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Discrete Key-Value Bottleneck


Jul 22, 2022
Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf


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Robustness Implies Generalization via Data-Dependent Generalization Bounds


Jun 27, 2022
Kenji Kawaguchi, Zhun Deng, Kyle Luh, Jiaoyang Huang

* Accepted by ICML 2022, and selected for ICML long presentation (top 2% of submissions) 

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Set-based Meta-Interpolation for Few-Task Meta-Learning


May 20, 2022
Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

* First two authors contributed equally. Name order decided by a coin toss 

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Simplicial Embeddings in Self-Supervised Learning and Downstream Classification


Apr 01, 2022
Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron Courville

* 22 pages, 5 figures, 5 tables, Preprint 

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EIGNN: Efficient Infinite-Depth Graph Neural Networks


Feb 22, 2022
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao

* NeurIPS 2021 Camera Ready 

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Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization


Feb 02, 2022
Dianbo Liu, Alex Lamb, Xu Ji, Pascal Notsawo, Mike Mozer, Yoshua Bengio, Kenji Kawaguchi


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Multi-Task Learning as a Bargaining Game


Feb 02, 2022
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya


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ExpertNet: A Symbiosis of Classification and Clustering


Jan 17, 2022
Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan

* 16 pages, 3 figures 

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Training Free Graph Neural Networks for Graph Matching


Jan 14, 2022
Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua

* Main paper 11 papes 

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Noether Networks: Meta-Learning Useful Conserved Quantities


Dec 06, 2021
Ferran Alet, Dylan Doblar, Allan Zhou, Joshua Tenenbaum, Kenji Kawaguchi, Chelsea Finn

* Accepted to NeurIPS '21. The first two authors contributed equally 

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