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Volumn 2017-January, Issue , 2017, Pages 860-869

LCNN: Lookup-based convolutional neural network

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; ECONOMIC AND SOCIAL EFFECTS; ITERATIVE METHODS; LEARNING ALGORITHMS; NEURAL NETWORKS;

EID: 85040458958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2017.98     Document Type: Conference Paper
Times cited : (70)

References (47)
  • 4
    • 84988920420 scopus 로고    scopus 로고
    • Binarynet: Training deep neural networks with weights and activations constrained to +1 or -1
    • M. Courbariaux and Y. Bengio. Binarynet: Training deep neural networks with weights and activations constrained to +1 or -1. CoRR, 2016.
    • (2016) CoRR
    • Courbariaux, M.1    Bengio, Y.2
  • 8
    • 84937896655 scopus 로고    scopus 로고
    • Exploiting linear structure within convolutional networks for efficient evaluation
    • E. L. Denton, W. Zaremba, J. Bruna, Y. LeCun, and R. Fergus. Exploiting linear structure within convolutional networks for efficient evaluation. In NIPS, 2014.
    • (2014) NIPS
    • Denton, E.L.1    Zaremba, W.2    Bruna, J.3    LeCun, Y.4    Fergus, R.5
  • 12
    • 79951563340 scopus 로고    scopus 로고
    • Understanding the difficulty of training deep feedforward neural networks
    • X. Glorot and Y. Bengio. Understanding the difficulty of training deep feedforward neural networks. In AISTATS, 2010.
    • (2010) AISTATS
    • Glorot, X.1    Bengio, Y.2
  • 15
    • 84965175092 scopus 로고    scopus 로고
    • Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding
    • S. Han, H. Mao, and W. J. Dally. Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding. In ICLR, 2015.
    • (2015) ICLR
    • Han, S.1    Mao, H.2    Dally, W.J.3
  • 18
    • 85013813121 scopus 로고    scopus 로고
    • Deep residual learning for image recognition
    • K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. CoRR, 2015.
    • (2015) CoRR
    • He, K.1    Zhang, X.2    Ren, S.3    Sun, J.4
  • 20
    • 84920265200 scopus 로고    scopus 로고
    • Fixed-point feedforward deep neural network design using weights+ 1, 0, and- 1
    • IEEE
    • K. Hwang and W. Sung. Fixed-point feedforward deep neural network design using weights+ 1, 0, and- 1. In Signal Processing Systems (SiPS), 2014 IEEE Workshop on, pages 1-6. IEEE, 2014.
    • (2014) Signal Processing Systems (SiPS), 2014 IEEE Workshop On , pp. 1-6
    • Hwang, K.1    Sung, W.2
  • 21
    • 85014063345 scopus 로고    scopus 로고
    • Squeezenet: Alexnet-level accuracy with 50x fewer parameters and ¡1mb model size
    • F. N. Iandola, M. W. Moskewicz, K. Ashraf, S. Han, W. J. Dally, and K. Keutzer. Squeezenet: Alexnet-level accuracy with 50x fewer parameters and ¡1mb model size. CoRR, abs/1602.07360, 2016.
    • (2016) CoRR
    • Iandola, F.N.1    Moskewicz, M.W.2    Ashraf, K.3    Han, S.4    Dally, W.J.5    Keutzer, K.6
  • 26
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 35
    • 85016074905 scopus 로고    scopus 로고
    • Xnornet: Imagenet classification using binary convolutional neural networks
    • M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi. Xnornet: Imagenet classification using binary convolutional neural networks. In ECCV, 2016.
    • (2016) ECCV
    • Rastegari, M.1    Ordonez, V.2    Redmon, J.3    Farhadi, A.4
  • 40
    • 85031124575 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • S. Thrun. Is learning the n-th thing any easier than learning the first? Advances in neural information processing systems, pages 640-646, 1996.
    • (1996) Advances in Neural Information Processing Systems , pp. 640-646
    • Thrun, S.1
  • 44
    • 85015334059 scopus 로고    scopus 로고
    • Learning structured sparsity in deep neural networks
    • W. Wen, C. Wu, Y. Wang, Y. Chen, and H. Li. Learning structured sparsity in deep neural networks. In NIPS, 2016.
    • (2016) NIPS
    • Wen, W.1    Wu, C.2    Wang, Y.3    Chen, Y.4    Li, H.5
  • 47
    • 84959238721 scopus 로고    scopus 로고
    • Efficient and accurate approximations of nonlinear convolutional networks
    • X. Zhang, J. Zou, X. Ming, K. He, and J. Sun. Efficient and accurate approximations of nonlinear convolutional networks. In CVPR, 2015.
    • (2015) CVPR
    • Zhang, X.1    Zou, J.2    Ming, X.3    He, K.4    Sun, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.