Patrice Y. Simard

63 papers A* 4A 10B 6Journal 17Unranked 24

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning. ACM Trans. Interact. Intell. Syst. Jina Suh, Soroush Ghorashi, Gonzalo A. Ramos, Nan-Chen Chen, Steven Mark Drucker, Johan Verwey, Patrice Y. Simard
2020	J	`jnl`	Interactive machine teaching: a human-centered approach to building machine-learned models. Hum. Comput. Interact. Gonzalo A. Ramos, Christopher Meek, Patrice Y. Simard, Jina Suh, Soroush Ghorashi
2018	A	`conf`	AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration. IUI Nan-Chen Chen, Jina Suh, Johan Verwey, Gonzalo A. Ramos, Steven Mark Drucker, Patrice Y. Simard
2017	J	`jnl`	Machine Teaching: A New Paradigm for Building Machine Learning Systems. CoRR 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
2016	J	`jnl`	Analysis of a Design Pattern for Teaching with Features and Labels. CoRR Christopher Meek, Patrice Y. Simard, Xiaojin Zhu
2016	J	`jnl`	Interactive Semantic Featuring for Text Classification. CoRR Camille Jandot, Patrice Y. Simard, Max Chickering, David Grangier, Jina Suh
2015	—	`conf`	FeatureInsight: Visual support for error-driven feature ideation in text classification. VAST Michael Brooks, Saleema Amershi, Bongshin Lee, Steven Mark Drucker, Ashish Kapoor, Patrice Y. Simard
2015	A*	`conf`	ModelTracker: Redesigning Performance Analysis Tools for Machine Learning. CHI Saleema Amershi, Max Chickering, Steven Mark Drucker, Bongshin Lee, Patrice Y. Simard, Jina Suh
2014	J	`jnl`	ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems. CoRR 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
2013	J	`jnl`	Counterfactual reasoning and learning systems: the example of computational advertising. J. Mach. Learn. Res. Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
2012	J	`jnl`	Counterfactual Reasoning and Learning Systems CoRR Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson
2012	—	`ch.`	Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade (2nd ed.) Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
2006	B	`conf`	Combining Multiple Classifiers for Faster Optical Character Recognition. Document Analysis Systems Kumar Chellapilla, Michael Shilman, Patrice Y. Simard
2006	A*	`conf`	CueTIP: a mixed-initiative interface for correcting handwriting errors. UIST Michael Shilman, Desney S. Tan, Patrice Y. Simard
2006	—	`conf`	Optimally combining a cascade of classifiers. DRR Kumar Chellapilla, Michael Shilman, Patrice Y. Simard
2005	A	`conf`	Boosting-based Transductive Learning for Text Detection. ICDAR David Bargeron, Paul A. Viola, Patrice Y. Simard
2005	—	`conf`	Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs). HIP Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
2005	—	`conf`	Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs). CEAS Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
2005	A*	`conf`	Designing human friendly human interaction proofs (HIPs). CHI Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski
2005	A	`conf`	Fast Optical Character Recognition through Glyph Hashing for Document Conversion. ICDAR Kumar Chellapilla, Patrice Y. Simard, Radoslav Nickolov
2005	A	`conf`	Ink Normalization and Beautification. ICDAR Patrice Y. Simard, David Steinkraus, Maneesh Agrawala
2005	A	`conf`	Text Recognition of Low-resolution Document Images. ICDAR Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker
2005	A	`conf`	Using GPUs for Machine Learning Algorithms. ICDAR Dave Steinkrau, Patrice Y. Simard, Ian Buck
2004	B	`conf`	A Foreground/Background Separation Algorithm for Image Compression. Data Compression Conference Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw
2004	—	`conf`	An efficient binary image activity detector based on connected components. ICASSP (3) Patrice Y. Simard, Henrique S. Malvar
2004	J	`jnl`	Estimation of the self-similarity parameter using the wavelet transform. Signal Process. Skander Soltani, Patrice Y. Simard, Daniel Boichu
2004	—	`conf`	Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). NIPS Kumar Chellapilla, Patrice Y. Simard
2003	A	`conf`	Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. ICDAR Patrice Y. Simard, David Steinkraus, John C. Platt
2003	B	`conf`	Can the sample being transmitted be used to refine its own PDF estimate? DCC Dinei A. F. Florêncio, Patrice Y. Simard
