Travelled to:1 × Austria
1 × France
1 × United Kingdom
3 × USA
Collaborated with:Y.Bengio I.J.Goodfellow J.Bergstra K.Cho A.Almahairi K.Kastner D.Warde-Farley M.Mirza H.Larochelle D.Erhan K.Xu J.Ba R.Kiros R.Salakhutdinov R.S.Zemel
Talks about:learn (2) slab (2) imag (2) architectur (1) unsupervis (1) represent (1) distribut (1) spikeand (1) collabor (1) problem (1)
Person: Aaron C. Courville
DBLP: Courville:Aaron_C=
Contributed to:
2015
20152013201220112007Wrote 6 papers:
- 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.
- RecSys-2015-AlmahairiKCC #collaboration #distributed #learning
- Learning Distributed Representations from Reviews for Collaborative Filtering (AA, KK, KC, ACC), pp. 147–154.
- ICML-c3-2013-GoodfellowWMCB #network
- Maxout Networks (IJG, DWF, MM, ACC, YB), pp. 1319–1327.
- ICML-2012-GoodfellowCB #learning #scalability
- Large-Scale Feature Learning With Spike-and-Slab Sparse Coding (IJG, ACC, YB), p. 180.
- ICML-2011-CourvilleBB #image #modelling
- Unsupervised Models of Images by Spikeand-Slab RBMs (ACC, JB, YB), pp. 1145–1152.
- ICML-2007-LarochelleECBB #architecture #empirical #evaluation #problem
- An empirical evaluation of deep architectures on problems with many factors of variation (HL, DE, ACC, JB, YB), pp. 473–480.