Patrice Y. Simard

Publication Activity (10 Years)

Years Active: 1988-2020
Publications (10 Years): 8

Top Topics

Learning Systems

Semantic Video Retrieval

Data Exploration

Text Classification

Top Venues

Hum. Comput. Interact.

J. Mach. Learn. Res.

Publications

Jina Suh, Soroush Ghorashi, Gonzalo A. Ramos, Nan-Chen Chen, Steven Mark Drucker, Johan Verwey, Patrice Y. Simard
AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning. ACM Trans. Interact. Intell. Syst. 10 (1) (2020)
Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi
Interactive machine teaching: a human-centered approach to building machine-learned models. Hum. Comput. Interact. 35 (5-6) (2020)
Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo A. Ramos, Steven Mark Drucker, Patrice Y. Simard
AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration. IUI (2018)
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
Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR (2017)
Christopher Meek, Patrice Y. Simard, Xiaojin Zhu
Analysis of a Design Pattern for Teaching with Features and Labels. CoRR (2016)
Camille Jandot, Patrice Y. Simard, Max Chickering, David Grangier, Jina Suh
Interactive Semantic Featuring for Text Classification. CoRR (2016)
Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard
FeatureInsight: Visual support for error-driven feature ideation in text classification. VAST (2015)
Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. CHI (2015)
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
ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR (2014)
Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
Counterfactual reasoning and learning systems: the example of computational advertising. J. Mach. Learn. Res. 14 (1) (2013)
Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
Counterfactual Reasoning and Learning Systems CoRR (2012)
Kumar Chellapilla, Michael Shilman, Patrice Y. Simard
Optimally combining a cascade of classifiers. DRR (2006)
Kumar Chellapilla, Michael Shilman, Patrice Y. Simard
Combining Multiple Classifiers for Faster Optical Character Recognition. Document Analysis Systems (2006)
Michael Shilman, Desney S. Tan, Patrice Y. Simard
CueTIP: a mixed-initiative interface for correcting handwriting errors. UIST (2006)
Patrice Y. Simard, David Steinkraus, Maneesh Agrawala
Ink Normalization and Beautification. ICDAR (2005)
Dave Steinkrau, Patrice Y. Simard, Ian Buck
Using GPUs for Machine Learning Algorithms. ICDAR (2005)
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
Designing human friendly human interaction proofs (HIPs). CHI (2005)
Kumar Chellapilla, Patrice Y. Simard, Radoslav Nickolov
Fast Optical Character Recognition through Glyph Hashing for Document Conversion. ICDAR (2005)
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs). HIP (2005)
David Bargeron, Paul A. Viola, Patrice Y. Simard
Boosting-based Transductive Learning for Text Detection. ICDAR (2005)
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs). CEAS (2005)
Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker
Text Recognition of Low-resolution Document Images. ICDAR (2005)
Kumar Chellapilla, Patrice Y. Simard
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). NIPS (2004)
Skander Soltani, Patrice Y. Simard, Daniel Boichu
Estimation of the self-similarity parameter using the wavelet transform. Signal Process. 84 (1) (2004)
Patrice Y. Simard, Henrique S. Malvar
An efficient binary image activity detector based on connected components. ICASSP (3) (2004)
Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw
A Foreground/Background Separation Algorithm for Image Compression. Data Compression Conference (2004)
Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, Iulian Calinov
Using Character Recognition and Segmentation to Tell Computer from Humans. ICDAR (2003)
Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Y. Simard, David Jones
Discerning Structure from Freeform Handwritten Notes. ICDAR (2003)
Dinei A. F. Florêncio, Patrice Y. Simard
Can the sample being transmitted be used to refine its own PDF estimate? DCC (2003)
Patrice Y. Simard, David Steinkraus, John C. Platt
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. ICDAR (2003)
Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar
Image compression with on-line and off-line learning. ICIP (2) (2003)
Patrice Y. Simard, David Steinkraus, Henrique S. Malvar
On-Line Adaptation in Image Coding with a 2-D Tarp Filter. DCC (2002)
Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS (2001)
Patrice Y. Simard, Henrique S. Malvar
A Wavelet Coder for Masked Images. Data Compression Conference (2001)
Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar
Improving Wavelet Compression with Neural Networks. Data Compression Conference (2001)
Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
Separating Appearance from Deformation. ICCV (2001)
Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
Transformation invariance in pattern recognition: Tangent distance and propagation. Int. J. Imaging Syst. Technol. 11 (3) (2000)
Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu
The long-term memory prediction by multiscale decomposition. Signal Process. 80 (10) (2000)
Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
Browsing through High Quality Document Images with DjVu. ADL (1998)
Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS (1998)
Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
High quality document image compression with "DjVu". J. Electronic Imaging 7 (3) (1998)
E. Le Tavernier, Patrice Y. Simard, M. Bulo, Daniel Boichu
La méthode de Higuchi pour la dimension fractale. Signal Process. 65 (1) (1998)
Bernhard Schölkopf, Patrice Y. Simard, Alexander J. Smola, Vladimir Vapnik
Prior Knowledge in Support Vector Kernels. NIPS (1997)
Trevor Hastie, Patrice Y. Simard
Learning Prototype Models for Tangent Distance. NIPS (1994)
Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi
Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks 5 (2) (1994)
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
Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) (1994)
Patrice Y. Simard, Yann LeCun, John S. Denker
Memory-based character recognition using a transformation invariant metric. ICPR (2) (1994)
Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard
The problem of learning long-term dependencies in recurrent networks. ICNN (1993)
Patrice Y. Simard, Hans Peter Graf
Backpropagation without Multiplication. NIPS (1993)
Patrice Y. Simard
Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. NIPS (1993)
Harris Drucker, Robert E. Schapire, Patrice Y. Simard
Boosting Performance in Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 7 (4) (1993)
Harris Drucker, Robert E. Schapire, Patrice Y. Simard
Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS (1992)
Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
An efficient algorithm for learning invariance in adaptive classifiers. ICPR (2) (1992)
Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter
Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS (1992)
Patrice Y. Simard, Yann LeCun, John S. Denker
Efficient Pattern Recognition Using a New Transformation Distance. NIPS (1992)
Patrice Y. Simard, Yann LeCun
Reverse TDNN: An Architecture For Trajectory Generation. NIPS (1991)
Patrice Y. Simard, Bernard Victorri, Yann LeCun, John S. Denker
Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS (1991)
Patrice Y. Simard, Jean Pierre Raysz, Bernard Victorri
Shaping the State Space Landscape in Recurrent Networks. NIPS (1990)
Patrice Y. Simard, Guy E. Mailloux
Vector field restoration by the method of convex projections. Comput. Vis. Graph. Image Process. 52 (3) (1990)
Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard
Fixed Point Analysis for Recurrent Networks. NIPS (1988)
Patrice Y. Simard, Guy E. Mailloux
A Projection Operator for the Restoration of Divergence-Free Vector Fields. IEEE Trans. Pattern Anal. Mach. Intell. 10 (2) (1988)