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ORCIDPatrice Y. Simard
Person information
- affiliation: Microsoft Research, Redmond
- affiliation: AT&T Bell Laboratories
- affiliation: University of Rochester, Department of Computer Science
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Journal Articles
- 2020
[j12]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): 413-451 (2020)- [j11]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): 7:1-7:38 (2020) - 2013
- [j10]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): 3207-3260 (2013) - 2004
- [j9]Skander Soltani, Patrice Y. Simard, Daniel Boichu:
Estimation of the self-similarity parameter using the wavelet transform. Signal Process. 84(1): 117-123 (2004) - 2000
- [j8]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): 181-197 (2000) - [j7]Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu:
The long-term memory prediction by multiscale decomposition. Signal Process. 80(10): 2195-2205 (2000) - 1998
- [j6]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): 410-425 (1998) - [j5]E. Le Tavernier, Patrice Y. Simard, M. Bulo, Daniel Boichu:
La méthode de Higuchi pour la dimension fractale. Signal Process. 65(1): 115-128 (1998) - 1994
- [j4]Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi:
Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks 5(2): 157-166 (1994) - 1993
- [j3]Harris Drucker, Robert E. Schapire, Patrice Y. Simard:
Boosting Performance in Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 7(4): 705-719 (1993) - 1990
- [j2]Patrice Y. Simard, Guy E. Mailloux:
Vector field restoration by the method of convex projections. Comput. Vis. Graph. Image Process. 52(3): 360-385 (1990) - 1988
- [j1]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): 248-256 (1988)
Conference and Workshop Papers
- 2018
- [c44]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: 269-280 - 2015
- [c43]Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh:
ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. CHI 2015: 337-346 - [c42]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: 105-112 - 2006
- [c41]Kumar Chellapilla, Michael Shilman, Patrice Y. Simard:
Combining Multiple Classifiers for Faster Optical Character Recognition. Document Analysis Systems 2006: 358-367 - [c40]Kumar Chellapilla, Michael Shilman, Patrice Y. Simard:
Optimally combining a cascade of classifiers. DRR 2006: 60670Q - [c39]Michael Shilman, Desney S. Tan, Patrice Y. Simard:
CueTIP: a mixed-initiative interface for correcting handwriting errors. UIST 2006: 323-332 - 2005
- [c38]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 - [c37]Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski:
Designing human friendly human interaction proofs (HIPs). CHI 2005: 711-720 - [c36]Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski:
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs). HIP 2005: 1-26 - [c35]Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker:
Text Recognition of Low-resolution Document Images. ICDAR 2005: 695-699 - [c34]Kumar Chellapilla, Patrice Y. Simard, Radoslav Nickolov:
Fast Optical Character Recognition through Glyph Hashing for Document Conversion. ICDAR 2005: 829-834 - [c33]Dave Steinkrau, Patrice Y. Simard, Ian Buck:
Using GPUs for Machine Learning Algorithms. ICDAR 2005: 1115-1119 - [c32]David Bargeron, Paul A. Viola, Patrice Y. Simard:
Boosting-based Transductive Learning for Text Detection. ICDAR 2005: 1166-1171 - [c31]Patrice Y. Simard, David Steinkraus, Maneesh Agrawala:
Ink Normalization and Beautification. ICDAR 2005: 1182-1187 - 2004
- [c30]Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw:
A Foreground/Background Separation Algorithm for Image Compression. Data Compression Conference 2004: 498-507 - [c29]Patrice Y. Simard, Henrique S. Malvar:
An efficient binary image activity detector based on connected components. ICASSP (3) 2004: 229-232 - [c28]Kumar Chellapilla, Patrice Y. Simard:
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). NIPS 2004: 265-272 - 2003
- [c27]Dinei A. F. Florêncio, Patrice Y. Simard:
Can the sample being transmitted be used to refine its own PDF estimate? DCC 2003: 233-242 - [c26]Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Y. Simard, David Jones:
