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2020 – today
- 2024
[c6]Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman:
Investigating the Benefits of Projection Head for Representation Learning. ICLR 2024- [c5]Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman:
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. ICLR 2024 - [c4]Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman:
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings. ICML 2024 - [i8]Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman:
Investigating the Benefits of Projection Head for Representation Learning. CoRR abs/2403.11391 (2024) - 2023
- [j6]Xiaohan Chen
, Rui Yang, Yihao Xue, Chao Yang, Baoye Song, Maiying Zhong:
A novel momentum prototypical neural network to cross-domain fault diagnosis for rotating machinery subject to cold-start. Neurocomputing 555: 126656 (2023) - [j5]Xiaohan Chen, Rui Yang, Yihao Xue, Mengjie Huang, Roberto Ferrero, Zidong Wang:
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016. IEEE Trans. Instrum. Meas. 72: 1-21 (2023) - [j4]Yihao Xue, Rui Yang, Xiaohan Chen, Zhongbei Tian, Zidong Wang:
A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c3]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. ICML 2023: 38938-38970 - [i7]Yihao Xue, Ali Payani, Yu Yang, Baharan Mirzasoleiman:
Eliminating Spurious Correlations from Pre-trained Models via Data Mixing. CoRR abs/2305.14521 (2023) - [i6]Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman:
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression. CoRR abs/2305.16536 (2023) - [i5]Siddharth Joshi, Yu Yang, Yihao Xue, Wenhan Yang, Baharan Mirzasoleiman:
Towards Mitigating Spurious Correlations in the Wild: A Benchmark & a more Realistic Dataset. CoRR abs/2306.11957 (2023) - [i4]Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman:
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift. CoRR abs/2310.04971 (2023) - 2022
- [j3]Wenkai Huang, Yihao Xue, Zefeng Xu, Guanglong Peng, Yu Wu:
Polyphonic music generation generative adversarial network with Markov decision process. Multim. Tools Appl. 81(21): 29865-29885 (2022) - [c2]Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman:
Investigating Why Contrastive Learning Benefits Robustness against Label Noise. ICML 2022: 24851-24871 - [i3]Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman:
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise. CoRR abs/2201.12498 (2022) - [i2]Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman:
Superior generalization of smaller models in the presence of significant label noise. CoRR abs/2208.08003 (2022) - 2021
- [j2]Wenkai Huang, Yihao Xue, Zefeng Xu, Lingkai Hu:
Successive Over Relaxation Recurrent Confidence Inference Network Based on Linear Extrapolation. IEEE Access 9: 118346-118356 (2021) - [c1]Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI 2021: 10560-10567 - 2020
- [j1]Wenkai Huang, Yihao Xue, Lingkai Hu, Hantang Liuli:
S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network With Bilinear Interpolation. IEEE Access 8: 131636-131646 (2020) - [i1]Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. CoRR abs/2012.10936 (2020)
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