Geoffrey E. Hinton

300 papers A* 50A 17B 8C 1Misc 10Journal 126Unranked 79

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report. CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2023	A*	`conf`	A Generalist Framework for Panoptic Segmentation of Images and Videos. ICCV Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2023	A*	`conf`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2023	J	`jnl`	How to Represent Part-Whole Hierarchies in a Neural Network. Neural Comput. Geoffrey E. Hinton
2023	J	`jnl`	Managing AI Risks in an Era of Rapid Progress. CoRR Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
2023	A*	`conf`	Scaling Forward Gradient With Local Losses. ICLR Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2022	J	`jnl`	A Generalist Framework for Panoptic Segmentation of Images and Videos. CoRR Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet
2022	A*	`conf`	A Unified Sequence Interface for Vision Tasks. NeurIPS Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	A Unified Sequence Interface for Vision Tasks. CoRR Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2022	J	`jnl`	Gaussian-Bernoulli RBMs Without Tears. CoRR Renjie Liao, Simon Kornblith, Mengye Ren, David J. Fleet, Geoffrey E. Hinton
2022	A*	`conf`	Meta-Learning Fast Weight Language Models. EMNLP Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	J	`jnl`	Meta-Learning Fast Weight Language Models. CoRR Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	A*	`conf`	Pix2seq: A Language Modeling Framework for Object Detection. ICLR Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2022	J	`jnl`	Robust and Efficient Medical Imaging with Self-Supervision. CoRR Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan
2022	J	`jnl`	Scaling Forward Gradient With Local Losses. CoRR Mengye Ren, Simon Kornblith, Renjie Liao, Geoffrey E. Hinton
2022	J	`jnl`	Testing GLOM's ability to infer wholes from ambiguous parts. CoRR Laura Culp, Sara Sabour, Geoffrey E. Hinton
2022	J	`jnl`	The Forward-Forward Algorithm: Some Preliminary Investigations. CoRR Geoffrey E. Hinton
2021	A*	`conf`	Canonical Capsules: Self-Supervised Capsules in Canonical Pose. NeurIPS Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2021	J	`jnl`	Deep learning for AI. Commun. ACM Yoshua Bengio, Yann LeCun, Geoffrey E. Hinton
2021	J	`jnl`	How to represent part-whole hierarchies in a neural network. CoRR Geoffrey E. Hinton
2021	A*	`conf`	Neural Additive Models: Interpretable Machine Learning with Neural Nets. NeurIPS Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Benjamin J. Lengerich, Rich Caruana, Geoffrey E. Hinton
2021	J	`jnl`	Pix2seq: A Language Modeling Framework for Object Detection. CoRR Ting Chen, Saurabh Saxena, Lala Li, David J. Fleet, Geoffrey E. Hinton
2021	A*	`conf`	Teaching with Commentaries. ICLR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2021	A*	`conf`	Unsupervised Part Representation by Flow Capsules. ICML Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2020	A*	`conf`	A Simple Framework for Contrastive Learning of Visual Representations. ICML Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	A Simple Framework for Contrastive Learning of Visual Representations. CoRR Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton
2020	A*	`conf`	Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	Big Self-Supervised Models are Strong Semi-Supervised Learners. CoRR Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton
2020	J	`jnl`	Canonical Capsules: Unsupervised Capsules in Canonical Pose. CoRR Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi
2020	A*	`conf`	CvxNet: Learnable Convex Decomposition. CVPR Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2020	J	`jnl`	Deflecting Adversarial Attacks. CoRR Yao Qin, Nicholas Frosst, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton
2020	A*	`conf`	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. ICLR Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton
2020	A*	`conf`	Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
2020	J	`jnl`	Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
2020	—	`conf`	NASA Neural Articulated Shape Approximation. ECCV (7) Boyang Deng, John P. Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey E. Hinton, Mohammad Norouzi, Andrea Tagliasacchi
2020	J	`jnl`	Neural Additive Models: Interpretable Machine Learning with Neural Nets. CoRR Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton
2020	J	`jnl`	Subclass Distillation. CoRR Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2020	J	`jnl`	Teaching with Commentaries. CoRR Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey E. Hinton
