Geoffrey E. Hinton

Neural Comput., March, 2023

Managing AI Risks in an Era of Rapid Progress.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Forward Gradient With Local Losses.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

[BibT_eX]

[DOI]

Ting Chen

Ruixiang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Generalist Framework for Panoptic Segmentation of Images and Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

The Forward-Forward Algorithm: Some Preliminary Investigations.

[BibT_eX]

[DOI]

CoRR, 2022

Testing GLOM's ability to infer wholes from ambiguous parts.

[BibT_eX]

[DOI]

Laura Culp

CoRR, 2022

Gaussian-Bernoulli RBMs Without Tears.

[BibT_eX]

[DOI]

CoRR, 2022

Robust and Efficient Medical Imaging with Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

A Unified Sequence Interface for Vision Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pix2seq: A Language Modeling Framework for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Learning Fast Weight Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Deep learning for AI.

[BibT_eX]

[DOI]

Yoshua Bengio

Commun. ACM, 2021

Canonical Capsules: Self-Supervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Additive Models: Interpretable Machine Learning with Neural Nets.

[BibT_eX]

[DOI]

Benjamin J. Lengerich

Rich Caruana

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Part Representation by Flow Capsules.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Teaching with Commentaries.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Canonical Capsules: Unsupervised Capsules in Canonical Pose.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Additive Models: Interpretable Machine Learning with Neural Nets.

[BibT_eX]

[DOI]

CoRR, 2020

Deflecting Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Subclass Distillation.

[BibT_eX]

[DOI]

Rafael Müller

Simon Kornblith

CoRR, 2020

The Next Generation of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Big Self-Supervised Models are Strong Semi-Supervised Learners.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Simple Framework for Contrastive Learning of Visual Representations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Imputer: Sequence Modelling via Imputation and Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

NASA Neural Articulated Shape Approximation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

CvxNet: Learnable Convex Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

NASA: Neural Articulated Shape Approximation.

[BibT_eX]

[DOI]

CoRR, 2019

CvxNets: Learnable Convex Decomposition.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Sparse Networks Using Targeted Dropout.

[BibT_eX]

[DOI]

CoRR, 2019

Cerberus: A Multi-headed Derenderer.

[BibT_eX]

[DOI]

Boyang Deng

Simon Kornblith

CoRR, 2019

Lookahead Optimizer: k steps forward, 1 step back.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

When does label smoothing help?

[BibT_eX]

[DOI]

Rafael Müller

Simon Kornblith

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stacked Capsule Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Similarity of Neural Network Representations Revisited.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Analyzing and Improving Representations with the Soft Nearest Neighbor Loss.

[BibT_eX]

[DOI]

Nicolas Papernot

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules.

[BibT_eX]

[DOI]

CoRR, 2018

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.

[BibT_eX]

[DOI]

CoRR, 2018

Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Matrix capsules with EM routing.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Large scale distributed neural network training through online distillation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search.

[BibT_eX]

[DOI]

Jamie Ryan Kiros

William Chan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Who Said What: Modeling Individual Labelers Improves Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Belief Nets.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

ImageNet classification with deep convolutional neural networks.

[BibT_eX]

[DOI]

Commun. ACM, 2017

Dynamic Routing Between Capsules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Regularizing Neural Networks by Penalizing Confident Output Distributions.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Distilling a Neural Network Into a Soft Decision Tree.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Comprehensibility and Explanation in AI and ML 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.

[BibT_eX]

[DOI]

CoRR, 2016

Layer Normalization.

[BibT_eX]

[DOI]

Lei Jimmy Ba

Jamie Ryan Kiros

CoRR, 2016

Attend, Infer, Repeat: Fast Scene Understanding with Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Using Fast Weights to Attend to the Recent Past.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Deep learning.

[BibT_eX]

[DOI]

Yoshua Bengio

Nat., 2015

Guest Editorial: Deep Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units.

[BibT_eX]

[DOI]

Quoc V. Le

CoRR, 2015

Distilling the Knowledge in a Neural Network.

[BibT_eX]

[DOI]

Oriol Vinyals

Jeffrey Dean

CoRR, 2015

Grammar as a Foreign Language.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Application of Deep Belief Networks for Natural Language Understanding.

[BibT_eX]

[DOI]

Ruhi Sarikaya

Anoop Deoras

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Dropout: a simple way to prevent neural networks from overfitting.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Where Do Features Come From?

