Jung-Woo Ha

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 75

Top Topics

Weakly Supervised

Learning Platform

Question Answering

Top Venues

Appl. Soft Comput.

Publications

Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. CoRR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. ICLR (2024)
Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. CoRR (2024)
Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. ICLR (2024)
Dongjun Hwang, Jung-Woo Ha, Hyunjung Shim, Junsuk Choe
Entropy regularization for weakly supervised object localization. Pattern Recognit. Lett. 169 (2023)
Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. NeurIPS (2023)
Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. CoRR (2023)
Kyuyong Shin, Hanock Kwak, Su Young Kim, Max Nihlén Ramström, Jisu Jeong, Jung-Woo Ha, Kyung-Min Kim
Scaling Law for Recommendation Models: Towards General-Purpose User Representations. AAAI (2023)
Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning. ICLR (2023)
Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi
Online Boundary-Free Continual Learning by Scheduled Data Prior. ICLR (2023)
Kyuyong Shin, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyungmin Kim, Jung-Woo Ha, Sang-Woo Lee
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning. ACL (1) (2023)
Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation. CoRR (2023)
Jiyeon Han, Hwanil Choi, Yunjey Choi, Junho Kim, Jung-Woo Ha, Jaesik Choi
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images. ICLR (2023)
Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CoRR (2022)
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. ICLR (2022)
Yeon Seonwoo, Juhee Son, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Two-Step Question Retrieval for Open-Domain QA. CoRR (2022)
Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR (2022)
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
On Divergence Measures for Bayesian Pseudocoresets. CoRR (2022)
Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin
K-centered Patch Sampling for Efficient Video Recognition. ECCV (35) (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML (2022)
Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. CVPR (2022)
Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi
Generator Knows What Discriminator Should Learn in Unconditional GANs. ECCV (17) (2022)
Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) (2022)
Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha
Continuous Decomposition of Granularity for Neural Paraphrase Generation. CoRR (2022)
Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi
Generator Knows What Discriminator Should Learn in Unconditional GANs. CoRR (2022)
Yeon Seonwoo, Juhee Son, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Two-Step Question Retrieval for Open-Domain QA. ACL (Findings) (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR (2022)
Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. ICLR (2022)
Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR (2022)
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR (2022)
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
On Divergence Measures for Bayesian Pseudocoresets. NeurIPS (2022)
Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML (2022)
Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang
M2FN: Multi-step Modality Fusion for Advertisement Image Assessment. CoRR (2021)
Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha
St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding. ICASSP (2021)
Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116 (2021)
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Youngsook Song, Tae Hwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho
KLUE: Korean Language Understanding Evaluation. NeurIPS Datasets and Benchmarks (2021)
Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Weakly Supervised Pre-Training for Multi-Hop Retriever. ACL/IJCNLP (Findings) (2021)
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won-Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Tae Hwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Eunjeong Lucy Park, Alice Oh, Jung-Woo Ha, Kyunghyun Cho
KLUE: Korean Language Understanding Evaluation. CoRR (2021)
Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Weakly Supervised Pre-Training for Multi-Hop Retriever. CoRR (2021)
Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference. CoRR (2021)
Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS (2021)
Jihwan Bang, Heesu Kim, Young Joon Yoo, Jung-Woo Ha, Jonghyun Choi
Rainbow Memory: Continual Learning with a Memory of Diverse Samples. CoRR (2021)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi
Rainbow Memory: Continual Learning With a Memory of Diverse Samples. CVPR (2021)
