Kimin Lee

Orcid: 0000-0001-9017-3084

According to our database1, Kimin Lee authored at least 57 papers between 2016 and 2023.

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Bibliography

2023
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences.
CoRR, 2023

InstructBooth: Instruction-following Personalized Text-to-Image Generation.
CoRR, 2023

StyleDrop: Text-to-Image Generation in Any Style.
CoRR, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.
CoRR, 2023

StyleDrop: Text-to-Image Synthesis of Any Style.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Controllability-Aware Unsupervised Skill Discovery.
Proceedings of the International Conference on Machine Learning, 2023

Preference Transformer: Modeling Human Preferences using Transformers for RL.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models.
CoRR, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.
CoRR, 2022

Towards More Generalizable One-shot Visual Imitation Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Reinforcement Learning with Action-Free Pre-Training from Videos.
Proceedings of the International Conference on Machine Learning, 2022

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Masked World Models for Visual Control.
Proceedings of the Conference on Robot Learning, 2022

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.
CoRR, 2021

B-Pref: Benchmarking Preference-Based Reinforcement Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Transferability of Representations via Augmentation-Aware Self-Supervision.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

URLB: Unsupervised Reinforcement Learning Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.
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.
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.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Decoupling Representation Learning from Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

State Entropy Maximization with Random Encoders for Efficient Exploration.
Proceedings of the 38th International Conference on Machine Learning, 2021

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training.
Proceedings of the 38th International Conference on Machine Learning, 2021

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Sample with Local and Global Contexts in Experience Replay Buffer.
Proceedings of the 9th International Conference on Learning Representations, 2021

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback.
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.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

MASKER: Masked Keyword Regularization for Reliable Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures.
IEEE/ACM Trans. Netw., 2020

Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments.
CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
CoRR, 2020

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning.
CoRR, 2020

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforcement Learning with Augmented Data.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Regularizing Class-Wise Predictions via Self-Knowledge Distillation.
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.
CoRR, 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

Using Pre-Training Can Improve Model Robustness and Uncertainty.
Proceedings of the 36th International Conference on Machine Learning, 2019

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Incremental Learning with Unlabeled Data in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learning to Specialize with Knowledge Distillation for Visual Question Answering.
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.
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.
Proceedings of the 6th International Conference on Learning Representations, 2018

Hierarchical Novelty Detection for Visual Object Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Simplified Stochastic Feedforward Neural Networks.
CoRR, 2017

Confident Multiple Choice Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
TravelMiner: On the Benefit of Path-Based Mobility Prediction.
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

Just-in-time WLANs: On-demand interference-managed WLAN infrastructures.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016


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