2020	A*	`conf`	The Next Generation of Neural Networks. SIGIR Geoffrey E. Hinton
2020	J	`jnl`	Unsupervised part representation by Flow Capsules. CoRR Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet
2019	A*	`conf`	Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. ICML Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton
2019	J	`jnl`	Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. CoRR Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton
2019	J	`jnl`	Cerberus: A Multi-headed Derenderer. CoRR Boyang Deng, Simon Kornblith, Geoffrey E. Hinton
2019	J	`jnl`	CvxNets: Learnable Convex Decomposition. CoRR Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
2019	J	`jnl`	Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. CoRR Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton
2019	J	`jnl`	Learning Sparse Networks Using Targeted Dropout. CoRR Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton
2019	A*	`conf`	Lookahead Optimizer: k steps forward, 1 step back. NeurIPS Michael R. Zhang, James Lucas, Jimmy Ba, Geoffrey E. Hinton
2019	J	`jnl`	Lookahead Optimizer: k steps forward, 1 step back. CoRR Michael R. Zhang, James Lucas, Geoffrey E. Hinton, Jimmy Ba
2019	J	`jnl`	NASA: Neural Articulated Shape Approximation. CoRR Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, John P. Lewis, Geoffrey E. Hinton, Andrea Tagliasacchi
2019	A*	`conf`	Similarity of Neural Network Representations Revisited. ICML Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2019	J	`jnl`	Similarity of Neural Network Representations Revisited. CoRR Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey E. Hinton
2019	A*	`conf`	Stacked Capsule Autoencoders. NeurIPS Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
2019	J	`jnl`	Stacked Capsule Autoencoders. CoRR Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton
2019	J	`jnl`	When Does Label Smoothing Help? CoRR Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2019	A*	`conf`	When does label smoothing help? NeurIPS Rafael Müller, Simon Kornblith, Geoffrey E. Hinton
2018	A*	`conf`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. NeurIPS Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	J	`jnl`	Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures. CoRR Sergey Bartunov, Adam Santoro, Blake A. Richards, Geoffrey E. Hinton, Timothy P. Lillicrap
2018	J	`jnl`	DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules. CoRR Nicholas Frosst, Sara Sabour, Geoffrey E. Hinton
2018	—	`conf`	Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search. ACL (1) Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton
2018	—	`conf`	Large scale distributed neural network training through online distillation. ICLR (Poster) Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton
2018	J	`jnl`	Large scale distributed neural network training through online distillation. CoRR Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton
2018	—	`conf`	Matrix capsules with EM routing. ICLR (Poster) Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst
2018	A*	`conf`	Who Said What: Modeling Individual Labelers Improves Classification. AAAI Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton
2017	—	`ch.`	Boltzmann Machines. Encyclopedia of Machine Learning and Data Mining Geoffrey E. Hinton
2017	—	`ch.`	Deep Belief Nets. Encyclopedia of Machine Learning and Data Mining Geoffrey E. Hinton
2017	—	`conf`	Distilling a Neural Network Into a Soft Decision Tree. CEx@AI*IA Nicholas Frosst, Geoffrey E. Hinton
2017	J	`jnl`	Distilling a Neural Network Into a Soft Decision Tree. CoRR Nicholas Frosst, Geoffrey E. Hinton
2017	—	`conf`	Dynamic Routing Between Capsules. NIPS Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton
2017	J	`jnl`	Dynamic Routing Between Capsules. CoRR Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton
2017	J	`jnl`	ImageNet classification with deep convolutional neural networks. Commun. ACM Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
2017	—	`conf`	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. ICLR (Poster) Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
2017	J	`jnl`	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. CoRR Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc V. Le, Geoffrey E. Hinton, Jeff Dean
2017	—	`conf`	Regularizing Neural Networks by Penalizing Confident Output Distributions. ICLR (Workshop) Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton
2017	J	`jnl`	Regularizing Neural Networks by Penalizing Confident Output Distributions. CoRR Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton
