Jung-Woo Ha

49 papers · 2016–2024 · 13 conferences · across top CS/AI conferences

Achievements

+17 more ↓

🏃 Academic Marathon (8) 🐝 Cross-Pollinator (3) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)

🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 👥 Mega-Team (37) 👑 Triple Crown 🏆 Grand Slam 🤝 Dynamic Duo (13) 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 🚀 Conference Pioneer 📈 Trend Setter 🗃️ Keyword Collector (162) ⚡ Prolific Year (7) 🔥 Unstoppable (9) ❓ The Questioner 💎 Century Club (49)

Conferences

ICLR (12) NIPS (7) ACL (6) CVPR (5) EMNLP (4) AAAI (3) ICCV (3) ECCV (2) ICML (2) IJCNLP (2) COLING (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Sang-Woo Lee (13) Jin-Hwa Kim (6) Sunghun Kim (6) Alice Oh (5) Kang Min Yoo (5) Jinwoo Shin (5) Jaegul Choo (4) Hwanjun Song (4) Nako Sung (4) Ji-Hoon Kim (4)

Keywords

large language model (5) korean language (3) semi-supervised learning (3) transfer learning (3) code generation (2) text-to-image generation (2) paraphrase generation (2) question answering (2) text generation (2) continual learning (2) multimodal learning (2) few-shot learning (2) zero-shot learning (2) image generation (2) data augmentation (2) visual question answering (2) style transfer (2) attention mechanism (2) self-supervised learning (2) in-context learning (2)

Papers

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs ICLR 2024 Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs ICLR 2024 Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation NIPS 2024 Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models ICCV 2023 Switching Temporary Teachers for Semi-Supervised Semantic Segmentation NIPS 2023 Self-Supervised Set Representation Learning for Unsupervised Meta-Learning ICLR 2023 Online Boundary-Free Continual Learning by Scheduled Data Prior ICLR 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 Dense Text-to-Image Generation with Attention Modulation ICCV 2023 Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning ACL 2023 Query-Efficient Black-Box Red Teaming via Bayesian Optimization ACL 2023 SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration ACL 2023 KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications ACL 2023 Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images ICLR 2023 On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022 On Divergence Measures for Bayesian Pseudocoresets NIPS 2022 Two-Step Question Retrieval for Open-Domain QA ACL 2022 Continuous Decomposition of Granularity for Neural Paraphrase Generation COLING 2022 Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022 Generator Knows What Discriminator Should Learn in Unconditional GANs ECCV 2022 K-Centered Patch Sampling for Efficient Video Recognition ECCV 2022 AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models EMNLP 2022 Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks ICLR 2022 Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference ICLR 2022 Contrastive Fine-grained Class Clustering via Generative Adversarial Networks ICLR 2022 Dataset Condensation via Efficient Synthetic-Data Parameterization ICML 2022 Time Is MattEr: Temporal Self-supervision for Video Transformers ICML 2022 What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021 Weakly Supervised Pre-Training for Multi-Hop Retriever ACL 2021 AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights ICLR 2021 Weakly Supervised Pre-Training for Multi-Hop Retriever IJCNLP 2021 DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances AAAI 2021 Rainbow Memory: Continual Learning With a Memory of Diverse Samples CVPR 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks NIPS 2021 Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs NIPS 2020 StarGAN v2: Diverse Image Synthesis for Multiple Domains CVPR 2020 Context-Aware Answer Extraction in Question Answering EMNLP 2020 ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers INTERSPEECH 2020 NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions EMNLP 2019 Paraphrase Diversification Using Counterfactual Debiasing AAAI 2019 Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation ICLR 2019 Photorealistic Style Transfer via Wavelet Transforms ICCV 2019 DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder ICLR 2019 NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions IJCNLP 2019 Phase-Aware Speech Enhancement with Deep Complex U-Net ICLR 2019 StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation CVPR 2018 Dual Attention Networks for Multimodal Reasoning and Matching CVPR 2017 Overcoming Catastrophic Forgetting by Incremental Moment Matching NIPS 2017 Multimodal Residual Learning for Visual QA NIPS 2016