Honglak Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
140
Venues
22
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*ICML27 papers
- A*CVPR26 papers
- A*ICLR18 papers
- A*AAAI14 papers
- A*EMNLP9 papers
- A*ACL7 papers
- A*ICCV6 papers
- ANAACL5 papers
- A*ECCV5 papers
- A*IJCAI5 papers
- AWACV3 papers
- AEACL2 papers
- A*KDD2 papers
- MulticonferenceICASSP2 papers
- A*ICRA2 papers
- CICORES1 paper
- AInterspeech1 paper
- AIROS1 paper
- AUAI1 paper
- ABMVC1 paper
- ASDM1 paper
- CISRR1 paper
Papers
140 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance. | Yao Fu, Ran Qiu, Xinhe Wang, Jacob Sansom, Sathvika Ayyappa Prabhu, Huijie Tang, Jaekyeom Kim, Sungryull Sohn, Honglak Lee |
| 2026 | EACL | IRPO: Implicit Policy Regularized Preference Optimization. | Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee |
| 2025 | AAAI | 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. | Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee |
| 2025 | AAAI | Step-Calibrated Diffusion for Biomedical Optical Image Restoration. | Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Zaman Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon |
| 2025 | ACL | Interactive and Expressive Code-Augmented Planning with Large Language Models. | Anthony Zhe Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee |
| 2025 | CVPR | Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents. | Yunseok Jang, Yeda Song, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Dong-Ki Kim, Kyunghoon Bae, Honglak Lee |
| 2025 | EMNLP | Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? | Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea |
| 2025 | ICCV | Visual Test-Time Scaling for GUI Agent Grounding. | Tiange Luo, Lajanugen Logeswaran, Justin Johnson, Honglak Lee |
| 2025 | ICLR | Subtask-Aware Visual Reward Learning from Segmented Demonstrations. | Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee |
| 2025 | ICML | Probing Visual Language Priors in VLMs. | Tiange Luo, Ang Cao, Gunhee Lee, Justin Johnson, Honglak Lee |
| 2025 | ICORES | Hierarchical Decomposition Framework for Steiner Tree Packing Problem. | Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn |
| 2025 | KDD | MapExplorer: New Content Generation from Low-Dimensional Visualizations. | Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei |
| 2025 | NAACL | MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. | Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei |
| 2024 | AAAI | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee |
| 2024 | AAAI | Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. | Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee |
| 2024 | ACL | Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. | Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae |
| 2024 | ACL | Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. | Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung |
| 2024 | ACL | Small Language Models Need Strong Verifiers to Self-Correct Reasoning. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang |
| 2024 | CVPR | Super-resolution of biomedical volumes with 2D supervision. | Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon |
| 2024 | CVPR | NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. | Taehoon Kim, Pyunghwan Ahn, Sangyun Kim, Sihaeng Lee, Mark Marsden, Alessandra Sala, Seung Hwan Kim, Bohyung Han, Kyoung Mu Lee, Honglak Lee, Kyounghoon Bae, Xiangyu Wu, Yi Gao, Hailiang Zhang, Yang Yang, Weili Guo, Jianfeng Lu, Youngtaek Oh, Jae-Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim, Wooyoung Kang, Won Young Jhoo, Byungseok Roh, Jonghwan Mun, Solgil Oh, Kenan Emir Ak, Gwang-Gook Lee, Yan Xu, Mingwei Shen, Kyomin Hwang, Wonsik Shin, Kamin Lee, Wonhark Park, Dongkwan Lee, Nojun Kwak, Yujin Wang, Yimu Wang, Tiancheng Gu, Xingchang Lv, Mingmao Sun |
| 2024 | CVPR | Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. | Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee |
| 2024 | ECCV | View Selection for 3D Captioning via Diffusion Ranking. | Tiange Luo, Justin Johnson, Honglak Lee |
| 2024 | EMNLP | Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. | Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2024 | EMNLP | Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents. | Jaekyeom Kim, Dong-Ki Kim, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee |
| 2024 | EMNLP | Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks. | Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae |
| 2024 | ICML | Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. | Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2024 | NAACL | Code Models are Zero-shot Precondition Reasoners. | Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee |
| 2024 | NAACL | Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. | Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea |
| 2023 | AAAI | Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. | Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee |
| 2023 | AAAI | Simple and Effective Synthesis of Indoor 3D Scenes. | Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson |
