← Authors

Jinsung Yoon

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

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (10) 🐝 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) EMNLP (4) ACL (3) WACV (2) AAAI (1) CVPR (1) MLHC (1)

Top co-authors

Tomas Pfister (11) Mihaela van der Schaar (9) Sercan O Arik (9) James Jordon (9) Sercan Arik (5) Chun-Liang Li (4) Mihaela Schaar (4) Kihyuk Sohn (4) Daniel Jarrett (2) Jiawei Han (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

Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering WACV 2026
TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing AAAI 2026
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective ICML 2025
Retrieval Augmented Time Series Forecasting ICML 2025
Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation ACL 2025
Debiasing Online Preference Learning via Preference Feature Preservation ACL 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
Learn-by-interact: A Data-Centric Framework For Self-Adaptive Agents in Realistic Environments ICLR 2025
SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data EMNLP 2025
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval EMNLP 2024
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024
Search-Adaptor: Embedding Customization for Information Retrieval ACL 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024
Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021
Controlling Neural Networks with Rule Representations NIPS 2021
Learning and Evaluating Representations for Deep One-Class Classification ICLR 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
GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 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