← Authors

Kimin Lee

55 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (79) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (26) 🧬 Topic Evolution πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (199) πŸ’Ž Century Club (53)

Conferences

ICLR (13) ICML (11) NIPS (11) AAAI (5) CVPR (4) ACL (3) CORL (3) EMNLP (3) ICCV (1) IJCAI (1)

Top co-authors

Jinwoo Shin (26) Pieter Abbeel (19) Honglak Lee (14) Younggyo Seo (9) Kibok Lee (7) June Suk Choi (5) Hao Liu (4) Aravind Srinivas (4) Michael Laskin (3) Sung Ju Hwang (3)

Keywords

reinforcement learning (8) diffusion model (5) representation learning (4) self-supervised learning (4) model-based reinforcement learning (3) knowledge distillation (3) ensemble learning (3) world model (3) image generation (3) out-of-distribution detection (3) off-policy learning (3) reward model (3) large language model (3) text-to-image generation (3) image classification (2) reinforcement learning from human feedback (2) data augmentation (2) unsupervised learning (2) confidence calibration (2) preference learning (2)

Papers

MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control AAAI 2026
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation AAAI 2026
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR 2025
Enhancing LLM Agent Safety via Causal Influence Prompting ACL 2025
Latent Action Pretraining from Videos ICLR 2025
Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR 2025
Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers EMNLP 2025
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025
What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs ACL 2025
Understanding Impact of Human Feedback via Influence Functions ACL 2025
Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models ICLR 2025
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents ICLR 2025
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing ICLR 2025
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment ICLR 2025
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting EMNLP 2024
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models NIPS 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences CVPR 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024
Multi-View Masked World Models for Visual Robotic Manipulation ICML 2023
Preference Transformer: Modeling Human Preferences using Transformers for RL ICLR 2023
Guide Your Agent with Adaptive Multimodal Rewards NIPS 2023
StyleDrop: Text-to-Image Synthesis of Any Style NIPS 2023
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models NIPS 2023
Controllability-Aware Unsupervised Skill Discovery ICML 2023
Reinforcement Learning with Action-Free Pre-Training from Videos ICML 2022
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning AAAI 2022
Masked World Models for Visual Control CORL 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning ICLR 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning ICLR 2022
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CORL 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings NIPS 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback CORL 2021
MASKER: Masked Keyword Regularization for Reliable Text Classification AAAI 2021
Learning to Sample with Local and Global Contexts in Experience Replay Buffer ICLR 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning ICML 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021
State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021
Decoupling Representation Learning from Reinforcement Learning ICML 2021
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning ICLR 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning NIPS 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020
Regularizing Class-Wise Predictions via Self-Knowledge Distillation CVPR 2020
Reinforcement Learning with Augmented Data NIPS 2020
Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels ICML 2019
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ICCV 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples ICLR 2018
Learning to Specialize with Knowledge Distillation for Visual Question Answering NIPS 2018
Hierarchical Novelty Detection for Visual Object Recognition CVPR 2018
Confident Multiple Choice Learning ICML 2017