Honglak Lee

Honglak Lee, Changhan Wang, Marcie S Rubin, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Generating Multimodal Human Dynamics from Transformation-regularized Representations

Ersin Yumer, Ruben Villegas, Honglak Lee, 2018 .

Evolving Reinforcement Learning Algorithms pdf

Quoc V. Le, Honglak Lee, Aleksandra Faust, 2021, ArXiv.

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2014, NIPS.

Learning Structured Output Representation using Deep Conditional Generative Models

Honglak Lee, Kihyuk Sohn, Xinchen Yan, 2015, NIPS.

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks pdf

Honglak Lee, Soren Pirk, Yuanzheng Gong, 2019, ArXiv.

Robust Determinantal Generative Classifier for Noisy Labels and Adversarial Attacks

Kibok Lee, Jinwoo Shin, Honglak Lee, 2018 .

Multimodal Deep Learning

Juhan Nam, Honglak Lee, Mingyu Kim, 2011, ICML.

Sparse deep belief net model for visual area V2

Honglak Lee, Andrew Y. Ng, Chaitanya Ekanadham, 2007, NIPS.

Text as Neural Operator:Image Manipulation by Text Instruction pdf

Honglak Lee, Tianhao Zhang, Irfan Essa, 2020, ACM Multimedia.

Spam Deobfuscation using a Hidden Markov Model

Honglak Lee, Andrew Y. Ng, A. Ng, 2005, CEAS.

Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation

Seunghoon Hong, Honglak Lee, Jongwook Choi, 2019, Explainable AI.

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit

Honglak Lee, Anna C. Gilbert, Kihyuk Sohn, 2016, SDM.

Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization

Honglak Lee, Junhyuk Oh, Pushmeet Kohli, 2017 .

Self-Imitation Learning

Satinder Singh, Honglak Lee, Junhyuk Oh, 2018, ICML.

Attribute2Image: Conditional Image Generation from Visual Attributes pdf

Honglak Lee, Jimei Yang, Kihyuk Sohn, 2015, ECCV.

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents pdf

Rui Zhang, Honglak Lee, Dragomir R. Radev, 2016, NAACL.

Near-Optimal Representation Learning for Hierarchical Reinforcement Learning pdf

Sergey Levine, Honglak Lee, Ofir Nachum, 2018, ICLR.

Distilling Effective Supervision From Severe Label Noise

Honglak Lee, Han Zhang, Sercan O. Arik, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

IEG: Robust Neural Network Training to Tackle Severe Label Noise pdf

Honglak Lee, Sercan O. Arik, Tomas Pfister, 2019, ArXiv.

Cross-Modal Contrastive Learning for Text-to-Image Generation pdf

Honglak Lee, Jason Baldridge, Yinfei Yang, 2021, ArXiv.

High-Fidelity Synthesis with Disentangled Representation pdf

Seunghoon Hong, Honglak Lee, Wonkwang Lee, 2020, ECCV.

Learning Deep Representations of Fine-Grained Visual Descriptions

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2016, IJCAI.

Editorial introduction to the Neural Networks special issue on Deep Learning of Representations

Yoshua Bengio, Honglak Lee, Yoshua Bengio, 2015, Neural Networks.

Understanding and Diagnosing Vulnerability under Adversarial Attacks pdf

Atul Prakash, Ziqi Zhang, Honglak Lee, 2020, ArXiv.

Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy pdf

Samy Bengio, Honglak Lee, Mohammad Norouzi, 2019, ArXiv.

Deep determinantal generative classifier: robustness on noisy and adversarial samples

Kibok Lee, Jinwoo Shin, Honglak Lee, 2019 .

Sentence Ordering using Recurrent Neural Networks pdf

Honglak Lee, Dragomir R. Radev, Lajanugen Logeswaran, 2016, ArXiv.

Guest Editors' Introduction: Special Section on Learning Deep Architectures

Samy Bengio, Li Deng, Honglak Lee, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing pdf

Honglak Lee, Bo Li, Chaowei Xiao, 2019, ECCV.

Control of Memory, Active Perception, and Action in Minecraft pdf

Honglak Lee, Junhyuk Oh, Satinder P. Singh, 2016, ICML.

