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Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.

Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin, T. Chen, X. Ma, X. Xie, Z. Wang, и Y. Wang. CoRR, (2022)

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Minghai Qin

Qi Qin

Minghao Qin

Gang Qin

Qin Wang

Другие публикации лиц с тем же именем

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin и 5 other автор(ы). CoRR, (2022)Adaptive Read Thresholds for NAND Flash.B. Peleato, R. Agarwal, J. Cioffi, M. Qin, и P. Siegel. CoRR, (2022)Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.G. Huang, H. Li, M. Qin, F. Sun, Y. Ding, и Y. Xie. DAC, стр. 1153-1158. ACM, (2022)ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training.S. Chang, G. Yuan, A. Lu, M. Sun, Y. Li, X. Ma, Z. Li, Y. Xie, M. Qin, X. Lin и 2 other автор(ы). DATE, стр. 1-6. IEEE, (2023)You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding.G. Yuan, S. Chang, Q. Jin, A. Lu, Y. Li, Y. Wu, Z. Kong, Y. Xie, P. Dong, M. Qin и 4 other автор(ы). ECCV (12), том 13672 из Lecture Notes in Computer Science, стр. 34-51. Springer, (2022)Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.S. Chen, G. Yuan, X. Cheng, Y. Gong, M. Qin, Y. Wang, и X. Huang. ICLR, OpenReview.net, (2023)Towards Real-Time Segmentation on the Edge.Y. Li, C. Yang, P. Zhao, G. Yuan, W. Niu, J. Guan, H. Tang, M. Qin, Q. Jin, B. Ren и 2 other автор(ы). AAAI, стр. 1468-1476. AAAI Press, (2023)Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.Z. Kong, H. Ma, G. Yuan, M. Sun, Y. Xie, P. Dong, X. Meng, X. Shen, H. Tang, M. Qin и 5 other автор(ы). AAAI, стр. 8360-8368. AAAI Press, (2023)INVITED: Computation on Sparse Neural Networks and its Implications for Future Hardware.F. Sun, M. Qin, T. Zhang, L. Liu, Y. Chen, и Y. Xie. DAC, стр. 1-6. IEEE, (2020)Non-Volatile Memory Array Based Quantization- and Noise-Resilient LSTM Neural Networks.W. Ma, P. Chiu, W. Choi, M. Qin, D. Bedau, и M. Lueker-Boden. CoRR, (2020)

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Please choose a person to relate this publication to

Minghai Qin

Qi Qin

Minghao Qin

Gang Qin

Qin Wang

Другие публикации лиц с тем же именем

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