-
2
-
-
84959243017
-
Evaluation of output embeddings for fine-grained image classification
-
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele. Evaluation of output embeddings for fine-grained image classification. In CVPR, 2015.
-
(2015)
CVPR
-
-
Akata, Z.1
Reed, S.2
Walter, D.3
Lee, H.4
Schiele, B.5
-
3
-
-
85031906203
-
Improving semantic embedding consistency by metric learning for zero-shot classiffication
-
M. Bucher, S. Herbin, and F. Jurie. Improving semantic embedding consistency by metric learning for zero-shot classiffication. In ECCV, 2016.
-
(2016)
ECCV
-
-
Bucher, M.1
Herbin, S.2
Jurie, F.3
-
5
-
-
85041895800
-
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
-
W.-L. Chao, S. Changpinyo, B. Gong, and F. Sha. An empirical study and analysis of generalized zero-shot learning for object recognition in the wild. In ECCV, 2016.
-
(2016)
ECCV
-
-
Chao, W.-L.1
Changpinyo, S.2
Gong, B.3
Sha, F.4
-
6
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei- Fei. 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
-
7
-
-
85006816659
-
Improving zero-shot learning by mitigating the hubness problem
-
G. Dinu, A. Lazaridou, and M. Baroni. Improving zero-shot learning by mitigating the hubness problem. In ICLR workshop, 2014.
-
(2014)
ICLR Workshop
-
-
Dinu, G.1
Lazaridou, A.2
Baroni, M.3
-
9
-
-
70450219358
-
Learning visual attributes
-
V. Ferrari and A. Zisserman. Learning visual attributes. In NIPS, 2007.
-
(2007)
NIPS
-
-
Ferrari, V.1
Zisserman, A.2
-
10
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
A. Frome, G. S. Corrado, J. Shlens, S. Bengio, J. Dean, T. Mikolov, et al. Devise: A deep visual-semantic embedding model. In NIPS, 2013.
-
(2013)
NIPS
-
-
Frome, A.1
Corrado, G.S.2
Shlens, J.3
Bengio, S.4
Dean, J.5
Mikolov, T.6
-
11
-
-
84906482165
-
Transductive multi-view embedding for zero-shot recognition and annotation
-
Y. Fu, T. M. Hospedales, T. Xiang, Z. Fu, and S. Gong. Transductive multi-view embedding for zero-shot recognition and annotation. In ECCV, 2014.
-
(2014)
ECCV
-
-
Fu, Y.1
Hospedales, T.M.2
Xiang, T.3
Fu, Z.4
Gong, S.5
-
13
-
-
84986246085
-
Semi-supervised vocabulary-informed learning
-
Y. Fu and L. Sigal. Semi-supervised vocabulary-informed learning. In CVPR, 2016.
-
(2016)
CVPR
-
-
Fu, Y.1
Sigal, L.2
-
14
-
-
84940993365
-
Zero-shot object recognition by semantic manifold distance
-
Z. Fu, T. Xiang, E. Kodirov, and S. Gong. Zero-shot object recognition by semantic manifold distance. In CVPR, 2015.
-
(2015)
CVPR
-
-
Fu, Z.1
Xiang, T.2
Kodirov, E.3
Gong, S.4
-
15
-
-
84893701254
-
Hybrid speech recognition with deep bidirectional lstm
-
A. Graves, N. Jaitly, and A.-r. Mohamed. Hybrid speech recognition with deep bidirectional lstm. In ASRU, 2013.
-
(2013)
ASRU
-
-
Graves, A.1
Jaitly, N.2
Mohamed, A.-R.3
-
16
-
-
84890543083
-
Speech recognition with deep recurrent neural networks
-
A. Graves, A. Mohamed, and G. Hinton. Speech recognition with deep recurrent neural networks. In ICASSP, 2013.
-
(2013)
ICASSP
-
-
Graves, A.1
Mohamed, A.2
Hinton, G.3
-
18
-
-
85019222252
-
Local similarity-aware deep feature embedding
-
C. Huang, C. C. Loy, and X. Tang. Local similarity-aware deep feature embedding. In NIPS, 2016.
-
(2016)
NIPS
-
-
Huang, C.1
Loy, C.C.2
Tang, X.3
-
19
-
-
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 ICML, 2015.
-
(2015)
ICML
-
-
Ioffe, S.1
Szegedy, C.2
-
20
-
-
85083951076
-
Adam: A method for stochastic optimization
-
D. Kingma and J. Ba. Adam: A method for stochastic optimization. In ICLR, 2015.
-
(2015)
ICLR
-
-
Kingma, D.1
Ba, J.2
-
21
-
-
84876231242
-
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
-
22
-
-
84894522762
-
Attributebased classification for zero-shot visual object categorization
-
C. H. Lampert, H. Nickisch, and S. Harmeling. Attributebased classification for zero-shot visual object categorization. PAMI, 2014.
-
(2014)
PAMI
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
24
-
-
84973882857
-
Predicting deep zero-shot convolutional neural networks using textual descriptions
-
J. Lei Ba, K. Swersky, S. Fidler, and R. Salakhutdinov. Predicting deep zero-shot convolutional neural networks using textual descriptions. In ICCV, 2015.
-
(2015)
ICCV
-
-
Lei Ba, J.1
Swersky, K.2
Fidler, S.3
Salakhutdinov, R.4
-
25
-
-
57249084011
-
Visualizing data using t-SNE
-
L. v. d. Maaten and G. Hinton. Visualizing data using t-SNE. JMLR, 2008.
-
(2008)
JMLR
-
-
Maaten, L.V.D.1
Hinton, G.2
-
26
-
-
85044398049
-
Hubness and pollution: Delving into cross-space mapping for zero-shot learning
-
B. Marco, L. Angeliki, and D. Georgiana. Hubness and pollution: Delving into cross-space mapping for zero-shot learning. In ACL, 2015.
