Travelled to:1 × China
1 × France
1 × United Kingdom
Collaborated with:R.Salakhutdinov R.S.Zemel J.Neufeld Y.Yu X.Zhang D.Schuurmans K.Xu J.Ba K.Cho A.C.Courville Y.Bengio J.Snoek O.Rippel K.Swersky N.Satish N.Sundaram M.M.A.Patwary Prabhat R.P.Adams
Talks about:neural (3) nonlinear (1) dimension (1) multimod (1) bayesian (1) scalabl (1) regular (1) network (1) languag (1) generat (1)
Person: Ryan Kiros
DBLP: Kiros:Ryan
Contributed to:
201520142012Wrote 4 papers:
- ICML-2015-SnoekRSKSSPPA #network #optimisation #scalability #using
- Scalable Bayesian Optimization Using Deep Neural Networks (JS, OR, KS, RK, NS, NS, MMAP, P, RPA), pp. 2171–2180.
- 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.
- ICML-2012-NeufeldYZKS #reduction
- Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations (JN, YY, XZ, RK, DS), p. 191.