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ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers.

K. Qian, Y. Zhang, H. Gao, J. Ni, C. Lai, D. Cox, M. Hasegawa-Johnson, и S. Chang. ICML, том 162 из Proceedings of Machine Learning Research, стр. 18003-18017. PMLR, (2022)

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Shiyu Zhang

Shiyu Song

Shiyu Yang

Fu-Chang Chang

Sheng-Chia Chang

William Ockham's view on human capabilityS. Chang. Uni Frankfurt Main, (2009)

Другие публикации лиц с тем же именем

Robust Task Clustering for Deep Many-Task Learning.M. Yu, X. Guo, J. Yi, S. Chang, S. Potdar, G. Tesauro, H. Wang, и B. Zhou. CoRR, (2017)Audio-Visual Neural Syntax Acquisition.C. Lai, F. Shi, P. Peng, Y. Kim, K. Gimpel, S. Chang, Y. Chuang, S. Bhati, D. Cox, D. Harwath и 3 other автор(ы). ASRU, стр. 1-8. IEEE, (2023)ClawSAT: Towards Both Robust and Accurate Code Models.J. Jia, S. Srikant, T. Mitrovska, C. Gan, S. Chang, S. Liu, и U. O'Reilly. SANER, стр. 212-223. IEEE, (2023)Self-Progressing Robust Training.M. Cheng, P. Chen, S. Liu, S. Chang, C. Hsieh, и P. Das. AAAI, стр. 7107-7115. AAAI Press, (2021)A Space Alignment Method for Cold-Start TV Show Recommendations.S. Chang, J. Zhou, P. Chubak, J. Hu, и T. Huang. IJCAI, стр. 3373-3379. AAAI Press, (2015)Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.T. Chen, S. Liu, S. Chang, Y. Cheng, L. Amini, и Z. Wang. CVPR, стр. 696-705. Computer Vision Foundation / IEEE, (2020)Understanding Interlocking Dynamics of Cooperative Rationalization.M. Yu, Y. Zhang, S. Chang, и T. Jaakkola. NeurIPS, стр. 12822-12835. (2021)Out-of-Domain Detection for Low-Resource Text Classification Tasks.M. Tan, Y. Yu, H. Wang, D. Wang, S. Potdar, S. Chang, и M. Yu. EMNLP/IJCNLP (1), стр. 3564-3570. Association for Computational Linguistics, (2019)Deriving Machine Attention from Human Rationales.Y. Bao, S. Chang, M. Yu, и R. Barzilay. EMNLP, стр. 1903-1913. Association for Computational Linguistics, (2018)PromptBoosting: Black-Box Text Classification with Ten Forward Passes.B. Hou, J. O'Connor, J. Andreas, S. Chang, и Y. Zhang. ICML, том 202 из Proceedings of Machine Learning Research, стр. 13309-13324. PMLR, (2023)

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