Patrice Y. Simard

According to our database, Patrice Y. Simard authored at least 63 papers between 1988 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning.

Jina Suh, Soroush Ghorashi, Gonzalo A. Ramos, Nan-Chen Chen, Steven Mark Drucker, Johan Verwey, Patrice Y. Simard

ACM Trans. Interact. Intell. Syst., 2020

Interactive machine teaching: a human-centered approach to building machine-learned models.

Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi

Hum. Comput. Interact., 2020

2018

AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration.

Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo A. Ramos, Steven Mark Drucker, Patrice Y. Simard

Proceedings of the 23rd International Conference on Intelligent User Interfaces, 2018

2017

Machine Teaching: A New Paradigm for Building Machine Learning Systems.

Patrice Y. Simard, Saleema Amershi, David Maxwell Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo A. Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing

CoRR, 2017

2016

Analysis of a Design Pattern for Teaching with Features and Labels.

Christopher Meek, Patrice Y. Simard, Xiaojin Zhu

CoRR, 2016

Interactive Semantic Featuring for Text Classification.

Camille Jandot, Patrice Y. Simard, Max Chickering, David Grangier, Jina Suh

CoRR, 2016

2015

FeatureInsight: Visual support for error-driven feature ideation in text classification.

Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning.

Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems.

Patrice Y. Simard, David Maxwell Chickering, Aparna Lakshmiratan, Denis Xavier Charles, Léon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh

CoRR, 2014

2013

Counterfactual reasoning and learning systems: the example of computational advertising.

Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson

J. Mach. Learn. Res., 2013

2012

Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation.

Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri

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

Counterfactual Reasoning and Learning Systems

Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson

CoRR, 2012

2006

CueTIP: a mixed-initiative interface for correcting handwriting errors.

Michael Shilman, Desney S. Tan, Patrice Y. Simard

Proceedings of the 19th Annual ACM Symposium on User Interface Software and Technology, 2006

Optimally combining a cascade of classifiers.

Kumar Chellapilla, Michael Shilman, Patrice Y. Simard

Proceedings of the Document Recognition and Retrieval XIII, 2006

Combining Multiple Classifiers for Faster Optical Character Recognition.

Kumar Chellapilla, Michael Shilman, Patrice Y. Simard

Proceedings of the Document Analysis Systems VII, 7th International Workshop, 2006

2005

Using GPUs for Machine Learning Algorithms.

Dave Steinkrau, Patrice Y. Simard, Ian Buck

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Ink Normalization and Beautification.

Patrice Y. Simard, David Steinkraus, Maneesh Agrawala

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Text Recognition of Low-resolution Document Images.

Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Fast Optical Character Recognition through Glyph Hashing for Document Conversion.

Kumar Chellapilla, Patrice Y. Simard, Radoslav Nickolov

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Boosting-based Transductive Learning for Text Detection.

David Bargeron, Paul A. Viola, Patrice Y. Simard

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs).

Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski

Proceedings of the Human Interactive Proofs, Second International Workshop, 2005

Designing human friendly human interaction proofs (HIPs).

Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski

Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs).

Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski

Proceedings of the CEAS 2005, 2005

2004

Estimation of the self-similarity parameter using the wavelet transform.

Skander Soltani, Patrice Y. Simard, Daniel Boichu

Signal Process., 2004

Using Machine Learning to Break Visual Human Interaction Proofs (HIPs).

Kumar Chellapilla, Patrice Y. Simard

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

An efficient binary image activity detector based on connected components.

Patrice Y. Simard, Henrique S. Malvar

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A Foreground/Background Separation Algorithm for Image Compression.

Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw

Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

2003

Image compression with on-line and off-line learning.

Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar

Proceedings of the 2003 International Conference on Image Processing, 2003

Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis.

Patrice Y. Simard, David Steinkraus, John C. Platt

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Using Character Recognition and Segmentation to Tell Computer from Humans.

Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, Iulian Calinov

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Discerning Structure from Freeform Handwritten Notes.

Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Y. Simard, David Jones

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Can the sample being transmitted be used to refine its own PDF estimate?

Dinei A. F. Florêncio, Patrice Y. Simard

Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

2002

On-Line Adaptation in Image Coding with a 2-D Tarp Filter.

Patrice Y. Simard, David Steinkraus, Henrique S. Malvar

Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002

2001

Separating Appearance from Deformation.

Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

A Wavelet Coder for Masked Images.

Patrice Y. Simard, Henrique S. Malvar

Proceedings of the Data Compression Conference, 2001

Improving Wavelet Compression with Neural Networks.

Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar

Proceedings of the Data Compression Conference, 2001

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching.

Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

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

2000

The long-term memory prediction by multiscale decomposition.

Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu

Signal Process., 2000

Transformation invariance in pattern recognition: Tangent distance and propagation.

Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri

Int. J. Imaging Syst. Technol., 2000

1998

La méthode de Higuchi pour la dimension fractale.

E. Le Tavernier, Patrice Y. Simard, M. Bulo, Daniel Boichu

Signal Process., 1998

High quality document image compression with "DjVu".

Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun

J. Electronic Imaging, 1998

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks.

Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun

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

Browsing through High Quality Document Images with DjVu.

Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun

Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1998

1997

Prior Knowledge in Support Vector Kernels.

Bernhard Schölkopf, Patrice Y. Simard, Alexander J. Smola, Vladimir Vapnik

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

1996

Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation.

Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri

Proceedings of the Neural Networks: Tricks of the Trade, 1996

1994

Learning long-term dependencies with gradient descent is difficult.

Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi

IEEE Trans. Neural Networks, 1994

Learning Prototype Models for Tangent Distance.

Trevor Hastie, Patrice Y. Simard

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

Memory-based character recognition using a transformation invariant metric.

Patrice Y. Simard, Yann LeCun, John S. Denker

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Comparison of classifier methods: a case study in handwritten digit recognition.

Léon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Müller, Eduard Säckinger, Patrice Y. Simard, Vladimir Vapnik

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993

Boosting Performance in Neural Networks.

Harris Drucker, Robert E. Schapire, Patrice Y. Simard

Int. J. Pattern Recognit. Artif. Intell., 1993

Backpropagation without Multiplication.

Patrice Y. Simard, Hans Peter Graf

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

Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering.

Patrice Y. Simard

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

The problem of learning long-term dependencies in recurrent networks.

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Efficient Pattern Recognition Using a New Transformation Distance.

Patrice Y. Simard, Yann LeCun, John S. Denker

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

Improving Performance in Neural Networks Using a Boosting Algorithm.

Harris Drucker, Robert E. Schapire, Patrice Y. Simard

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.

Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter

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

An efficient algorithm for learning invariance in adaptive classifiers.

Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri

Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network.

Patrice Y. Simard, Bernard Victorri, Yann LeCun, John S. Denker

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

Reverse TDNN: An Architecture For Trajectory Generation.

Patrice Y. Simard, Yann LeCun

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

1990

Vector field restoration by the method of convex projections.

Patrice Y. Simard, Guy E. Mailloux

Comput. Vis. Graph. Image Process., 1990

Shaping the State Space Landscape in Recurrent Networks.

Patrice Y. Simard, Jean Pierre Raysz, Bernard Victorri

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

1988

A Projection Operator for the Restoration of Divergence-Free Vector Fields.

Patrice Y. Simard, Guy E. Mailloux

IEEE Trans. Pattern Anal. Mach. Intell., 1988

Fixed Point Analysis for Recurrent Networks.

Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard

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