Yu Yang

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang, Siddhartha Mishra, Jeffrey N Chiang, Baharan Mirzasoleiman
Accepted to Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024.
[Preprint]

Few-shot Adaption to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue, Ali Payani, Yu Yang, and Baharan Mirzasoleiman
In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.
[Paper]

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Yu Yang, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman
In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
[Paper] [Code]

Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
Yu Yang*, Xuxi Chen*, Zhangyang Wang, Baharan Mirzasoleiman (*Equal Contribution)
In Proceedings of the Twelfth International Conference on Learning Representations (ICLR), 2024.
[Preprint] 

SIEVE: Multimodal Dataset Pruning Using Image Captioning Models
Anas Mahmoud, Mostafa Elhoushi, Amro Abbas, Yu Yang, Newsha Ardalani, Hugh Leather, Ari S Morcos
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[Paper]

Robust Learning with Progressive Data Expansion Against Spurious Correlation
Yu Yang*, Yihe Deng*, Baharan Mirzasoleiman, Quanquan Gu (*Equal Contribution)
In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
[Paper] [Code] [Project Page]

Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data
Yu Yang, Aaditya K Singh, Mostafa Elhoushi, Anas Mahmoud, Kushal Tirumala, Fabian Gloeckle, Baptiste Rozière, Carole-Jean Wu, Ari S Morcos, Newsha Ardalani
The 3rd Workshop on Efficient Natural Language and Speech Processing (ENLSP-III), NeurIPS 2023. (Oral)
[Paper]

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Hritik Bansal*, Nishad Singhi*, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang (*Equal Contribution)
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (Oral: 1.8%)
[Paper] [Code]

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Yu Yang, Hao Kang, Baharan Mirzasoleiman
In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.
[Paper] [Code]

Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman
In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.
[Paper] [Code]

Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
In Proceedings of the International Conference on Machine Learning (ICML), 2022. (Oral: 2.10%)
[Paper] [Code] 

Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation
Yu Yang, Aayush Gupta, Jianwei Feng, Yue Rex Wu, Vivek Yadav, Varsha Hedau, Prateek Singhal, Pradeep Natarajan, Jungseock Joo
In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022.
[Paper] [Dataset]

Explaining Deep Convolutional Neural Networks via Unsupervised Visual-Semantic Filter Attention
Yu Yang, Seungbae Kim, Jungseock Joo
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral: 4.22%)
[Paper] [Code]