Kyung-Wha Park, Jung-Woo Ha, Junghoon Lee, Sunyoung Kwon, Kyung-Min Kim, Byoung-Tak Zhang
M2FN: Multi-step modality fusion for advertisement image assessment. Appl. Soft Comput. 103 (2021)
Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Learning Augmentation for GNNs With Consistency Regularization. IEEE Access 9 (2021)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. CoRR (2021)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR (2021)
Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon
Graphs, Entities, and Step Mixture for Enriching Graph Representation. IEEE Access 9 (2021)
Jung-Woo Ha, Kihyun Nam, Jin-Gu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Eunmi Kim, Hyeji Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Sunghun Kim
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. CoRR (2020)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. CoRR (2020)
Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS (2020)
Wonyoung Shin, Jung-Woo Ha, Shengzhe Li, Yongwoo Cho, Hoyean Song, Sunyoung Kwon
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty. CoRR (2020)
Kyuyong Shin, Wonyoung Shin, Jung-Woo Ha, Sunyoung Kwon
Graphs, Entities, and Step Mixture. CoRR (2020)
Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha
Efficient Active Learning for Automatic Speech Recognition via Augmented Consistency Regularization. CoRR (2020)
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR (2020)
Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Seongjae Choi, SeungTae Hwang, Eun-Young Park, Gwang-Ja Ma, Seok-Joo Han, Kwang-Seung Cha, Nako Sung, Jung-Woo Ha
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic. CoRR (2020)
Minjeong Kim, Gyuwan Kim, Sang-Woo Lee, Jung-Woo Ha
ST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding. CoRR (2020)
Jung-Woo Ha, Kihyun Nam, Jingu Kang, Sang-Woo Lee, Sohee Yang, Hyunhoon Jung, Hyeji Kim, Eunmi Kim, Soojin Kim, Hyun Ah Kim, Kyoungtae Doh, Chan Kyu Lee, Nako Sung, Sunghun Kim
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers. INTERSPEECH (2020)
Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Context-Aware Answer Extraction in Question Answering. CoRR (2020)
Yeon Seonwoo, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh
Context-Aware Answer Extraction in Question Answering. EMNLP (1) (2020)
Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang
Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH Asia Technical Briefs (2019)
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. CoRR (2019)
Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. CoRR (2019)
Young Joon Yoo, Sanghyuk Chun, Sangdoo Yun, Jung-Woo Ha, Jaejun Yoo
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling. CoRR (2019)
Sang-Woo Lee, Tong Gao, Sohee Yang, Jaejun Yoo, Jung-Woo Ha
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation. ICLR (Poster) (2019)
Kyung-Min Kim, Dong-Hyun Kwak, Hanock Kwak, Young-Jin Park, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, Jung-Woo Ha
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation. RecSys (Late-Breaking Results) (2019)
Soo-Jin Kim, Jung-Woo Ha, Heebal Kim, Byoung-Tak Zhang
Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data. Appl. Soft Comput. 81 (2019)
Kyung-Wha Park, Junghoon Lee, Sunyoung Kwon, Jung-Woo Ha, Kyung-Min Kim, Byoung-Tak Zhang
Which Ads to Show? Advertisement Image Assessment with Auxiliary Information via Multi-step Modality Fusion. CoRR (2019)
Hanjoo Kim, Minkyu Kim, Dongjoo Seo, Jinwoong Kim, Heungseok Park, Soeun Park, Hyunwoo Jo, KyungHyun Kim, Youngil Yang, Youngkwan Kim, Nako Sung, Jung-Woo Ha
NSML: Meet the MLaaS platform with a real-world case study. CoRR (2018)
Jingwoong Kim, Minkyu Kim, Heungseok Park, Ernar Kusdavletov, Dongjun Lee, Adrian Kim, Ji-Hoon Kim, Jung-Woo Ha, Nako Sung
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms. CoRR (2018)
Nako Sung, Minkyu Kim, Hyunwoo Jo, Youngil Yang, Jingwoong Kim, Leonard Lausen, Youngkwan Kim, Gayoung Lee, Dong-Hyun Kwak, Jung-Woo Ha, Sunghun Kim
NSML: A Machine Learning Platform That Enables You to Focus on Your Models. CoRR (2017)
Sang-Woo Lee, Chung-yeon Lee, Dong-Hyun Kwak, Jung-Woo Ha, Jeonghee Kim, Byoung-Tak Zhang
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors. Neural Networks 92 (2017)
Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang
Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) (2017)
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang
Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS (2017)
Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang
Multimodal Residual Learning for Visual QA. CoRR (2016)
Kyung-Min Kim, Chang-Jun Nan, Jung-Woo Ha, Yu-Jung Heo, Byoung-Tak Zhang
Pororobot: A Deep Learning Robot That Plays Video Q&A Games. AAAI Fall Symposia (2015)