| 2023 | AAAI | Learning Compositional Tasks from Language Instructions. | Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee |
| 2023 | ACL | Few-shot Reranking for Multi-hop QA via Language Model Prompting. | Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | ACL | Unsupervised Task Graph Generation from Instructional Video Transcripts. | Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee |
| 2023 | CVPR | Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy. | Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon |
| 2023 | EMNLP | GRACE: Discriminator-Guided Chain-of-Thought Reasoning. | Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | EMNLP | A Picture is Worth a Thousand Words: Language Models Plan from Pixels. | Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee |
| 2023 | EMNLP | TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. | Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee |
| 2023 | EMNLP | Merging Generated and Retrieved Knowledge for Open-Domain QA. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | EMNLP | From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. | Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai |
| 2023 | ICASSP | Lightweight Feature Encoder for Wake-Up Word Detection Based on Self-Supervised Speech Representation. | Hyungjun Lim, Younggwan Kim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee |
| 2023 | ICCV | Story Visualization by Online Text Augmentation with Context Memory. | Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi |
| 2023 | ICLR | Composing Task Knowledge With Modular Successor Feature Approximators. | Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh |
| 2023 | ICLR | Preference Transformer: Modeling Human Preferences using Transformers for RL. | Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2023 | ICML | Go Beyond Imagination: Maximizing Episodic Reachability with World Models. | Yao Fu, Run Peng, Honglak Lee |
| 2023 | Interspeech | Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers. | Younggwan Kim, Hyungjun Lim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee |
| 2023 | WACV | Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. | Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim |
| 2022 | AAAI | Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. | Yijie Guo, Qiucheng Wu, Honglak Lee |
| 2022 | AAAI | Learning Parameterized Task Structure for Generalization to Unseen Entities. | Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee |
| 2022 | CVPR | L-Verse: Bidirectional Generation Between Image and Text. | Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae |
| 2022 | ICLR | Lipschitz-constrained Unsupervised Skill Discovery. | Seohong Park, Jongwook Choi, Jaekyeom Kim, Honglak Lee, Gunhee Kim |
| 2022 | ICLR | SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. | Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2022 | ICML | Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. | Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung |
| 2022 | IROS | Fully Convolutional Transformer with Local-Global Attention. | Sihaeng Lee, Eojindl Yi, Janghyeon Lee, Jinsu Yoo, Honglak Lee, Seung Hwan Kim |
| 2022 | NAACL | Few-shot Subgoal Planning with Language Models. | Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee |
| 2022 | UAI | Fast inference and transfer of compositional task structures for few-shot task generalization. | Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee |
| 2021 | AAAI | Improved Consistency Regularization for GANs. | Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang |
| 2021 | CVPR | Cross-Modal Contrastive Learning for Text-to-Image Generation. | Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang |
| 2021 | ICCV | Pathdreamer: A World Model for Indoor Navigation. | Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson |
| 2021 | ICLR | Evolving Reinforcement Learning Algorithms. | John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust |
| 2021 | ICLR | Batch Reinforcement Learning Through Continuation Method. | Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen |
| 2021 | ICLR | Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. | Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong |
| 2021 | ICLR | i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. | Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee |
| 2021 | ICML | Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning. | Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu |
| 2021 | ICML | State Entropy Maximization with Random Encoders for Efficient Exploration. | Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2021 | ICML | Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks. | Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee |
| 2021 | ICML | Learning to Weight Imperfect Demonstrations. | Yunke Wang, Chang Xu, Bo Du, Honglak Lee |
| 2021 | IJCAI | Reinforcement Learning for Sparse-Reward Object-Interaction Tasks in a First-person Simulated 3D Environment. | Wilka Carvalho, Anthony Liang, Kimin Lee, Sungryull Sohn, Honglak Lee, Richard L. Lewis, Satinder Singh |
