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What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning


Apr 07, 2022
Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jarosław Błasiok, Preetum Nakkiran

* First two authors contributed equally 

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Understanding Rare Spurious Correlations in Neural Networks


Feb 10, 2022
Yao-Yuan Yang, Kamalika Chaudhuri


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TorchAudio: Building Blocks for Audio and Speech Processing


Oct 28, 2021
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Anjali Chourdia, Artyom Astafurov, Caroline Chen, Ching-Feng Yeh, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jay Mahadeokar, Jeff Hwang, Ji Chen, Peter Goldsborough, Prabhat Roy, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair, Yangyang Shi

* Submitted to ICASSP 2022 

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Connecting Interpretability and Robustness in Decision Trees through Separation


Feb 14, 2021
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri


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Close Category Generalization


Nov 17, 2020
Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri


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Adversarial Robustness Through Local Lipschitzness


Apr 16, 2020
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri


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Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits


Jun 07, 2019
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri


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Cost-Sensitive Reference Pair Encoding for Multi-Label Learning


Oct 26, 2018
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin

* Accepted in 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018 

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Deep Learning with a Rethinking Structure for Multi-label Classification


Feb 05, 2018
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin


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libact: Pool-based Active Learning in Python


Oct 01, 2017
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin


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