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Humans view the world through many sensory channels, e.g., the long-wavelength light channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right ear.
Two visual systems
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Avrim Blum and Tom Mitchell · 1998
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Independent component analysis
Aapo Hyvärinen, Juha Karhunen, and Erkki Oja · 2004
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Sensory modality segregation
Virginia Sa · 2004
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The development of embodied cognition: Six lessons from babies
Linda Smith and Michael Gasser · 2005
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Reducing the dimensionality of data with neural networks
Geoffrey E Hinton and Ruslan R Salakhutdinov · 2006
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A duality based approach for realtime tv-l 1 optical flow
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Corinna Cortes, Mehryar Mohri, and Afshin Rostamizadeh · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Deep learning from temporal coherence in video
Hossein Mobahi, Ronan Collobert, and Jason Weston · 2009
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Ruslan Salakhutdinov and Geoffrey Hinton · 2009
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen · 2010
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An analysis of single-layer networks in unsupervised feature learning
Adam Coates, Andrew Ng, and Honglak Lee · 2011
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Principal component analysis
Ian Jolliffe · 2011
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Similarity learning for provably accurate sparse linear classification
Aurélien Bellet, Amaury Habrard, and Marc Sebban · 2012
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How prediction errors shape perception, attention, and motivation
Hanneke EM Den Ouden, Peter Kok, and Floris P De Lange · 2012
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The goldilocks effect: Human infants allocate attention to visual sequences that are neither too simple nor too complex
Celeste Kidd, Steven T Piantadosi, and Richard N Aslin · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
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Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
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The predictive mind
Jakob Hohwy · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih and Koray Kavukcuoglu · 2013
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A survey on multi-view learning
Chang Xu, Dacheng Tao, and Chao Xu · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Unsupervised visual representation learning by context prediction
Carl Doersch, Abhinav Gupta, and Alexei A Efros · 2015
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Learning visual groups from co-occurrences in space and time
Phillip Isola, Daniel Zoran, Dilip Krishnan, and Edward H Adelson · 2015
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Data-dependent initializations of convolutional neural networks
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, and Trevor Darrell · 2015
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A survey of multi-view representation learning
Yingming Li, Ming Yang, and Zhongfei Mark Zhang · 2018
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Formal limitations on the measurement of mutual information
David McAllester and Karl Statos · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Cross and learn: Cross-modal self-supervision
Nawid Sayed, Biagio Brattoli, and Björn Ommer · 2018
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Time-contrastive networks: Self-supervised learning from video
Pierre Sermanet, Corey Lynch, Yevgen Chebotar, Jasmine Hsu, Eric Jang, Stefan Schaal, Sergey Levine, and Google Brain · 2018
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Shuffle and learn: unsupervised learning using temporal order verification
Ishan Misra, C Lawrence Zitnick, and Martial Hebert · 2016
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Andrew Owens, Phillip Isola, Josh McDermott, Antonio Torralba, Edward H Adelson, and William T Freeman · 2016
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Unsupervised feature learning via non-parametric instance discrimination
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