Travelled to:
1 × China
1 × Finland
1 × Japan
2 × USA
Collaborated with:
A.Y.Ng T.Wang D.J.Wu P.Abbeel J.Z.Kolter Y.Gu C.DuHadway B.Huval B.C.Catanzaro Q.V.Le J.Ngiam A.Lahiri B.Prochnow B.Carpenter C.Case S.Satheesh B.Suresh
Talks about:
learn (5) recognit (2) text (2) deep (2) end (2) unsupervis (1) trajectori (1) demonstr (1) convolut (1) quantiz (1)
Person: Adam Coates
DBLP: Coates:Adam
Contributed to:
Wrote 7 papers:
- ICML-c3-2013-CoatesHWWCN #learning #off the shelf
- Deep learning with COTS HPC systems (AC, BH, TW, DJW, BCC, AYN), pp. 1337–1345.
- ICPR-2012-WangWCN #network #recognition
- End-to-end text recognition with convolutional neural networks (TW, DJW, AC, AYN), pp. 3304–3308.
- ICDAR-2011-CoatesCCSSWWN #detection #image #learning #recognition
- Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning (AC, BC, CC, SS, BS, TW, DJW, AYN), pp. 440–445.
- ICML-2011-CoatesN #encoding
- The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization (AC, AYN), pp. 921–928.
- ICML-2011-LeNCLPN #learning #on the #optimisation
- On optimization methods for deep learning (QVL, JN, AC, AL, BP, AYN), pp. 265–272.
- ICML-2008-CoatesAN #learning #multi
- Learning for control from multiple demonstrations (AC, PA, AYN), pp. 144–151.
- ICML-2008-KolterCNGD #learning #programming
- Space-indexed dynamic programming: learning to follow trajectories (JZK, AC, AYN, YG, CD), pp. 488–495.