Yao-Yuan Yang

According to our database, Yao-Yuan Yang authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mitigating LLM Hallucinations via Conformal Abstention.

Yasin Abbasi-Yadkori, Ilja Kuzborskij, David Stutz, András György, Adam Fisch, Arnaud Doucet, Iuliya Beloshapka, Wei-Hung Weng, Yao-Yuan Yang, Csaba Szepesvári, Ali Taylan Cemgil, Nenad Tomasev

CoRR, 2024

2023

Probing Predictions on OOD Images via Nearest Categories.

Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri

Trans. Mach. Learn. Res., 2023

2022

A Principled Approach to Trustworthy Machine Learning

Yao-Yuan Yang

PhD thesis, 2022

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

Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran

CoRR, 2022

Understanding Rare Spurious Correlations in Neural Networks.

Yao-Yuan Yang, Kamalika Chaudhuri

CoRR, 2022

What You See is What You Get: Principled Deep Learning via Distributional Generalization.

Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Torchaudio: Building Blocks for Audio and Speech Processing.

Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Artyom Astafurov, Caroline Chen, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z. Yang, Jason Lian, Jeff Hwang, Ji Chen, Peter Goldsborough, Sean Narenthiran, Shinji Watanabe, Soumith Chintala, Vincent Quenneville-Bélair

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Hide and Seek: Choices of Virtual Backgrounds in Video Chats and Their Effects on Perception.

Angel Hsing-Chi Hwang, Cheng Yao Wang, Yao-Yuan Yang, Andrea Stevenson Won

Proc. ACM Hum. Comput. Interact., 2021

TorchAudio: Building Blocks for Audio and Speech Processing.

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

CoRR, 2021

Connecting Interpretability and Robustness in Decision Trees through Separation.

Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Close Category Generalization.

Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri

CoRR, 2020

Adversarial Robustness Through Local Lipschitzness.

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

CoRR, 2020

PABLO: Helping Novices Debug Python Code Through Data-Driven Fault Localization.

Benjamin Cosman, Madeline Endres, Georgios Sakkas, Leon Medvinsky, Yao-Yuan Yang, Ranjit Jhala, Kamalika Chaudhuri, Westley Weimer

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

A Closer Look at Accuracy vs. Robustness.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robustness for Non-Parametric Classification: A Generic Attack and Defense.

Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

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

Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri

CoRR, 2019

Deep Learning with a Rethinking Structure for Multi-label Classification.

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

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

libact: Pool-based Active Learning in Python.

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

CoRR, 2017

2016

Cost-Sensitive Random Pair Encoding for Multi-Label Classification.

Yao-Yuan Yang, Chih-Wei Chang, Hsuan-Tien Lin

CoRR, 2016