-
1
-
-
84937849144
-
Generative adversarial nets
-
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, "Generative adversarial nets, " in Proc. Advances Neural Information Processing Systems Conf., 2014, pp. 2672-2680.
-
(2014)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 2672-2680
-
-
Goodfellow, I.1
Pouget-Abadie, J.2
Mirza, M.3
Xu, B.4
Warde-Farley, D.5
Ozair, S.6
Courville, A.7
Bengio, Y.8
-
2
-
-
84990053619
-
Generative visual manipulation on the natural image manifold
-
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros, "Generative visual manipulation on the natural image manifold, " in Proc. European Conf. Computer Vision, 2016, pp. 597-613.
-
(2016)
Proc. European Conf. Computer Vision
, pp. 597-613
-
-
Zhu, J.-Y.1
Krähenbühl, P.2
Shechtman, E.3
Efros, A.A.4
-
3
-
-
85020885914
-
Unsupervised pixel-level domain adaptation with generative adversarial networks
-
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan, "Unsupervised pixel-level domain adaptation with generative adversarial networks, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2016, pp. 3722-3731.
-
(2016)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 3722-3731
-
-
Bousmalis, K.1
Silberman, N.2
Dohan, D.3
Erhan, D.4
Krishnan, D.5
-
4
-
-
85041892358
-
Unpaired image-to-image translation using cycle-consistent adversarial networks
-
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros. (2017). Unpaired image-to-image translation using cycle-consistent adversarial networks, Proc. Int. Conf. Computer Vision. [Online]. Available: https://arxiv. org/abs/1703. 10593
-
(2017)
Proc. Int. Conf. Computer Vision.
-
-
Zhu, J.-Y.1
Park, T.2
Isola, P.3
Efros, A.A.4
-
6
-
-
84989924163
-
Adversarial training for sketch retrieval
-
Amsterdam, The Netherlands
-
A. Creswell and A. A. Bharath, "Adversarial training for sketch retrieval, " in Proc. European Conf. Computer Vision Workshops, Amsterdam, The Netherlands, 2016, pp. 798-809.
-
(2016)
Proc. European Conf. Computer Vision Workshops
, pp. 798-809
-
-
Creswell, A.1
Bharath, A.A.2
-
7
-
-
84930630277
-
Deep learning
-
Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning, " Nature, vol. 521, no. 7553, pp. 436-444, 2015.
-
(2015)
Nature
, vol.521
, Issue.7553
, pp. 436-444
-
-
LeCun, Y.1
Bengio, Y.2
Hinton, G.3
-
8
-
-
58149421595
-
Analysis of a complex of statistical variables into principal components
-
H. Hotelling, "Analysis of a complex of statistical variables into principal components, " J. Educ. Psychol., vol. 24, no. 6, pp. 417, 1933.
-
(1933)
J. Educ. Psychol.
, vol.24
, Issue.6
, pp. 417
-
-
Hotelling, H.1
-
10
-
-
84860631347
-
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
-
M. Gutmann and A. Hyvärinen, "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models, " Artif. Intell. Statist., vol. 1, no. 2, p. 6, 2010.
-
(2010)
Artif. Intell. Statist.
, vol.1
, Issue.2
, pp. 6
-
-
Gutmann, M.1
Hyvärinen, A.2
-
11
-
-
84899017362
-
Generalized denoising autoencoders as generative models
-
Y. Bengio, L. Yao, G. Alain, and P. Vincent, "Generalized denoising autoencoders as generative models, " in Proc. Advances Neural Information Processing Systems Conf., 2013, pp. 899-907.
-
(2013)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 899-907
-
-
Bengio, Y.1
Yao, L.2
Alain, G.3
Vincent, P.4
-
13
-
-
84965143571
-
Deep generative image models using a Laplacian pyramid of adversarial networks
-
E. L. Denton, S. Chintala, A. Szlam, and R. Fergus, "Deep generative image models using a Laplacian pyramid of adversarial networks, " in Proc. Advances Neural Information Processing Systems Conf., 2015, pp. 1486-1494.
-
(2015)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 1486-1494
-
-
Denton, E.L.1
Chintala, S.2
Szlam, A.3
Fergus, R.4
-
14
-
-
85016159876
-
Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
-
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum, "Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling, " in Proc. Advances Neural Information Processing Systems Conf., 2016, pp. 82-90.
