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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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* Preprint 

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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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* 20 pages, 10 figures, NeurIPS 2022 

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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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* project page: https://tiangeluo.github.io/projectpages/shapecompiler.html 

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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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* 19 pages, 8 figures 

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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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* Neural Information Processing Systems (NeurIPS) 2022 

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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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* 10 pages, 3 figures 

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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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* Published in AAAI 2022 

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Pure Transformers are Powerful Graph Learners


Jul 06, 2022
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

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* 26 pages, 8 figures 

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