Yao-Yuan Yang - RankMe

23 papers A* 3A 2C 1Misc 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diagnosing Generalization Failures from Representational Geometry Markers. CoRR Chi-Ning Chou, Artem Kirsanov, Yao-Yuan Yang, SueYeon Chung
2024	J	`jnl`	Mitigating LLM Hallucinations via Conformal Abstention. CoRR 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
2023	J	`jnl`	Probing Predictions on OOD Images via Nearest Categories. Trans. Mach. Learn. Res. Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri
2022	—	`—`	A Principled Approach to Trustworthy Machine Learning Yao-Yuan Yang
2022	Misc	`conf`	Torchaudio: Building Blocks for Audio and Speech Processing. ICASSP 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
2022	J	`jnl`	Understanding Rare Spurious Correlations in Neural Networks. CoRR Yao-Yuan Yang, Kamalika Chaudhuri
2022	J	`jnl`	What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning. CoRR Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran
2022	A*	`conf`	What You See is What You Get: Principled Deep Learning via Distributional Generalization. NeurIPS Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok, Preetum Nakkiran
2021	A*	`conf`	Connecting Interpretability and Robustness in Decision Trees through Separation. ICML Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
2021	J	`jnl`	Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri
2021	J	`jnl`	Hide and Seek: Choices of Virtual Backgrounds in Video Chats and Their Effects on Perception. Proc. ACM Hum. Comput. Interact. Angel Hsing-Chi Hwang, Cheng Yao Wang, Yao-Yuan Yang, Andrea Stevenson Won
2021	J	`jnl`	TorchAudio: Building Blocks for Audio and Speech Processing. CoRR 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
2020	A*	`conf`	A Closer Look at Accuracy vs. Robustness. NeurIPS Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri
2020	J	`jnl`	Adversarial Robustness Through Local Lipschitzness. CoRR Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri
2020	J	`jnl`	Close Category Generalization. CoRR Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri
2020	A	`conf`	PABLO: Helping Novices Debug Python Code Through Data-Driven Fault Localization. SIGCSE Benjamin Cosman, Madeline Endres, Georgios Sakkas, Leon Medvinsky, Yao-Yuan Yang, Ranjit Jhala, Kamalika Chaudhuri, Westley Weimer
2020	A	`conf`	Robustness for Non-Parametric Classification: A Generic Attack and Defense. AISTATS Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri
2019	J	`jnl`	Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. CoRR Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri
2019	C	`conf`	Deep Learning with a Rethinking Structure for Multi-label Classification. ACML Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin
2018	—	`conf`	Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. PAKDD (1) Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
2018	J	`jnl`	Deep Learning with a Rethinking Structure for Multi-label Classification. CoRR Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin
2017	J	`jnl`	libact: Pool-based Active Learning in Python. CoRR Yao-Yuan Yang, Shao-Chuan Lee, Yu-An Chung, Tung-En Wu, Si-An Chen, Hsuan-Tien Lin
2016	J	`jnl`	Cost-Sensitive Random Pair Encoding for Multi-Label Classification. CoRR Yao-Yuan Yang, Chih-Wei Chang, Hsuan-Tien Lin