Yann LeCun

According to our database1, Yann LeCun authored at least 230 papers between 1988 and 2018.

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Bibliography

2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.
CoRR, 2018

Backpropagation for Implicit Spectral Densities.
CoRR, 2018

Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks.
CoRR, 2018

DeSIGN: Design Inspiration from Generative Networks.
CoRR, 2018

Predicting Future Instance Segmentations by Forecasting Convolutional Features.
CoRR, 2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.
CoRR, 2018

Byte-Level Recursive Convolutional Auto-Encoder for Text.
CoRR, 2018

Adversarially Regularized Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

Comparing Dynamics: Deep Neural Networks versus Glassy Systems.
Proceedings of the 35th International Conference on Machine Learning, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Geometric Deep Learning: Going beyond Euclidean data.
IEEE Signal Process. Mag., 2017

A Closer Look at Spatiotemporal Convolutions for Action Recognition.
CoRR, 2017

Prediction Under Uncertainty with Error-Encoding Networks.
CoRR, 2017

Hierarchical loss for classification.
CoRR, 2017

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
CoRR, 2017

Adversarially Regularized Autoencoders for Generating Discrete Structures.
CoRR, 2017

Predicting Deeper into the Future of Semantic Segmentation.
CoRR, 2017

Model-Based Planning in Discrete Action Spaces.
CoRR, 2017

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs.
Proceedings of the 34th International Conference on Machine Learning, 2017

Predicting Deeper into the Future of Semantic Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Very Deep Convolutional Networks for Text Classification.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Universum Prescription: Regularization Using Unlabeled Data.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Mathematical Motivation for Complex-Valued Convolutional Networks.
Neural Computation, 2016

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches.
Journal of Machine Learning Research, 2016

Energy-based Generative Adversarial Network.
CoRR, 2016

Singularity of the Hessian in Deep Learning.
CoRR, 2016

Fast Incremental Learning for Off-Road Robot Navigation.
CoRR, 2016

Disentangling factors of variation in deep representations using adversarial training.
CoRR, 2016

Simultaneous Learning of Trees and Representations for Extreme Classification, with Application to Language Modeling.
CoRR, 2016

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
CoRR, 2016

Tracking the World State with Recurrent Entity Networks.
CoRR, 2016

Orthogonal RNNs and Long-Memory Tasks.
CoRR, 2016

Phase 3: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Bioacoustic Applicaitons.
CoRR, 2016

Phase 4: DCL System Using Deep Learning Approaches for Land-Based or Ship-Based Real-Time Recognition and Localization of Marine Mammals - Distributed Processing and Big Data Applications.
CoRR, 2016

Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms.
CoRR, 2016

Phase 1: DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - HPC System Implementation.
CoRR, 2016

Very Deep Convolutional Networks for Natural Language Processing.
CoRR, 2016

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys.
CoRR, 2016

Geometric deep learning: going beyond Euclidean data.
CoRR, 2016

Disentangling factors of variation in deep representation using adversarial training.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Recurrent Orthogonal Networks and Long-Memory Tasks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Binary embeddings with structured hashed projections.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Very deep multilingual convolutional neural networks for LVCSR.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Deep learning.
Nature, 2015

Guest Editorial: Deep Learning.
International Journal of Computer Vision, 2015

Stacked What-Where Auto-encoders.
CoRR, 2015

Character-level Convolutional Networks for Text Classification.
CoRR, 2015

Universum Prescription: Regularization using Unlabeled Data.
CoRR, 2015

Text Understanding from Scratch.
CoRR, 2015

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches.
CoRR, 2015

Very Deep Multilingual Convolutional Neural Networks for LVCSR.
CoRR, 2015

Universality in halting time and its applications in optimization.
CoRR, 2015

Deep multi-scale video prediction beyond mean square error.
CoRR, 2015

Deep Convolutional Networks on Graph-Structured Data.
CoRR, 2015

Learning to Linearize Under Uncertainty.
CoRR, 2015

Unsupervised Feature Learning from Temporal Data.
CoRR, 2015

High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications.
CoRR, 2015

Binary embeddings with structured hashed projections.
CoRR, 2015

Super-Resolution with Deep Convolutional Sufficient Statistics.
CoRR, 2015

A theoretical argument for complex-valued convolutional networks.
CoRR, 2015

Character-level Convolutional Networks for Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep learning with Elastic Averaging SGD.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning to Linearize Under Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Unsupervised Learning of Spatiotemporally Coherent Metrics.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Source separation with scattering Non-Negative Matrix Factorization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Audio Source Separation with Discriminative Scattering Networks.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Deep learning & convolutional networks.
Proceedings of the 2015 IEEE Hot Chips 27 Symposium (HCS), 2015

Computing the stereo matching cost with a convolutional neural network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient object localization using Convolutional Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Open Problem: The landscape of the loss surfaces of multilayer networks.
Proceedings of The 28th Conference on Learning Theory, 2015

The Loss Surfaces of Multilayer Networks.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks.
ACM Trans. Graph., 2014

Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos.
Journal of Machine Learning Research, 2014

Deep learning with Elastic Averaging SGD.
CoRR, 2014

Computing the Stereo Matching Cost with a Convolutional Neural Network.
CoRR, 2014

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation.
CoRR, 2014

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation.
CoRR, 2014

Efficient Object Localization Using Convolutional Networks.
CoRR, 2014

Audio Source Separation with Discriminative Scattering Networks.
CoRR, 2014

Explorations on high dimensional landscapes.
CoRR, 2014

Fast Approximation of Rotations and Hessians matrices.
CoRR, 2014

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation.
CoRR, 2014

Unsupervised Learning of Spatiotemporally Coherent Metrics.
CoRR, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
CoRR, 2014

The Loss Surface of Multilayer Networks.
CoRR, 2014

Differentially- and non-differentially-private random decision trees.
CoRR, 2014

Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Signal recovery from Pooling Representations.
Proceedings of the 31th International Conference on Machine Learning, 2014

MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Learning Hierarchical Features for Scene Labeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Feature learning and deep architectures: new directions for music informatics.
J. Intell. Inf. Syst., 2013

Discriminative Recurrent Sparse Auto-Encoders
CoRR, 2013

Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
CoRR, 2013

Saturating Auto-Encoder
CoRR, 2013

Indoor Semantic Segmentation using depth information
CoRR, 2013

Learning Stable Group Invariant Representations with Convolutional Networks
CoRR, 2013

Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities
CoRR, 2013

Causal graph-based video segmentation
CoRR, 2013

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.
CoRR, 2013

Fast Training of Convolutional Networks through FFTs.
CoRR, 2013

Understanding Deep Architectures using a Recursive Convolutional Network.
CoRR, 2013

Spectral Networks and Locally Connected Networks on Graphs.
CoRR, 2013

Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Regularization of Neural Networks using DropConnect.
Proceedings of the 30th International Conference on Machine Learning, 2013

No more pesky learning rates.
Proceedings of the 30th International Conference on Machine Learning, 2013

Causal graph-based video segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2013

Pedestrian Detection with Unsupervised Multi-stage Feature Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Preface.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2012
Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

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

Deep Learning Made Easier by Linear Transformations in Perceptrons.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
CoRR, 2012

No More Pesky Learning Rates
CoRR, 2012

Convolutional Neural Networks Applied to House Numbers Digit Classification
CoRR, 2012

Fast approximations to structured sparse coding and applications to object classification
CoRR, 2012

Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers
CoRR, 2012

Moving Beyond Feature Design: Deep Architectures and Automatic Feature Learning in Music Informatics.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Convolutional neural networks applied to house numbers digit classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers.
Proceedings of the 29th International Conference on Machine Learning, 2012

Fast Approximations to Structured Sparse Coding and Applications to Object Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Learning Invariant Feature Hierarchies.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Semantic Road Segmentation via Multi-scale Ensembles of Learned Features.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Road Scene Segmentation from a Single Image.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Learning Representations by Maximizing Compression
CoRR, 2011

Efficient Learning of Sparse Invariant Representations
CoRR, 2011

Concerto for violin and Markov model: technical perspective.
Commun. ACM, 2011

Structured sparse coding via lateral inhibition.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Unsupervised Learning of Sparse Features for Scalable Audio Classification.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Traffic sign recognition with multi-scale Convolutional Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Ask the locals: Multi-way local pooling for image recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

NeuFlow: A runtime reconfigurable dataflow processor for vision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Hardware accelerated visual attention algorithm.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010
Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition
CoRR, 2010

Convolutional Matching Pursuit and Dictionary Training
CoRR, 2010

Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
CoRR, 2010

Regularized estimation of image statistics by Score Matching.
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 Convolutional Feature Hierarchies for Visual Recognition.
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

Convolutional networks and applications in vision.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Hardware accelerated convolutional neural networks for synthetic vision systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Hybrid hessians for flexible optimization of pose graphs.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Learning Fast Approximations of Sparse Coding.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Theoretical Analysis of Feature Pooling in Visual Recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Convolutional Learning of Spatio-temporal Features.
Proceedings of the Computer Vision - ECCV 2010, 2010

Learning mid-level features for recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A multirange architecture for collision-free off-road robot navigation.
J. Field Robotics, 2009

Learning long-range vision for autonomous off-road driving.
J. Field Robotics, 2009

Dynamic Factor Graphs for Time Series Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

EBLearn: Open-Source Energy-Based Learning in C++.
Proceedings of the ICTAI 2009, 2009

Efficient off-road localization using visually corrected odometry.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Workshop summary: Workshop on learning feature hierarchies.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

What is the best multi-stage architecture for object recognition?
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

CNP: An FPGA-based processor for Convolutional Networks.
Proceedings of the 19th International Conference on Field Programmable Logic and Applications, 2009

Learning invariant features through topographic filter maps.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Editorial.
International Journal of Computer Vision, 2008

Mapping and planning under uncertainty in mobile robots with long-range perception.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Deep belief net learning in a long-range vision system for autonomous off-road driving.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2007
Automatic recognition of biological particles in microscopic images.
Pattern Recognition Letters, 2007

The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007

A Unified Energy-Based Framework for Unsupervised Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Synergistic Face Detection and Pose Estimation with Energy-Based Models.
Journal of Machine Learning Research, 2007

Online Learning for Offroad Robots: Spatial Label Propagation to Learn Long-Range Traversability.
Proceedings of the Robotics: Science and Systems III, 2007

Sparse Feature Learning for Deep Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Discovering the hidden structure of house prices with a non-parametric latent manifold model.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Adaptive long range vision in unstructured terrain.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Energy-Based Models in Document Recognition and Computer Vision.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Time-Delay Neural Networks and Independent Component Analysis for EEG-Based Prediction of Epileptic Seizures Propagation.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Efficient Learning of Sparse Representations with an Energy-Based Model.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large-scale Learning with SVM and Convolutional for Generic Object Categorization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Dimensionality Reduction by Learning an Invariant Mapping.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Synergistic Face Detection and Pose Estimation with Energy-Based Models.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Toward Automatic Phenotyping of Developing Embryos From Videos.
IEEE Trans. Image Processing, 2005

Off-Road Obstacle Avoidance through End-to-End Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning a Similarity Metric Discriminatively, with Application to Face Verification.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Loss Functions for Discriminative Training of Energy-Based Models.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Synergistic Face Detection and Pose Estimation with Energy-Based Models.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Large Scale Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Efficient Conversion of Digital Documents to Multilayer Raster Formats.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

2000
Transformation invariance in pattern recognition: Tangent distance and propagation.
Int. J. Imaging Systems and Technology, 2000

1999
Object Recognition with Gradient-Based Learning.
Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Color Documents on the Web with DJVU.
Proceedings of the 1999 International Conference on Image Processing, 1999

DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

1998
Guest Editorial Applications Of Artificial Neural Networks To Image Processing.
IEEE Trans. Image Processing, 1998

Image and video coding-emerging standards and beyond.
IEEE Trans. Circuits Syst. Video Techn., 1998

High quality document image compression with "DjVu".
J. Electronic Imaging, 1998

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet.
Proceedings of the 6th Color and Imaging Conference, 1998

Browsing through High Quality Document Images with DjVu.
Proceedings of the IEEE Forum on Reasearch and Technology Advances in Digital Libraries, 1998

1997
Discriminative feature and model design for automatic speech recognition.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

On the Applications of Multimedia Processing to Telecommunications.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Reading checks with multilayer graph transformer networks.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Global Training of Document Processing Systems Using Graph Transformer Networks.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Effiicient BackProp.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

1995
LeRec: a NN/HMM hybrid for on-line handwriting recognition.
Neural Computation, 1995

1994
Measuring the VC-Dimension of a Learning Machine.
Neural Computation, 1994

Boosting and Other Ensemble Methods.
Neural Computation, 1994

Memory-based character recognition using a transformation invariant metric.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Word-level training of a handwritten word recognizer based on convolutional neural networks.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Comparison of classifier methods: a case study in handwritten digit recognition.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Word normalization for online handwritten word recognition.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Boosting and Other Machine Learning Algorithms.
Proceedings of the Machine Learning, 1994

1993
Off Line Recognition of Handwritten Postal Words Using Neural Networks.
IJPRAI, 1993

Signature Verification Using A "Siamese" Time Delay Neural Network.
IJPRAI, 1993

Signature Verification Using a Siamese Time Delay Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

On-line recognition of limited-vocabulary Chinese character using multiple convolutional neural networks.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

1992
Application of the ANNA neural network chip to high-speed character recognition.
IEEE Trans. Neural Networks, 1992

Improving generalization performance using double backpropagation.
IEEE Trans. Neural Networks, 1992

Hardware requirements for neural network pattern classifiers: a case study and implementation.
IEEE Micro, 1992

Reading Handwritten Digits: A ZIP Code Recognition System.
IEEE Computer, 1992

Efficient Pattern Recognition Using a New Transformation Distance.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Automatic Learning Rate Maximization in Large Adaptive Machines.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Design of a neural network character recognizer for a touch terminal.
Pattern Recognition, 1991

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Reverse TDNN: An Architecture For Trajectory Generation.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Multi-Digit Recognition Using a Space Displacement Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991


1990
Transforming Neural-Net Output Levels to Probability Distributions.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Second Order Properties of Error Surfaces.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Hardware requirements for neural-net optical character recognition.
Proceedings of the IJCNN 1990, 1990

1989
Backpropagation Applied to Handwritten Zip Code Recognition.
Neural Computation, 1989

Optimal Brain Damage.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

Handwritten Digit Recognition with a Back-Propagation Network.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1988
Using curvature information to improve back-propagation.
Neural Networks, 1988

GEMINI: Gradient Estimation Through Matrix Inversion After Noise Injection.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988


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