|  | Geoffrey E. Hinton
| Department of Computer Science 
 |  | email: geoffrey [dot] hinton [at]
gmail [dot] com |  | University of Toronto |  | voice: send email |  
| 6 King's College Rd. |  | fax: scan and send email |  
| Toronto, Ontario |  |  |  |  |  
Information for prospective students, postdocs and visitors:I will not be taking any more students, postdocs or visitors.
 
 
Basic papers on deep learning
 
LeCun, Y., Bengio, Y. and Hinton, G. E. (2015)Deep Learning
 Nature, Vol. 521, pp 436-444.
[pdf]
 
 
 
Hinton, G. E., Osindero, S. and Teh, Y. (2006)A fast learning algorithm for deep belief nets.
 Neural Computation, 18, pp 1527-1554. 
[pdf]
 Movies of the neural network generating and recognizing digits
 
 
Hinton, G. E. and Salakhutdinov, R. R. (2006)Reducing the dimensionality of data with neural networks.
 Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.
 [
full paper ]
[
supporting online material (pdf) ]
[
Matlab code ]
 
 
Recent Papers
 
Hinton, G. E. (2022)The Forward-Forward Algorithm: Some Preliminary
Investigations
 arXiv:2212.13345
 [pdf of final version]
 [ffcode.zip matlab code for the supervised version of FF
with the first 10 pixels being the labels]
 [load mnistdata.mat in matlab to create the data]
 [README.txt explains what to do to run
FF}
 Sindy Loewe's translation to python code is available at
https://github.com/loeweX/Forward-Forward
 
 Chen, T., Zhang, R., & Hinton, G. (2022)
 Analog bits: Generating discrete data using diffusion models with
self-conditioning
 arXiv preprint arXiv:2208.04202
[pdf]
 
 Ren, M., Kornblith, S., Liao, R., & Hinton, G. (2022)
 Scaling Forward Gradient With Local Losses
 arXiv preprint arXiv:2210.03310
[pdf]
 
 Chen, T., Saxena, S., Li, L., Lin, T. Y., Fleet, D. J., & Hinton, G. (2022)
 A unified sequence interface for vision tasks
 arXiv preprint arXiv:2206.07669
[pdf]
 
 Chen, T., Li, L., Saxena, S., Hinton, G., & Fleet, D. J.(2022)
 A generalist framework for panoptic segmentation of images and
videos
 arXiv preprint arXiv:2210.06366
[pdf]
 
 Liao, R., Kornblith, S., Ren, M., Fleet, D. J., & Hinton, G. (2022)
 Gaussian-Bernoulli RBMs Without Tears
 arXiv preprint arXiv:2210.10318
[pdf]
 
 Culp, L., Sabour, S., & Hinton, G. E. (2022)
 Testing GLOM's ability to infer wholes from ambiguous parts
 arXiv preprint arXiv: 2211.16564
[pdf]
 
 Agarwal, R., Melnick, L., Frosst, N., Zhang, X., Lengerich, B.,
Caruana, R., & Hinton, G. E. (2021)
 Neural additive models:Interpretable machine learning with neural nets
 Advances in Neural Information Processing Systems, 34, 4699-4711.
[pdf]
 
 Bengio, Y., Lecun, Y., & Hinton, G. (2021)
 Deep learning for AI
 Communications of the ACM, 64(7), 58-65.
[pdf]
 
 
 
2021 commencement address at IIT Mumbai     
 
 
 Joseph Turian's map of 2500 English words produced by using t-SNE on
 the word feature vectors learned by Collobert & Weston, ICML 2008
     
 
  
 
   Doing analogies by using vector algebra on word embeddings (in 2008)    
  
 
   My old favorite Gary Marcus quote     
  
 
   GPT-4 corrects Gary Marcus     
  
 
 
My new favorite Gary Marcus quote "It gloms on to different clusters of text. That is all."
 
   A new concept of healing from the people who design unimprovised
   explosive devices      
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