Yao-Yuan Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Fault Localization

Tensor Based Morphometry

Top Venues

Publications

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
Mitigating LLM Hallucinations via Conformal Abstention. CoRR (2024)
Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri
Probing Predictions on OOD Images via Nearest Categories. Trans. Mach. Learn. Res. 2023 (2023)
Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning. CoRR (2022)
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
Torchaudio: Building Blocks for Audio and Speech Processing. ICASSP (2022)
Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran
What You See is What You Get: Principled Deep Learning via Distributional Generalization. NeurIPS (2022)
Yao-Yuan Yang, Kamalika Chaudhuri
Understanding Rare Spurious Correlations in Neural Networks. CoRR (2022)
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR (2021)
Angel Hsing-Chi Hwang, Cheng Yao Wang, Yao-Yuan Yang, Andrea Stevenson Won
Hide and Seek: Choices of Virtual Backgrounds in Video Chats and Their Effects on Perception. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (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
TorchAudio: Building Blocks for Audio and Speech Processing. CoRR (2021)
Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
Connecting Interpretability and Robustness in Decision Trees through Separation. ICML (2021)
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Russ R. Salakhutdinov, Kamalika Chaudhuri
A Closer Look at Accuracy vs. Robustness. NeurIPS (2020)
Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri
Close Category Generalization. CoRR (2020)
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri
Robustness for Non-Parametric Classification: A Generic Attack and Defense. AISTATS (2020)
Benjamin Cosman, Madeline Endres, Georgios Sakkas, Leon Medvinsky, Yao-Yuan Yang, Ranjit Jhala, Kamalika Chaudhuri, Westley Weimer
PABLO: Helping Novices Debug Python Code Through Data-Driven Fault Localization. SIGCSE (2020)
Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri
Adversarial Robustness Through Local Lipschitzness. CoRR (2020)
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin
Deep Learning with a Rethinking Structure for Multi-label Classification. ACML (2019)
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri
Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. CoRR (2019)
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. PAKDD (1) (2018)
Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin
Deep Learning with a Rethinking Structure for Multi-label Classification. CoRR (2018)
Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin
libact: Pool-based Active Learning in Python. CoRR (2017)
Yao-Yuan Yang, Chih-Wei Chang, Hsuan-Tien Lin
Cost-Sensitive Random Pair Encoding for Multi-Label Classification. CoRR (2016)