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1Deep-AIR: A hybrid CNN-LSTM framework for Fine-grained air pollution forecast
Q. Zhang, J. Lam, V. Li, and Y. Han. arXiv preprint arXiv:2001.11957, (2020)
3 years ago by @msteininger
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cnn
air
forecast
lstm
quality
pollution
cnnairforecastlstmqualitypollution
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2Supertml: Two-dimensional word embedding for the precognition on structured tabular data
B. Sun, L. Yang, W. Zhang, M. Lin, P. Dong, C. Young, and J. Dong. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, page 0--0. (2019)
4 years ago by @becker
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citedby:scholar:timestamp:2021-4-24
cnn
neural
data
citedby:scholar:count:6
tabular
network
nn
citedby:scholar:timestamp:2021-4-24cnnneuraldatacitedby:scholar:count:6tabularnetworknn
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1OmicsMapNet: Transforming omics data to take advantage of Deep Convolutional Neural Network for discovery
S. Ma, and Z. Zhang. arXiv preprint arXiv:1804.05283, (2018)
4 years ago by @becker
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cnn
convoluational
deep
neural
tree
network
multi
omics
citedby:scholar:count:5
multiomics
citedby:scholar:timestamp:2020-8-31
map
nn
cnnconvoluationaldeepneuraltreenetworkmultiomicscitedby:scholar:count:5multiomicscitedby:scholar:timestamp:2020-8-31mapnn
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1Survey of Convolutional Neural Network
X. Zhang, C. Xv, M. Shen, X. He, and W. Du. Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018), Atlantis Press, (2018)
5 years ago by @lanteunis
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CNN
DRLAlgoComparison
CNNDRLAlgoComparison
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2Convolutional Neural Networks over Tree Structures for Programming Language Processing.
L. Mou, G. Li, L. Zhang, T. Wang, and Z. Jin. AAAI, page 1287-1293. AAAI Press, (2016)
5 years ago by @treemage
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ast
thema:pointer_networks
cnn
program_representation
astthema:pointer_networkscnnprogram_representation
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26Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. (2015)cite arxiv:1512.03385Comment: Tech report.
6 years ago by @vsathish
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cnn
deeplearning
msr
cnndeeplearningmsr
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3Sparse DNNs with Improved Adversarial Robustness
Y. Guo, C. Zhang, C. Zhang, and Y. Chen. Advances in Neural Information Processing Systems, page 240--249. (2018)
6 years ago by @loroch
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cnn
adversarial
robustness
deep_learning
sparsity
cnnadversarialrobustnessdeep_learningsparsity
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10Character-level Convolutional Networks for Text Classification
X. Zhang, J. Zhao, and Y. LeCun. Advances in Neural Information Processing Systems 28, Curran Associates, Inc., (2015)
6 years ago by @jaeschke
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cnn
text
understanding
nips
ml
classification
cnntextunderstandingnipsmlclassification
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2Gated Multi-Task Network for Text Classification
L. Xiao, H. Zhang, and W. Chen. NAACL-HLT, Association for Computational Linguistics, (2018)
6 years ago by @dallmann
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multitask
nlp
cnn
deep_learning
multitasknlpcnndeep_learning
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2Cambricon-X: An accelerator for sparse neural networks
S. Zhang, Z. Du, L. Zhang, H. Lan, S. Liu, L. Li, Q. Guo, T. Chen, and Y. Chen. Microarchitecture (MICRO), 2016 49th Annual IEEE/ACM International Symposium on, page 1--12. IEEE, (2016)
7 years ago by @loroch
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cnn
sparse
deep_learning
performance
acceleration
architecture
cnnsparsedeep_learningperformanceaccelerationarchitecture
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1Derivation of Backpropagation in Convolutional Neural Network (CNN)
Z. Zhang. (October 2016)
7 years ago by @tobias.koopmann
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mlnlp
cnn
backpropagation
mlnlpcnnbackpropagation
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10Character-level Convolutional Networks for Text Classification
X. Zhang, J. Zhao, and Y. LeCun. NIPS, (2015)
7 years ago by @tobias.koopmann
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cnn
ma
convolution
text_classification
deep_learning
cnnmaconvolutiontext_classificationdeep_learning
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26Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. (2015)cite arxiv:1512.03385Comment: Tech report.
7 years ago by @nosebrain
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image
cnn
recognition
renset
imagecnnrecognitionrenset
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2ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction
J. Rotsztejn, N. Hollenstein, and C. Zhang. (2018)cite arxiv:1804.02042Comment: Accepted to SemEval 2018 (12th International Workshop on Semantic Evaluation).
7 years ago by @schwemmlein
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cnn
semeval
neural
relation
ecl
network
extraction
classification
nlp
rnn
2018
eth
semeval18
nn
cnnsemevalneuralrelationeclnetworkextractionclassificationnlprnn2018ethsemeval18nn
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1Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
D. Wang, L. Zhou, X. Zhang, X. Bai, and J. Zhou. (2018)cite arxiv:1803.05729Comment: 17 pages, 4 figures.
7 years ago by @rcb
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cnn
compression
cnncompression
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1HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Q. Zhu, and R. Zhang. (2018)cite arxiv:1803.02742Comment: 11 pages,3 figures.
7 years ago by @jk_itwm
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CNN
speedup
CNNspeedup
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10Character-level Convolutional Networks for Text Classification
X. Zhang, J. Zhao, and Y. LeCun. NIPS, (2015)
7 years ago by @dallmann
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character
cnn
text_classification
thema
deep_learning
thema:text_classification
charactercnntext_classificationthemadeep_learningthema:text_classification
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2DaDianNao: A Machine-Learning Supercomputer.
Y. Chen, T. Luo, S. Liu, S. Zhang, L. He, J. Wang, L. Li, T. Chen, Z. Xu, N. Sun and 1 other author(s). MICRO, page 609-622. IEEE, (2014)
7 years ago by @loroch
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hardware
cnn
implementation
ASIC
acceleration
architecture
hardwarecnnimplementationASICaccelerationarchitecture
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26Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. (2015)cite arxiv:1512.03385Comment: Tech report.
7 years ago by @dallmann
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cnn
deep_learning
cnndeep_learning
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1Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
H. Wang, Q. Zhang, Y. Wang, and R. Hu. (2017)
7 years ago by @jk_itwm
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CNN
l2l
prune
CNNl2lprune
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