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Papers (AU14)‎

The presentation order is below:
Date
Presenter
Topic/Paper
10/09
 Rapid object detection using a boosted cascade of simple features.
P. Viola and M. Jones.
In CVPR 2001: Proceedings of Computer Vision and Pattern Recognition, pp.I-511,I-518 vol.1, 2001
pdf
10/23
Distributed Representations of Words and Phrases and their Compositionality.
Tomas Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean
In NIPS 2013, pp. 3111-3119, 2013
pdf

Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
In Proceedings of Workshop at ICLR, 2013.
arxiv, code

Distributed Representations of Sentences and Documents
Quoc Lec and Tomas Mikolov
pdf
10/24
 Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data.
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan.
CoRR abs/1402.2676 (2014)
arxiv, page
11/06
 Neural Turing Machines
Alex Graves, Greg Wayne, Ivo Danihelka
arxiv
11/20 
Return of the Devil in the Details: Delving Deep into Convolutional Nets
K. Chatfield, K. Simonyan, A. Vedaldi, A. Zisserman   Best Scientific Paper Award
In BMVC '14: Proceedings of British Machine Vision Conference, 2014
Page | pdf 
11/20
 On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton.
In ICML 2013: Proceedings of International Conference on Machine Learning, 2013.
pdf
12/04
 Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing
M. Zaharia, M. Chowdhury, T. Das, A. Dave, J. Ma, M. McCauley, M. J. Franklin, S. Shenker, I. Stoica
Technical Report No. UCB/EECS-2011-82, 2011.
pdf
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