-
1
-
-
84990056270
-
Entailment above the word level in distributional semantics
-
Baroni, Marco, Bernardi, Raffaella, Do, Ngoc-Quynh, and Shan, Chung-chieh. Entailment above the word level in distributional semantics. In EACL, 2012.
-
(2012)
EACL
-
-
Baroni, M.1
Bernardi, R.2
Do, N.-Q.3
Shan, C.-C.4
-
2
-
-
85120807674
-
Learning structured embeddings of knowledge bases
-
Bordes, Antoine, Weston, Jason, Collobert, Ronan, and Bengio, Yoshua. Learning structured embeddings of knowledge bases. In AAAI, 2011.
-
(2011)
AAAI
-
-
Bordes, A.1
Weston, J.2
Collobert, R.3
Bengio, Y.4
-
3
-
-
84959892771
-
A large annotated corpus for learning natural language inference
-
Bowman, Samuel R., Angeli, Gabor, Potts, Christopher, and Manning, Christopher D. A large annotated corpus for learning natural language inference. In EMNLP, 2015.
-
(2015)
EMNLP
-
-
Bowman, S.R.1
Angeli, G.2
Potts, C.3
Manning, C.D.4
-
4
-
-
84961291190
-
Learning phrase representations using rnn encoder-decoder for statistical machine translation
-
Cho, Kyunghyun, Van Merriënboer, Bart, Gulcehre, Caglar, Bahdanau, Dzmitry, Bougares, Fethi, Schwenk, Holger, and Bengio, Yoshua. Learning phrase representations using rnn encoder-decoder for statistical machine translation. In EMNLP, 2014.
-
(2014)
EMNLP
-
-
Cho, K.1
Van Merriënboer, B.2
Gulcehre, C.3
Bahdanau, D.4
Bougares, F.5
Schwenk, H.6
Bengio, Y.7
-
5
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
Chopra, Sumit, Hadsell, Raia, and LeCun, Yann. Learning a similarity metric discriminatively, with application to face verification. In CVPR, 2005.
-
(2005)
CVPR
-
-
Chopra, S.1
Hadsell, R.2
LeCun, Y.3
-
6
-
-
72249100259
-
ImageNet: A large-scale hierarchical image database
-
Deng, Jia, Dong, Wei, Socher, Richard, Li, Li-Jia, Li, Kai, and Fei-Fei, Li. 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
-
-
84898958665
-
Devise: A deep visual-semantic embedding model
-
Frome, Andrea, Corrado, Greg S, Shlens, Jon, Bengio, Samy, Dean, Jeff, Mikolov, Tomas, 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
-
8
-
-
84973911419
-
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
-
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian. Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. ICCV, 2015.
-
(2015)
ICCV
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
9
-
-
84883394520
-
Framing image description as a ranking task: Data, models and evaluation metrics
-
Hodosh, Micah, Young, Peter, and Hockenmaier, Julia. Framing image description as a ranking task: Data, models and evaluation metrics. JAIR, 2013.
-
(2013)
JAIR
-
-
Hodosh, M.1
Young, P.2
Hockenmaier, J.3
-
10
-
-
84969584486
-
Batch normalization: Accelerating deep network training by reducing internal covariate shift
-
Ioffe, Sergey and Szegedy, Christian. Batch normalization: Accelerating deep network training by reducing internal covariate shift. ICML, 2015.
-
(2015)
ICML
-
-
Ioffe, S.1
Szegedy, C.2
-
11
-
-
84946734827
-
Deep visual-semantic alignments for generating image descriptions
-
Karpathy, Andrej and Li, Fei-Fei. Deep visual-semantic alignments for generating image descriptions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Karpathy, A.1
Li, F.-F.2
-
12
-
-
85083951076
-
ADaM: A method for stochastic optimization
-
Kingma, Diederik and Ba, Jimmy. Adam: A method for stochastic optimization. In ICLR, 2015.
-
(2015)
ICLR
-
-
Kingma, D.1
Ba, J.2
-
14
-
-
84965153327
-
Skip-thought vectors
-
Kiros, Ryan, Zhu, Yukun, Salakhutdinov, Ruslan, Zemel, Richard S, Torralba, Antonio, Urtasun, Raquel, and Fidler, Sanja. Skip-thought vectors. NIPS, 2015.
-
(2015)
NIPS
-
-
Kiros, R.1
Zhu, Y.2
Salakhutdinov, R.3
Zemel, R.S.4
Torralba, A.5
Urtasun, R.6
Fidler, S.7
-
15
-
-
84959196607
-
Associating neural word embeddings with deep image representations using fisher vectors
-
Klein, Benjamin, Lev, Guy, Sadeh, Gil, and Wolf, Lior. Associating neural word embeddings with deep image representations using fisher vectors. In CVPR, 2015.
-
(2015)
CVPR
-
-
Klein, B.1
Lev, G.2
Sadeh, G.3
Wolf, L.4
-
16
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
17
-
-
84911442106
-
Visual semantic search: Retrieving videos via complex textual queries
-
Lin, Dahua, Fidler, Sanja, Kong, Chen, and Urtasun, Raquel. Visual semantic search: Retrieving videos via complex textual queries. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014a.