-
(2015)
ACL
-
-
Marco, B.1
Angeliki, L.2
Georgiana, D.3
-
27
-
-
84883488616
-
Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
-
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka. Metric learning for large scale image classification: Generalizing to new classes at near-zero cost. In ECCV, 2012.
-
(2012)
ECCV
-
-
Mensink, T.1
Verbeek, J.2
Perronnin, F.3
Csurka, G.4
-
29
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In NIPS, 2013.
-
(2013)
NIPS
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
30
-
-
85049401332
-
Gaussian visual-linguistic embedding for zero-shot recognition
-
T. Mukherjee and T. Hospedales. Gaussian visual-linguistic embedding for zero-shot recognition. In EMNLP, 2016.
-
(2016)
EMNLP
-
-
Mukherjee, T.1
Hospedales, T.2
-
31
-
-
85083952206
-
Zero-shot learning by convex combination of semantic embeddings
-
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. S. Corrado, and J. Dean. Zero-shot learning by convex combination of semantic embeddings. In ICLR, 2014.
-
(2014)
ICLR
-
-
Norouzi, M.1
Mikolov, T.2
Bengio, S.3
Singer, Y.4
Shlens, J.5
Frome, A.6
Corrado, G.S.7
Dean, J.8
-
33
-
-
78649417385
-
Hubs in space: Popular nearest neighbors in high-dimensional data
-
M. Radovanović, A. Nanopoulos, and M. Ivanović. Hubs in space: Popular nearest neighbors in high-dimensional data. JMLR, 2010.
-
(2010)
JMLR
-
-
Radovanović, M.1
Nanopoulos, A.2
Ivanović, M.3
-
34
-
-
84986250442
-
Learning deep representations of fine-grained visual descriptions
-
S. Reed, Z. Akata, B. Schiele, and H. Lee. Learning deep representations of fine-grained visual descriptions. In CVPR, 2016.
-
(2016)
CVPR
-
-
Reed, S.1
Akata, Z.2
Schiele, B.3
Lee, H.4
-
35
-
-
84899001511
-
Transfer learning in a transductive setting
-
M. Rohrbach, S. Ebert, and B. Schiele. Transfer learning in a transductive setting. In NIPS, 2013.
-
(2013)
NIPS
-
-
Rohrbach, M.1
Ebert, S.2
Schiele, B.3
-
36
-
-
80052892795
-
Evaluating knowledge transfer and zero-shot learning in a large-scale setting
-
M. Rohrbach, M. Stark, and B. Schiele. Evaluating knowledge transfer and zero-shot learning in a large-scale setting. In CVPR, 2011.
-
(2011)
CVPR
-
-
Rohrbach, M.1
Stark, M.2
Schiele, B.3
-
37
-
-
84969931523
-
An embarrassingly simple approach to zero-shot learning
-
B. Romera-Paredes and P. Torr. An embarrassingly simple approach to zero-shot learning. In ICML, 2015.
-
(2015)
ICML
-
-
Romera-Paredes, B.1
Torr, P.2
-
38
-
-
84947041871
-
ImageNet Large Scale Visual Recognition Challenge
-
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. ImageNet Large Scale Visual Recognition Challenge. IJCV, 2015.
-
(2015)
IJCV
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
40
-
-
84906347546
-
-
arXiv preprint arXiv: 1312.6229
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229, 2013.
-
(2013)
Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
41
-
-
85044354766
-
Ridge regression, hubness, and zero-shot learning
-
Y. Shigeto, I. Suzuki, K. Hara, M. Shimbo, and Y. Matsumoto. Ridge regression, hubness, and zero-shot learning. In ECML/PKDD, 2015.
-
(2015)
ECML/PKDD
-
-
Shigeto, Y.1
Suzuki, I.2
Hara, K.3
Shimbo, M.4
Matsumoto, Y.5
-
44
-
-
84937522268
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. 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
-
45
-
-
84856635994
-
Multiclass recognition and part localization with humans in the loop
-
C. Wah, S. Branson, P. Perona, and S. Belongie. Multiclass recognition and part localization with humans in the loop. In ICCV, 2011.
-
(2011)
ICCV
-
-
Wah, C.1
Branson, S.2
Perona, P.3
Belongie, S.4
-
46
-
-
85083954228
-
A unified perspective on multi-domain and multi-task learning
-
Y. Yang and T. M. Hospedales. A unified perspective on multi-domain and multi-task learning. In ICLR, 2015.
-
(2015)
ICLR
-
-
Yang, Y.1
Hospedales, T.M.2
-
47
-
-
84973910934
-
Zero-shot learning via semantic similarity embedding
-
Z. Zhang and V. Saligrama. Zero-shot learning via semantic similarity embedding. In ICCV, 2015.
-
(2015)
ICCV
-
-
Zhang, Z.1
Saligrama, V.2
-
48
-
-
84986292720
-
Zero-shot learning via joint latent similarity embedding
-
Z. Zhang and V. Saligrama. Zero-shot learning via joint latent similarity embedding. In CVPR, 2016.
-
(2016)
CVPR
-
-
Zhang, Z.1
Saligrama, V.2
-
49
-
-
85031924576
-
Zero-shot recognition via structured prediction
-
Z. Zhang and V. Saligrama. Zero-shot recognition via structured prediction. In ECCV, 2016.
-
(2016)
ECCV
-
-
Zhang, Z.1
Saligrama, V.2
|