Travelled to:1 × Canada
1 × France
1 × United Kingdom
2 × USA
Collaborated with:J.Martens G.E.Hinton K.Swersky ∅ R.Józefowicz W.Zaremba G.E.Dahl D.Tarlow L.Charlin R.S.Zemel
Talks about:network (3) recurr (3) learn (3) hessian (2) neural (2) neighborhood (1) architectur (1) unsupervis (1) perceptron (1) supervis (1)
Person: Ilya Sutskever
DBLP: Sutskever:Ilya
Contributed to:
20152013201220112009Wrote 7 papers:
- ICML-2015-JozefowiczZS #architecture #empirical #network
- An Empirical Exploration of Recurrent Network Architectures (RJ, WZ, IS), pp. 2342–2350.
- ICML-c3-2013-SutskeverMDH #learning #on the
- On the importance of initialization and momentum in deep learning (IS, JM, GED, GEH), pp. 1139–1147.
- ICML-c3-2013-TarlowSCSZ #learning #probability
- Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning (DT, KS, LC, IS, RSZ), pp. 199–207.
- ICML-2012-MartensSS
- Estimating the Hessian by Back-propagating Curvature (JM, IS, KS), p. 126.
- ICML-2011-MartensS #learning #network #optimisation
- Learning Recurrent Neural Networks with Hessian-Free Optimization (JM, IS), pp. 1033–1040.
- ICML-2011-SutskeverMH #generative #network
- Generating Text with Recurrent Neural Networks (IS, JM, GEH), pp. 1017–1024.
- ICML-2009-Sutskever #analysis
- A simpler unified analysis of budget perceptrons (IS), pp. 985–992.