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Honglak Lee

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Unsupervised Task Graph Generation from Instructional Video Transcripts

Feb 17, 2023
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee

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Multimodal Subtask Graph Generation from Instructional Videos

Feb 17, 2023
Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee

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Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers

Jan 27, 2023
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee

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Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching

Jan 07, 2023
Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee

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Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program

Dec 25, 2022
Tiange Luo, Honglak Lee, Justin Johnson

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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders

Dec 14, 2022
Jongseong Jang, Daeun Kyung, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae, Edward Choi

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Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost

Oct 27, 2022
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

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UniCLIP: Unified Framework for Contrastive Language-Image Pre-training

Sep 27, 2022
Janghyeon Lee, Jongsuk Kim, Hyounguk Shon, Bumsoo Kim, Seung Hwan Kim, Honglak Lee, Junmo Kim

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Grouping-matrix based Graph Pooling with Adaptive Number of Clusters

Sep 07, 2022
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee

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Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks

Jul 20, 2022
Yijie Guo, Qiucheng Wu, Honglak Lee

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