-
(2014)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Lin, D.1
Fidler, S.2
Kong, C.3
Urtasun, R.4
-
18
-
-
84937834115
-
Microsoft coco: Common objects in context
-
Lin, Tsung-Yi, Maire, Michael, Belongie, Serge, Hays, James, Perona, Pietro, Ramanan, Deva, Dollár, Piotr, and Zitnick, C Lawrence. Microsoft coco: Common objects in context. In ECCV, 2014b.
-
(2014)
ECCV
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C.L.8
-
19
-
-
84973864182
-
Multimodal convolutional neural networks for matching image and sentence
-
Ma, Lin, Lu, Zhengdong, Shang, Lifeng, and Li, Hang. Multimodal convolutional neural networks for matching image and sentence. ICCV, 2015.
-
(2015)
ICCV
-
-
Ma, L.1
Lu, Z.2
Shang, L.3
Li, H.4
-
20
-
-
85083950512
-
Deep captioning with multimodal recurrent neural networks (m-rnn)
-
Mao, Junhua, Xu, Wei, Yang, Yi, Wang, Jiang, and Yuille, Alan. Deep captioning with multimodal recurrent neural networks (m-rnn). In ICLR, 2015.
-
(2015)
ICLR
-
-
Mao, J.1
Xu, W.2
Yang, Y.3
Wang, J.4
Yuille, A.5
-
21
-
-
84926179397
-
Linguistic regularities in continuous space word representations
-
Mikolov, Tomas, Yih, Wen-tau, and Zweig, Geoffrey. Linguistic regularities in continuous space word representations. In HLT-NAACL, pp. 746–751, 2013.
-
(2013)
HLT-NAACL
, pp. 746-751
-
-
Mikolov, T.1
Yih, W.-T.2
Zweig, G.3
-
22
-
-
84976702763
-
WordNet: A lexical database for english
-
Miller, George A. Wordnet: a lexical database for english. Communications of the ACM, 1995.
-
(1995)
Communications of the ACM
-
-
Miller, G.A.1
-
23
-
-
85083952206
-
Zero-shot learning by convex combination of semantic embeddings
-
Norouzi, Mohammad, Mikolov, Tomas, Bengio, Samy, Singer, Yoram, Shlens, Jonathon, Frome, Andrea, Corrado, Greg S, and Dean, Jeffrey. 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
-
24
-
-
84990043973
-
-
arXiv preprint
-
Plummer, Bryan, Wang, Liwei, Cervantes, Chris, Caicedo, Juan, Hockenmaier, Julia, and Lazebnik, Svetlana. Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models. arXiv preprint arXiv:1505.04870, 2015.
-
(2015)
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
-
-
Plummer, B.1
Wang, L.2
Cervantes, C.3
Caicedo, J.4
Hockenmaier, J.5
Lazebnik, S.6
-
25
-
-
84980416021
-
-
arXiv preprint
-
Rocktäschel, Tim, Grefenstette, Edward, Hermann, Karl Moritz, Kočisky, ` Tomáš, and Blunsom, Phil. Reasoning about entailment with neural attention. arXiv preprint arXiv:1509.06664, 2015.
-
(2015)
Reasoning about Entailment with Neural Attention
-
-
Rocktäschel, T.1
Grefenstette, E.2
Hermann, K.M.3
Kočisky, T.4
Blunsom, P.5
-
26
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition
-
Simonyan, K. and Zisserman, A. Very deep convolutional networks for large-scale image recognition. In ICLR, 2015.
-
(2015)
ICLR
-
-
Simonyan, K.1
Zisserman, A.2
-
27
-
-
84898956227
-
Reasoning with neural tensor networks for knowledge base completion
-
Socher, Richard, Chen, Danqi, Manning, Christopher D, and Ng, Andrew. Reasoning with neural tensor networks for knowledge base completion. In NIPS, 2013.
-
(2013)
NIPS
-
-
Socher, R.1
Chen, D.2
Manning, C.D.3
Ng, A.4
-
28
-
-
84906925854
-
Grounded compositional semantics for finding and describing images with sentences
-
Socher, Richard, Karpathy, Andrej, Le, Quoc V, Manning, Christopher D, and Ng, Andrew Y. Grounded compositional semantics for finding and describing images with sentences. TACL, 2014.
-
(2014)
TACL
-
-
Socher, R.1
Karpathy, A.2
Le, Q.V.3
Manning, C.D.4
Ng, A.Y.5
-
30
-
-
85083950597
-
Word representations via Gaussian embedding
-
Vilnis, Luke and McCallum, Andrew. Word representations via gaussian embedding. In ICLR, 2015.
-
(2015)
ICLR
-
-
Vilnis, L.1
McCallum, A.2
-
31
-
-
84946747440
-
Show and tell: A neural image caption generator
-
Vinyals, Oriol, Toshev, Alexander, Bengio, Samy, and Erhan, Dumitru. Show and tell: A neural image caption generator. In CVPR, 2015.
-
(2015)
CVPR
-
-
Vinyals, O.1
Toshev, A.2
Bengio, S.3
Erhan, D.4
-
32
-
-
84906494296
-
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
-
Young, Peter, Lai, Alice, Hodosh, Micah, and Hockenmaier, Julia. From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions. TACL, 2014.
-
(2014)
TACL
-
-
Young, P.1
Lai, A.2
Hodosh, M.3
Hockenmaier, J.4
|