Honglak Lee

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 279

Top Venues

CoRR

NeurIPS

ICML

CVPR

Publications

Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. CoRR (2024)
Cheng Jiang, Alexander Gedeon, Yiwei Lyu, Eric Landgraf, Yufeng Zhang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Honglak Lee, Todd C. Hollon
Super-resolution of biomedical volumes with 2D supervision. CoRR (2024)
Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. CoRR (2024)
Yiwei Lyu, Sung Jik Cha, Cheng Jiang, Asadur Chowdury, Xinhai Hou, Edward S. Harake, Akhil Kondepudi, Christian W. Freudiger, Honglak Lee, Todd C. Hollon
Step-Calibrated Diffusion for Biomedical Optical Image Restoration. CoRR (2024)
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR (2024)
Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks. CoRR (2024)
Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. AAAI (2024)
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. NAACL-HLT (2024)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. CoRR (2024)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
Small Language Models Need Strong Verifiers to Self-Correct Reasoning. ACL (Findings) (2024)
Tiange Luo, Justin Johnson, Honglak Lee
View Selection for 3D Captioning via Diffusion Ranking. CoRR (2024)
Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
AutoGuide: Automated Generation and Selection of State-Aware Guidelines for Large Language Model Agents. CoRR (2024)
Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. CoRR (2024)
Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. NAACL-HLT (2024)
Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury, Honglak Lee, Todd C. Hollon
A self-supervised framework for learning whole slide representations. CoRR (2024)
Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. ACL (Findings) (2024)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. AAAI (2024)
Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. ACL (1) (2024)
Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. CoRR (2023)
Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation. NeurIPS (2023)
Lajanugen Logeswaran, Wilka Carvalho, Honglak Lee
Learning Compositional Tasks from Language Instructions. AAAI (2023)
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. CoRR (2023)
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution. WACV (2023)
Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
Composing Task Knowledge With Modular Successor Feature Approximators. ICLR (2023)
Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi
Story Visualization by Online Text Augmentation with Context Memory. ICCV (2023)
Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
Hierarchical discriminative learning improves visual representations of biomedical microscopy. CoRR (2023)
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. AAAI (2023)
Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
Scalable 3D Captioning with Pretrained Models. NeurIPS (2023)
Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi
Story Visualization by Online Text Augmentation with Context Memory. CoRR (2023)
Tiange Luo, Chris Rockwell, Honglak Lee, Justin Johnson
Scalable 3D Captioning with Pretrained Models. CoRR (2023)
Yao Fu, Run Peng, Honglak Lee
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. CoRR (2023)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Merging Generated and Retrieved Knowledge for Open-Domain QA. CoRR (2023)
Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. CoRR (2023)
Yao Fu, Run Peng, Honglak Lee
Go Beyond Imagination: Maximizing Episodic Reachability with World Models. ICML (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. NeurIPS (2023)
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
Unsupervised Task Graph Generation from Instructional Video Transcripts. CoRR (2023)
Cheng Jiang, Xinhai Hou, Akhil Kondepudi, Asadur Chowdury, Christian W. Freudiger, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy. CVPR (2023)
Hyungjun Lim, Younggwan Kim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee
Lightweight feature encoder for wake-up word detection based on self-supervised speech representation. CoRR (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. CoRR (2023)
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, Woo-Young 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
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning. CoRR (2023)
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models. NeurIPS (2023)
Wilka Carvalho, Angelos Filos, Richard L. Lewis, Honglak Lee, Satinder Singh
Composing Task Knowledge with Modular Successor Feature Approximators. CoRR (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. CoRR (2023)
Tiange Luo, Honglak Lee, Justin Johnson
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. Trans. Mach. Learn. Res. 2023 (2023)
Todd C. Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian W. Freudiger, Honglak Lee, Daniel A. Orringer
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. CoRR (2023)
Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson
Simple and Effective Synthesis of Indoor 3D Scenes. AAAI (2023)
Younggwan Kim, Hyungjun Lim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee
Investigation of Training Mute-Expressive End-to-End Speech Separation Networks for an Unknown Number of Speakers. INTERSPEECH (2023)
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
Unsupervised Task Graph Generation from Instructional Video Transcripts. ACL (Findings) (2023)
Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning. CoRR (2023)
Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee
Multimodal Subtask Graph Generation from Instructional Videos. CoRR (2023)
Hyungjun Lim, Younggwan Kim, Kiho Yeom, Eunjoo Seo, Hoodong Lee, Stanley Jungkyu Choi, Honglak Lee