| 2021 | WACV | Text-to-Image Generation Grounded by Fine-Grained User Attention. | Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang |
| 2020 | AAAI | How Should an Agent Practice? | Janarthanan Rajendran, Richard L. Lewis, Vivek Veeriah, Honglak Lee, Satinder Singh |
| 2020 | CVPR | Distilling Effective Supervision From Severe Label Noise. | Zizhao Zhang, Han Zhang, Sercan mer Arik, Honglak Lee, Tomas Pfister |
| 2020 | CVPR | Efficient Adversarial Training With Transferable Adversarial Examples. | Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash |
| 2020 | ECCV | High-Fidelity Synthesis with Disentangled Representation. | Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee |
| 2020 | ECCV | SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing. | Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li |
| 2020 | ICLR | Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. | Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee |
| 2020 | ICLR | Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies. | Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Honglak Lee |
| 2020 | ICLR | Consistency Regularization for Generative Adversarial Networks. | Han Zhang, Zizhao Zhang, Augustus Odena, Honglak Lee |
| 2020 | ICML | Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. | Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin |
| 2020 | IJCAI | BRPO: Batch Residual Policy Optimization. | Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier |
| 2020 | WACV | CompressNet: Generative Compression at Extremely Low Bitrates. | Shubham Dash, Giridharan Kumaravelu, Vijayakrishna Naganoor, Suraj Kiran Raman, Aditya Ramesh, Honglak Lee |
| 2019 | ACL | Zero-Shot Entity Linking by Reading Entity Descriptions. | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee |
| 2019 | CVPR | Incremental Learning with Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICCV | Adversarial Defense via Learning to Generate Diverse Attacks. | Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee |
| 2019 | ICCV | Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICLR | Contingency-Aware Exploration in Reinforcement Learning. | Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee |
| 2019 | ICLR | Near-Optimal Representation Learning for Hierarchical Reinforcement Learning. | Ofir Nachum, Shixiang Gu, Honglak Lee, Sergey Levine |
| 2019 | ICLR | Diversity-Sensitive Conditional Generative Adversarial Networks. | Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee |
| 2019 | ICML | Learning Latent Dynamics for Planning from Pixels. | Danijar Hafner, Timothy P. Lillicrap, Ian Fischer, Ruben Villegas, David Ha, Honglak Lee, James Davidson |
| 2019 | ICML | Similarity of Neural Network Representations Revisited. | Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton |
| 2019 | ICML | Robust Inference via Generative Classifiers for Handling Noisy Labels. | Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin |
| 2018 | AAAI | Sentence Ordering and Coherence Modeling using Recurrent Neural Networks. | Lajanugen Logeswaran, Honglak Lee, Dragomir R. Radev |
| 2018 | AAAI | Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs. | Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev |
| 2018 | CVPR | Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. | Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee |
| 2018 | CVPR | Hierarchical Novelty Detection for Visual Object Recognition. | Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee |
| 2018 | CVPR | Neural Kinematic Networks for Unsupervised Motion Retargetting. | Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee |
| 2018 | CVPR | Unsupervised Discovery of Object Landmarks as Structural Representations. | Yuting Zhang, Yijie Guo, Yixin Jin, Yijun Luo, Zhiyuan He, Honglak Lee |
| 2018 | ECCV | MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics. | Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee |
| 2018 | ICLR | Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. | Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin |
| 2018 | ICLR | An efficient framework for learning sentence representations. | Lajanugen Logeswaran, Honglak Lee |
| 2018 | ICML | Self-Imitation Learning. | Junhyuk Oh, Yijie Guo, Satinder Singh, Honglak Lee |
| 2018 | ICML | Hierarchical Long-term Video Prediction without Supervision. | Nevan Wichers, Ruben Villegas, Dumitru Erhan, Honglak Lee |
| 2018 | ICRA | Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. | Xinchen Yan, Jasmine Hsu, Mohammad Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee |
| 2017 | BMVC | Exploring the structure of a real-time, arbitrary neural artistic stylization network. | Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens |
| 2017 | CVPR | Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. | Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han |
| 2017 | CVPR | Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries. | Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee |
| 2017 | ICLR | Decomposing Motion and Content for Natural Video Sequence Prediction. | Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee |
| 2017 | ICML | Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning. | Junhyuk Oh, Satinder Singh, Honglak Lee, Pushmeet Kohli |
| 2017 | ICML | Learning to Generate Long-term Future via Hierarchical Prediction. | Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, Honglak Lee |
| 2017 | IJCAI | Towards Understanding the Invertibility of Convolutional Neural Networks. | Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee |
| 2016 | CVPR | Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network. | Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han |
| 2016 | CVPR | Learning Deep Representations of Fine-Grained Visual Descriptions. | Scott E. Reed, Zeynep Akata, Honglak Lee, Bernt Schiele |
| 2016 | CVPR | Object Contour Detection with a Fully Convolutional Encoder-Decoder Network. | Jimei Yang, Brian L. Price, Scott Cohen, Honglak Lee, Ming-Hsuan Yang |
| 2016 | ECCV | Attribute2Image: Conditional Image Generation from Visual Attributes. | Xinchen Yan, Jimei Yang, Kihyuk Sohn, Honglak Lee |
| 2016 | ICML | Control of Memory, Active Perception, and Action in Minecraft. | Junhyuk Oh, Valliappa Chockalingam, Satinder Singh, Honglak Lee |
| 2016 | ICML | Generative Adversarial Text to Image Synthesis. | Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee |
| 2016 | ICML | Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units. | Wenling Shang, Kihyuk Sohn, Diogo Almeida, Honglak Lee |
| 2016 | ICML | Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. | Yuting Zhang, Kibok Lee, Honglak Lee |
| 2016 | IJCAI | Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games. | Xiaoxiao Guo, Satinder Singh, Richard L. Lewis, Honglak Lee |
| 2016 | NAACL | Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents. | Rui Zhang, Honglak Lee, Dragomir R. Radev |
| 2016 | SDM | Discriminative Training of Structured Dictionaries via Block Orthogonal Matching Pursuit. | Wenling Shang, Kihyuk Sohn, Honglak Lee, Anna C. Gilbert |
| 2015 | CVPR | Evaluation of output embeddings for fine-grained image classification. | Zeynep Akata, Scott E. Reed, Daniel Walter, Honglak Lee, Bernt Schiele |
| 2015 | CVPR | Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction. | Yuting Zhang, Kihyuk Sohn, Ruben Villegas, Gang Pan, Honglak Lee |
| 2014 | ICML | Structured Recurrent Temporal Restricted Boltzmann Machines. | Roni Mittelman, Benjamin Kuipers, Silvio Savarese, Honglak Lee |
| 2014 | ICML | Learning to Disentangle Factors of Variation with Manifold Interaction. | Scott E. Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee |
| 2013 | CVPR | Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling. | Andrew Kae, Kihyuk Sohn, Honglak Lee, Erik G. Learned-Miller |
| 2013 | CVPR | Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines. | Roni Mittelman, Honglak Lee, Benjamin Kuipers, Silvio Savarese |
| 2013 | ICASSP | Deep learning for robust feature generation in audiovisual emotion recognition. | Yelin Kim, Honglak Lee, Emily Mower Provost |
| 2013 | ICML | Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines. | Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee |
| 2012 | CVPR | Learning hierarchical representations for face verification with convolutional deep belief networks. | Gary B. Huang, Honglak Lee, Erik G. Learned-Miller |
| 2012 | CVPR | An efficient branch-and-bound algorithm for optimal human pose estimation. | Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese |
| 2012 | ICML | Learning Invariant Representations with Local Transformations. | Kihyuk Sohn, Honglak Lee |
| 2011 | ICCV | Efficient learning of sparse, distributed, convolutional feature representations for object recognition. | Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Alfred O. Hero III |
| 2011 | ICML | Multimodal Deep Learning. | Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, Andrew Y. Ng |
| 2010 | KDD | An integrated machine learning approach to stroke prediction. | Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Lee |
| 2009 | ICML | Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. | Honglak Lee, Roger B. Grosse, Rajesh Ranganath, Andrew Y. Ng |
| 2009 | IJCAI | Exponential Family Sparse Coding with Application to Self-taught Learning. | Honglak Lee, Rajat Raina, Alex Teichman, Andrew Y. Ng |
| 2007 | ICML | Self-taught learning: transfer learning from unlabeled data. | Rajat Raina, Alexis J. Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng |
| 2006 | AAAI | Efficient L1 Regularized Logistic Regression. | Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng |
| 2006 | CVPR | A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image. | Erick Delage, Honglak Lee, Andrew Y. Ng |
| 2006 | ICRA | Quadruped Robot Obstacle Negotiation via Reinforcement Learning. | Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Singh, Andrew Y. Ng |
| 2005 | ISRR | Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes. | Erick Delage, Honglak Lee, Andrew Y. Ng |