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FieldIDAuthorsYearTitlePublishmentFrom Doc. (ID)Read start(date)Read end(date)Added dateKey words
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machine learning1
Ilya Sutskever, James Martens, Geoffrey Hinton
2011Generating Text with Recurrent Neural Networks[ICML 2011]6/12/2017
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machine learning2
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Jauvin
2003A Neural Probabilistic Language Models
Journal of Machine Learning Research
6/12/2017
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machine learning3
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, Jeff Dean
2013Distributed representations of words and phrases and their compositionality
[NIPS 2013] Advances in Neural Information Processing Systems 26
6/12/2017
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artificial intelligence
4Alan M. Turing1950Computing Machinery and IntelligenceMind 49: 433-4606/12/2017
imitation game, Turing test
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machine learning5
Marcus Liwicki, Alex Graves, Horst Bunke, J¨urgen Schmidhuber
2007A Novel Approach to On-Line Handwriting Recognition Based on Bidirectional Long Short-Term Memory Networks
[ICDAR 2007] Proceedings of the 9th International Conference on Document Analysis and Recognition
6/12/2017
RNN, LSTM(Long Short Term Memory), pattern recognition
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machine learning6
David Rumelhart, Geoffrey Hinton, Ronald Williams
1986Learning representations by backpropagating errorsNature6/17/2017backpropagtion
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72010From Frequency to Meaning: Vector Space Models of Semantics
Journal of Artificial Intelligence Research
6/18/2017
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machine learning8
Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
2013Efficient Estimation of Word Representations in Vector SpaceICLR Workshopword2vec6/18/2017
skip-gram model
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artificial intelligence
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Peratham Wiriyathammabhum, Douglas Summers-Stay, Cornelia Fermüller, Yiannis Aloimonos
2017Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics[CSUR] ACM Computing Surveyskkmin7/13/20177/17/2017
survey, computer vision, natural language processing
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McCulloch, W. S., Pitts, W.
1943A logical calculus of ideas immanent in nervous activityBulletin of Mathematical BiophysicsDeep Learning7/19/2017perceptron
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11Hebb, D. O.1949The Organization of BehaviorWiley, New York7/19/2017
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machine learning12
Hinton, G. E., Osindero, S., and Teh, Y.
2006A fast learning algorithm for deep belief netsNeural ComputationDeep Learning7/19/2017
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machine learning13
Bengio, Y., Lamblin, P., Popovici, D., and Larochelle, H.
2006Greedy layer-wise training of deep networksNIPS 2006Deep Learning7/19/2017
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machine learning14
Ranzato, M., Poultney, C., Chopra, S., and LeCun, Y.
2006Efficient learning of sparse representations with an energy-based modelNIPS 2006Deep Learning7/19/2017
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Hinton, G. E. and Shallice, T.
1991Lesioning an attractor network: investigations of acquired dyslexiaPsychological review7/19/2017
a kind of neural networks used for machine learning used to understand brain function
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16Jordan, M. I.1998Learning in Graphical ModelsKluwer7/19/2017
graphical model
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James Martens, Ilya Sutskever
2011Learning Recurrent Neural Networks with Hessian-Free Optimization ICML 2011NNML course7/25/2017
RNN, Echo-State-Network
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Herbert Jaeger, Harald Haas
2004Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless CommunicationScience177/25/2017
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machine learning19
Yoshua Bengio, Aaron Courville, Pascal Vincent
2014Representation Learning: A Review and New Perspectivesarxiv
https://stats.stackexchange.com/questions/95480/comparing-different-deep-learning-models
7/26/2017
representation learning, review
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Dayan, P., Hinton, G. E. E., Neal, R. M. M., & Zemel, R. S. S.
1995The Helmholtz machineNeural Computation딥러닝 장병탁7/27/2017
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21G. Cybenko1989Approximation by Superpositions of a Sigmoidal Function
Mathematics of Control, Signals, and Systems
딥러닝 장병탁7/27/2017
Prove that one hidden layer is enough.
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22Hornik, K.1991Approximation capabilities of multilayer feedforward networksNeural Networks딥러닝 장병탁7/27/2017
Prove that one hidden layer is enough.
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Ilya Sutskever, Oriol Vinyals , Quoc V. Le
2014Sequence to Sequence Learning with Neural NetworksNIPS 20148/27/2017
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S. Hochreiter, J. Schmidhuber
1997Long short-term memoryNeural Computation8/27/2017
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Yuncheng Li, Yale Song, Liangliang Cao, Joel Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo
2016TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCVPR 20168/31/2017
{(GIF, description)} dataset
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Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler
2015Skip-Thought VectorsNIPS 20158/31/2017
sentence2vector
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Quoc V. Le, Tomas Mikolov
2014Distributed Representations of Sentences and DocumentsICML 20148/31/2017
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Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield,Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis
2016Hybrid computing using a neural network with dynamic external memoryNature9/1/2017
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Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio
2014Identifying and attacking the saddle point problem in high-dimensional non-convex optimizationNIPS 20149/18/2017google search
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Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio
2014Identifying and attacking the saddle point problem in high-dimensional non-convex optimizationarXiv:1406.25729/18/2017
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