Cost-Sensitive Random Pair Encoding for Multi-Label Classification. - Yao-Yuan Yang; Chih-Wei Chang; Hsuan-Tien Lin (CoRR, 2016)

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)

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. - Yao-Yuan Yang; Kuan-Hao Huang; Chih-Wei Chang; Hsuan-Tien Lin (PAKDD (1), 2018)

Deep Learning with a Rethinking Structure for Multi-label Classification. - Yao-Yuan Yang; Yi-An Lin; Hong-Min Chu; Hsuan-Tien Lin (ACML, 2019)

Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. - Yao-Yuan Yang; Cyrus Rashtchian; Yizhen Wang; Kamalika Chaudhuri (CoRR, 2019)

Robustness for Non-Parametric Classification: A Generic Attack and Defense. - Yao-Yuan Yang; Cyrus Rashtchian; Yizhen Wang; Kamalika Chaudhuri (AISTATS, 2020)

A Closer Look at Accuracy vs. Robustness. - Yao-Yuan Yang; Cyrus Rashtchian; Hongyang Zhang 001; Ruslan Salakhutdinov; Kamalika Chaudhuri (NeurIPS, 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 (SIGCSE, 2020)

Adversarial Robustness Through Local Lipschitzness. - Yao-Yuan Yang; Cyrus Rashtchian; Hongyang Zhang 001; Ruslan Salakhutdinov; Kamalika Chaudhuri (CoRR, 2020)

Close Category Generalization. - Yao-Yuan Yang; Cyrus Rashtchian; Ruslan Salakhutdinov; Kamalika Chaudhuri (CoRR, 2020)

Connecting Interpretability and Robustness in Decision Trees through Separation. - Michal Moshkovitz; Yao-Yuan Yang; Kamalika Chaudhuri (ICML, 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; et al. (CoRR, 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; Artyom Astafurov; Caroline Chen; Christian Puhrsch; David Pollack; Dmitriy Genzel; Donny Greenberg; Edward Z. Yang; Jason Lian; Jeff Hwang; et al. (ICASSP, 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 (NeurIPS, 2022)

Understanding Rare Spurious Correlations in Neural Networks. - Yao-Yuan Yang; Kamalika Chaudhuri (CoRR, 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)

A Principled Approach to Trustworthy Machine Learning - Yao-Yuan Yang (2022)

Probing Predictions on OOD Images via Nearest Categories. - Yao-Yuan Yang; Cyrus Rashtchian; Ruslan Salakhutdinov; Kamalika Chaudhuri (Trans. Mach. Learn. Res., 2023)

Mitigating LLM Hallucinations via Conformal Abstention. - Yasin Abbasi-Yadkori; Ilja Kuzborskij; David Stutz; András György 001; Adam Fisch; Arnaud Doucet; Iuliya Beloshapka; Wei-Hung Weng; Yao-Yuan Yang; Csaba Szepesvári; Ali Taylan Cemgil; Nenad Tomasev (CoRR, 2024)