[BibT_eX]

[DOI]

Cogn. Sci., 2014

Autoregressive product of multi-frame predictions can improve the accuracy of hybrid models.

[BibT_eX]

[DOI]

Vincent Vanhoucke

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013

Modeling Natural Images Using Gated MRFs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Modeling Documents with Deep Boltzmann Machines.

[BibT_eX]

[DOI]

Nitish Srivastava

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Using an autoencoder with deformable templates to discover features for automated speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Tensor Analyzers.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

On the importance of initialization and momentum in deep learning.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

On rectified linear units for speech processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Speech recognition with deep recurrent neural networks.

[BibT_eX]

[DOI]

Alex Graves

Proceedings of the IEEE International Conference on Acoustics, 2013

New types of deep neural network learning for speech recognition and related applications: an overview.

[BibT_eX]

[DOI]

Li Deng

Brian Kingsbury

Proceedings of the IEEE International Conference on Acoustics, 2013

Improving deep neural networks for LVCSR using rectified linear units and dropout.

[BibT_eX]

[DOI]

George E. Dahl

Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

A Practical Guide to Training Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Introduction to the Special Section on Deep Learning for Speech and Language Processing.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2012

Acoustic Modeling Using Deep Belief Networks.

[BibT_eX]

[DOI]

George E. Dahl

IEEE Trans. Speech Audio Process., 2012

An Efficient Learning Procedure for Deep Boltzmann Machines.

[BibT_eX]

[DOI]

Neural Comput., 2012

Visualizing non-metric similarities in multiple maps.

[BibT_eX]

[DOI]

Laurens van der Maaten

Mach. Learn., 2012

Improving neural networks by preventing co-adaptation of feature detectors

[BibT_eX]

[DOI]

CoRR, 2012

A Better Way to Pretrain Deep Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Deep Lambertian Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Deep Mixtures of Factor Analysers.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Learning to Label Aerial Images from Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Understanding how Deep Belief Networks perform acoustic modelling.

[BibT_eX]

[DOI]

Gerald Penn

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Robust Boltzmann Machines for recognition and denoising.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Discovering Binary Codes for Documents by Learning Deep Generative Models.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2011

Two Distributed-State Models For Generating High-Dimensional Time Series.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

A better way to learn features: technical perspective.

[BibT_eX]

[DOI]

Commun. ACM, 2011

Conditional Restricted Boltzmann Machines for Structured Output Prediction.

[BibT_eX]

[DOI]

Hugo Larochelle

Proceedings of the UAI 2011, 2011

Generating Text with Recurrent Neural Networks.

[BibT_eX]

[DOI]

James Martens

Proceedings of the 28th International Conference on Machine Learning, 2011

Deep belief nets for natural language call-routing.

[BibT_eX]

[DOI]

Ruhi Sarikaya

Bhuvana Ramabhadran

Proceedings of the IEEE International Conference on Acoustics, 2011

Deep Belief Networks using discriminative features for phone recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Learning a better representation of speech soundwaves using restricted boltzmann machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Transforming Auto-Encoders.

[BibT_eX]

[DOI]

Sida D. Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Using very deep autoencoders for content-based image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Modeling the joint density of two images under a variety of transformations.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

On deep generative models with applications to recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Deep Belief Nets.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Temporal-Kernel Recurrent Neural Networks.

[BibT_eX]

[DOI]

Neural Networks, 2010

Comparing Classification Methods for Longitudinal fMRI Studies.

[BibT_eX]

[DOI]

Neural Comput., 2010

Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines.

[BibT_eX]

[DOI]

Neural Comput., 2010

Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Generating more realistic images using gated MRF's.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Gated Softmax Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning to combine foveal glimpses with a third-order Boltzmann machine.

[BibT_eX]

[DOI]

Hugo Larochelle

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Binary coding of speech spectrograms using a deep auto-encoder.

[BibT_eX]

[DOI]

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Rectified Linear Units Improve Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Phone recognition using Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Learning to Detect Roads in High-Resolution Aerial Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

Dynamical binary latent variable models for 3D human pose tracking.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Modeling pixel means and covariances using factorized third-order boltzmann machines.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Deep belief networks.

[BibT_eX]

[DOI]

Scholarpedia, 2009

Deep Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Improving a statistical language model through non-linear prediction.

[BibT_eX]

[DOI]

Zhang Yuecheng

Neurocomputing, 2009

Semantic hashing.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

Products of Hidden Markov Models: It Takes N>1 to Tango.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Replicated Softmax: an Undirected Topic Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Zero-shot Learning with Semantic Output Codes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

3D Object Recognition with Deep Belief Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Workshop summary: Workshop on learning feature hierarchies.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Using fast weights to improve persistent contrastive divergence.

