Ha, Jung-Woo

33 publications

ICLR 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-Trained LLMs Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

NeurIPS 2024 Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo

ICLR 2024 SuRe: Summarizing Retrievals Using Answer Candidates for Open-Domain QA of LLMs Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin

ICCV 2023 Dense Text-to-Image Generation with Attention Modulation Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu

ICLR 2023 Online Boundary-Free Continual Learning by Scheduled Data Prior Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi

ICLR 2023 Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, Jaesik Choi

AAAI 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim

ICLR 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang

NeurIPS 2023 Switching Temporary Teachers for Semi-Supervised Semantic Segmentation Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun 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

ICLR 2022 Contrastive Fine-Grained Class Clustering via Generative Adversarial Networks Yunji Kim, Jung-Woo Ha

ICML 2022 Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song

NeurIPSW 2022 Fine-Tuning Diffusion Models with Limited Data Taehong Moon, Moonseok Choi, Gayoung Lee, Jung-Woo Ha, Juho Lee

ICLR 2022 Generating Videos with Dynamics-Aware Implicit Generative Adversarial Networks Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin

ECCV 2022 Generator Knows What Discriminator Should Learn in Unconditional GANs Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi

ECCV 2022 K-Centered Patch Sampling for Efficient Video Recognition Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin

NeurIPS 2022 On Divergence Measures for Bayesian Pseudocoresets Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee

ICLR 2022 Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi

CVPR 2022 Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi

ICML 2022 Time Is MattEr: Temporal Self-Supervision for Video Transformers Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin

ICLR 2021 AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-Invariant Weights Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha

AAAI 2021 DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha

NeurIPS 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks Hyeonjin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J Kim

CVPR 2021 Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, Jonghyun Choi

NeurIPS 2020 Self-Supervised Auxiliary Learning with Meta-Paths for Heterogeneous Graphs Dasol Hwang, Jinyoung Park, Sunyoung Kwon, KyungMin Kim, Jung-Woo Ha, Hyunwoo J Kim

ICLR 2019 DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim

ICLR 2019 Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha

AAAI 2019 Paraphrase Diversification Using Counterfactual Debiasing Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim

ICLR 2019 Phase-Aware Speech Enhancement with Deep Complex U-Net Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh, Adrian Kim, Jung-Woo Ha, Kyogu Lee

CVPR 2017 Dual Attention Networks for Multimodal Reasoning and Matching Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim

ICLR 2017 Hadamard Product for Low-Rank Bilinear Pooling Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang

NeurIPS 2017 Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang

NeurIPS 2016 Multimodal Residual Learning for Visual QA Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang