BIOGRAPHICAL INFORMATION
......Curriculum Vitae .pdf
......Biographical sketch
......Brief Bio
......Photographs
 
PUBLICATIONS
......Publications by year
......Slides of public talks
 
MEDIA INTERVIEWS
.... CBS 60 Minutes, Sept 2023
.... Interview at Collision Conference, Toronto, June 2023
.... CNN Amanpour and Company, May 2023
.... PBS, May 2023
.... BBC News, May 2023
.... CNN Jake Tapper, May 2023
.... CBC The National, May 2023
.... CBS Morning News, March 2023
.... Interview on CBC radio "The Current", May 5 2015
 
VIDEO LECTURES
....YouTube (Feb 2024) The Romanes Lecture (40mins)
....YouTube (Dec 2023) The Arthur Miller Lecture on Science and Ethics (1.13hr)
....YouTube (May 2023) Two Paths to Intlligence (1hr)
....YouTube (2012) Brains, Sex and Machine Learning (1hr)
....YouTube (2007) The Next Generation of Neural Networks (1hr)
....YouTube (2010) Recent Developments in Deep Learning (1hr)
 
TUTORIALS
....Tutorial (2009) Deep Belief Nets (3hrs) ppt pdf readings
....Workshop Talk (2007) How to do backpropagation in a brain (20mins) ppt2007 pdf2007 ppt2014 pdf2014
 
2012 COURSERA COURSE LECTURES:
Neural Networks for Machine Learning
....Lectures(.mp4)
....Lecture Slides(.pptx or .pdf))
 
OLD UNIVERSITY OF TORONTO COURSES
....csc321 Spring 2013(undergrad)
....csc2535 Spring 2013(graduate)
 
OLD TUTORIAL SLIDES
....2011 NIPS workshop talk pdf ppt
........paper on Transforming Autoencoders
....2007 NIPS tutorial html ppt ps pdf
........Readings: 2007 NIPS tutorial
....CIFAR Summer School 2007
....CIAR Summer School 2006
....CIFAR Summer School 2005
....List of Past Tutorials
 
MOVIES
....generating digits
....speaking with a glove (Sidney Fels)
 
MATLAB CODE
.... Matlab for Science paper
....t-SNE software
....trajectory from motor program
....ink from trajectory
....introduction to python
 
SUPERVISION
....Current PhD and Master's Students
....Former PhD Students
....Former Master's Students
....PostDocs
 
MACHINE LEARNING AT TORONTO
....learning.cs.toronto.edu
 
HOME PAGE (top level)
....www.cs.toronto.edu/~hinton
 


Geoffrey Hinton's former master's students
(with year of graduation and thesis title)
Many of my PhD students did a Masters degree with me before their PhD. They are not included here.



Michelle Wahl Craig (1991)
Lossless Image Compression Using Connectionist Networks

Lisa White (1995)
Temporal difference learning: Eligibilty traces and the successor representation for actions.

Ava ChiKwan To (1996)
The Helmholtz Machine Through Time.

Josh McDermott (2001)
Junction Detection: Computation and Psychophysics

Marco Buiatti (2001)
Adaptation of the Visual System to the Temporal Statistics of Natural Images

Nina Thiessen (2004)
Connection Maps: A new way to visualize similarity relationships.
(available at Nina'a website)

Renqiang Min (2005)
A non-linear dimensionality reduction method for improving nearest neighbour classification