-
3
-
-
85021776053
-
Toward an architecture for neverending language learning
-
A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. R. Hruschka, and T. M. Mitchell. Toward an architecture for neverending language learning. AAAI, 2010.
-
(2010)
AAAI
-
-
Carlson, A.1
Betteridge, J.2
Kisiel, B.3
Settles, B.4
Hruschka, E.R.5
Mitchell, T.M.6
-
4
-
-
84990066096
-
Neil: Extracting visual knowledge from web data
-
X. Chen, A. Shrivastava, and A. Gupta. Neil: Extracting visual knowledge from web data. CVPR, 2013.
-
(2013)
CVPR
-
-
Chen, X.1
Shrivastava, A.2
Gupta, A.3
-
5
-
-
84866719272
-
Discovering localized attributes for fine-grained recognition
-
K. Duan, D. Parikh, D. Crandall, and K. Grauman. Discovering localized attributes for fine-grained recognition. CVPR, 2012.
-
(2012)
CVPR
-
-
Duan, K.1
Parikh, D.2
Crandall, D.3
Grauman, K.4
-
6
-
-
84965159799
-
Convolutional networks on graphs for learning molecular fingerprints
-
D. K. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, and R. P. Adams. Convolutional networks on graphs for learning molecular fingerprints. NIPS, 2015.
-
(2015)
NIPS
-
-
Duvenaud, D.K.1
Maclaurin, D.2
Iparraguirre, J.3
Bombarell, R.4
Hirzel, T.5
Aspuru-Guzik, A.6
Adams, R.P.7
-
12
-
-
84959233256
-
Image retrieval using scene graphs
-
J. Johnson, R. Krishna, M. Stark, L.-J. Li, D. A. Shamma, M. S. Bernstein, and L. Fei-Fei. Image retrieval using scene graphs. CVPR, 2015.
-
(2015)
CVPR
-
-
Johnson, J.1
Krishna, R.2
Stark, M.3
Li, L.-J.4
Shamma, D.A.5
Bernstein, M.S.6
Fei-Fei, L.7
-
13
-
-
85083951076
-
Adam: A method for stochastic optimization
-
D. P. Kingma and J. L. Ba. Adam: A method for stochastic optimization. ICLR, 2015.
-
(2015)
ICLR
-
-
Kingma, D.P.1
Ba, J.L.2
-
14
-
-
0041775676
-
Diffusion kernels on graphs and other discrete input spaces
-
R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. ICML, 2, 2002.
-
(2002)
ICML
, vol.2
-
-
Kondor, R.I.1
Lafferty, J.2
-
15
-
-
84978730111
-
-
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, M. Bernstein, and L. Fei-Fei. Visual genome: Connecting language and vision using crowdsourced dense image annotations. 2016.
-
(2016)
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
-
-
Krishna, R.1
Zhu, Y.2
Groth, O.3
Johnson, J.4
Hata, K.5
Kravitz, J.6
Chen, S.7
Kalantidis, Y.8
Li, L.-J.9
Shamma, D.A.10
Bernstein, M.11
Fei-Fei, L.12
-
16
-
-
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. TPAMI, 2014.
-
(2014)
TPAMI
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
17
-
-
85044578855
-
Random walk inference and learning in a large scale knowledge base
-
N. Lao, T. Mitchell, and W. W. Cohen. Random walk inference and learning in a large scale knowledge base. NIPS, 2011.
-
(2011)
NIPS
-
-
Lao, N.1
Mitchell, T.2
Cohen, W.W.3
-
18
-
-
85083951493
-
Gated graph sequence neural networks
-
Y. Li and R. Zemel. Gated graph sequence neural networks. ICLR, 2016.
-
(2016)
ICLR
-
-
Li, Y.1
Zemel, R.2
-
19
-
-
84937834115
-
Microsoft COCO: Common objects in context
-
T. Lin, M. Maire, S. J. Belongie, R. B. Girshick, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft COCO: common objects in context. ECCV, 2014.
-
(2014)
ECCV
-
-
Lin, T.1
Maire, M.2
Belongie, S.J.3
Girshick, R.B.4
Hays, J.5
Perona, P.6
Ramanan, D.7
Dollár, P.8
Zitnick, C.L.9
-
20
-
-
84858736606
-
Beyond categories: The visual memex model for reasoning about object relationships
-
T. Malisiewicz and A. Efros. Beyond categories: The visual memex model for reasoning about object relationships. NIPS, 2009.