[BibT_eX]

[DOI]

Tijmen Tieleman

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Factored conditional restricted Boltzmann Machines for modeling motion style.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Learning Generative Texture Models with extended Fields-of-Experts.

[BibT_eX]

[DOI]

Nicolas Heess

Proceedings of the British Machine Vision Conference, 2009

2008

Deep, Narrow Sigmoid Belief Networks Are Universal Approximators.

[BibT_eX]

[DOI]

Neural Comput., 2008

The Recurrent Temporal Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Using matrices to model symbolic relationship.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Generative versus discriminative training of RBMs for classification of fMRI images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Implicit Mixtures of Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Scalable Hierarchical Distributed Language Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Analysis-by-Synthesis by Learning to Invert Generative Black Boxes.

[BibT_eX]

[DOI]

Joshua M. Susskind

Proceedings of the Artificial Neural Networks, 2008

Improving a statistical language model by modulating the effects of context words.

[BibT_eX]

[DOI]

Zhang Yuecheng

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Boltzmann machine.

[BibT_eX]

[DOI]

Scholarpedia, 2007

Learning Multilevel Distributed Representations for High-Dimensional Sequences.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Visualizing Similarity Data with a Mixture of Maps.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Modeling image patches with a directed hierarchy of Markov random fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Restricted Boltzmann machines for collaborative filtering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Three new graphical models for statistical language modelling.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Unsupervised Learning of Image Transformations.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Topographic Product Models Applied to Natural Scene Statistics.

[BibT_eX]

[DOI]

Neural Comput., 2006

A Fast Learning Algorithm for Deep Belief Nets.

[BibT_eX]

[DOI]

Neural Comput., 2006

Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation.

[BibT_eX]

[DOI]

Cogn. Sci., 2006

Modeling Human Motion Using Binary Latent Variables.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Improving dimensionality reduction with spectral gradient descent.

[BibT_eX]

[DOI]

Neural Networks, 2005

Inferring Motor Programs from Images of Handwritten Digits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning nonlinear constraints with contrastive backpropagation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

Embedding via clustering: using spectral information to guide dimensionality reduction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Neural Networks, 2005

What kind of graphical model is the brain?

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning Causally Linked Markov Random Fields.

[BibT_eX]

[DOI]

Miguel Á. Carreira-Perpiñán

Kejie Bao

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

On Contrastive Divergence Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Probabilistic sequential independent components analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

Reinforcement Learning with Factored States and Actions.

[BibT_eX]

[DOI]

Brian Sallans

J. Mach. Learn. Res., 2004

Exponential Family Harmoniums with an Application to Information Retrieval.

[BibT_eX]

[DOI]

Michal Rosen-Zvi

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Multiple Relational Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Neighbourhood Components Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Distinguishing text from graphics in on-line handwritten ink.

[BibT_eX]

[DOI]

Christopher M. Bishop

Markus Svensén

Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

2003

Energy-Based Models for Sparse Overcomplete Representations.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Efficient Parametric Projection Pursuit Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the UAI '03, 2003

Wormholes Improve Contrastive Divergence.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Recognizing Handwritten Digits Using Hierarchical Products of Experts.

[BibT_eX]

[DOI]

Guy Mayraz

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Classical and Bayesian Inference in Neuroimaging: Theory.

[BibT_eX]

[DOI]

NeuroImage, 2002

Training Products of Experts by Minimizing Contrastive Divergence.

[BibT_eX]

[DOI]

Neural Comput., 2002

Local Physical Models for Interactive Character Animation.

[BibT_eX]

[DOI]

Sageev Oore

Comput. Graph. Forum, 2002

In Memory of Ray Reiter (1939-2002).

[BibT_eX]

[DOI]

Fiora Pirri

Hector J. Levesque

AI Mag., 2002

Self Supervised Boosting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Learning Sparse Topographic Representations with Products of Student-t Distributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Stochastic Neighbor Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

A New Learning Algorithm for Mean Field Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

A Desktop Input Device and Interface for Interactive 3D Character Animation.

[BibT_eX]

[DOI]

Sageev Oore

Proceedings of the Graphics Interface 2002 Conference, 2002

2001

Learning Distributed Representations of Concepts Using Linear Relational Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2001

Learning Distributed Representations of Relational Data using Linear Relational Embedding.