-
(2016)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 82-90
-
-
Wu, J.1
Zhang, C.2
Xue, T.3
Freeman, B.4
Tenenbaum, J.5
-
16
-
-
85019228440
-
Infogan: Interpretable representation learning by information maximizing generative adversarial nets
-
X. Chen, Y. Duan, R. Houthooft, J. Schulman, I. Sutskever, and P. Abbeel, "Infogan: Interpretable representation learning by information maximizing generative adversarial nets, " in Proc. Advances Neural Information Processing Systems Conf., 2016, pp. 2172-2180.
-
(2016)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 2172-2180
-
-
Chen, X.1
Duan, Y.2
Houthooft, R.3
Schulman, J.4
Sutskever, I.5
Abbeel, P.6
-
19
-
-
85041900982
-
Adversarially learned inference
-
V. Dumoulin, I. Belghazi, B. Poole, O. Mastropietro, A. Lamb, M. Arjovsky, and A. Courville, "Adversarially learned inference, " in Proc. Int. Conf. Learning Representations, 2017.
-
(2017)
Proc. Int. Conf. Learning Representations
-
-
Dumoulin, V.1
Belghazi, I.2
Poole, B.3
Mastropietro, O.4
Lamb, A.5
Arjovsky, M.6
Courville, A.7
-
21
-
-
85040657945
-
Towards understanding adversarial learning for joint distribution matching
-
C. Li, H. Liu, C. Chen, Y. Pu, L. Chen, R. Henao, and L. Carin, "Towards understanding adversarial learning for joint distribution matching, " in Proc. Advances Neural Information Processing Systems Conf., 2017.
-
(2017)
Proc. Advances Neural Information Processing Systems Conf.
-
-
Li, C.1
Liu, H.2
Chen, C.3
Pu, Y.4
Chen, L.5
Henao, R.6
Carin, L.7
-
25
-
-
85018875486
-
Improved techniques for training GANS
-
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen, "Improved techniques for training GANS, " in Proc. Advances Neural Information Processing Systems Conf., 2016, pp. 2226-2234.
-
(2016)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 2226-2234
-
-
Salimans, T.1
Goodfellow, I.2
Zaremba, W.3
Cheung, V.4
Radford, A.5
Chen, X.6
-
27
-
-
85015843890
-
Fully convolutional networks for semantic segmentation
-
E. Shelhamer, J. Long, and T. Darrell, "Fully convolutional networks for semantic segmentation, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 39, no. 4, pp. 640-651, 2017.
-
(2017)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.39
, Issue.4
, pp. 640-651
-
-
Shelhamer, E.1
Long, J.2
Darrell, T.3
-
28
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
S. Ioffe and C. Szegedy, "Batch normalization: Accelerating deep network training by reducing internal covariate shift, " in Proc. 32nd Int. Conf. Machine Learning, 2015, pp. 448-456.
-
(2015)
Proc. 32nd Int. Conf. Machine Learning
, pp. 448-456
-
-
Ioffe, S.1
Szegedy, C.2
-
29
-
-
85081923574
-
Amortised map inference for image super-resolution
-
C. K. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár, "Amortised map inference for image super-resolution, " in Proc. Int. Conf. Learning Representations, 2017.
-
(2017)
Proc. Int. Conf. Learning Representations
-
-
Sønderby, C.K.1
Caballero, J.2
Theis, L.3
Shi, W.4
Huszár, F.5
-
30
-
-
85018914753
-
F-GAN: Training generative neural samplers using variational divergence minimization
-
S. Nowozin, B. Cseke, and R. Tomioka, "F-GAN: Training generative neural samplers using variational divergence minimization, " in Proc. Advances Neural Information Processing Systems Conf., 2016, pp. 271-279.
-
(2016)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 271-279
-
-
Nowozin, S.1
Cseke, B.2
Tomioka, R.3
-
31
-
-
85040698436
-
-
M. Uehara, I. Sato, M. Suzuki, K. Nakayama, and Y. Matsuo, "Generative adversarial nets from a density ratio estimation perspective, " arXiv Preprint, arXiv:1610. 02920, 2016.