2003	A	`conf`	Discerning Structure from Freeform Handwritten Notes. ICDAR Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Y. Simard, David Jones
2003	—	`conf`	Image compression with on-line and off-line learning. ICIP (2) Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar
2003	A	`conf`	Using Character Recognition and Segmentation to Tell Computer from Humans. ICDAR Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, Iulian Calinov
2002	B	`conf`	On-Line Adaptation in Image Coding with a 2-D Tarp Filter. DCC Patrice Y. Simard, David Steinkraus, Henrique S. Malvar
2001	B	`conf`	A Wavelet Coder for Masked Images. Data Compression Conference Patrice Y. Simard, Henrique S. Malvar
2001	B	`conf`	Improving Wavelet Compression with Neural Networks. Data Compression Conference Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar
2001	A	`conf`	Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2001	A*	`conf`	Separating Appearance from Deformation. ICCV Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2000	J	`jnl`	The long-term memory prediction by multiscale decomposition. Signal Process. Skander Soltani, Daniel Boichu, Patrice Y. Simard, Stéphane Canu
2000	J	`jnl`	Transformation invariance in pattern recognition: Tangent distance and propagation. Int. J. Imaging Syst. Technol. Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1998	—	`conf`	Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS Patrice Y. Simard, Léon Bottou, Patrick Haffner, Yann LeCun
1998	—	`conf`	Browsing through High Quality Document Images with DjVu. ADL Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
1998	J	`jnl`	High quality document image compression with "DjVu". J. Electronic Imaging Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Y. Simard, Yoshua Bengio, Yann LeCun
1998	J	`jnl`	La méthode de Higuchi pour la dimension fractale. Signal Process. E. Le Tavernier, Patrice Y. Simard, M. Bulo, Daniel Boichu
1997	—	`conf`	Prior Knowledge in Support Vector Kernels. NIPS Bernhard Schölkopf, Patrice Y. Simard, Alexander J. Smola, Vladimir Vapnik
1996	—	`ch.`	Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1994	—	`conf`	Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) 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
1994	—	`conf`	Learning Prototype Models for Tangent Distance. NIPS Trevor Hastie, Patrice Y. Simard
1994	J	`jnl`	Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi
1994	—	`conf`	Memory-based character recognition using a transformation invariant metric. ICPR (2) Patrice Y. Simard, Yann LeCun, John S. Denker
1993	—	`conf`	Backpropagation without Multiplication. NIPS Patrice Y. Simard, Hans Peter Graf
1993	J	`jnl`	Boosting Performance in Neural Networks. Int. J. Pattern Recognit. Artif. Intell. Harris Drucker, Robert E. Schapire, Patrice Y. Simard
1993	—	`conf`	Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. NIPS Patrice Y. Simard
1993	—	`conf`	The problem of learning long-term dependencies in recurrent networks. ICNN Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard
1992	—	`conf`	An efficient algorithm for learning invariance in adaptive classifiers. ICPR (2) Patrice Y. Simard, Yann LeCun, John S. Denker, Bernard Victorri
1992	—	`conf`	Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS Yann LeCun, Patrice Y. Simard, Barak A. Pearlmutter
1992	—	`conf`	Efficient Pattern Recognition Using a New Transformation Distance. NIPS Patrice Y. Simard, Yann LeCun, John S. Denker
1992	—	`conf`	Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS Harris Drucker, Robert E. Schapire, Patrice Y. Simard
1991	—	`conf`	Reverse TDNN: An Architecture For Trajectory Generation. NIPS Patrice Y. Simard, Yann LeCun
1991	—	`conf`	Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS Patrice Y. Simard, Bernard Victorri, Yann LeCun, John S. Denker
1990	—	`conf`	Shaping the State Space Landscape in Recurrent Networks. NIPS Patrice Y. Simard, Jean Pierre Raysz, Bernard Victorri
1990	J	`jnl`	Vector field restoration by the method of convex projections. Comput. Vis. Graph. Image Process. Patrice Y. Simard, Guy E. Mailloux
1988	J	`jnl`	A Projection Operator for the Restoration of Divergence-Free Vector Fields. IEEE Trans. Pattern Anal. Mach. Intell. Patrice Y. Simard, Guy E. Mailloux
1988	—	`conf`	Fixed Point Analysis for Recurrent Networks. NIPS Patrice Y. Simard, Mary B. Ottaway, Dana H. Ballard