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos

Seunghoon Hong, Bohyung Han, Honglak Lee, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Value Prediction Network

Satinder Singh, Honglak Lee, Junhyuk Oh, 2017, NIPS.

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

Honglak Lee, Ming-Hsuan Yang, Scott Cohen, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Improving Design Preference Prediction Accuracy Using Feature Learning

Yi Ren, Honglak Lee, Yanxin Pan, 2016 .

Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines

Silvio Savarese, Benjamin Kuipers, Honglak Lee, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Deep learning for detecting robotic grasps

Honglak Lee, Ashutosh Saxena, Ian Lenz, 2013, Int. J. Robotics Res..

Exploring the structure of a real-time, arbitrary neural artistic stylization network pdf

Honglak Lee, Jonathon Shlens, Manjunath Kudlur, 2017, BMVC.

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

Kibok Lee, Jinwoo Shin, Honglak Lee, 2018, NeurIPS.

Structured Recurrent Temporal Restricted Boltzmann Machines

Silvio Savarese, Benjamin Kuipers, Honglak Lee, 2014, ICML.

Incremental Learning with Unlabeled Data in the Wild

Kibok Lee, Jinwoo Shin, Honglak Lee, 2019, CVPR Workshops.

An Ode to an ODE pdf

Honglak Lee, Krzysztof Choromanski, Xingyou Song, 2020, ArXiv.

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild

Kibok Lee, Jinwoo Shin, Honglak Lee, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Few-shot Sequence Learning with Transformers pdf

Marc'Aurelio Ranzato, Honglak Lee, Myle Ott, 2020, ArXiv.

Unsupervised Discovery of Object Landmarks as Structural Representations

Yuting Zhang, Honglak Lee, Zhiyuan He, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning pdf

Kibok Lee, Jinwoo Shin, Honglak Lee, 2019, ICLR 2020.

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

Kibok Lee, Jinwoo Shin, Honglak Lee, 2020, ICLR.

Efficient L1 Regularized Logistic Regression

Honglak Lee, Pieter Abbeel, Andrew Y. Ng, 2006, AAAI.

Automatic correction of lithography hotspots with a deep generative model

Honglak Lee, Jaeseung Jeong, Ji-Suk Hong, 2019, Advanced Lithography.

Learning What and Where to Draw

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, NIPS.

Unsupervised feature learning for audio classification using convolutional deep belief networks

Honglak Lee, Andrew Y. Ng, Peter T. Pham, 2009, NIPS.

Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies

Honglak Lee, Junhyuk Oh, Sungryull Sohn, 2018, NeurIPS.

An efficient framework for learning sentence representations pdf

Honglak Lee, Lajanugen Logeswaran, Honglak Lee, 2018, ICLR.

A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations

Juhan Nam, Honglak Lee, Jiquan Ngiam, 2011, ISMIR.

Learning to Disentangle Factors of Variation with Manifold Interaction

Yuting Zhang, Honglak Lee, Kihyuk Sohn, 2014, ICML.

BRPO: Batch Residual Policy Optimization pdf

Craig Boutilier, Honglak Lee, Ofir Nachum, 2020, ArXiv.

Online Incremental Feature Learning with Denoising Autoencoders

Honglak Lee, Kihyuk Sohn, Guanyu Zhou, 2012, AISTATS.

Training Deep Neural Networks on Noisy Labels with Bootstrapping pdf

Dumitru Erhan, Honglak Lee, Dragomir Anguelov, 2014, ICLR.

Efficient sparse coding algorithms

Rajat Raina, Honglak Lee, Andrew Y. Ng, 2006, NIPS.

Robust Inference via Generative Classifiers for Handling Noisy Labels

Kibok Lee, Bo Li, Jinwoo Shin, 2019, ICML.

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network

Seunghoon Hong, Bohyung Han, Honglak Lee, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Generate Long-term Future via Hierarchical Prediction

Ruben Villegas, Honglak Lee, Jimei Yang, 2017, ICML.

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification

Kibok Lee, Yuting Zhang, Honglak Lee, 2016, ICML.

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks

Honglak Lee, Dragomir R. Radev, Lajanugen Logeswaran, 2016, AAAI.

Unsupervised Learning of Object Structure and Dynamics from Videos pdf

Chen Sun, Ruben Villegas, Honglak Lee, 2019, NeurIPS.

