[elliptic]

Anyone know of good papers relating to deep learning that are not from image classification or speech/text recognition?

[ninjin]

"Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank" by Socher et al. (2013) is a personal favourite of mine.

http://nlp.stanford.edu/~socherr/EMNLP2013_RNTN.pdf

"Linguistic Regularities in Continuous Space Word Representations" by Mikolov et al. (2013) is also a nice read.

http://research.microsoft.com/pubs/189726/rvecs.pdf

[Estragon]

"Playing Atari with Deep Reinforcement Learning"

http://www.cs.toronto.edu/~vmnih/docs/dqn.pdf