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← Authors

Jinsung Yoon

35 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (57) πŸ† Keyword Champion πŸ† Grand Slam 🀝 Dynamic Duo (11) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (114) πŸ’Ž Century Club (33) ⚑ Prolific Year (8) πŸš€ Conference Pioneer

Conferences

ICLR (10) ICML (7) NIPS (5) ACL (4) EMNLP (4) WACV (2) AAAI (1) CVPR (1) MLHC (1)

Top co-authors

Tomas Pfister (12) Sercan O Arik (9) Mihaela van der Schaar (9) James Jordon (9) Sercan Arik (5) Mihaela Schaar (4) Kihyuk Sohn (4) Chun-Liang Li (4) Hyunwoo J. Kim (2) Daniel Jarrett (2)

Research topics

Differential Privacy (1)

Keywords

large language model (6) unsupervised learning (5) generative adversarial network (3) self-supervised learning (2) anomaly detection (2) domain adaptation (2) information retrieval (2) retrieval-augmented generation (2) question answering (2) zero-shot retrieval (2) data augmentation (2) image classification (1) transfer learning (1) online learning (1) representation learning (1) variable selection (1) sequential decision making (1) semi-supervised learning (1) dimensionality reduction (1) visual question answering (1)

Papers

DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding ACL 2026 TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing AAAI 2026 Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering WACV 2026 Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation ACL 2025 Debiasing Online Preference Learning via Preference Feature Preservation ACL 2025 SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data EMNLP 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025 Retrieval Augmented Time Series Forecasting ICML 2025 Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval ICLR 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG ICLR 2025 Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval EMNLP 2024 Search-Adaptor: Embedding Customization for Information Retrieval ACL 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 Controlling Neural Networks with Rule Representations NIPS 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021 VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain NIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting NIPS 2020 Data Valuation using Reinforcement Learning ICML 2020 INVASE: Instance-wise Variable Selection using Neural Networks ICLR 2019 Time-series Generative Adversarial Networks NIPS 2019 KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks ICLR 2019 PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees ICLR 2019 Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NIPS 2019 ASAC: Active Sensing using Actor-Critic models MLHC 2019 GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 2018 GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018 Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks ICLR 2018 RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks ICML 2018 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016