2017	J	`jnl`	Who Said What: Modeling Individual Labelers Improves Classification. CoRR Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton
2016	—	`conf`	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. NIPS S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, David Szepesvari, Koray Kavukcuoglu, Geoffrey E. Hinton
2016	J	`jnl`	Attend, Infer, Repeat: Fast Scene Understanding with Generative Models. CoRR S. M. Ali Eslami, Nicolas Heess, Theophane Weber, Yuval Tassa, Koray Kavukcuoglu, Geoffrey E. Hinton
2016	J	`jnl`	Layer Normalization. CoRR Lei Jimmy Ba, Jamie Ryan Kiros, Geoffrey E. Hinton
2016	—	`conf`	Using Fast Weights to Attend to the Recent Past. NIPS Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
2016	J	`jnl`	Using Fast Weights to Attend to the Recent Past. CoRR Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih, Joel Z. Leibo, Catalin Ionescu
2015	J	`jnl`	A Simple Way to Initialize Recurrent Networks of Rectified Linear Units. CoRR Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton
2015	J	`jnl`	Deep learning. Nat. Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton
2015	J	`jnl`	Distilling the Knowledge in a Neural Network. CoRR Geoffrey E. Hinton, Oriol Vinyals, Jeffrey Dean
2015	—	`conf`	Grammar as a Foreign Language. NIPS Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton
2015	J	`jnl`	Guest Editorial: Deep Learning. Int. J. Comput. Vis. Marc'Aurelio Ranzato, Geoffrey E. Hinton, Yann LeCun
2014	J	`jnl`	Application of Deep Belief Networks for Natural Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. Ruhi Sarikaya, Geoffrey E. Hinton, Anoop Deoras
2014	A	`conf`	Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models. INTERSPEECH Navdeep Jaitly, Vincent Vanhoucke, Geoffrey E. Hinton
2014	J	`jnl`	Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
2014	J	`jnl`	Grammar as a Foreign Language. CoRR Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton
2014	J	`jnl`	Where Do Features Come From? Cogn. Sci. Geoffrey E. Hinton
2013	J	`jnl`	Discovering Multiple Constraints that are Frequently Approximately Satisfied CoRR Geoffrey E. Hinton, Yee Whye Teh
2013	Misc	`conf`	Improving deep neural networks for LVCSR using rectified linear units and dropout. ICASSP George E. Dahl, Tara N. Sainath, Geoffrey E. Hinton
2013	A	`conf`	Modeling Documents with Deep Boltzmann Machines. UAI Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
2013	J	`jnl`	Modeling Documents with Deep Boltzmann Machines. CoRR Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
2013	J	`jnl`	Modeling Natural Images Using Gated MRFs. IEEE Trans. Pattern Anal. Mach. Intell. Marc'Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton
2013	Misc	`conf`	New types of deep neural network learning for speech recognition and related applications: an overview. ICASSP Li Deng, Geoffrey E. Hinton, Brian Kingsbury
2013	Misc	`conf`	On rectified linear units for speech processing. ICASSP 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	—	`conf`	On the importance of initialization and momentum in deep learning. ICML (3) Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton
2013	J	`jnl`	Speech Recognition with Deep Recurrent Neural Networks CoRR Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton
2013	Misc	`conf`	Speech recognition with deep recurrent neural networks. ICASSP Alex Graves, Abdel-rahman Mohamed, Geoffrey E. Hinton
2013	—	`conf`	Tensor Analyzers. ICML (3) Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2013	A	`conf`	Using an autoencoder with deformable templates to discover features for automated speech recognition. INTERSPEECH Navdeep Jaitly, Geoffrey E. Hinton
2012	—	`conf`	A Better Way to Pretrain Deep Boltzmann Machines. NIPS Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	—	`ch.`	A Practical Guide to Training Restricted Boltzmann Machines. Neural Networks: Tricks of the Trade (2nd ed.) Geoffrey E. Hinton
2012	J	`jnl`	Acoustic Modeling Using Deep Belief Networks. IEEE Trans. Speech Audio Process. Abdel-rahman Mohamed, George E. Dahl, Geoffrey E. Hinton
2012	J	`jnl`	An Efficient Learning Procedure for Deep Boltzmann Machines. Neural Comput. Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	J	`jnl`	Conditional Restricted Boltzmann Machines for Structured Output Prediction CoRR Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
2012	A*	`conf`	Deep Lambertian Networks. ICML Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	J	`jnl`	Deep Mixtures of Factor Analysers CoRR Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	A*	`conf`	Deep Mixtures of Factor Analysers. ICML Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	J	`jnl`	Efficient Parametric Projection Pursuit Density Estimation CoRR Max Welling, Richard S. Zemel, Geoffrey E. Hinton