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning pdf

Honglak Lee, Junhyuk Oh, Pushmeet Kohli, 2017, ICML.

Zero-Shot Entity Linking by Reading Entity Descriptions pdf

Ming-Wei Chang, Honglak Lee, Kenton Lee, 2019, ACL.

Efficient learning of sparse, distributed, convolutional feature representations for object recognition

Alfred O. Hero, Honglak Lee, Kihyuk Sohn, 2011, 2011 International Conference on Computer Vision.

Improved Consistency Regularization for GANs pdf

Honglak Lee, Sameer Singh, Han Zhang, 2020, AAAI.

Deep Variational Canonical Correlation Analysis pdf

Honglak Lee, Karen Livescu, Weiran Wang, 2016, ArXiv.

Deep learning for robust feature generation in audiovisual emotion recognition

Honglak Lee, Emily Mower Provost, Yelin Kim, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Action-Conditional Video Prediction using Deep Networks in Atari Games

Honglak Lee, Richard L. Lewis, Xiaoxiao Guo, 2015, NIPS.

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

Honglak Lee, George Tucker, Danijar Hafner, 2018, NeurIPS.

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning pdf

Honglak Lee, Chongjie Zhang, Minghao Zhang, 2020, NeurIPS.

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

Kibok Lee, Jinwoo Shin, Honglak Lee, 2017, ICLR.

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling

Honglak Lee, Erik G. Learned-Miller, Kihyuk Sohn, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

The impact of images on user clicks in product search

Honglak Lee, Junling Hu, Anjan Goswami, 2012, MDMKDD '12.

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations

Arkanath Pathak, Honglak Lee, Abhinav Gupta, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Neural Kinematic Networks for Unsupervised Motion Retargetting

Ruben Villegas, Honglak Lee, Jimei Yang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

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

Honglak Lee, Richard L. Lewis, Kimin Lee, 2020, ArXiv.

Learning Latent Dynamics for Planning from Pixels pdf

Ruben Villegas, Honglak Lee, James Davidson, 2018, ICML.

Learning Grasping Interaction with Geometry-aware 3D Representations pdf

Arkanath Pathak, Honglak Lee, Abhinav Gupta, 2017, ArXiv.

Learning hierarchical representations for face verification with convolutional deep belief networks

Honglak Lee, Erik Learned-Miller, Gary B. Huang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

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

Jinwoo Shin, Honglak Lee, Kimin Lee, 2020, ICML.

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

Ersin Yumer, Ruben Villegas, Honglak Lee, 2018, ECCV.

Unsupervised learning of hierarchical representations with convolutional deep belief networks

Honglak Lee, Andrew Y. Ng, Roger B. Grosse, 2011, Commun. ACM.

Time Dependence in Non-Autonomous Neural ODEs pdf

Honglak Lee, Krzysztof Choromanski, Adrian Weller, 2020, ICLR 2020.

Quadruped robot obstacle negotiation via reinforcement learning

Chih-Han Yu, Honglak Lee, Andrew Y. Ng, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Generative Adversarial Self-Imitation Learning pdf

Satinder Singh, Honglak Lee, Junhyuk Oh, 2018, ArXiv.

Towards Understanding the Invertibility of Convolutional Neural Networks pdf

Kibok Lee, Yuting Zhang, Yi Zhang, 2017, IJCAI.

Inferring Semantic Layout for Text-to-Image Synthesis

Seunghoon Hong, Honglak Lee, Jongwook Choi, 2018 .

Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs pdf

Rui Zhang, Honglak Lee, Dragomir R. Radev, 2017, AAAI.

Decomposing Motion and Content for Natural Video Sequence Prediction pdf

Seunghoon Hong, Ruben Villegas, Honglak Lee, 2017, ICLR.

Generative Adversarial Text to Image Synthesis

Bernt Schiele, Honglak Lee, Zeynep Akata, 2016, ICML.

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? pdf

Sergey Levine, Honglak Lee, Ofir Nachum, 2019, ArXiv.

Evaluation of output embeddings for fine-grained image classification

Bernt Schiele, Honglak Lee, Zeynep Akata, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Diversity-Sensitive Conditional Generative Adversarial Networks pdf

Seunghoon Hong, Honglak Lee, Yunseok Jang, 2019, ICLR.

