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Towards Biologically Plausible Deep Learning.

Y. Bengio, D. Lee, J. Bornschein, and Z. Lin. CoRR, (2015)

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Lin Lin

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Theano: A Python framework for fast computation of mathematical expressionsT. Team, R. Al-Rfou, G. Alain, A. Almahairi, C. Angermueller, D. Bahdanau, N. Ballas, F. Bastien, J. Bayer, A. Belikov and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Transkimmer: Transformer Learns to Layer-wise Skim.Y. Guan, Z. Li, J. Leng, Z. Lin, and M. Guo. ACL (1), page 7275-7286. Association for Computational Linguistics, (2022)RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.J. Qi, J. Tang, Z. He, X. Wan, Y. Cheng, C. Zhou, X. Wang, Q. Zhang, and Z. Lin. EMNLP, page 3215-3229. Association for Computational Linguistics, (2022)Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.Z. He, M. Yang, M. Feng, J. Yin, X. Wang, J. Leng, and Z. Lin. ACL (Findings), page 8954-8966. Association for Computational Linguistics, (2023)Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach.W. Du, Z. Lin, Y. Shen, T. O'Donnell, Y. Bengio, and Y. Zhang. ACL, page 6611-6628. Association for Computational Linguistics, (2020)Document-Level Relation Extraction with Relation Correlation Enhancement.Y. Huang, and Z. Lin. ICONIP (13), volume 1967 of Communications in Computer and Information Science, page 427-440. Springer, (2023)Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification.Y. Chen, Z. Lin, and X. Zhao. IGARSS, page 1975-1978. IEEE, (2013)Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification.Y. Chen, C. Qu, and Z. Lin. IGARSS, page 3578-3581. IEEE, (2013)Joint Adaboost and multifeature based ensemble for hyperspectral image classification.Y. Chen, X. Zhao, and Z. Lin. IGARSS, page 2874-2877. IEEE, (2014)K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.C. Deng, T. Zhang, Z. He, Q. Chen, Y. Shi, Y. Xu, L. Fu, W. Zhang, X. Wang, C. Zhou and 2 other author(s). WSDM, page 161-170. ACM, (2024)

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Disambiguation of "Lin, Zhouhan"

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Towards Biologically Plausible Deep Learning.

Please choose a person to relate this publication to

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

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BibSonomy

Disambiguation of "Lin, Zhouhan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards Biologically Plausible Deep Learning.

Please choose a person to relate this publication to

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

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Towards Biologically Plausible Deep Learning.