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Volumn 9908 LNCS, Issue , 2016, Pages 662-677

Less is more: Towards compact CNNs

Author keywords

Convolutional neural network; Neuron reduction; Sparsity

Indexed keywords

CONVOLUTION; LARGE DATASET; NEURONS;

EID: 84990032200     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46493-0_40     Document Type: Conference Paper
Times cited : (329)

References (40)
  • 1
    • 84937961091 scopus 로고    scopus 로고
    • Do deep nets really need to be deep?
    • Ba, J., Caruana, R.: Do deep nets really need to be deep?. In: NIPS (2014)
    • (2014) NIPS
    • Ba, J.1    Caruana, R.2
  • 3
    • 84959214430 scopus 로고    scopus 로고
    • Semantic image segmentation with deep convolutional nets and fully connected CRFS
    • Chen, L., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: Semantic image segmentation with deep convolutional nets and fully connected CRFS. In: ICLR (2014)
    • (2014) ICLR
    • Chen, L.1    Papandreou, G.2    Kokkinos, I.3    Murphy, K.4    Yuille, A.L.5
  • 8
    • 84889059741 scopus 로고    scopus 로고
    • Group sparse optimization by alternating direction method
    • Deng, W., Yin, W., Zhang, Y.: Group sparse optimization by alternating direction method. In: SPIE. vol. 8858 (2013)
    • (2013) SPIE , vol.8858
    • Deng, W.1    Yin, W.2    Zhang, Y.3
  • 10
    • 84937896655 scopus 로고    scopus 로고
    • Exploiting linear structure within convolutional networks for efficient evaluation
    • Denton, E.L., Zaremba, W., Bruna, J., LeCun, Y., Fergus, R.: 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
  • 11
    • 75249102673 scopus 로고    scopus 로고
    • Efficient online and batch learning using forward backward splitting
    • Duchi, J., Singer, Y.: Efficient online and batch learning using forward backward splitting. J. Mach. Learn. Res. 10, 2899-2934 (2009)
    • (2009) J. Mach. Learn. Res , vol.10 , pp. 2899-2934
    • Duchi, J.1    Singer, Y.2
  • 12
    • 84911400494 scopus 로고    scopus 로고
    • Rich feature hierarchies for accurate object detection and semantic segmentation
    • Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)
    • (2014) CVPR
    • Girshick, R.1    Donahue, J.2    Darrell, T.3    Malik, J.4
  • 13
    • 84872578524 scopus 로고    scopus 로고
    • Deep sparse rectifier neural networks
    • Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. In: AISTATS (2011)
    • (2011) AISTATS
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 16
    • 85083950579 scopus 로고    scopus 로고
    • Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding
    • Han, S., Mao, H., Dally, W. J.: Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding. In: ICLR (2016)
    • (2016) ICLR
    • Han, S.1    Mao, H.2    Dally, W.J.3
  • 17
    • 84965140688 scopus 로고    scopus 로고
    • Learning both weights and connections for efficient neural networks
    • Han, S., Pool, J., Tran, J., Dally, W.J.: Learning both weights and connections for efficient neural networks. In: NIPS (2015)
    • (2015) NIPS
    • Han, S.1    Pool, J.2    Tran, J.3    Dally, W.J.4
  • 18
    • 0001234705 scopus 로고
    • Second order derivatives for network pruning: Optimal brain surgeon
    • Hassibi, B., Stork, D.G.: Second order derivatives for network pruning: Optimal brain surgeon. In: NIPS (1993)
    • (1993) NIPS
    • Hassibi, B.1    Stork, D.G.2
  • 20
    • 85062833929 scopus 로고    scopus 로고
    • Speeding up convolutional neural networks with low rank expansions
    • Jaderberg, M., Vedaldi, A., Zisserman, A.: Speeding up convolutional neural networks with low rank expansions. In: BMVC (2014)
    • (2014) BMVC
    • Jaderberg, M.1    Vedaldi, A.2    Zisserman, A.3
  • 23
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS (2012)
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 24
    • 85083952441 scopus 로고    scopus 로고
    • Speedingup convolutional neural networks using fine-tuned cp-decomposition
    • Lebedev, V., Ganin, Y., Rakhuba, M., Oseledets, I.V., Lempitsky, V.S.: Speedingup convolutional neural networks using fine-tuned cp-decomposition. In: ICLR (2015)
    • (2015) ICLR
    • Lebedev, V.1    Ganin, Y.2    Rakhuba, M.3    Oseledets, I.V.4    Lempitsky, V.S.5
  • 25
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278-2324 (1998)
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 28
    • 84870175618 scopus 로고    scopus 로고
    • Tensor completion for estimating missing values in visual data
    • Liu, J., Musialski, P., Wonka, P., Ye, J.: Tensor completion for estimating missing values in visual data. IEEE Trans. PAMI 35(1), 208-220 (2013)
    • (2013) IEEE Trans. PAMI , vol.35 , Issue.1 , pp. 208-220
    • Liu, J.1    Musialski, P.2    Wonka, P.3    Ye, J.4
  • 30
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted boltzmann machines
    • Nair, V., Hinton, G.E.: Rectified linear units improve restricted boltzmann machines. In: ICML (2010)
    • (2010) ICML
    • Nair, V.1    Hinton, G.E.2
  • 35
    • 84869201485 scopus 로고    scopus 로고
    • Practical bayesian optimization of machine learning algorithms
    • Snoek, J., Larochelle, H., Adams, R.P.: Practical bayesian optimization of machine learning algorithms. In: NIPS (2012)
    • (2012) NIPS
    • Snoek, J.1    Larochelle, H.2    Adams, R.P.3
  • 36
    • 84965123123 scopus 로고    scopus 로고
    • Data-free parameter pruning for deep neural networks
    • Srinivas, S., Babu, R.V.: Data-free parameter pruning for deep neural networks. In: BMVC (2015)
    • (2015) BMVC
    • Srinivas, S.1    Babu, R.V.2
  • 37
    • 80052416457 scopus 로고    scopus 로고
    • Stochastic gradient descent training for l1-regularized log-linear models with cumulative penalty
    • Tsuruoka, Y., Tsujii, J., Ananiadou, S.: Stochastic gradient descent training for l1-regularized log-linear models with cumulative penalty. In: ACL-IJCNLP (2009)
    • (2009) ACL-IJCNLP
    • Tsuruoka, Y.1    Tsujii, J.2    Ananiadou, S.3
  • 38
    • 84986290514 scopus 로고    scopus 로고
    • Matconvnet - Convolutional neural networks for matlab
    • Vedaldi, A., Lenc, K.: Matconvnet - convolutional neural networks for matlab. In: ACM MM (2014)
    • (2014) ACM MM
    • Vedaldi, A.1    Lenc, K.2
  • 39
    • 84867606668 scopus 로고    scopus 로고
    • Exploiting sparseness in deep neural networks for large vocabulary speech recognition
    • Yu, D., Seide, F., Li, G., Deng, L.: Exploiting sparseness in deep neural networks for large vocabulary speech recognition. In: ICASSP (2012)
    • (2012) ICASSP
    • Yu, D.1    Seide, F.2    Li, G.3    Deng, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.