-
(2009)
NIPS
-
-
Malisiewicz, T.1
Efros, A.2
-
21
-
-
38049118136
-
A comparison between recursive neural networks and graph neural networks
-
V. D. Massa, G. Monfardini, L. Sarti, F. Scarselli, M. Maggini, and M. Gori. A comparison between recursive neural networks and graph neural networks. IEEE International Joint Conference on Neural Network Proceedings, 2006.
-
(2006)
IEEE International Joint Conference on Neural Network Proceedings
-
-
Massa, V.D.1
Monfardini, G.2
Sarti, L.3
Scarselli, F.4
Maggini, M.5
Gori, M.6
-
22
-
-
63049119992
-
Neural network for graphs: A contextual constructive approach
-
A. Micheli. Neural network for graphs: A contextual constructive approach. IEEE Transactions on Neural Networks, 2009.
-
(2009)
IEEE Transactions on Neural Networks
-
-
Micheli, A.1
-
23
-
-
84976702763
-
Wordnet: A lexical database for english
-
G. A. Miller. Wordnet: A lexical database for english. ACM, 38, 1995.
-
(1995)
ACM
, vol.38
-
-
Miller, G.A.1
-
24
-
-
84986300500
-
Seeing through the human reporting bias: Visual classifiers from noisy human-centric labels
-
I. Misra, C. L. Zitnick, M. Mitchell, and R. Girshick. Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels. In CVPR, 2016.
-
(2016)
CVPR
-
-
Misra, I.1
Zitnick, C.L.2
Mitchell, M.3
Girshick, R.4
-
28
-
-
84960980241
-
Faster R-CNN: Towards real-time object detection with region proposal networks
-
S. Ren, K. He, R. Girshick, and J. Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. NIPS, 2015.
-
(2015)
NIPS
-
-
Ren, S.1
He, K.2
Girshick, R.3
Sun, J.4
-
29
-
-
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, 115 (3) : 211-252, 2015.
-
(2015)
IJCV
, vol.115
, Issue.3
, pp. 211-252
-
-
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
-
30
-
-
84959184467
-
Viske: Visual knowledge extraction and question answering by visual verification of relation phrases
-
F. Sadeghi, S. K. Divvala, and A. Farhadi. Viske: Visual knowledge extraction and question answering by visual verification of relation phrases. CVPR, 2015.
-
(2015)
CVPR
-
-
Sadeghi, F.1
Divvala, S.K.2
Farhadi, A.3
-
32
-
-
80555129683
-
Weisfeiler-lehman graph kernels
-
N. Shervashidze, P. Schweitzer, E. J. van Leeuwen, K. Mehlhorn, and K. M. Borgwardt. Weisfeiler-lehman graph kernels. JMLR, 2011.
-
(2011)
JMLR
-
-
Shervashidze, N.1
Schweitzer, P.2
Van Leeuwen, E.J.3
Mehlhorn, K.4
Borgwardt, K.M.5
-
33
-
-
84862273366
-
Efficient graphlet kernels for large graph comparison
-
N. Shervashidze, S. V. N. Vishwanathan, T. H. Petri, K. Mehlhorn, and K. M. Borgwardt. Efficient graphlet kernels for large graph comparison. AISTATS, 5, 2009.
-
(2009)
AISTATS
, vol.5
-
-
Shervashidze, N.1
Vishwanathan, S.V.N.2
Petri, T.H.3
Mehlhorn, K.4
Borgwardt, K.M.5
-
34
-
-
84887386223
-
Constrained semisupervised learning using attributes and comparative attributes
-
A. Shrivastava, S. Singh, and A. Gupta. Constrained semisupervised learning using attributes and comparative attributes. ECCV, 2012.
-
(2012)
ECCV
-
-
Shrivastava, A.1
Singh, S.2
Gupta, A.3
-
37
-
-
84911449311
-
Capturing long-tail distributions of object subcategories
-
X. Zhu, D. Anguelov, and D. Ramanan. Capturing long-tail distributions of object subcategories. CVPR, 2014.
-
(2014)
CVPR
-
-
Zhu, X.1
Anguelov, D.2
Ramanan, D.3
|