Byung-Jun Lee
20 papers · 2017–2026 · 10 venues · across top CS/AI venues
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Machine Learning
(10)
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(5)
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policy optimization
(3)
offline reinforcement learning
(3)
variational inference
(2)
contrastive learning
(2)
stationary distribution
(2)
distribution shift
(2)
direct preference optimization
(1)
function approximation
(1)
image generation
(1)
bayesian inference
(1)
transfer learning
(1)
preference learning
(1)
off-policy evaluation
(1)
response generation
(1)
neural network optimization
(1)
cross-modal retrieval
(1)
text-to-image generation
(1)
markov decision process
(1)
model alignment
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metric learning
(1)
Papers
FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment
CVPR 2026
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
ACL 2026
uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data
AAAI 2026
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
CVPR 2025
Iterative Prompt Refinement for Safer Text-to-Image Generation
EMNLP 2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
ACL 2025
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
ICML 2025
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment
EMNLP 2025
Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
ICML 2025
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
NeurIPS 2024
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
AAAI 2024
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
NeurIPS 2024
Improving Neural Machine Translation with Offline Evaluations
IJCNLP 2023
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation
CoNLL 2023
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NeurIPS 2022
Representation Balancing Offline Model-based Reinforcement Learning
ICLR 2021
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
ICLR 2021
Reinforcement Learning for Control with Multiple Frequencies
NeurIPS 2020
Residual Neural Processes
AAAI 2020
Hierarchically-partitioned Gaussian Process Approximation
AISTATS 2017