-
(2016)
Generative Adversarial Nets from A Density Ratio Estimation Perspective
-
-
Uehara, M.1
Sato, I.2
Suzuki, M.3
Nakayama, K.4
Matsuo, Y.5
-
32
-
-
85035363407
-
Wasserstein GAN
-
M. Arjovsky, S. Chintala, and L. Bottou, "Wasserstein GAN, " in Proc. 34th Int. Conf. Machine Learning, 2017, pp. 214-223.
-
(2017)
Proc. 34th Int. Conf. Machine Learning
, pp. 214-223
-
-
Arjovsky, M.1
Chintala, S.2
Bottou, L.3
-
33
-
-
85047004943
-
Improved training of wasserstein GANS
-
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville, "Improved training of wasserstein GANS, " in Proc. Advances Neural Information Processing Systems Conf., 2017.
-
(2017)
Proc. Advances Neural Information Processing Systems Conf.
-
-
Gulrajani, I.1
Ahmed, F.2
Arjovsky, M.3
Dumoulin, V.4
Courville, A.5
-
34
-
-
85083951332
-
Efficient estimation of word representations in vector space
-
T. Mikolov, K. Chen, G. Corrado, and J. Dean, "Efficient estimation of word representations in vector space, " in Proc. Int. Conf. Learning Representations, 2013.
-
(2013)
Proc. Int. Conf. Learning Representations
-
-
Mikolov, T.1
Chen, K.2
Corrado, G.3
Dean, J.4
-
35
-
-
85040691866
-
Deligan: Generative adversarial networks for diverse and limited data
-
S. Gurumurthy, R. K. Sarvadevabhatla, and V. B. Radhakrishnan, "Deligan: Generative adversarial networks for diverse and limited data, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2017, pp. 166-174.
-
(2017)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 166-174
-
-
Gurumurthy, S.1
Sarvadevabhatla, R.K.2
Radhakrishnan, V.B.3
-
36
-
-
85035231525
-
Photo-realistic single image super-resolution using a generative adversarial network
-
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi, "Photo-realistic single image super-resolution using a generative adversarial network, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2017, pp. 4681-4690.
-
(2017)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 4681-4690
-
-
Ledig, C.1
Theis, L.2
Huszár, F.3
Caballero, J.4
Aitken, A.5
Tejani, A.6
Totz, J.7
Wang, Z.8
Shi, W.9
-
37
-
-
84990052453
-
Ultra-resolving face images by discriminative generative networks
-
X. Yu and F. Porikli, "Ultra-resolving face images by discriminative generative networks, " in Proc. European Conf. Computer Vision, 2016, pp. 318-333.
-
(2016)
Proc. European Conf. Computer Vision
, pp. 318-333
-
-
Yu, X.1
Porikli, F.2
-
38
-
-
85044119060
-
Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders
-
X. Yu and F. Porikli, "Hallucinating very low-resolution unaligned and noisy face images by transformative discriminative autoencoders, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2017, pp. 3760-3768.
-
(2017)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 3760-3768
-
-
Yu, X.1
Porikli, F.2
-
39
-
-
85019045745
-
Learning from simulated and unsupervised images through adversarial training
-
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb, "Learning from simulated and unsupervised images through adversarial training, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2016, pp. 2107-2116.
-
(2016)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 2107-2116
-
-
Shrivastava, A.1
Pfister, T.2
Tuzel, O.3
Susskind, J.4
Wang, W.5
Webb, R.6
-
40
-
-
85040649121
-
Deep future gaze: Gaze anticipation on egocentric videos using adversarial networks
-
M. Zhang, K. T. Ma, J. H. Lim, Q. Zhao, and J. Feng, "Deep future gaze: Gaze anticipation on egocentric videos using adversarial networks, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2017, pp. 4372-4381.
-
(2017)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 4372-4381
-
-
Zhang, M.1
Ma, K.T.2
Lim, J.H.3
Zhao, Q.4
Feng, J.5
-
42
-
-
85041923795
-
Stacked generative adversarial networks
-
X. Huang, Y. Li, O. Poursaeed, J. Hopcroft, and S. Belongie, "Stacked generative adversarial networks, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2016.
