Yu Yang

Orcid: 0000-0002-6591-7704

Affiliations:

University of California, Los Angeles (UCLA), CA, USA

According to our database¹, Yu Yang authored at least 13 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.

[BibT_eX]

[DOI]

Xuxi Chen

Yu Yang

Zhangyang Wang

Baharan Mirzasoleiman

CoRR, 2023

Network Transplanting for the Functionally Modular Architecture.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning.

[BibT_eX]

[DOI]

Yu Yang

Besmira Nushi

Hamid Palangi

Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning.

[BibT_eX]

[DOI]

Yu Yang

Hao Kang

Baharan Mirzasoleiman

Proceedings of the International Conference on Machine Learning, 2023

NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training.

[BibT_eX]

[DOI]

Neha Prakriya

Yu Yang

Baharan Mirzasoleiman

Cho-Jui Hsieh

Jason Cong

Proceedings of the 15th ACM/USENIX Workshop on Hot Topics in Storage and File Systems, 2023

2019

Visual graph mining for graph matching.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2019

A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks.

[BibT_eX]

[DOI]

Lior Deutsch

Erik Nijkamp

Yu Yang

CoRR, 2019

Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract).

[BibT_eX]

[DOI]

Quanshi Zhang

Yu Yang

Ying Nian Wu

CoRR, 2019

Network Transplanting (extended abstract).

[BibT_eX]

[DOI]

CoRR, 2019

Interpreting CNNs via Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Unsupervised Learning of Neural Networks to Explain Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Network Transplanting.

[BibT_eX]

[DOI]

CoRR, 2018

Interpreting CNNs via Decision Trees.

[BibT_eX]

[DOI]

CoRR, 2018

Yu Yang

Timeline

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Bibliography

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