Kimin Lee

Orcid: 0000-0001-9017-3084

According to our database¹, Kimin Lee authored at least 65 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2024

DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.

[BibT_eX]

[DOI]

Krishnamurthy Dj Dvijotham

CoRR, 2024

Aligning Large Language Models with Self-generated Preference Data.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Mobile Device Control Agents across Diverse Configurations.

[BibT_eX]

[DOI]

CoRR, 2024

ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay.

[BibT_eX]

[DOI]

Hyungjun Yoon

Jae Hyun Kwak

Biniyam Aschalew Tolera

CoRR, 2024

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models.

[BibT_eX]

[DOI]

CoRR, 2024

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.

[BibT_eX]

[DOI]

Krishnamurthy Dj Dvijotham

Jinwoo Shin

Kimin Lee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.

[BibT_eX]

[DOI]

Hyungjun Yoon

Biniyam Aschalew Tolera

Taesik Gong

Kimin Lee

Sung-Ju Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

InstructBooth: Instruction-following Personalized Text-to-Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

StyleDrop: Text-to-Image Generation in Any Style.

[BibT_eX]

[DOI]

CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

StyleDrop: Text-to-Image Synthesis of Any Style.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guide Your Agent with Adaptive Multimodal Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-View Masked World Models for Visual Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Controllability-Aware Unsupervised Skill Discovery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Preference Transformer: Modeling Human Preferences using Transformers for RL.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Towards More Generalizable One-shot Visual Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Masked World Models for Visual Control.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.

[BibT_eX]

[DOI]

Alberto L. Sangiovanni-Vincentelli

Sanjit A. Seshia

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.

[BibT_eX]

[DOI]

CoRR, 2021

B-Pref: Benchmarking Preference-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Transferability of Representations via Augmentation-Aware Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Transformer: Reinforcement Learning via Sequence Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Decoupling Representation Learning from Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

State Entropy Maximization with Random Encoders for Efficient Exploration.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.

[BibT_eX]

[DOI]

Kimin Lee

Laura M. Smith

Pieter Abbeel

Proceedings of the 38th International Conference on Machine Learning, 2021

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2020

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.

[BibT_eX]

[DOI]

CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.

[BibT_eX]

[DOI]

Younggyo Seo

Kimin Lee

Ignasi Clavera Gilaberte

Thanard Kurutach

Jinwoo Shin

Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Augmented Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Regularizing Class-Wise Predictions via Self-Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Using Pre-Training Can Improve Model Robustness and Uncertainty.

[BibT_eX]

[DOI]

Dan Hendrycks

Kimin Lee

Mantas Mazeika

Proceedings of the 36th International Conference on Machine Learning, 2019

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Incremental Learning with Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Learning to Specialize with Knowledge Distillation for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Hierarchical Novelty Detection for Visual Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Simplified Stochastic Feedforward Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Confident Multiple Choice Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

TravelMiner: On the Benefit of Path-Based Mobility Prediction.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Just-in-time WLANs: On-demand interference-managed WLAN infrastructures.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Kimin Lee

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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