCV 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

ECCVW 2022 BiTAT: Neural Network Binarization with Task-Dependent Aggregated Transformation Geon Park, Jaehong Yoon, Haiyang Zhang, Xing Zhang, Sung Ju Hwang, Yonina C. Eldar

ICML 2022 Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon, Geon Park, Wonyong Jeong, Sung Ju Hwang

ICML 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

ICLR 2022 Online Coreset Selection for Rehearsal-Based Continual Learning Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang

ICLR 2022 Representational Continuity for Unsupervised Continual Learning Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

ICML 2021 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

ICLR 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang

ICMLW 2020 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang

ICLR 2020 Scalable and Order-Robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang

ICLR 2018 Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang

ICML 2017 Combined Group and Exclusive Sparsity for Deep Neural Networks Jaehong Yoon, Sung Ju Hwang