Yu Yang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Unsupervised Learning

Extended Abstract

Top Venues

Publications

Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. ICLR (2024)
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias. AISTATS (2024)
Dang Nguyen, Wenhan Yang, Rathul Anand, Yu Yang, Baharan Mirzasoleiman
Memory-efficient Training of LLMs with Larger Mini-batches. CoRR (2024)
Xuxi Chen, Yu Yang, Zhangyang Wang, Baharan Mirzasoleiman
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality. CoRR (2023)
Yu Yang, Hao Kang, Baharan Mirzasoleiman
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning. ICML (2023)
Quanshi Zhang, Xu Cheng, Xin Wang, Yu Yang, Yingnian Wu
Network Transplanting for the Functionally Modular Architecture. PRCV (3) (2023)
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning. ICML (2023)
Neha Prakriya, Yu Yang, Baharan Mirzasoleiman, Cho-Jui Hsieh, Jason Cong
NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training. HotStorage (2023)
Lior Deutsch, Erik Nijkamp, Yu Yang
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks. CoRR (2019)
Quanshi Zhang, Yu Yang, Qian Yu, Ying Nian Wu
Network Transplanting (extended abstract). CoRR (2019)
Quanshi Zhang, Xuan Song, Yu Yang, Haotian Ma, Ryosuke Shibasaki
Visual graph mining for graph matching. Comput. Vis. Image Underst. 178 (2019)
Quanshi Zhang, Yu Yang, Ying Nian Wu
Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract). CoRR (2019)
Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu
Interpreting CNNs via Decision Trees. CVPR (2019)
Quanshi Zhang, Yu Yang, Yuchen Liu, Ying Nian Wu, Song-Chun Zhu
Unsupervised Learning of Neural Networks to Explain Neural Networks. CoRR (2018)
Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu
Interpreting CNNs via Decision Trees. CoRR (2018)
Quanshi Zhang, Yu Yang, Ying Nian Wu, Song-Chun Zhu
Network Transplanting. CoRR (2018)