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Yao-Yuan Yang
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2020 – today
- 2024
- [i11]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 abs/2405.01563 (2024) - 2023
- [j2]Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Probing Predictions on OOD Images via Nearest Categories. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [b1]Yao-Yuan Yang:
A Principled Approach to Trustworthy Machine Learning. University of California, San Diego, USA, 2022 - [c8]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: 6982-6986 - [c7]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 - [i10]Yao-Yuan Yang, Kamalika Chaudhuri:
Understanding Rare Spurious Correlations in Neural Networks. CoRR abs/2202.05189 (2022) - [i9]Bogdan Kulynych, Yao-Yuan Yang, Yaodong Yu, Jaroslaw Blasiok
What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning. CoRR abs/2204.03230 (2022) - 2021
- [j1]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): 303:1-303:30 (2021) - [c6]Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri:
Connecting Interpretability and Robustness in Decision Trees through Separation. ICML 2021: 7839-7849 - [i8]Michal Moshkovitz, Yao-Yuan Yang, Kamalika Chaudhuri:
Connecting Interpretability and Robustness in Decision Trees through Separation. CoRR abs/2102.07048 (2021) - [i7]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 abs/2110.15018 (2021) - 2020
- [c5]Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri:
Robustness for Non-Parametric Classification: A Generic Attack and Defense. AISTATS 2020: 941-951 - [c4]Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri:
A Closer Look at Accuracy vs. Robustness. NeurIPS 2020 - [c3]Benjamin Cosman
PABLO: Helping Novices Debug Python Code Through Data-Driven Fault Localization. SIGCSE 2020: 1047-1053 - [i6]Yao-Yuan Yang, Cyrus Rashtchian, Hongyang Zhang, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Adversarial Robustness Through Local Lipschitzness. CoRR abs/2003.02460 (2020) - [i5]Yao-Yuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri:
Close Category Generalization. CoRR abs/2011.08485 (2020)
2010 – 2019
- 2019
- [c2]Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin:
Deep Learning with a Rethinking Structure for Multi-label Classification. ACML 2019: 125-140 - [i4]Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri:
Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. CoRR abs/1906.03310 (2019) - 2018
- [c1]Yao-Yuan Yang, Kuan-Hao Huang
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. PAKDD (1) 2018: 143-155 - [i3]Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin:
Deep Learning with a Rethinking Structure for Multi-label Classification. CoRR abs/1802.01697 (2018) - 2017
- [i2]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 abs/1710.00379 (2017) - 2016
- [i1]Yao-Yuan Yang, Chih-Wei Chang, Hsuan-Tien Lin:
Cost-Sensitive Random Pair Encoding for Multi-Label Classification. CoRR abs/1611.09461 (2016)
Coauthor Index
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