2012	—	`conf`	ImageNet Classification with Deep Convolutional Neural Networks. NIPS Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
2012	J	`jnl`	Improving neural networks by preventing co-adaptation of feature detectors CoRR Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
2012	J	`jnl`	Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Trans. Speech Audio Process. Dong Yu, Geoffrey E. Hinton, Nelson Morgan, Jen-Tzung Chien, Shigeki Sagayama
2012	A*	`conf`	Learning to Label Aerial Images from Noisy Data. ICML Volodymyr Mnih, Geoffrey E. Hinton
2012	J	`jnl`	Products of Hidden Markov Models: It Takes N>1 to Tango CoRR Graham W. Taylor, Geoffrey E. Hinton
2012	A*	`conf`	Robust Boltzmann Machines for recognition and denoising. CVPR Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012	Misc	`conf`	Understanding how Deep Belief Networks perform acoustic modelling. ICASSP Abdel-rahman Mohamed, Geoffrey E. Hinton, Gerald Penn
2012	J	`jnl`	Visualizing non-metric similarities in multiple maps. Mach. Learn. Laurens van der Maaten, Geoffrey E. Hinton
2011	J	`jnl`	A better way to learn features: technical perspective. Commun. ACM Geoffrey E. Hinton
2011	A	`conf`	Conditional Restricted Boltzmann Machines for Structured Output Prediction. UAI Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
2011	Misc	`conf`	Deep Belief Networks using discriminative features for phone recognition. ICASSP Abdel-rahman Mohamed, Tara N. Sainath, George E. Dahl, Bhuvana Ramabhadran, Geoffrey E. Hinton, Michael A. Picheny
2011	Misc	`conf`	Deep belief nets for natural language call-routing. ICASSP Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabhadran
2011	J	`jnl`	Discovering Binary Codes for Documents by Learning Deep Generative Models. Top. Cogn. Sci. Geoffrey E. Hinton, Ruslan Salakhutdinov
2011	A*	`conf`	Generating Text with Recurrent Neural Networks. ICML Ilya Sutskever, James Martens, Geoffrey E. Hinton
2011	Misc	`conf`	Learning a better representation of speech soundwaves using restricted boltzmann machines. ICASSP Navdeep Jaitly, Geoffrey E. Hinton
2011	A*	`conf`	Modeling the joint density of two images under a variety of transformations. CVPR Joshua M. Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys
2011	A*	`conf`	On deep generative models with applications to recognition. CVPR Marc'Aurelio Ranzato, Joshua M. Susskind, Volodymyr Mnih, Geoffrey E. Hinton
2011	—	`conf`	Transforming Auto-Encoders. ICANN (1) Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang
2011	J	`jnl`	Two Distributed-State Models For Generating High-Dimensional Time Series. J. Mach. Learn. Res. Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
2011	B	`conf`	Using very deep autoencoders for content-based image retrieval. ESANN Alex Krizhevsky, Geoffrey E. Hinton
2010	A	`conf`	Binary coding of speech spectrograms using a deep auto-encoder. INTERSPEECH Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton
2010	—	`ch.`	Boltzmann Machines. Encyclopedia of Machine Learning Geoffrey E. Hinton
2010	J	`jnl`	Comparing Classification Methods for Longitudinal fMRI Studies. Neural Comput. Tanya Schmah, Grigori Yourganov, Richard S. Zemel, Geoffrey E. Hinton, Steven L. Small, Stephen C. Strother
2010	—	`ch.`	Deep Belief Nets. Encyclopedia of Machine Learning Geoffrey E. Hinton
2010	A*	`conf`	Dynamical binary latent variable models for 3D human pose tracking. CVPR Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton
2010	A	`conf`	Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. AISTATS Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E. Hinton
2010	—	`conf`	Gated Softmax Classification. NIPS Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys
2010	—	`conf`	Generating more realistic images using gated MRF's. NIPS Marc'Aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
2010	—	`conf`	Learning to Detect Roads in High-Resolution Aerial Images. ECCV (6) Volodymyr Mnih, Geoffrey E. Hinton
2010	J	`jnl`	Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines. Neural Comput. Roland Memisevic, Geoffrey E. Hinton
2010	—	`conf`	Learning to combine foveal glimpses with a third-order Boltzmann machine. NIPS Hugo Larochelle, Geoffrey E. Hinton
2010	A*	`conf`	Modeling pixel means and covariances using factorized third-order boltzmann machines. CVPR Marc'Aurelio Ranzato, Geoffrey E. Hinton
2010	—	`conf`	Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine. NIPS George E. Dahl, Marc'Aurelio Ranzato, Abdel-rahman Mohamed, Geoffrey E. Hinton
2010	Misc	`conf`	Phone recognition using Restricted Boltzmann Machines. ICASSP Abdel-rahman Mohamed, Geoffrey E. Hinton
2010	A*	`conf`	Rectified Linear Units Improve Restricted Boltzmann Machines. ICML Vinod Nair, Geoffrey E. Hinton
2010	J	`jnl`	Temporal-Kernel Recurrent Neural Networks. Neural Networks Ilya Sutskever, Geoffrey E. Hinton
2009	—	`conf`	3D Object Recognition with Deep Belief Nets. NIPS Vinod Nair, Geoffrey E. Hinton
2009	A	`conf`	Deep Boltzmann Machines. AISTATS Ruslan Salakhutdinov, Geoffrey E. Hinton
2009	J	`jnl`	Deep belief networks. Scholarpedia Geoffrey E. Hinton
2009	A*	`conf`	Factored conditional restricted Boltzmann Machines for modeling motion style. ICML Graham W. Taylor, Geoffrey E. Hinton
2009	J	`jnl`	Improving a statistical language model through non-linear prediction. Neurocomputing Andriy Mnih, Zhang Yuecheng, Geoffrey E. Hinton
2009	A	`conf`	Learning Generative Texture Models with extended Fields-of-Experts. BMVC Nicolas Heess, Christopher K. I. Williams, Geoffrey E. Hinton
2009	B	`conf`	Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine. ESANN Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton
2009	A	`conf`	Products of Hidden Markov Models: It Takes N>1 to Tango. UAI Graham W. Taylor, Geoffrey E. Hinton
2009	—	`conf`	Replicated Softmax: an Undirected Topic Model. NIPS Ruslan Salakhutdinov, Geoffrey E. Hinton
2009	J	`jnl`	Semantic hashing. Int. J. Approx. Reason. Ruslan Salakhutdinov, Geoffrey E. Hinton
2009	A*	`conf`	Using fast weights to improve persistent contrastive divergence. ICML Tijmen Tieleman, Geoffrey E. Hinton
2009	A*	`conf`	Workshop summary: Workshop on learning feature hierarchies. ICML Kai Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio
2009	—	`conf`	Zero-shot Learning with Semantic Output Codes. NIPS Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell
2008	—	`conf`	A Scalable Hierarchical Distributed Language Model. NIPS Andriy Mnih, Geoffrey E. Hinton
2008	—	`conf`	Analysis-by-Synthesis by Learning to Invert Generative Black Boxes. ICANN (1) Vinod Nair, Joshua M. Susskind, Geoffrey E. Hinton
2008	J	`jnl`	Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. Neural Comput. Ilya Sutskever, Geoffrey E. Hinton
2008	—	`conf`	Generative versus discriminative training of RBMs for classification of fMRI images. NIPS Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel, Steven L. Small, Stephen C. Strother
2008	—	`conf`	Implicit Mixtures of Restricted Boltzmann Machines. NIPS Vinod Nair, Geoffrey E. Hinton
2008	B	`conf`	Improving a statistical language model by modulating the effects of context words. ESANN Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
2008	—	`conf`	The Recurrent Temporal Restricted Boltzmann Machine. NIPS Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor
2008	—	`conf`	Using matrices to model symbolic relationship. NIPS Ilya Sutskever, Geoffrey E. Hinton
2007	J	`jnl`	Boltzmann machine. Scholarpedia Geoffrey E. Hinton
2007	A	`conf`	Learning Multilevel Distributed Representations for High-Dimensional Sequences. AISTATS Ilya Sutskever, Geoffrey E. Hinton
2007	A	`conf`	Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure. AISTATS Ruslan Salakhutdinov, Geoffrey E. Hinton
2007	—	`conf`	Modeling image patches with a directed hierarchy of Markov random fields. NIPS Simon Osindero, Geoffrey E. Hinton
2007	A*	`conf`	Restricted Boltzmann machines for collaborative filtering. ICML Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton
2007	A*	`conf`	Three new graphical models for statistical language modelling. ICML Andriy Mnih, Geoffrey E. Hinton
2007	A*	`conf`	Unsupervised Learning of Image Transformations. CVPR Roland Memisevic, Geoffrey E. Hinton
2007	—	`conf`	Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes. NIPS Ruslan Salakhutdinov, Geoffrey E. Hinton
2007	A	`conf`	Visualizing Similarity Data with a Mixture of Maps. AISTATS James Cook, Ilya Sutskever, Andriy Mnih, Geoffrey E. Hinton
2006	J	`jnl`	A Fast Learning Algorithm for Deep Belief Nets. Neural Comput. Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh
2006	—	`conf`	Modeling Human Motion Using Binary Latent Variables. NIPS Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis
2006	J	`jnl`	Topographic Product Models Applied to Natural Scene Statistics. Neural Comput. Simon Osindero, Max Welling, Geoffrey E. Hinton
2006	J	`jnl`	Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. Cogn. Sci. Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh
2005	B	`conf`	Embedding via clustering: using spectral information to guide dimensionality reduction. IJCNN Roland Memisevic, Geoffrey E. Hinton
2005	J	`jnl`	Improving dimensionality reduction with spectral gradient descent. Neural Networks Roland Memisevic, Geoffrey E. Hinton
