Geoffrey E. Hinton

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1976–2023

Best venue rank

Where they publish

Papers

89 indexed papers, newest first.

Year	Venue	Title	Authors
2023	ICCV	A Generalist Framework for Panoptic Segmentation of Images and Videos.	Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2023	ICLR	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.	Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2023	ICLR	Scaling Forward Gradient With Local Losses.	Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2022	EMNLP	Meta-Learning Fast Weight Language Models.	Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	ICLR	Pix2seq: A Language Modeling Framework for Object Detection.	Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2021	ICLR	Teaching with Commentaries.	Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2021	ICML	Unsupervised Part Representation by Flow Capsules.	Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2020	CVPR	CvxNet: Learnable Convex Decomposition.	Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2020	ECCV	NASA Neural Articulated Shape Approximation.	Boyang Deng, John P. Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey E. Hinton, Mohammad Norouzi, Andrea Tagliasacchi
2020	ICLR	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.	Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton
2020	ICML	Imputer: Sequence Modelling via Imputation and Dynamic Programming.	William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
2020	ICML	A Simple Framework for Contrastive Learning of Visual Representations.	Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	SIGIR	The Next Generation of Neural Networks.	Geoffrey E. Hinton
2019	ICML	Analyzing and Improving Representations with the Soft Nearest Neighbor Loss.	Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton
2019	ICML	Similarity of Neural Network Representations Revisited.	Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2018	AAAI	Who Said What: Modeling Individual Labelers Improves Classification.	Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton
2018	ACL	Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search.	Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton
2018	ICLR	Large scale distributed neural network training through online distillation.	Rohan Anil, Gabriel Pereyra, Alexandre Passos, Rbert Ormndi, George E. Dahl, Geoffrey E. Hinton
2018	ICLR	Matrix capsules with EM routing.	Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst
2017	ICLR	Regularizing Neural Networks by Penalizing Confident Output Distributions.	Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton
2017	ICLR	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.	Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
2014	Interspeech	Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.	Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton
2013	ICASSP	Improving deep neural networks for LVCSR using rectified linear units and dropout.	George E. Dahl, Tara N. Sainath, Geoffrey E. Hinton
2013	ICASSP	New types of deep neural network learning for speech recognition and related applications: an overview.	Li Deng, Geoffrey E. Hinton, Brian Kingsbury
2013	ICASSP	Speech recognition with deep recurrent neural networks.	Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton
2013	ICASSP	On rectified linear units for speech processing.	Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton
2013	ICML	On the importance of initialization and momentum in deep learning.	Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton
2013	ICML	Tensor Analyzers.	Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2013	Interspeech	Using an autoencoder with deformable templates to discover features for automated speech recognition.	Navdeep Jaitly, Geoffrey E. Hinton
2013	UAI	Modeling Documents with Deep Boltzmann Machines.	Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	CVPR	Robust Boltzmann Machines for recognition and denoising.	Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	ICASSP	Understanding how Deep Belief Networks perform acoustic modelling.	Abdel-rahman Mohamed, Geoffrey E. Hinton, Gerald Penn
2012	ICML	Learning to Label Aerial Images from Noisy Data.	Volodymyr Mnih, Geoffrey E. Hinton
2012	ICML	Deep Mixtures of Factor Analysers.	Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	ICML	Deep Lambertian Networks.	Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2011	CVPR	On deep generative models with applications to recognition.	Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton
2011	CVPR	Modeling the joint density of two images under a variety of transformations.	Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys
2011	ESANN	Using very deep autoencoders for content-based image retrieval.	Alex Krizhevsky, Geoffrey E. Hinton
2011	ICANN	Transforming Auto-Encoders.	Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
2011	ICASSP	Learning a better representation of speech soundwaves using restricted boltzmann machines.	Navdeep Jaitly, Geoffrey E. Hinton
2011	ICASSP	Deep Belief Networks using discriminative features for phone recognition.	Abdel-rahman Mohamed, Tara N. Sainath, George E. Dahl, Bhuvana Ramabhadran, Geoffrey E. Hinton, Michael A. Picheny
2011	ICASSP	Deep belief nets for natural language call-routing.	Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabhadran
2011	ICML	Generating Text with Recurrent Neural Networks.	Ilya Sutskever, James Martens, Geoffrey E. Hinton
2011	UAI	Conditional Restricted Boltzmann Machines for Structured Output Prediction.	Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
2010	CVPR	Modeling pixel means and covariances using factorized third-order boltzmann machines.	Marc'Aurelio Ranzato, Geoffrey E. Hinton
2010	CVPR	Dynamical binary latent variable models for 3D human pose tracking.	Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton
2010	ECCV	Learning to Detect Roads in High-Resolution Aerial Images.	Volodymyr Mnih, Geoffrey E. Hinton
2010	ICASSP	Phone recognition using Restricted Boltzmann Machines.	Abdel-rahman Mohamed, Geoffrey E. Hinton
2010	ICML	Rectified Linear Units Improve Restricted Boltzmann Machines.	Vinod Nair, Geoffrey E. Hinton
2010	Interspeech	Binary coding of speech spectrograms using a deep auto-encoder.	Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton
2009	BMVC	Learning Generative Texture Models with extended Fields-of-Experts.	Nicolas Heess, Christopher K. I. Williams, Geoffrey E. Hinton
2009	ESANN	Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.	Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton
2009	ICML	Factored conditional restricted Boltzmann Machines for modeling motion style.	Graham W. Taylor, Geoffrey E. Hinton
2009	ICML	Using fast weights to improve persistent contrastive divergence.	Tijmen Tieleman, Geoffrey E. Hinton
2009	ICML	Workshop summary: Workshop on learning feature hierarchies.	Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio
2009	UAI	Products of Hidden Markov Models: It Takes N>1 to Tango.	Graham W. Taylor, Geoffrey E. Hinton
2008	ESANN	Improving a statistical language model by modulating the effects of context words.	Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
2008	ICANN	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes.	Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton
2007	CVPR	Unsupervised Learning of Image Transformations.	Roland Memisevic, Geoffrey E. Hinton
2007	ICML	Three new graphical models for statistical language modelling.	Andriy Mnih, Geoffrey E. Hinton
2007	ICML	Restricted Boltzmann machines for collaborative filtering.	Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton
2005	AISTATS	On Contrastive Divergence Learning.	Miguel . Carreira-Perpin, Geoffrey E. Hinton
2005	AISTATS	Learning Causally Linked Markov Random Fields.	Geoffrey E. Hinton, Simon Osindero, Kejie Bao
2005	IJCAI	What kind of graphical model is the brain?	Geoffrey E. Hinton
2005	IJCNN	Embedding via clustering: using spectral information to guide dimensionality reduction.	Roland Memisevic, Geoffrey E. Hinton
2005	IJCNN	Learning nonlinear constraints with contrastive backpropagation.	Andriy Mnih, Geoffrey E. Hinton
2004	ICFHR	Distinguishing text from graphics in on-line handwritten ink.	Christopher M. Bishop, Markus Svensn, Geoffrey E. Hinton
2003	UAI	Efficient Parametric Projection Pursuit Density Estimation.	Max Welling, Richard S. Zemel, Geoffrey E. Hinton
2002	ICANN	A New Learning Algorithm for Mean Field Boltzmann Machines.	Max Welling, Geoffrey E. Hinton
2001	AISTATS	Products of Hidden Markov Models.	Andrew D. Brown, Geoffrey E. Hinton
2001	UAI	Discovering Multiple Constraints that are Frequently Approximately Satisfied.	Geoffrey E. Hinton, Yee Whye Teh
2000	AAAI	Modeling High-Dimensional Data by Combining Simple Experts.	Geoffrey E. Hinton
2000	ICML	Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.	Alberto Paccanaro, Geoffrey E. Hinton
2000	IJCNN	Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions.	Alberto Paccanaro, Geoffrey E. Hinton
1998	SIGGRAPH	NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models.	Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
1997	SIGGRAPH	Learning fast neural network emulators for physics-based models.	Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
1996	DCC	Free Energy Coding.	Brendan J. Frey, Geoffrey E. Hinton
1995	CHI	GloveTalkII: An Adaptive Gesture-to-Formant Interface.	Sidney S. Fels, Geoffrey E. Hinton
1993	COLT	Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights.	Geoffrey E. Hinton, Drew van Camp
1990	Interact	Building adaptive interfaces with neural networks: The glove-talk pilot study.	Sidney S. Fels, Geoffrey E. Hinton
1988	ICASSP	Phoneme recognition: neural networks vs. hidden Markov models.	Alex Waibel, Toshiyuki Hanazawa, Geoffrey E. Hinton, Kiyohiro Shikano, Kevin J. Lang
1986	AAAI	Learning in Massively Parallel Nets (Panel).	Drew V. McDermott, Geoffrey E. Hinton
1985	IJCAI	Shape Recognition and Illusory Conjunctions.	Geoffrey E. Hinton, Kevin J. Lang
1985	IJCAI	Symbols Among the Neurons: Details of a Connectionist Inference Architecture.	David S. Touretzky, Geoffrey E. Hinton
1983	AAAI	Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines.	Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski
1981	IJCAI	Shape Representation in Parallel Systems.	Geoffrey E. Hinton
1981	IJCAI	A Parallel Computation that Assigns Canonical Object-Based Frames of Reference.	Geoffrey E. Hinton
1978	ECAI	Representation and Control in Vision.	Aaron Sloman, David Owen, Geoffrey E. Hinton, Frank Birch, Frank O'Gorman
1976	ECAI	Using Relaxation to find a Puppet.	Geoffrey E. Hinton