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FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.

C. Tao, R. Lin, Q. Chen, Z. Zhang, P. Luo, и N. Wong. IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2640-2654 (февраля 2024)

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Tao Tao

Tao Huu Phung

Christina Taouss

Madelaine Taoubi

Xue Tao

Другие публикации лиц с тем же именем

Dynamic and Static Context-Aware LSTM for Multi-agent Motion Prediction.C. Tao, Q. Jiang, L. Duan, и P. Luo. ECCV (21), том 12366 из Lecture Notes in Computer Science, стр. 547-563. Springer, (2020)Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.C. Tao, Q. Liu, L. Dou, N. Muennighoff, Z. Wan, P. Luo, M. Lin, и N. Wong. CoRR, (2024)D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.Z. Wan, X. Wu, Y. Zhang, Y. Xin, C. Tao, Z. Zhu, X. Wang, S. Luo, J. Xiong, и M. Zhang. CoRR, (2024)DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.J. Zhou, J. Wu, Y. Gao, Y. Ding, C. Tao, B. Li, F. Tu, K. Cheng, H. So, и N. Wong. CoRR, (2023)LiteGT: Efficient and Lightweight Graph Transformers.C. Chen, C. Tao, и N. Wong. CIKM, стр. 161-170. ACM, (2021)BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing.Y. Ren, R. Lin, J. Ran, C. Liu, C. Tao, Z. Wang, C. Li, и N. Wong. ASICON, стр. 1-4. IEEE, (2021)FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations.C. Tao, R. Lin, Q. Chen, Z. Zhang, P. Luo, и N. Wong. IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2640-2654 (февраля 2024)Structured Pruning for Efficient Generative Pre-trained Language Models.C. Tao, L. Hou, H. Bai, J. Wei, X. Jiang, Q. Liu, P. Luo, и N. Wong. ACL (Findings), стр. 10880-10895. Association for Computational Linguistics, (2023)UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.D. Shi, C. Tao, Y. Jin, Z. Yang, C. Yuan, и J. Wang. ICML, том 202 из Proceedings of Machine Learning Research, стр. 31292-31311. PMLR, (2023)FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation.C. Tao, R. Lin, Q. Chen, Z. Zhang, P. Luo, и N. Wong. CoRR, (2021)

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