2005	—	`conf`	Inferring Motor Programs from Images of Handwritten Digits. NIPS Geoffrey E. Hinton, Vinod Nair
2005	A	`conf`	Learning Causally Linked Markov Random Fields. AISTATS Geoffrey E. Hinton, Simon Osindero, Kejie Bao
2005	B	`conf`	Learning nonlinear constraints with contrastive backpropagation. IJCNN Andriy Mnih, Geoffrey E. Hinton
2005	A	`conf`	On Contrastive Divergence Learning. AISTATS Miguel Á. Carreira-Perpiñán, Geoffrey E. Hinton
2005	A*	`conf`	What kind of graphical model is the brain? IJCAI Geoffrey E. Hinton
2004	—	`conf`	Distinguishing text from graphics in on-line handwritten ink. IWFHR Christopher M. Bishop, Markus Svensén, Geoffrey E. Hinton
2004	—	`conf`	Exponential Family Harmoniums with an Application to Information Retrieval. NIPS Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
2004	—	`conf`	Multiple Relational Embedding. NIPS Roland Memisevic, Geoffrey E. Hinton
2004	—	`conf`	Neighbourhood Components Analysis. NIPS Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov
2004	J	`jnl`	Probabilistic sequential independent components analysis. IEEE Trans. Neural Networks Max Welling, Richard S. Zemel, Geoffrey E. Hinton
2004	J	`jnl`	Reinforcement Learning with Factored States and Actions. J. Mach. Learn. Res. Brian Sallans, Geoffrey E. Hinton
2003	A	`conf`	Efficient Parametric Projection Pursuit Density Estimation. UAI Max Welling, Richard S. Zemel, Geoffrey E. Hinton
2003	J	`jnl`	Energy-Based Models for Sparse Overcomplete Representations. J. Mach. Learn. Res. Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton
2003	—	`conf`	Wormholes Improve Contrastive Divergence. NIPS Geoffrey E. Hinton, Max Welling, Andriy Mnih
2002	B	`conf`	A Desktop Input Device and Interface for Interactive 3D Character Animation. Graphics Interface Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton
2002	C	`conf`	A New Learning Algorithm for Mean Field Boltzmann Machines. ICANN Max Welling, Geoffrey E. Hinton
2002	J	`jnl`	Classical and Bayesian Inference in Neuroimaging: Theory. NeuroImage Karl J. Friston, William D. Penny, Christophe Phillips, Stefan J. Kiebel, Geoffrey E. Hinton, John Ashburner
2002	J	`jnl`	In Memory of Ray Reiter (1939-2002). AI Mag. Fiora Pirri, Geoffrey E. Hinton, Hector J. Levesque
2002	—	`conf`	Learning Sparse Topographic Representations with Products of Student-t Distributions. NIPS Max Welling, Geoffrey E. Hinton, Simon Osindero
2002	J	`jnl`	Local Physical Models for Interactive Character Animation. Comput. Graph. Forum Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton
2002	J	`jnl`	Recognizing Handwritten Digits Using Hierarchical Products of Experts. IEEE Trans. Pattern Anal. Mach. Intell. Guy Mayraz, Geoffrey E. Hinton
2002	—	`conf`	Self Supervised Boosting. NIPS Max Welling, Richard S. Zemel, Geoffrey E. Hinton
2002	—	`conf`	Stochastic Neighbor Embedding. NIPS Geoffrey E. Hinton, Sam T. Roweis
2002	J	`jnl`	Training Products of Experts by Minimizing Contrastive Divergence. Neural Comput. Geoffrey E. Hinton
2001	A	`conf`	Discovering Multiple Constraints that are Frequently Approximately Satisfied. UAI Geoffrey E. Hinton, Yee Whye Teh
2001	—	`conf`	Global Coordination of Local Linear Models. NIPS Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton
2001	J	`jnl`	Learning Distributed Representations of Concepts Using Linear Relational Embedding. IEEE Trans. Knowl. Data Eng. Alberto Paccanaro, Geoffrey E. Hinton
2001	—	`conf`	Learning Distributed Representations of Relational Data using Linear Relational Embedding. WIRN Alberto Paccanaro, Geoffrey E. Hinton
2001	—	`conf`	Learning Hierarchical Structures with Linear Relational Embedding. NIPS Alberto Paccanaro, Geoffrey E. Hinton
2001	A	`conf`	Products of Hidden Markov Models. AISTATS Andrew D. Brown, Geoffrey E. Hinton
2001	—	`conf`	Relative Density Nets: A New Way to Combine Backpropagation with HMM's. NIPS Andrew D. Brown, Geoffrey E. Hinton
2000	—	`conf`	Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions. IJCNN (2) Alberto Paccanaro, Geoffrey E. Hinton
2000	A*	`conf`	Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. ICML Alberto Paccanaro, Geoffrey E. Hinton
2000	—	`conf`	Modeling High-Dimensional Data by Combining Simple Experts. AAAI/IAAI Geoffrey E. Hinton
2000	—	`conf`	Rate-coded Restricted Boltzmann Machines for Face Recognition. NIPS Yee Whye Teh, Geoffrey E. Hinton
2000	—	`conf`	Recognizing Hand-written Digits Using Hierarchical Products of Experts. NIPS Guy Mayraz, Geoffrey E. Hinton
2000	J	`jnl`	SMEM Algorithm for Mixture Models. Neural Comput. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