Lightweight Feature Encoder for Wake-Up Word Detection Based on Self-Supervised Speech Representation. ICASSP (2023)
Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee
Fine-grained Text Style Transfer with Diffusion-Based Language Models. RepL4NLP@ACL (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. EMNLP (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Few-shot Reranking for Multi-hop QA via Language Model Prompting. ACL (1) (2023)
Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee
Guide Your Agent with Adaptive Multimodal Rewards. CoRR (2023)
Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd C. Hollon, Honglak Lee
Fine-grained Text Style Transfer with Diffusion-Based Language Models. CoRR (2023)
Sihan Xu, Ziqiao Ma, Yidong Huang, Honglak Lee, Joyce Chai
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation. CoRR (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
GRACE: Discriminator-Guided Chain-of-Thought Reasoning. EMNLP (Findings) (2023)
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers. CoRR (2023)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Merging Generated and Retrieved Knowledge for Open-Domain QA. EMNLP (2023)
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. CoRR (2023)
Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. EMNLP (2023)
Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
Preference Transformer: Modeling Human Preferences using Transformers for RL. ICLR (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Exploring Demonstration Ensembling for In-context Learning. CoRR (2023)
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. NeurIPS (2023)
Anthony Z. Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. CoRR (2023)
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR (2023)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
Discriminator-Guided Multi-step Reasoning with Language Models. CoRR (2023)
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
Code Models are Zero-shot Precondition Reasoners. CoRR (2023)
Anthony Liu, Lajanugen Logeswaran, Sungryull Sohn, Honglak Lee
A Picture is Worth a Thousand Words: Language Models Plan from Pixels. EMNLP (2023)
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues. CoRR (2023)
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
Combining Behaviors with the Successor Features Keyboard. NeurIPS (2023)
Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. ICML (2022)
Jinsu Yoo, Taehoon Kim, Sihaeng Lee, Seung Hwan Kim, Honglak Lee, Tae Hyun Kim
Rich CNN-Transformer Feature Aggregation Networks for Super-Resolution. CoRR (2022)
Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee
Few-shot Subgoal Planning with Language Models. NAACL-HLT (2022)
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. CoRR (2022)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. ICLR (2022)
Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. CoRR (2022)
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters. CoRR (2022)
Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae
Context aware Named Entity Recognition and Relation Extraction with Domain-specific language model. CLEF (Working Notes) (2022)
Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee
Fast inference and transfer of compositional task structures for few-shot task generalization. UAI (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS (2022)
Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology. CoRR (2022)
Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee
Learning Parameterized Task Structure for Generalization to Unseen Entities. AAAI (2022)
Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae
L-Verse: Bidirectional Generation Between Image and Text. CVPR (2022)
Jing Yu Koh, Harsh Agrawal, Dhruv Batra, Richard Tucker, Austin Waters, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson
Simple and Effective Synthesis of Indoor 3D Scenes. CoRR (2022)
Cheng Jiang, Asadur Chowdury, Xinhai Hou, Akhil Kondepudi, Christian W. Freudiger, Kyle Conway, Sandra Camelo-Piragua, Daniel A. Orringer, Honglak Lee, Todd C. Hollon
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology. NeurIPS (2022)
Yuan Li, Biaoyan Fang, Jiayuan He, Hiyori Yoshikawa, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Zubair Afzal, Zenan Zhai, Kojiro Machi, Masaharu Yoshioka, Youngrok Jang, Hosung Song, Junho Lee, Gyeonghun Kim, Yireun Kim, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae, Darshini Mahendran, Christina Tang, Bridget T. McInnes, Timothy Baldwin, Karin Verspoor
Extended Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents. CLEF (Working Notes) (2022)
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. CoRR (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR (2022)
Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. NeurIPS (2022)
Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
Is Continual Learning Truly Learning Representations Continually? CoRR (2022)
Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. NeurIPS (2022)
Tiange Luo, Honglak Lee, Justin Johnson
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program. CoRR (2022)
Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee
Learning Parameterized Task Structure for Generalization to Unseen Entities. CoRR (2022)
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training. NeurIPS (2022)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. CoRR (2022)
Yijie Guo, Qiucheng Wu, Honglak Lee
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. CoRR (2022)
Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders. CoRR (2022)
Yunseok Jang, Ruben Villegas, Jimei Yang, Duygu Ceylan, Xin Sun, Honglak Lee
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects. CoRR (2022)

Honglak Lee.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Honglak Lee