Hong-seok Lee
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Hong-seok Leeengineering Degrees
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Hong-seok Leecomputer-science Degrees
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Machine Learning
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Engineering Computer Science
Hong-seok Lee's Degrees
- PhD Computer Science Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering Seoul National University
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(Suggest an Edit or Addition)Hong-seok Lee's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- An Analysis of Single-Layer Networks in Unsupervised Feature Learning (2011) (3061)
- Efficient sparse coding algorithms (2006) (2794)
- Multimodal Deep Learning (2011) (2735)
- Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (2009) (2647)
- Generative Adversarial Text to Image Synthesis (2016) (2498)
- Learning Structured Output Representation using Deep Conditional Generative Models (2015) (2088)
- Self-taught learning: transfer learning from unlabeled data (2007) (1705)
- Deep learning for detecting robotic grasps (2013) (1342)
- Unsupervised feature learning for audio classification using convolutional deep belief networks (2009) (1143)
- A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks (2018) (1086)
- Sparse deep belief net model for visual area V2 (2007) (1066)
- Evaluation of output embeddings for fine-grained image classification (2014) (881)
- Learning Latent Dynamics for Planning from Pixels (2018) (866)
- Training Deep Neural Networks on Noisy Labels with Bootstrapping (2014) (813)
- Action-Conditional Video Prediction using Deep Networks in Atari Games (2015) (771)
- Attribute2Image: Conditional Image Generation from Visual Attributes (2015) (706)
- Learning Deep Representations of Fine-Grained Visual Descriptions (2016) (700)
- Similarity of Neural Network Representations Revisited (2019) (623)
- Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples (2017) (616)
- Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision (2016) (537)
- Learning What and Where to Draw (2016) (526)
- Data-Efficient Hierarchical Reinforcement Learning (2018) (520)
- Decomposing Motion and Content for Natural Video Sequence Prediction (2017) (498)
- Measuring Invariances in Deep Networks (2009) (442)
- Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units (2016) (435)
- An efficient framework for learning sentence representations (2018) (425)
- Learning hierarchical representations for face verification with convolutional deep belief networks (2012) (413)
- Efficient L1 Regularized Logistic Regression (2006) (403)
- Unsupervised learning of hierarchical representations with convolutional deep belief networks (2011) (371)
- Deep learning for robust feature generation in audiovisual emotion recognition (2013) (359)
- Learning to Generate Long-term Future via Hierarchical Prediction (2017) (353)
- Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning (2014) (342)
- Object Contour Detection with a Fully Convolutional Encoder-Decoder Network (2016) (316)
- Learning to Align from Scratch (2012) (309)
- Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis (2015) (303)
- Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks (2019) (298)
- Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis (2018) (294)
- Value Prediction Network (2017) (279)
- Deep Visual Analogy-Making (2015) (267)
- Control of Memory, Active Perception, and Action in Minecraft (2016) (262)
- Learning to Disentangle Factors of Variation with Manifold Interaction (2014) (247)
- A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image (2006) (245)
- Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion (2018) (223)
- Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning (2017) (218)
- Exploring the structure of a real-time, arbitrary neural artistic stylization network (2017) (209)
- Adaptive Multi-Column Deep Neural Networks with Application to Robust Image Denoising (2013) (207)
- Consistency Regularization for Generative Adversarial Networks (2019) (193)
- Self-Imitation Learning (2018) (189)
- Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction (2015) (189)
- Online Incremental Feature Learning with Denoising Autoencoders (2012) (183)
- Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling (2013) (181)
- Learning Invariant Representations with Local Transformations (2012) (179)
- Improved Multimodal Deep Learning with Variation of Information (2014) (178)
- Zero-Shot Entity Linking by Reading Entity Descriptions (2019) (169)
- Cross-Modal Contrastive Learning for Text-to-Image Generation (2021) (162)
- High-throughput identification of transcription start sites, conserved promoter motifs and predicted regulons (2007) (161)
- Unsupervised Discovery of Object Landmarks as Structural Representations (2018) (160)
- Neural Kinematic Networks for Unsupervised Motion Retargetting (2018) (153)
- Near-Optimal Representation Learning for Hierarchical Reinforcement Learning (2018) (152)
- Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network (2015) (146)
- Diversity-Sensitive Conditional Generative Adversarial Networks (2019) (145)
- Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification (2016) (139)
- An integrated machine learning approach to stroke prediction (2010) (138)
- Weakly Supervised Semantic Segmentation Using Web-Crawled Videos (2017) (138)
- Efficient learning of sparse, distributed, convolutional feature representations for object recognition (2011) (136)
- Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes (2007) (120)
- Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents (2016) (117)
- Deep Variational Canonical Correlation Analysis (2016) (112)
- Hierarchical Long-term Video Prediction without Supervision (2018) (111)
- SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing (2019) (110)
- Unsupervised Learning of Object Structure and Dynamics from Videos (2019) (109)
- Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild (2019) (109)
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning (2019) (108)
- MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics (2018) (103)
- Distilling Effective Supervision From Severe Label Noise (2019) (103)
- High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks (2019) (102)
- A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks (2015) (100)
- Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines (2013) (96)
- Content preserving text generation with attribute controls (2018) (93)
- Sentence Ordering and Coherence Modeling using Recurrent Neural Networks (2016) (92)
- Exponential Family Sparse Coding with Application to Self-taught Learning (2009) (89)
- Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations (2017) (89)
- Improved Consistency Regularization for GANs (2020) (87)
- Robust Inference via Generative Classifiers for Handling Noisy Labels (2019) (84)
- A Classification-Based Polyphonic Piano Transcription Approach Using Learned Feature Representations (2011) (84)
- Learning Hierarchical Semantic Image Manipulation through Structured Representations (2018) (75)
- Structured Recurrent Temporal Restricted Boltzmann Machines (2014) (72)
- Efficient Adversarial Training With Transferable Adversarial Examples (2019) (68)
- Adversarial Defense via Learning to Generate Diverse Attacks (2019) (67)
- Contingency-Aware Exploration in Reinforcement Learning (2018) (66)
- Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers (2012) (63)
- Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? (2019) (61)
- Quadruped robot obstacle negotiation via reinforcement learning (2006) (59)
- Towards Understanding the Invertibility of Convolutional Neural Networks (2017) (58)
- Spam Deobfuscation using a Hidden Markov Model (2005) (56)
- State Entropy Maximization with Random Encoders for Efficient Exploration (2021) (55)
- Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning (2020) (51)
- Predictive Information Accelerates Learning in RL (2020) (50)
- High-Fidelity Synthesis with Disentangled Representation (2020) (49)
- Hierarchical Novelty Detection for Visual Object Recognition (2018) (48)
- Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies (2018) (48)
- Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games (2016) (47)
- Estimating and Exploring the Product Form Design Space Using Deep Generative Models (2016) (47)
- Evolving Reinforcement Learning Algorithms (2021) (46)
- An efficient branch-and-bound algorithm for optimal human pose estimation (2012) (45)
- Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries (2017) (40)
- Generative Adversarial Self-Imitation Learning (2018) (39)
- Improving Design Preference Prediction Accuracy Using Feature Learning (2016) (34)
- Editorial introduction to the Neural Networks special issue on Deep Learning of Representations (2015) (34)
- Text-to-Image Generation Grounded by Fine-Grained User Attention (2020) (33)
- Addressee and Response Selection in Multi-Party Conversations with Speaker Interaction RNNs (2017) (33)
- Guest Editors' Introduction: Special Section on Learning Deep Architectures (2013) (32)
- Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines (2013) (30)
- Text as Neural Operator:Image Manipulation by Text Instruction (2020) (23)
- i-Mix: A Strategy for Regularizing Contrastive Representation Learning (2020) (23)
- Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks (2019) (21)
- Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks. (2020) (21)
- Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies (2020) (21)
- Sentence Ordering using Recurrent Neural Networks (2016) (20)
- Transformer Nets : Learning Single-View 3 D Object Reconstruction without 3 D Supervision (2016) (19)
- Efficient and Exact MAP-MRF Inference using Branch and Bound (2012) (19)
- An Ode to an ODE (2020) (18)
- Unsupervised feature learning via sparse hierarchical representations (2010) (18)
- Zero-Shot Learning with Structured Embeddings (2014) (16)
- Tutorial on Deep Learning and Applications (2010) (16)
- Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards (2020) (15)