[BibT_eX]

[DOI]

Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Discovering Multiple Constraints that are Frequently Approximately Satisfied.

[BibT_eX]

[DOI]

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Global Coordination of Local Linear Models.

[BibT_eX]

[DOI]

Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Learning Hierarchical Structures with Linear Relational Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Relative Density Nets: A New Way to Combine Backpropagation with HMM's.

[BibT_eX]

[DOI]

Andrew D. Brown

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Products of Hidden Markov Models.

[BibT_eX]

[DOI]

Andrew D. Brown

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.

[BibT_eX]

[DOI]

J. VLSI Signal Process., 2000

SMEM Algorithm for Mixture Models.

[BibT_eX]

[DOI]

Neural Comput., 2000

Variational Learning for Switching State-Space Models.

[BibT_eX]

[DOI]

Neural Comput., 2000

Rate-coded Restricted Boltzmann Machines for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task.

[BibT_eX]

[DOI]

Brian Sallans

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Recognizing Hand-written Digits Using Hierarchical Products of Experts.

[BibT_eX]

[DOI]

Guy Mayraz

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Modeling High-Dimensional Data by Combining Simple Experts.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

Variational Learning in Nonlinear Gaussian Belief Networks.

[BibT_eX]

[DOI]

Neural Comput., 1999

Learning to Parse Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Spiking Boltzmann Machines.

[BibT_eX]

[DOI]

Andrew D. Brown

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998

Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1998

Coaching variables for regression and classification.

[BibT_eX]

[DOI]

Robert Tibshirani

Stat. Comput., 1998

NeuroAnimator: Fast Neural Network Emulation and Control of Physics-based Models.

[BibT_eX]

[DOI]

Radek Grzeszczuk

Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, 1998

Fast Neural Network Emulation of Dynamical Systems for Computer Animation.

[BibT_eX]

[DOI]

Radek Grzeszczuk

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants.

[BibT_eX]

[DOI]

Radford M. Neal

Proceedings of the Learning in Graphical Models, 1998

A Hierarchical Community of Experts.

[BibT_eX]

[DOI]

Brian Sallans

Proceedings of the Learning in Graphical Models, 1998

1997

Modeling the manifolds of images of handwritten digits.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

Glove-talk II - a neural-network interface which maps gestures to parallel formant speech synthesizer controls.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

A Mobile Robot that Learns its Place.

[BibT_eX]

[DOI]

Sageev Oore

Gregory Dudek

Neural Comput., 1997

Using Expectation-Maximization for Reinforcement Learning.

[BibT_eX]

[DOI]

Neural Comput., 1997

Instantiating Deformable Models with a Neural Net.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 1997

Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model.

[BibT_eX]

Comput. J., 1997

Learning fast neural network emulators for physics-based models.

[BibT_eX]

[DOI]

Radek Grzeszczuk

Proceedings of the ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97, 1997

Hierarchical Non-linear Factor Analysis and Topographic Maps.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Using Generative Models for Handwritten Digit Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1996

Varieties of Helmholtz Machine.

[BibT_eX]

[DOI]

Neural Networks, 1996

Free Energy Coding.

[BibT_eX]

[DOI]

Proceedings of the 6th Data Compression Conference (DCC '96), Snowbird, Utah, USA, March 31, 1996

1995

Learning Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Neural Comput., 1995

The Helmholtz machine.

[BibT_eX]

[DOI]

Neural Comput., 1995

Using Pairs of Data-Points to Define Splits for Decision Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Does the Wake-sleep Algorithm Produce Good Density Estimators?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

GloveTalkII: An Adaptive Gesture-to-Formant Interface.

[BibT_eX]

[DOI]

Proceedings of the Human Factors in Computing Systems, 1995

1994

An Alternative Model for Mixtures of Experts.

[BibT_eX]

[DOI]

Lei Xu

Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Using a neural net to instantiate a deformable model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Recognizing Handwritten Digits Using Mixtures of Linear Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Glove-TalkII: Mapping Hand Gestures to Speech Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Glove-Talk: a neural network interface between a data-glove and a speech synthesizer.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1993

A soft decision-directed LMS algorithm for blind equalization.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 1993

Learning Mixture Models of Spatial Coherence.

[BibT_eX]

[DOI]

Suzanna Becker

Neural Comput., 1993

Developing Population Codes by Minimizing Description Length.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Autoencoders, Minimum Description Length and Helmholtz Free Energy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights.