2000	J	`jnl`	Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates. J. VLSI Signal Process. Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
2000	—	`conf`	Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task. NIPS Brian Sallans, Geoffrey E. Hinton
2000	J	`jnl`	Variational Learning for Switching State-Space Models. Neural Comput. Zoubin Ghahramani, Geoffrey E. Hinton
1999	—	`conf`	Learning to Parse Images. NIPS Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh
1999	—	`conf`	Spiking Boltzmann Machines. NIPS Geoffrey E. Hinton, Andrew D. Brown
1999	J	`jnl`	Variational Learning in Nonlinear Gaussian Belief Networks. Neural Comput. Brendan J. Frey, Geoffrey E. Hinton
1998	—	`ch.`	A Hierarchical Community of Experts. Learning in Graphical Models Geoffrey E. Hinton, Brian Sallans, Zoubin Ghahramani
1998	—	`ch.`	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants. Learning in Graphical Models Radford M. Neal, Geoffrey E. Hinton
1998	J	`jnl`	Coaching variables for regression and classification. Stat. Comput. Robert Tibshirani, Geoffrey E. Hinton
1998	—	`conf`	Fast Neural Network Emulation of Dynamical Systems for Computer Animation. NIPS Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
1998	J	`jnl`	Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls. IEEE Trans. Neural Networks Sidney S. Fels, Geoffrey E. Hinton
1998	A*	`conf`	NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models. SIGGRAPH Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
1998	—	`conf`	SMEM Algorithm for Mixture Models. NIPS Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton
1997	J	`jnl`	A Mobile Robot that Learns its Place. Neural Comput. Sageev Oore, Geoffrey E. Hinton, Gregory Dudek
1997	J	`jnl`	Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model. Comput. J. Brendan J. Frey, Geoffrey E. Hinton
1997	J	`jnl`	Glove-talk II - a neural-network interface which maps gestures to parallel formant speech synthesizer controls. IEEE Trans. Neural Networks Sidney S. Fels, Geoffrey E. Hinton
1997	—	`conf`	Hierarchical Non-linear Factor Analysis and Topographic Maps. NIPS Zoubin Ghahramani, Geoffrey E. Hinton
1997	J	`jnl`	Instantiating Deformable Models with a Neural Net. Comput. Vis. Image Underst. Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton
1997	—	`conf`	Learning fast neural network emulators for physics-based models. SIGGRAPH Visual Proceedings Radek Grzeszczuk, Demetri Terzopoulos, Geoffrey E. Hinton
1997	J	`jnl`	Modeling the manifolds of images of handwritten digits. IEEE Trans. Neural Networks Geoffrey E. Hinton, Peter Dayan, Michael Revow
1997	J	`jnl`	Using Expectation-Maximization for Reinforcement Learning. Neural Comput. Peter Dayan, Geoffrey E. Hinton
1996	B	`conf`	Free Energy Coding. Data Compression Conference Brendan J. Frey, Geoffrey E. Hinton
1996	J	`jnl`	Using Generative Models for Handwritten Digit Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Michael Revow, Christopher K. I. Williams, Geoffrey E. Hinton
1996	J	`jnl`	Varieties of Helmholtz Machine. Neural Networks Peter Dayan, Geoffrey E. Hinton
1995	—	`conf`	Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan
1995	A*	`conf`	GloveTalkII: An Adaptive Gesture-to-Formant Interface. CHI Sidney S. Fels, Geoffrey E. Hinton
1995	J	`jnl`	Learning Population Codes by Minimizing Description Length. Neural Comput. Richard S. Zemel, Geoffrey E. Hinton
1995	J	`jnl`	The Helmholtz machine. Neural Comput. Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel
1995	—	`conf`	Using Pairs of Data-Points to Define Splits for Decision Trees. NIPS Geoffrey E. Hinton, Michael Revow
1994	—	`conf`	An Alternative Model for Mixtures of Experts. NIPS Lei Xu, Michael I. Jordan, Geoffrey E. Hinton
1994	—	`conf`	Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks. NIPS Sidney S. Fels, Geoffrey E. Hinton
1994	—	`conf`	Recognizing Handwritten Digits Using Mixtures of Linear Models. NIPS Geoffrey E. Hinton, Michael Revow, Peter Dayan
1994	—	`conf`	Using a neural net to instantiate a deformable model. NIPS Christopher K. I. Williams, Michael Revow, Geoffrey E. Hinton
1993	J	`jnl`	A soft decision-directed LMS algorithm for blind equalization. IEEE Trans. Commun. Steven J. Nowlan, Geoffrey E. Hinton
1993	—	`conf`	Autoencoders, Minimum Description Length and Helmholtz Free Energy. NIPS Geoffrey E. Hinton, Richard S. Zemel
1993	—	`conf`	Developing Population Codes by Minimizing Description Length. NIPS Richard S. Zemel, Geoffrey E. Hinton
1993	J	`jnl`	Glove-Talk: a neural network interface between a data-glove and a speech synthesizer. IEEE Trans. Neural Networks Sidney S. Fels, Geoffrey E. Hinton