- A quantitative model for identifying regions of design visual attraction and application to automobile styling (2016) (15)
- Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning (2020) (13)
- Time Dependence in Non-Autonomous Neural ODEs (2020) (13)
- Robust Image Denoising with Multi-Column Deep Neural Networks (2013) (13)
- Automatic correction of lithography hotspots with a deep generative model (2019) (12)
- A Simple Randomization Technique for Generalization in Deep Reinforcement Learning (2019) (12)
- Adversarial Environment Generation for Learning to Navigate the Web (2021) (11)
- Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy (2019) (11)
- What's in a Loss Function for Image Classification? (2020) (11)
- The impact of images on user clicks in product search (2012) (9)
- Few-shot Sequence Learning with Transformers (2020) (9)
- Self-Imitation Learning via Trajectory-Conditioned Policy for Hard-Exploration Tasks (2019) (8)
- Robust Determinantal Generative Classifier for Noisy Labels and Adversarial Attacks (2018) (7)
- Multitask Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies (2018) (7)
- Learning Grasping Interaction with Geometry-aware 3D Representations (2017) (7)
- CompressNet: Generative Compression at Extremely Low Bitrates (2020) (6)
- How Should an Agent Practice? (2019) (6)
- Learning hierarchical representations for face verification (2012) (6)
- Inferring Semantic Layout for Text-to-Image Synthesis (2018) (6)
- Incremental Learning with Unlabeled Data in the Wild (2019) (6)
- IMPROVING PREFERENCE PREDICTION ACCURACY WITH FEATURE LEARNING (2014) (6)
- Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence (2021) (5)
- Understanding and Diagnosing Vulnerability under Adversarial Attacks (2020) (5)
- BRPO: Batch Residual Policy Optimization (2020) (5)
- UniCLIP: Unified Framework for Contrastive Language-Image Pre-training (2022) (5)
- Supplementary Material : Online Incremental Feature Learning with Denoising Autoencoders (2012) (4)
- Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in First-person Simulated 3D Environments (2020) (3)
- Communicating Hierarchical Neural Controllers for Learning Zero-shot Task Generalization (2017) (3)
- Jointly Learning and Selecting Features via Conditional Point-wise Mixture RBMs (3)
- A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity (2021) (2)
- IEG: Robust Neural Network Training to Tackle Severe Label Noise (2019) (2)
- High Fidelity Video Prediction with Large Neural Nets (2019) (2)
- Supplementary Material : Zero-Shot Task Generalization with MultiTask Deep Reinforcement Learning (2017) (2)
- A Unified Framework for Detecting Out-of-Distribution and Adversarial Samples (2018) (2)
- Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation (2019) (2)
- Neural Task Graph Execution (2018) (1)
- Single View Corridor Reconstruction (2005) (1)
- Information Regularized Neural Networks (2018) (1)
- SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing Supplementary Materials (2020) (1)
- Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders (2022) (1)
- Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching (2023) (1)
- Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers (2023) (1)
- Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost (2022) (1)
- Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit (2016) (0)
- Hierarchical discriminative learning improves visual representations of biomedical microscopy (2023) (0)
- a 1 ′ s ොy 1 Pointer Network Decoder a 1 ′ a 2 ′ a n ′ s ොy n − 1 ොy 2 ~ a 2 ′ ොy (2018) (0)
- Unsupervised Dictionary Learning for Large-Scale Natural Image Classi cation (2014) (0)
- Shared Shared Task-specificTask-specific Loss Distillation Classification Distillation (2019) (0)
- Subgradient Optimization for Convex Multiparametric Programming (2015) (0)
- Deep determinantal generative classifier: robustness on noisy and adversarial samples (2019) (0)
- Hierarchical Novelty Detection for Visual Object Recognition Supplementary Material (2018) (0)
- IEG: Robust neural net training with severe label noises (2019) (0)
- REAL-TIME ARBITRARY NEURAL ARTISTIC STYLIZATION NETWORK 3 2 Structure of a low-dimensional representation of the embedding space (2017) (0)
- Unsupervised Hierarchical Video Prediction (2018) (0)
- RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects (2022) (0)
- Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program (2022) (0)
- High-throughput identification of transcription start sites , conserved promoter motifs , and regulons (2007) (0)
- Learning to predict grasping interaction with geometry-aware 3 D representations (2010) (0)
- NIMG-69. RAPID INTRAOPERATIVE DIAGNOSIS OF GLIOMA RECURRENCE USING STIMULATED RAMAN HISTOLOGY AND DEEP NEURAL NETWORKS (2019) (0)
- Generating Multimodal Human Dynamics from Transformation-regularized Representations (2018) (0)
- A SIMPLE RANDOMIZATION TECHNIQUE (2019) (0)
- Recurrent Neural Networks (2017) (0)
- C L ] 7 M ar 2 01 8 A N EFFICIENT FRAMEWORK FOR LEARNING SENTENCE REPRESENTATIONS (0)
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