Lee, Honglak
181 publications
AAAI
2025
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
NeurIPS
2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
ICML
2024
Degeneration-Free Policy Optimization: RL Fine-Tuning for Language Models Without Degeneration
CVPRW
2024
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning
CoLLAs
2024
Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective
CVPR
2023
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy
TMLR
2023
Neural Shape Compiler: A Unified Framework for Transforming Between Text, Point Cloud, and Program
UAI
2022
Fast Inference and Transfer of Compositional Task Structures for Few-Shot Task Generalization
NeurIPS
2022
OpenSRH: Optimizing Brain Tumor Surgery Using Intraoperative Stimulated Raman Histology
NeurIPS
2022
Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching
NeurIPS
2022
Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
NeurIPSW
2021
SURF: Semi-Supervised Reward Learning with Data Augmentation for Feedback-Efficient Preference-Based Reinforcement Learning
ICML
2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
ICLR
2020
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
NeurIPS
2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
AAAI
2018
Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs
NeurIPS
2018
Hierarchical Reinforcement Learning for Zero-Shot Generalization with Subtask Dependencies
CVPR
2017
Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries
CVPR
2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
NeurIPS
2016
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction Without 3D Supervision
ICML
2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
NeurIPS
2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
AISTATS
2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
CVPR
2012
Learning Hierarchical Representations for Face Verification with Convolutional Deep Belief Networks
NeurIPS
2009
Unsupervised Feature Learning for Audio Classification Using Convolutional Deep Belief Networks