BibSLEIGH corpus
BibSLEIGH tags
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Canada
1 × China
1 × Finland
1 × France
1 × Israel
1 × United Kingdom
4 × USA
Collaborated with:
G.E.Hinton Y.Tang A.Mnih S.T.Roweis I.Murray R.B.Grosse R.Kiros R.S.Zemel N.Srivastava E.Mansimov J.Langford T.Zhang Z.Ghahramani H.M.Wallach D.M.Mimno K.Xu J.Ba K.Cho A.C.Courville Y.Bengio
Talks about:
deep (5) learn (4) factor (3) model (3) use (3) boltzmann (2) gradient (2) network (2) neural (2) method (2)

Person: Ruslan Salakhutdinov

DBLP DBLP: Salakhutdinov:Ruslan

Contributed to:

ICML 20152015
ICML c2 20142014
KDD 20142014
ICML c3 20132013
ICML 20122012
ICML 20102010
ICML 20092009
ICML 20082008
ICML 20072007
ICML 20032003

Wrote 16 papers:

ICML-2015-GrosseS #matrix #scalability
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.
ICML-2015-SrivastavaMS #learning #using #video
Unsupervised Learning of Video Representations using LSTMs (NS, EM, RS), pp. 843–852.
ICML-2015-XuBKCCSZB #generative #image #visual notation
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention (KX, JB, RK, KC, ACC, RS, RSZ, YB), pp. 2048–2057.
ICML-c2-2014-KirosSZ #modelling #multimodal
Multimodal Neural Language Models (RK, RS, RSZ), pp. 595–603.
KDD-2014-Salakhutdinov #learning
Deep learning (RS), p. 1973.
Tensor Analyzers (YT, RS, GEH), pp. 163–171.
Deep Mixtures of Factor Analysers (YT, RS, GEH), p. 147.
ICML-2012-TangSH12a #network
Deep Lambertian Networks (YT, RS, GEH), p. 184.
ICML-2010-Salakhutdinov #adaptation #learning #using
Learning Deep Boltzmann Machines using Adaptive MCMC (RS), pp. 943–950.
ICML-2009-LangfordSZ #learning #modelling
Learning nonlinear dynamic models (JL, RS, TZ), pp. 593–600.
ICML-2009-WallachMSM #evaluation #modelling #topic
Evaluation methods for topic models (HMW, IM, RS, DMM), pp. 1105–1112.
ICML-2008-SalakhutdinovM #analysis #network #on the
On the quantitative analysis of deep belief networks (RS, IM), pp. 872–879.
ICML-2008-SalakhutdinovM08a #markov #matrix #monte carlo #probability #using
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo (RS, AM), pp. 880–887.
ICML-2007-SalakhutdinovMH #collaboration #strict
Restricted Boltzmann machines for collaborative filtering (RS, AM, GEH), pp. 791–798.
ICML-2003-SalakhutdinovR #adaptation #bound #optimisation
Adaptive Overrelaxed Bound Optimization Methods (RS, STR), pp. 664–671.
ICML-2003-SalakhutdinovRG #optimisation
Optimization with EM and Expectation-Conjugate-Gradient (RS, STR, ZG), pp. 672–679.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.