Honglak Lee

According to our database1, Honglak Lee authored at least 116 papers between 2005 and 2018.

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2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning.
CoRR, 2018

Learning Hierarchical Semantic Image Manipulation through Structured Representations.
CoRR, 2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics.
CoRR, 2018

Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies.
CoRR, 2018

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks.
CoRR, 2018

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.
CoRR, 2018

Self-Imitation Learning.
CoRR, 2018

Hierarchical Long-term Video Prediction without Supervision.
CoRR, 2018

Data-Efficient Hierarchical Reinforcement Learning.
CoRR, 2018

Neural Kinematic Networks for Unsupervised Motion Retargetting.
CoRR, 2018

Unsupervised Discovery of Object Landmarks as Structural Representations.
CoRR, 2018

Hierarchical Novelty Detection for Visual Object Recognition.
CoRR, 2018

An efficient framework for learning sentence representations.
CoRR, 2018

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis.
CoRR, 2018

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Hierarchical Long-term Video Prediction without Supervision.
Proceedings of the 35th International Conference on Machine Learning, 2018

Self-Imitation Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics.
Proceedings of the Computer Vision - ECCV 2018, 2018

Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sentence Ordering and Coherence Modeling using Recurrent Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.
CoRR, 2017

Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs.
CoRR, 2017

Learning Grasping Interaction with Geometry-aware 3D Representations.
CoRR, 2017

Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries.
CoRR, 2017

Learning to Generate Long-term Future via Hierarchical Prediction.
CoRR, 2017

Decomposing Motion and Content for Natural Video Sequence Prediction.
CoRR, 2017

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.
CoRR, 2017

Value Prediction Network.
CoRR, 2017

Weakly Supervised Semantic Segmentation using Web-Crawled Videos.
CoRR, 2017

Towards Understanding the Invertibility of Convolutional Neural Networks.
CoRR, 2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network.
CoRR, 2017

Value Prediction Network.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Towards Understanding the Invertibility of Convolutional Neural Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning to Generate Long-term Future via Hierarchical Prediction.
Proceedings of the 34th International Conference on Machine Learning, 2017

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploring the structure of a real-time, arbitrary neural artistic stylization network.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.
CoRR, 2016

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification.
CoRR, 2016

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis.
CoRR, 2016

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network.
CoRR, 2016

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision.
CoRR, 2016

Deep Variational Canonical Correlation Analysis.
CoRR, 2016

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units.
CoRR, 2016

Generative Adversarial Text to Image Synthesis.
CoRR, 2016

Learning Deep Representations of Fine-grained Visual Descriptions.
CoRR, 2016

Learning What and Where to Draw.
CoRR, 2016

Control of Memory, Active Perception, and Action in Minecraft.
CoRR, 2016

Sentence Ordering using Recurrent Neural Networks.
CoRR, 2016

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.
CoRR, 2016

Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning What and Where to Draw.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.
Proceedings of the NAACL HLT 2016, 2016

Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Generative Adversarial Text to Image Synthesis.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Control of Memory, Active Perception, and Action in Minecraft.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Attribute2Image: Conditional Image Generation from Visual Attributes.
Proceedings of the Computer Vision - ECCV 2016, 2016

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Deep Representations of Fine-Grained Visual Descriptions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Editorial introduction to the Neural Networks special issue on Deep Learning of Representations.
Neural Networks, 2015

Deep learning for detecting robotic grasps.
I. J. Robotics Res., 2015

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction.
CoRR, 2015

Attribute2Image: Conditional Image Generation from Visual Attributes.
CoRR, 2015

Action-Conditional Video Prediction using Deep Networks in Atari Games.
CoRR, 2015

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network.
CoRR, 2015

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Structured Output Representation using Deep Conditional Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Visual Analogy-Making.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Action-Conditional Video Prediction using Deep Networks in Atari Games.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Evaluation of output embeddings for fine-grained image classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping.
CoRR, 2014

Zero-Shot Learning with Structured Embeddings.
CoRR, 2014

Improved Multimodal Deep Learning with Variation of Information.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning to Disentangle Factors of Variation with Manifold Interaction.
Proceedings of the 31th International Conference on Machine Learning, 2014

Structured Recurrent Temporal Restricted Boltzmann Machines.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Guest Editors' Introduction: Special Section on Learning Deep Architectures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Deep Learning for Detecting Robotic Grasps
CoRR, 2013

Deep Learning for Detecting Robotic Grasps.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Robust Image Denoising with Multi-Column Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines.
Proceedings of the 30th International Conference on Machine Learning, 2013

Deep learning for robust feature generation in audiovisual emotion recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Online Incremental Feature Learning with Denoising Autoencoders.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficient and Exact MAP-MRF Inference using Branch and Bound.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learning to Align from Scratch.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Invariant Representations with Local Transformations.
Proceedings of the 29th International Conference on Machine Learning, 2012

An efficient branch-and-bound algorithm for optimal human pose estimation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning hierarchical representations for face verification with convolutional deep belief networks.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Unsupervised learning of hierarchical representations with convolutional deep belief networks.
Commun. ACM, 2011

A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Multimodal Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Efficient learning of sparse, distributed, convolutional feature representations for object recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
An integrated machine learning approach to stroke prediction.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Unsupervised feature learning for audio classification using convolutional deep belief networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Measuring Invariances in Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exponential Family Sparse Coding with Application to Self-taught Learning.
Proceedings of the IJCAI 2009, 2009

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2007
Sparse deep belief net model for visual area V2.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Self-taught learning: transfer learning from unlabeled data.
Proceedings of the Machine Learning, 2007

2006
Efficient sparse coding algorithms.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Quadruped Robot Obstacle Negotiation via Reinforcement Learning.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Efficient L1 Regularized Logistic Regression.
Proceedings of the Proceedings, 2006

2005
Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Spam Deobfuscation using a Hidden Markov Model.
Proceedings of the CEAS 2005, 2005


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