-
(2016)
Proc. IEEE Conf. Computer Vision Pattern Recognition
-
-
Huang, X.1
Li, Y.2
Poursaeed, O.3
Hopcroft, J.4
Belongie, S.5
-
43
-
-
84998636515
-
Generative adversarial text to image synthesis
-
S. Reed, Z. Akata, X. Yan, L. Logeswaran, B. Schiele, and H. Lee. (2016). Generative adversarial text to image synthesis, Proc. Int. Conf. Machine Learning. Available: https://arxiv. org/abs/1605. 05396
-
(2016)
Proc. Int. Conf. Machine Learning
-
-
Reed, S.1
Akata, Z.2
Yan, X.3
Logeswaran, L.4
Schiele, B.5
Lee, H.6
-
44
-
-
85018890661
-
Learning what and where to draw
-
S. E. Reed, Z. Akata, S. Mohan, S. Tenka, B. Schiele, and H. Lee, "Learning what and where to draw, " in Proc. Advances Neural Information Processing Systems Conf., 2016, pp. 217-225.
-
(2016)
Proc. Advances Neural Information Processing Systems Conf.
, pp. 217-225
-
-
Reed, S.E.1
Akata, Z.2
Mohan, S.3
Tenka, S.4
Schiele, B.5
Lee, H.6
-
45
-
-
85088232940
-
Neural photo editing with introspective adversarial networks
-
A. Brock, T. Lim, J. M. Ritchie, and N. Weston, "Neural photo editing with introspective adversarial networks, " in Proc. 6th Int. Conf. Learning Representations, 2017.
-
(2017)
Proc. 6th Int. Conf. Learning Representations
-
-
Brock, A.1
Lim, T.2
Ritchie, J.M.3
Weston, N.4
-
46
-
-
85014051586
-
Image-to-image translation with conditional adversarial networks
-
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros, "Image-to-image translation with conditional adversarial networks, " in Proc. IEEE Conf. Computer Vision Pattern Recognition, 2016, pp. 1125-1134.
-
(2016)
Proc. IEEE Conf. Computer Vision Pattern Recognition
, pp. 1125-1134
-
-
Isola, P.1
Zhu, J.-Y.2
Zhou, T.3
Efros, A.A.4
-
47
-
-
84990029626
-
Precomputed real-time texture synthesis with Markovian generative adversarial networks
-
C. Li and M. Wand, "Precomputed real-time texture synthesis with Markovian generative adversarial networks, " in Proc. European Conf. Computer Vision, 2016, pp. 702-716.
-
(2016)
Proc. European Conf. Computer Vision
, pp. 702-716
-
-
Li, C.1
Wand, M.2
-
48
-
-
85048679392
-
Generalization and equilibrium in generative adversarial nets (GANS)
-
S. Arora, R. Ge, Y. Liang, T. Ma, and Y. Zhang, "Generalization and equilibrium in generative adversarial nets (GANS), " in Proc. 34th Int. Conf. Machine Learning, 2017, pp. 224-232.
-
(2017)
Proc. 34th Int. Conf. Machine Learning
, pp. 224-232
-
-
Arora, S.1
Ge, R.2
Liang, Y.3
Ma, T.4
Zhang, Y.5
-
49
-
-
85041920690
-
-
I. Tolstikhin, S. Gelly, O. Bousquet, C.-J. Simon-Gabriel, and B. Schölkopf, "ADAGAN: Boosting generative models, " arXiv Preprint arXiv:1701. 02386. Available: https://arxiv. org/abs/1701. 02386
-
ADAGAN: Boosting Generative Models
-
-
Tolstikhin, I.1
Gelly, S.2
Bousquet, O.3
Simon-Gabriel, C.-J.4
Schölkopf, B.5
-
52
-
-
85072246985
-
Gradient descent only converges to minimizers
-
J. D. Lee, M. Simchowitz, M. I. Jordan, and B. Recht, "Gradient descent only converges to minimizers, " in Proc. Conf. Learning Theory, 2016, pp. 1246-1257.
-
(2016)
Proc. Conf. Learning Theory
, pp. 1246-1257
-
-
Lee, J.D.1
Simchowitz, M.2
Jordan, M.I.3
Recht, B.4
-
53
-
-
0001000786
-
Nonconvergence to unstable points in urn models and stochastic approximations
-
Apr.
-
R. Pemantle, "Nonconvergence to unstable points in urn models and stochastic approximations, " Ann. Probab., vol. 18, no. 2, pp. 698-712, Apr. 1990.
-
(1990)
Ann. Probab.
, vol.18
, Issue.2
, pp. 698-712
-
-
Pemantle, R.1
|