Yao-Yuan Yang

According to our database1, Yao-Yuan Yang authored at least 19 papers between 2016 and 2023.

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Bibliography

2023
Probing Predictions on OOD Images via Nearest Categories.
Trans. Mach. Learn. Res., 2023

2022
A Principled Approach to Trustworthy Machine Learning
PhD thesis, 2022

What You See is What You Get: Distributional Generalization for Algorithm Design in Deep Learning.
CoRR, 2022

Understanding Rare Spurious Correlations in Neural Networks.
CoRR, 2022

What You See is What You Get: Principled Deep Learning via Distributional Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


2021
Hide and Seek: Choices of Virtual Backgrounds in Video Chats and Their Effects on Perception.
Proc. ACM Hum. Comput. Interact., 2021

TorchAudio: Building Blocks for Audio and Speech Processing.
CoRR, 2021

Connecting Interpretability and Robustness in Decision Trees through Separation.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Close Category Generalization.
CoRR, 2020

Adversarial Robustness Through Local Lipschitzness.
CoRR, 2020

PABLO: Helping Novices Debug Python Code Through Data-Driven Fault Localization.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

A Closer Look at Accuracy vs. Robustness.
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.
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.
CoRR, 2019

Deep Learning with a Rethinking Structure for Multi-label Classification.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017
libact: Pool-based Active Learning in Python.
CoRR, 2017

2016
Cost-Sensitive Random Pair Encoding for Multi-Label Classification.
CoRR, 2016


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