-
1
-
-
85083950144
-
N2n learning: Network to network compression via policy gradient reinforcement learning
-
Ashok, A., Rhinehart, N., Beainy, F., and Kitani, K. M. N2n learning: Network to network compression via policy gradient reinforcement learning. ICLR, 2018.
-
(2018)
ICLR
-
-
Ashok, A.1
Rhinehart, N.2
Beainy, F.3
Kitani, K.M.4
-
2
-
-
85079594941
-
Designing neural network architectures using reinforcement learning
-
Baker, B., Gupta, O., Naik, N., and Raskar, R. Designing neural network architectures using reinforcement learning. ICLR, 2017.
-
(2017)
ICLR
-
-
Baker, B.1
Gupta, O.2
Naik, N.3
Raskar, R.4
-
4
-
-
85055694066
-
Efficient architecture search by network transformation
-
Cai, H., Chen, T., Zhang, W., Yu, Y., and Wang, J. Efficient architecture search by network transformation. In AAAI, 2018.
-
(2018)
AAAI
-
-
Cai, H.1
Chen, T.2
Zhang, W.3
Yu, Y.4
Wang, J.5
-
5
-
-
85083953532
-
Net2net: Accelerating learning via knowledge transfer
-
Chen, T., Goodfellow, I., and Shlens, J. Net2net: Accelerating learning via knowledge transfer. ICLR, 2016.
-
(2016)
ICLR
-
-
Chen, T.1
Goodfellow, I.2
Shlens, J.3
-
7
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
9
-
-
84949921865
-
Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves
-
Domhan, T., Springenberg, J. T., and Hutter, F. Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves. In IJCAI, 2015.
-
(2015)
IJCAI
-
-
Domhan, T.1
Springenberg, J.T.2
Hutter, F.3
-
11
-
-
85039865742
-
Deep pyramidal residual networks
-
Han, D., Kim, J., and Kim, J. Deep pyramidal residual networks. CVPR, 2017.
-
(2017)
CVPR
-
-
Han, D.1
Kim, J.2
Kim, J.3
-
12
-
-
84965140688
-
Learning both weights and connections for efficient neural network
-
Han, S., Pool, J., Tran, J., and Dally, W. Learning both weights and connections for efficient neural network. In NIPS, 2015.
-
(2015)
NIPS
-
-
Han, S.1
Pool, J.2
Tran, J.3
Dally, W.4
-
13
-
-
84986274465
-
Deep residual learning for image recognition
-
He, K., Zhang, X., Ren, S., and Sun, J. Deep residual learning for image recognition. In CVPR, 2016.
-
(2016)
CVPR
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
16
-
-
85030212949
-
-
arXiv preprint arXiv:1704.04861
-
Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., and Adam, H. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861, 2017.
-
(2017)
Mobilenets: Efficient Convolutional Neural Networks for Mobile Vision Applications
-
-
Howard, A.G.1
Zhu, M.2
Chen, B.3
Kalenichenko, D.4
Wang, W.5
Weyand, T.6
Andreetto, M.7
Adam, H.8
-
17
-
-
85055117295
-
-
arXiv preprint arXiv:1711.09224
-
Huang, G., Liu, S., van der Maaten, L., and Weinberger, K. Q. Condensenet: An efficient densenet using learned group convolutions. arXiv preprint arXiv:1711.09224, 2017a.
-
(2017)
Condensenet: An Efficient Densenet Using Learned Group Convolutions
-
-
Huang, G.1
Liu, S.2
Van Der Maaten, L.3
Weinberger, K.Q.4
-
18
-
-
85035343801
-
Densely connected convolutional networks
-
Huang, G., Liu, Z., Weinberger, K. Q., and van der Maaten, L. Densely connected convolutional networks. CVPR, 2017b.
-
(2017)
CVPR
-
-
Huang, G.1
Liu, Z.2
Weinberger, K.Q.3
Van Der Maaten, L.4
-
22
-
-
85055111162
-
-
arXiv preprint arXiv:1712.00559
-
Liu, C., Zoph, B., Shlens, J., Hua, W., Li, L.-J., Fei-Fei, L., Yuille, A., Huang, J., and Murphy, K. Progressive neural architecture search. arXiv preprint arXiv:1712.00559, 2017.
-
(2017)
Progressive Neural Architecture Search
-
-
Liu, C.1
Zoph, B.2
Shlens, J.3
Hua, W.4
Li, L.-J.5
Fei-Fei, L.6
Yuille, A.7
Huang, J.8
Murphy, K.9
-
23
-
-
85083952289
-
Hierarchical representations for ef-ficient architecture search
-
Liu, H., Simonyan, K., Vinyals, O., Fernando, C., and Kavukcuoglu, K. Hierarchical representations for ef-ficient architecture search. ICLR, 2018.
-
(2018)
ICLR
-
-
Liu, H.1
Simonyan, K.2
Vinyals, O.3
Fernando, C.4
Kavukcuoglu, K.5
-
25
-
-
85037035573
-
Towards automatically-tuned neural networks
-
Mendoza, H., Klein, A., Feurer, M., Springenberg, J. T., and Hutter, F. Towards automatically-tuned neural networks. In Workshop on Automatic Machine Learning, 2016.