Discerning Structure from Freeform Handwritten Notes. ICDAR 2003: 60-65 - [c25]Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, Iulian Calinov:
Using Character Recognition and Segmentation to Tell Computer from Humans. ICDAR 2003: 418-423 - [c24]Patrice Y. Simard, David Steinkraus, John C. Platt:
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. ICDAR 2003: 958-962 - [c23]Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar:
Image compression with on-line and off-line learning. ICIP (2) 2003: 259-262 - 2002
- [c22]Patrice Y. Simard, David Steinkraus, Henrique S. Malvar:
On-Line Adaptation in Image Coding with a 2-D Tarp Filter. DCC 2002: 23-32 - 2001
- [c21]Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman:
Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS 2001: 137-142 - [c20]Patrice Y. Simard, Henrique S. Malvar:
A Wavelet Coder for Masked Images. Data Compression Conference 2001: 93-102 - [c19]Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar:
Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486 - [c18]Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman:
Separating Appearance from Deformation. ICCV 2001: 288-294 - 1998
- [c17]Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun:
Browsing through High Quality Document Images with DjVu. ADL 1998: 309-318 - [c16]Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun:
Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS 1998: 571-577 - 1997
- [c15]Bernhard Schölkopf, Patrice Y. Simard, Alexander J. Smola, Vladimir Vapnik:
Prior Knowledge in Support Vector Kernels. NIPS 1997: 640-646 - 1994
- [c14]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: 77-82 - [c13]Patrice Y. Simard, Yann LeCun, John S. Denker:
Memory-based character recognition using a transformation invariant metric. ICPR (2) 1994: 262-267 - [c12]Trevor Hastie, Patrice Y. Simard:
Learning Prototype Models for Tangent Distance. NIPS 1994: 999-1006 - 1993
- [c11]Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard:
The problem of learning long-term dependencies in recurrent networks. ICNN 1993: 1183-1188 - [c10]Patrice Y. Simard:
Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. NIPS 1993: 168-175 - [c9]Patrice Y. Simard, Hans Peter Graf:
Backpropagation without Multiplication. NIPS 1993: 232-239 - 1992
- [c8]Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri:
An efficient algorithm for learning invariance in adaptive classifiers. ICPR (2) 1992: 651-655 - [c7]Harris Drucker, Robert E. Schapire, Patrice Y. Simard:
Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS 1992: 42-49 - [c6]Patrice Y. Simard, Yann LeCun, John S. Denker:
Efficient Pattern Recognition Using a New Transformation Distance. NIPS 1992: 50-58 - [c5]Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter:
Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163 - 1991
- [c4]Patrice Y. Simard, Yann LeCun:
Reverse TDNN: An Architecture For Trajectory Generation. NIPS 1991: 579-588 - [c3]Patrice Y. Simard, Bernard Victorri, Yann LeCun, John S. Denker:
Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS 1991: 895-903 - 1990
- [c2]Patrice Y. Simard, Jean Pierre Raysz, Bernard Victorri:
Shaping the State Space Landscape in Recurrent Networks. NIPS 1990: 105-112 - 1988
- [c1]Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard:
Fixed Point Analysis for Recurrent Networks. NIPS 1988: 149-159
Parts in Books or Collections
- 2012
- [p2]Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri:
Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 235-269 - 1996
- [p1]Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri:
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade 1996: 239-27
Informal and Other Publications
- 2017
- [i5]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 abs/1707.06742 (2017) - 2016
- [i4]Camille Jandot, Patrice Y. Simard, Max Chickering, David Grangier, Jina Suh:
Interactive Semantic Featuring for Text Classification. CoRR abs/1606.07545 (2016) - [i3]Christopher Meek, Patrice Y. Simard, Xiaojin Zhu:
Analysis of a Design Pattern for Teaching with Features and Labels. CoRR abs/1611.05950 (2016) - 2014
- [i2]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 abs/1409.4814 (2014) - 2012
- [i1]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 abs/1209.2355 (2012)
Coauthor Index
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