1993	A*	`conf`	Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights. COLT Geoffrey E. Hinton, Drew van Camp
1993	J	`jnl`	Learning Mixture Models of Spatial Coherence. Neural Comput. Suzanna Becker, Geoffrey E. Hinton
1992	—	`conf`	Feudal Reinforcement Learning. NIPS Peter Dayan, Geoffrey E. Hinton
1992	J	`jnl`	Simplifying Neural Networks by Soft Weight-Sharing. Neural Comput. Steven J. Nowlan, Geoffrey E. Hinton
1991	—	`conf`	Adaptive Elastic Models for Hand-Printed Character Recognition. NIPS Geoffrey E. Hinton, Christopher K. I. Williams, Michael Revow
1991	J	`jnl`	Adaptive Mixtures of Local Experts. Neural Comput. Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton
1991	—	`conf`	Adaptive Soft Weight Tying using Gaussian Mixtures. NIPS Steven J. Nowlan, Geoffrey E. Hinton
1991	—	`conf`	Learning to Make Coherent Predictions in Domains with Discontinuities. NIPS Suzanna Becker, Geoffrey E. Hinton
1990	J	`jnl`	A time-delay neural network architecture for isolated word recognition. Neural Networks Kevin J. Lang, Alex Waibel, Geoffrey E. Hinton
1990	B	`conf`	Building adaptive interfaces with neural networks: The glove-talk pilot study. INTERACT Sidney S. Fels, Geoffrey E. Hinton
1990	J	`jnl`	Connectionist Symbol Processing - Preface. Artif. Intell. Geoffrey E. Hinton
1990	—	`conf`	Discovering Viewpoint-Invariant Relationships That Characterize Objects. NIPS Richard S. Zemel, Geoffrey E. Hinton
1990	—	`ch.`	Distributed Representations. The Philosophy of Artificial Intelligence Geoffrey E. Hinton, James L. McClelland, David E. Rumelhart
1990	—	`conf`	Evaluation of Adaptive Mixtures of Competing Experts. NIPS Steven J. Nowlan, Geoffrey E. Hinton
1990	J	`jnl`	Mapping Part-Whole Hierarchies into Connectionist Networks. Artif. Intell. Geoffrey E. Hinton
1990	J	`jnl`	The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm. Neural Comput. Geoffrey E. Hinton, Steven J. Nowlan
1989	J	`jnl`	Connectionist Learning Procedures. Artif. Intell. Geoffrey E. Hinton
1989	J	`jnl`	Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space. Neural Comput. Geoffrey E. Hinton
1989	—	`conf`	Dimensionality Reduction and Prior Knowledge in E-Set Recognition. NIPS Kevin J. Lang, Geoffrey E. Hinton
1989	—	`conf`	Discovering High Order Features with Mean Field Modules. NIPS Conrad C. Galland, Geoffrey E. Hinton
1989	J	`jnl`	Phoneme recognition using time-delay neural networks. IEEE Trans. Acoust. Speech Signal Process. Alexander Waibel, Toshiyuki Hanazawa, Geoffrey E. Hinton, Kiyohiro Shikano, Kevin J. Lang
1989	—	`conf`	TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations. NIPS Richard S. Zemel, Michael Mozer, Geoffrey E. Hinton
1988	J	`jnl`	A Distributed Connectionist Production System. Cogn. Sci. David S. Touretzky, Geoffrey E. Hinton
1988	—	`conf`	GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection. NIPS Yann LeCun, Conrad C. Galland, Geoffrey E. Hinton
1988	Misc	`conf`	Phoneme recognition: neural networks vs. hidden Markov models. ICASSP Alex Waibel, Toshiyuki Hanazawa, Geoffrey E. Hinton, Kiyohiro Shikano, Kevin J. Lang
1987	J	`jnl`	Connectionist Architectures for Artificial Intelligence. Computer Scott E. Fahlman, Geoffrey E. Hinton
1987	J	`jnl`	How Learning Can Guide Evolution. Complex Syst. Geoffrey E. Hinton, Steven J. Nowlan
1987	—	`conf`	Learning Representations by Recirculation. NIPS Geoffrey E. Hinton, James L. McClelland
1987	—	`conf`	Learning Translation Invariant Recognition in Massively Parallel Networks. PARLE (1) Geoffrey E. Hinton
1986	A*	`conf`	Learning in Massively Parallel Nets (Panel). AAAI Drew V. McDermott, Geoffrey E. Hinton
1985	J	`jnl`	A Learning Algorithm for Boltzmann Machines. Cogn. Sci. David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski
1985	A*	`conf`	Shape Recognition and Illusory Conjunctions. IJCAI Geoffrey E. Hinton, Kevin J. Lang
1985	A*	`conf`	Symbols Among the Neurons: Details of a Connectionist Inference Architecture. IJCAI David S. Touretzky, Geoffrey E. Hinton
1983	A*	`conf`	Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski
1981	A*	`conf`	A Parallel Computation that Assigns Canonical Object-Based Frames of Reference. IJCAI Geoffrey E. Hinton
1981	A*	`conf`	Shape Representation in Parallel Systems. IJCAI Geoffrey E. Hinton
1979	J	`jnl`	Some Demonstrations of the Effects of Structural Descriptions in Mental Imagery. Cogn. Sci. Geoffrey E. Hinton
1978	—	`conf`	Representation and Control in Vision. AISB/GI (ECAI) Aaron Sloman, David Owen, Geoffrey E. Hinton, Frank Birch, Frank O'Gorman
1977	—	`—`	Relaxation and its role in vision. Geoffrey E. Hinton
1976	—	`conf`	Using Relaxation to find a Puppet. AISB (ECAI) Geoffrey E. Hinton