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Yu Yang
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Year
Interpreting CNNs via Decision Trees
Q Zhang, Y Yang, H Ma, YN Wu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3652019
Unsupervised Learning of Neural Networks to Explain Neural Networks
Q Zhang, Y Yang, Y Liu, YN Wu, SC Zhu
arXiv preprint arXiv:1805.07468, 2018
322018
Not All Poisons are Created Equal: Robust Training Against Data Poisoning
Y Yang, TY Liu, B Mirzasoleiman
International Conference on Machine Learning, 25154-25165, 2022
292022
Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning
H Bansal, N Singhi, Y Yang, F Yin, A Grover, KW Chang
Proceedings of the IEEE/CVF International Conference on Computer Vision, 112-123, 2023
192023
Friendly noise against adversarial noise: a powerful defense against data poisoning attack
TY Liu, Y Yang, B Mirzasoleiman
Advances in Neural Information Processing Systems 35, 11947-11959, 2022
182022
Enhancing fairness in face detection in computer vision systems by demographic bias mitigation
Y Yang, A Gupta, J Feng, P Singhal, V Yadav, Y Wu, P Natarajan, ...
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 813-822, 2022
182022
A Generative Model for Sampling High-performance and Diverse Weights for Neural Networks
L Deutsch, E Nijkamp, Y Yang
arXiv preprint arXiv:1905.02898, 2019
182019
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning
Y Yang, B Nushi, H Palangi, B Mirzasoleiman
Proceedings of the 40th International Conference on Machine Learning 202 …, 2023
152023
Explaining deep convolutional neural networks via latent visual-semantic filter attention
Y Yang, S Kim, J Joo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
152022
Visual Graph Mining for Graph Matching
Q Zhang, X Song, Y Yang, H Ma, R Shibasaki
Computer Vision and Image Understanding 178, 16-29, 2019
152019
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Y Yang, H Kang, B Mirzasoleiman
Proceedings of the 40th International Conference on Machine Learning 202 …, 2023
92023
Robust Learning with Progressive Data Expansion Against Spurious Correlation
Y Deng*, Y Yang*, B Mirzasoleiman, Q Gu
arXiv preprint arXiv:2306.04949, 2023
92023
Towards mitigating spurious correlations in the wild: A benchmark & a more realistic dataset
S Joshi, Y Yang, Y Xue, W Yang, B Mirzasoleiman
arXiv preprint arXiv:2306.11957, 2023
72023
Network transplanting
Q Zhang, Y Yang, Q Yu, YN Wu
arXiv preprint arXiv:1804.10272, 2018
62018
Decoding data quality via synthetic corruptions: Embedding-guided pruning of code data
Y Yang, AK Singh, M Elhoushi, A Mahmoud, K Tirumala, F Gloeckle, ...
arXiv preprint arXiv:2312.02418, 2023
42023
Identifying spurious biases early in training through the lens of simplicity bias
Y Yang, E Gan, GK Dziugaite, B Mirzasoleiman
arXiv preprint arXiv:2305.18761, 2023
42023
Eliminating spurious correlations from pre-trained models via data mixing
Y Xue, A Payani, Y Yang, B Mirzasoleiman
arXiv preprint arXiv:2305.14521, 2023
42023
Explaining AlphaGo: Interpreting contextual effects in neural networks
Z Ling, H Ma, Y Yang, RC Qiu, SC Zhu, Q Zhang
arXiv preprint arXiv:1901.02184, 2019
42019
SIEVE: Multimodal Dataset Pruning Using Image Captioning Models
A Mahmoud, M Elhoushi, A Abbas, Y Yang, N Ardalani, H Leather, ...
arXiv preprint arXiv:2310.02110, 2023
32023
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
X Chen, Y Yang, Z Wang, B Mirzasoleiman
arXiv preprint arXiv:2310.06982, 2023
12023
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