Neural Task Graph Execution

Honglak Lee, Junhyuk Oh, Sungryull Sohn, 2018 .

Unsupervised Hierarchical Video Prediction

Dumitru Erhan, Honglak Lee, Nevan Wichers, 2018 .

An efficient branch-and-bound algorithm for optimal human pose estimation

Silvio Savarese, Honglak Lee, Min Sun, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Predictive Information Accelerates Learning in RL pdf

Honglak Lee, John Canny, Sergio Guadarrama, 2020, NeurIPS.

Self-Imitation Learning via Trajectory-Conditioned Policy for Hard-Exploration Tasks

Samy Bengio, Honglak Lee, Mohammad Norouzi, 2019 .

Efficient and Exact MAP-MRF Inference using Branch and Bound

Silvio Savarese, Honglak Lee, Min Sun, 2012, AISTATS.

Adversarial Defense via Learning to Generate Diverse Attacks

Seunghoon Hong, Honglak Lee, Tianchen Zhao, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image

Honglak Lee, Andrew Y. Ng, Erick Delage, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

BRPO: Batch Residual Policy Optimization

Craig Boutilier, Honglak Lee, Ofir Nachum, 2020, IJCAI.

High Fidelity Video Prediction with Large Neural Nets

Ruben Villegas, Arkanath Pathak, Harini Kannan, 2019, NeurIPS 2019.

Learning hierarchical representations for face verification with convolutional deep belief networks

Honglak Lee, Erik Learned-Miller, Gary B. Huang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies pdf

Honglak Lee, Junhyuk Oh, Sungryull Sohn, 2018, NIPS 2018.

Improved Multimodal Deep Learning with Variation of Information

Honglak Lee, Kihyuk Sohn, Wenling Shang, 2014, NIPS.

Contingency-Aware Exploration in Reinforcement Learning pdf

Honglak Lee, Junhyuk Oh, Mohammad Norouzi, 2018, ICLR.

Information Regularized Neural Networks

Honglak Lee, Zeyu Sun, Dejiao Zhang, 2018 .

Adversarial Environment Generation for Learning to Navigate the Web pdf

Honglak Lee, Natasha Jaques, Aleksandra Faust, 2021, ArXiv.

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

Honglak Lee, Richard L. Lewis, Kimin Lee, 2021, IJCAI.

Cross-Modal Contrastive Learning for Text-to-Image Generation

Honglak Lee, Jason Baldridge, Yinfei Yang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Text as Neural Operator:Image Manipulation by Text Instruction

Honglak Lee, Hung-Yu Tseng, Irfan Essa, 2020, ACM Multimedia.

Text-to-Image Generation Grounded by Fine-Grained User Attention

Honglak Lee, Jason Baldridge, Yinfei Yang, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

State Entropy Maximization with Random Encoders for Efficient Exploration

Jinwoo Shin, Honglak Lee, Pieter Abbeel, 2021, ICML.

Improved Consistency Regularization for GANs

Honglak Lee, Sameer Singh, Han Zhang, 2021, AAAI.

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Ersin Yumer, Honglak Lee, Jimei Yang, 2016, NIPS.

Single View Corridor Reconstruction

Honglak Lee, Erick Delage, Honglak Lee, 2005 .

Predictive Information Accelerates Learning in RL pdf

Honglak Lee, John Canny, Sergio Guadarrama, 2020, NeurIPS.

High-throughput identification of transcription start sites, conserved promoter motifs and predicted regulons

Honglak Lee, Nathan J Hillson, Li Zhang, 2007, Nature Biotechnology.

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks

Honglak Lee, Oren Sagher, Ricardo J. Komotar, 2019, Nature Medicine.

Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies pdf

Honglak Lee, Jongwook Choi, Sungryull Sohn, 2020, ICLR.

Supplementary Material : Zero-Shot Task Generalization with MultiTask Deep Reinforcement Learning

Honglak Lee, Junhyuk Oh, Pushmeet Kohli, 2017 .

Distilling Effective Supervision From Severe Label Noise

Honglak Lee, Han Zhang, Sercan O. Arik, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks

Honglak Lee, Guy M. McKhann, Daniel A. Orringer, 2019, Nature Medicine.