← Authors

Honglak Lee

162 papers · 2006–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) πŸ—ΊοΈ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (44) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Keyword Champion 🧬 Topic Evolution πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (27) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (15) ⚑ Prolific Year (6) πŸ’Ž Century Club (160) πŸ—ƒοΈ Keyword Collector (116) ❓ The Questioner (3)

Conferences

NIPS (44) ICML (23) CVPR (19) ICLR (17) AAAI (11) EMNLP (9) ACL (9) ICCV (5) NAACL (5) ECCV (4) AISTATS (4) IJCAI (4) WACV (3) EACL (2) INTERSPEECH (1) RSS (1) UAI (1)

Top co-authors

Moontae Lee (23) Lajanugen Logeswaran (21) Sungryull Sohn (21) Jinwoo Shin (14) Kimin Lee (14) Jongwook Choi (12) Seunghoon Hong (11) Kibok Lee (10) Kihyuk Sohn (9) Yijie Guo (9)

Research topics

Privacy (1)

Keywords

unsupervised learning (16) representation learning (12) convolutional neural network (8) feature learning (8) zero-shot learning (8) reinforcement learning (8) large language model (7) language model (6) transfer learning (6) recurrent neural network (6) image generation (6) model-based reinforcement learning (6) restricted boltzmann machine (6) sample efficiency (6) deep learning (5) sparse reward (5) self-supervised learning (5) video prediction (5) generative model (5) contrastive learning (5)

