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Sungjun Cho
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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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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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Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning


Sep 26, 2022
HyunJae Lee, Gihyeon Lee, Junhwan Kim, Sungjun Cho, Dohyun Kim, Donggeun Yoo

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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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Equivariant Hypergraph Neural Networks


Aug 22, 2022
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

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* 29 pages, 2 figures 
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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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On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference


Nov 12, 2021
Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel

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