[BibT_eX]

[DOI]

Drew van Camp

Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993

1992

Simplifying Neural Networks by Soft Weight-Sharing.

[BibT_eX]

[DOI]

Neural Comput., 1992

Feudal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991

Adaptive Mixtures of Local Experts.

[BibT_eX]

[DOI]

Neural Comput., 1991

Adaptive Soft Weight Tying using Gaussian Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Adaptive Elastic Models for Hand-Printed Character Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Learning to Make Coherent Predictions in Domains with Discontinuities.

[BibT_eX]

[DOI]

Suzanna Becker

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990

A time-delay neural network architecture for isolated word recognition.

[BibT_eX]

[DOI]

Kevin J. Lang

Alex Waibel

Neural Networks, 1990

The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm.

[BibT_eX]

[DOI]

Neural Comput., 1990

Mapping Part-Whole Hierarchies into Connectionist Networks.

[BibT_eX]

[DOI]

Artif. Intell., 1990

Connectionist Symbol Processing - Preface.

[BibT_eX]

[DOI]

Artif. Intell., 1990

Discovering Viewpoint-Invariant Relationships That Characterize Objects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Evaluation of Adaptive Mixtures of Competing Experts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Building adaptive interfaces with neural networks: The glove-talk pilot study.

[BibT_eX]

Proceedings of the Human-Computer Interaction, 1990

Distributed Representations.

[BibT_eX]

James L. McClelland

David E. Rumelhart

Proceedings of the Philosophy of Artificial Intelligence., 1990

1989

Phoneme recognition using time-delay neural networks.

[BibT_eX]

[DOI]

IEEE Trans. Acoust. Speech Signal Process., 1989

Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space.

[BibT_eX]

[DOI]

Neural Comput., 1989

Connectionist Learning Procedures.

[BibT_eX]

[DOI]

Artif. Intell., 1989

TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations.

[BibT_eX]

[DOI]

Michael Mozer

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

Dimensionality Reduction and Prior Knowledge in E-Set Recognition.

[BibT_eX]

[DOI]

Kevin J. Lang

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

Discovering High Order Features with Mean Field Modules.

[BibT_eX]

[DOI]

Conrad C. Galland

Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988

A Distributed Connectionist Production System.

[BibT_eX]

[DOI]

David S. Touretzky

Cogn. Sci., 1988

GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection.

[BibT_eX]

[DOI]

Conrad C. Galland

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Phoneme recognition: neural networks vs. hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

Connectionist Architectures for Artificial Intelligence.

[BibT_eX]

[DOI]

Scott E. Fahlman

Computer, 1987

How Learning Can Guide Evolution.

[BibT_eX]

[DOI]

Complex Syst., 1987

Learning Translation Invariant Recognition in Massively Parallel Networks.

[BibT_eX]

[DOI]

Proceedings of the PARLE, 1987

Learning Representations by Recirculation.

[BibT_eX]

[DOI]

James L. McClelland

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

1986

Learning in Massively Parallel Nets (Panel).

[BibT_eX]

[DOI]

Drew V. McDermott

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985

A Learning Algorithm for Boltzmann Machines.

[BibT_eX]

[DOI]

David H. Ackley

Terrence J. Sejnowski

Cogn. Sci., 1985

Symbols Among the Neurons: Details of a Connectionist Inference Architecture.

[BibT_eX]

[DOI]

David S. Touretzky

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Shape Recognition and Illusory Conjunctions.

[BibT_eX]

[DOI]

Kevin J. Lang

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

1983

Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines.

[BibT_eX]

[DOI]

Scott E. Fahlman

Terrence J. Sejnowski

Proceedings of the National Conference on Artificial Intelligence, 1983

1981

A Parallel Computation that Assigns Canonical Object-Based Frames of Reference.

[BibT_eX]

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

Shape Representation in Parallel Systems.

[BibT_eX]

Proceedings of the 7th International Joint Conference on Artificial Intelligence, 1981

1979

Some Demonstrations of the Effects of Structural Descriptions in Mental Imagery.

[BibT_eX]

[DOI]

Cogn. Sci., 1979

1978

Representation and Control in Vision.

[BibT_eX]

Proceedings of AISB/GI Conference (Proceedings of the 4th European Conference on Artificial Intelligence), 1978

1977

Relaxation and its role in vision.

[BibT_eX]

[DOI]

PhD thesis, 1977

1976

Using Relaxation to find a Puppet.

[BibT_eX]

[DOI]