-
(2016)
Workshop on Automatic Machine Learning
-
-
Mendoza, H.1
Klein, A.2
Feurer, M.3
Springenberg, J.T.4
Hutter, F.5
-
27
-
-
85052977250
-
-
arXiv preprint arXiv:1802.03268
-
Pham, H., Guan, M. Y., Zoph, B., Le, Q. V., and Dean, J. Efficient neural architecture search via parameter sharing. arXiv preprint arXiv:1802.03268, 2018.
-
(2018)
Efficient Neural Architecture Search via Parameter Sharing
-
-
Pham, H.1
Guan, M.Y.2
Zoph, B.3
Le, Q.V.4
Dean, J.5
-
28
-
-
85048592974
-
Large-scale evolution of image classifiers
-
Real, E., Moore, S., Selle, A., Saxena, S., Suematsu, Y. L., Le, Q., and Kurakin, A. Large-scale evolution of image classifiers. ICML, 2017.
-
(2017)
ICML
-
-
Real, E.1
Moore, S.2
Selle, A.3
Saxena, S.4
Suematsu, Y.L.5
Le, Q.6
Kurakin, A.7
-
29
-
-
85051500396
-
-
arXiv preprint arXiv:1802.01548
-
Real, E., Aggarwal, A., Huang, Y., and Le, Q. V. Regularized evolution for image classifier architecture search. arXiv preprint arXiv:1802.01548, 2018.
-
(2018)
Regularized Evolution for Image Classifier Architecture Search
-
-
Real, E.1
Aggarwal, A.2
Huang, Y.3
Le, Q.V.4
-
31
-
-
84937522268
-
Going deeper with convolutions
-
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A. Going deeper with convolutions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
32
-
-
84986296808
-
Rethinking the inception architecture for computer vision
-
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., and Wojna, Z. Rethinking the inception architecture for computer vision. In CVPR, 2016.
-
(2016)
CVPR
-
-
Szegedy, C.1
Vanhoucke, V.2
Ioffe, S.3
Shlens, J.4
Wojna, Z.5
-
33
-
-
85028013193
-
Inception-v4, inception-resnet and the impact of residual connections on learning
-
Szegedy, C., Ioffe, S., Vanhoucke, V., and Alemi, A. A. Inception-v4, inception-resnet and the impact of residual connections on learning. In AAAI, 2017.
-
(2017)
AAAI
-
-
Szegedy, C.1
Ioffe, S.2
Vanhoucke, V.3
Alemi, A.A.4
-
34
-
-
84943797465
-
Improved semantic representations from tree-structured long short-term memory networks
-
Tai, K. S., Socher, R., and Manning, C. D. Improved semantic representations from tree-structured long short-term memory networks. ACL, 2015.
-
(2015)
ACL
-
-
Tai, K.S.1
Socher, R.2
Manning, C.D.3
-
35
-
-
85019250516
-
Residual networks behave like ensembles of relatively shallow networks
-
Veit, A., Wilber, M. J., and Belongie, S. Residual networks behave like ensembles of relatively shallow networks. In NIPS, 2016.
-
(2016)
NIPS
-
-
Veit, A.1
Wilber, M.J.2
Belongie, S.3
-
36
-
-
0000337576
-
Simple statistical gradient-following algorithms for connectionist reinforcement learning
-
Williams, R. J. Simple statistical gradient-following algorithms for connectionist reinforcement learning. In Reinforcement Learning. 1992.
-
(1992)
Reinforcement Learning
-
-
Williams, R.J.1
-
37
-
-
85043777453
-
Aggre-gated residual transformations for deep neural networks
-
Xie, S., Girshick, R., Dollar, P., Tu, Z., and He, K. Aggre-gated residual transformations for deep neural networks. In CVPR, 2017.
-
(2017)
CVPR
-
-
Xie, S.1
Girshick, R.2
Dollar, P.3
Tu, Z.4
He, K.5
-
38
-
-
85034831310
-
-
arXiv preprint arXiv:1707.01083
-
Zhang, X., Zhou, X., Lin, M., and Sun, J. Shufflenet: An extremely efficient convolutional neural network for mobile devices. arXiv preprint arXiv:1707.01083, 2017.
-
(2017)
Shufflenet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
-
-
Zhang, X.1
Zhou, X.2
Lin, M.3
Sun, J.4
-
40
-
-
85068717703
-
Neural architecture search with reinforcement learning
-
Zoph, B. and Le, Q. V. Neural architecture search with reinforcement learning. ICLR, 2017.
-
(2017)
ICLR
-
-
Zoph, B.1
Le, Q.V.2
-
41
-
-
85048802871
-
-
arXiv preprint arXiv:1707.07012
-
Zoph, B., Vasudevan, V., Shlens, J., and Le, Q. V. Learning transferable architectures for scalable image recognition. arXiv preprint arXiv:1707.07012, 2017.
-
(2017)
Learning Transferable Architectures for Scalable Image Recognition
-
-
Zoph, B.1
Vasudevan, V.2
Shlens, J.3
Le, Q.V.4
|