Fetching the paper…
Reading the bibliography…
The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge.
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
K. Fukushima · 1980
Earlier work this paper cites.
Support vector networks
Corinna Cortes and Vladimir Vapnik · 1995
Earlier work this paper cites.
Object recognition from local scale invariant features
D. Lowe · 1999
Earlier work this paper cites.
Random forests
Leo Breiman · 2001
Earlier work this paper cites.
Labeling images with a computer game
Luis von Ahn and Laura Dabbish · 2004
Earlier work this paper cites.
Semi-supervised Learning by Entropy Minimization
Yves Grandvalet and Yoshua Bengio · 2005
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
Earlier work this paper cites.
The Toronto face dataset
Joshua Susskind, Adam Anderson, and Geoffrey E. Hinton · 2010
Cited alongside, same era.
Unsupervised and transfer learning challenge
Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham Taylor, and David W. Aha · 2011
Cited alongside, same era.
Reading digits in natural images with unsupervised feature learning
Y. Netzer, T. Wang, A. Coates, A. Bissacco, B. Wu, and A. Y. Ng · 2011
Cited alongside, same era.
Sparse filtering
Jiquan Ngiam, Pang Wei W. Koh, Zhenghao Chen, Sonia A. Bhaskar, and Andrew Y. Ng · 2011
Cited alongside, same era.
NIPS Workshop on Challenges in Learning Hierarchical Models: Transfer Learning and Optimization , 2011
Quoc V. Le, Marc’Aurelio Ranzato, Ruslan Salakhutdinov, Andrew Ng, and Josh Tenenbaum · 2011
Cited alongside, same era.
Unsupervised feature learning and deep learning: A review and new perspectives
A deep learning approach with an ensemble-based neural network classifier for black box icml 2013 contest
Lukasz Romaszko · 2013
Closest in time.
Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks
Dong-Hyun Lee · 2013
Closest in time.
Maxout networks
Ian J. Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, and Yoshua Bengio · 2013
Closest in time.
Hyperparameter optimization and boosting for classifying facial expressions: How good can a “null” model be?
James Bergstra and David D. Cox · 2013
Closest in time.
Deep learning using linear support vector machines
Yichuan Tang · 2013
Closest in time.
Local learning to improve bag of visual words model for facial expression recognition
Radu Tudor Ionescu, Marius Popescu, and Cristian Grozea · 2013
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2012
Cited alongside, same era.
Large-scale feature learning with spike-and-slab sparse coding
Ian Goodfellow, Aaron Courville, and Yoshua Bengio · 2012
Cited alongside, same era.
Closest in time.
Constructing hierarchical image-tags bimodal representations for word tags alternative choice
Fangxiang Feng, Ruifan Li, and Xiaojie Wang · 2013
Closest in time.