Papers

Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance EACL 2026
IRPO: Implicit Policy Regularized Preference Optimization EACL 2026
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025
Probing Visual Language Priors in VLMs ICML 2025
Step-Calibrated Diffusion for Biomedical Optical Image Restoration AAAI 2025
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows NAACL 2025
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025
Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents CVPR 2025
Visual Test-time Scaling for GUI Agent Grounding ICCV 2025
Interactive and Expressive Code-Augmented Planning with Large Language Models ACL 2025
Subtask-Aware Visual Reward Learning from Segmented Demonstrations ICLR 2025
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination ACL 2024
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration ICML 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks EMNLP 2024
View Selection for 3D Captioning via Diffusion Ranking ECCV 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning ACL 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents NIPS 2024
Code Models are Zero-shot Precondition Reasoners NAACL 2024
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL 2024
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents EMNLP 2024
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning ACL 2024
Learning Compositional Tasks from Language Instructions AAAI 2023
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy CVPR 2023
Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers INTERSPEECH 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models ICML 2023
Preference Transformer: Modeling Human Preferences using Transformers for RL ICLR 2023
Composing Task Knowledge With Modular Successor Feature Approximators ICLR 2023
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution WACV 2023
Combining Behaviors with the Successor Features Keyboard NIPS 2023
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation NIPS 2023
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NIPS 2023
Guide Your Agent with Adaptive Multimodal Rewards NIPS 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NIPS 2023
Scalable 3D Captioning with Pretrained Models NIPS 2023
Simple and Effective Synthesis of Indoor 3D Scenes AAAI 2023
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters AAAI 2023
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues EMNLP 2023
Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL 2023
Unsupervised Task Graph Generation from Instructional Video Transcripts ACL 2023
Fine-grained Text Style Transfer with Diffusion-Based Language Models ACL 2023
Story Visualization by Online Text Augmentation with Context Memory ICCV 2023
GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023
A Picture is Worth a Thousand Words: Language Models Plan from Pixels EMNLP 2023
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning EMNLP 2023
Merging Generated and Retrieved Knowledge for Open-Domain QA EMNLP 2023
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules ICML 2022
Lipschitz-constrained Unsupervised Skill Discovery ICLR 2022
Few-shot Subgoal Planning with Language Models NAACL 2022
L-Verse: Bidirectional Generation Between Image and Text CVPR 2022
Pure Transformers are Powerful Graph Learners NIPS 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost NIPS 2022
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition NIPS 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NIPS 2022
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching NIPS 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning ICLR 2022
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training NIPS 2022
Fast inference and transfer of compositional task structures for few-shot task generalization UAI 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022
Learning Parameterized Task Structure for Generalization to Unseen Entities AAAI 2022
Evolving Reinforcement Learning Algorithms ICLR 2021
Batch Reinforcement Learning Through Continuation Method ICLR 2021
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning ICLR 2021
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction ICLR 2021
Pathdreamer: A World Model for Indoor Navigation ICCV 2021
Why Do Better Loss Functions Lead to Less Transferable Features? NIPS 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NIPS 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision NIPS 2021
Environment Generation for Zero-Shot Compositional Reinforcement Learning NIPS 2021
Improved Consistency Regularization for GANs AAAI 2021
Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment IJCAI 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation CVPR 2021
Text-to-Image Generation Grounded by Fine-Grained User Attention WACV 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021
State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021
Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020
Ode to an ODE NIPS 2020
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards NIPS 2020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NIPS 2020
Predictive Information Accelerates Learning in RL NIPS 2020
How Should an Agent Practice? AAAI 2020
Distilling Effective Supervision From Severe Label Noise CVPR 2020
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing ECCV 2020
High-Fidelity Synthesis with Disentangled Representation ECCV 2020
Consistency Regularization for Generative Adversarial Networks ICLR 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies ICLR 2020
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning ICLR 2020
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning ICML 2020
BRPO: Batch Residual Policy Optimization IJCAI 2020
CompressNet: Generative Compression at Extremely Low Bitrates WACV 2020
Adversarial Defense via Learning to Generate Diverse Attacks ICCV 2019
Learning Latent Dynamics for Planning from Pixels ICML 2019
Similarity of Neural Network Representations Revisited ICML 2019
Contingency-Aware Exploration in Reinforcement Learning ICLR 2019
Diversity-Sensitive Conditional Generative Adversarial Networks ICLR 2019
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning ICLR 2019
Zero-Shot Entity Linking by Reading Entity Descriptions ACL 2019
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks NIPS 2019
Unsupervised learning of object structure and dynamics from videos NIPS 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels ICML 2019
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ICCV 2019
An efficient framework for learning sentence representations ICLR 2018
Data-Efficient Hierarchical Reinforcement Learning NIPS 2018
Hierarchical Long-term Video Prediction without Supervision ICML 2018
Content preserving text generation with attribute controls NIPS 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NIPS 2018
Unsupervised Discovery of Object Landmarks as Structural Representations CVPR 2018
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis CVPR 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples ICLR 2018
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NIPS 2018
Neural Kinematic Networks for Unsupervised Motion Retargetting CVPR 2018
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics ECCV 2018
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies NIPS 2018
Learning Hierarchical Semantic Image Manipulation through Structured Representations NIPS 2018
Hierarchical Novelty Detection for Visual Object Recognition CVPR 2018
Self-Imitation Learning ICML 2018
Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries CVPR 2017
Value Prediction Network NIPS 2017
Learning to Generate Long-term Future via Hierarchical Prediction ICML 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017
Towards Understanding the Invertibility of Convolutional Neural Networks IJCAI 2017
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos CVPR 2017
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games IJCAI 2016
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016
Object Contour Detection With a Fully Convolutional Encoder-Decoder Network CVPR 2016
Learning Deep Representations of Fine-Grained Visual Descriptions CVPR 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification ICML 2016
Generative Adversarial Text to Image Synthesis ICML 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016
Control of Memory, Active Perception, and Action in Minecraft ICML 2016
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision NIPS 2016
Learning What and Where to Draw NIPS 2016
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents NAACL 2016
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis NIPS 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games NIPS 2015
Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Deep Visual Analogy-Making NIPS 2015
Learning to Disentangle Factors of Variation with Manifold Interaction ICML 2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
Improved Multimodal Deep Learning with Variation of Information NIPS 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising NIPS 2013
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling CVPR 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines CVPR 2013
Deep Learning for Detecting Robotic Grasps RSS 2013
Online Incremental Feature Learning with Denoising Autoencoders AISTATS 2012
Learning to Align from Scratch NIPS 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
Efficient and Exact MAP-MRF Inference using Branch and Bound AISTATS 2012
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Measuring Invariances in Deep Networks NIPS 2009
Unsupervised feature learning for audio classification using convolutional deep belief networks NIPS 2009
Sparse deep belief net model for visual area V2 NIPS 2007
Efficient sparse coding algorithms NIPS 2006