Léon Bottou - RankMe

147 papers A* 27A 7B 5Misc 1Journal 70Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Single Character can Make or Break Your LLM Evals. CoRR Jingtong Su, Jianyu Zhang, Karen Ullrich, Léon Bottou, Mark Ibrahim
2025	A*	`conf`	MagicPIG: LSH Sampling for Efficient LLM Generation. ICLR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2025	J	`jnl`	Memory Mosaics at scale. CoRR Jianyu Zhang, Léon Bottou
2025	A*	`conf`	Memory Mosaics. ICLR Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
2025	J	`jnl`	These Are Not All the Features You Are Looking For: A Fundamental Bottleneck in Supervised Pretraining. CoRR Xingyu Alice Yang, Jianyu Zhang, Léon Bottou
2024	J	`jnl`	Fine-tuning with Very Large Dropout. CoRR Jianyu Zhang, Léon Bottou
2024	J	`jnl`	MagicPIG: LSH Sampling for Efficient LLM Generation. CoRR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2024	J	`jnl`	Memory Mosaics. CoRR Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Léon Bottou
2023	A*	`conf`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. ICCV Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	J	`jnl`	Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. CoRR Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero
2023	A*	`conf`	Birth of a Transformer: A Memory Viewpoint. NeurIPS Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
2023	J	`jnl`	Birth of a Transformer: A Memory Viewpoint. CoRR Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Hervé Jégou, Léon Bottou
2023	J	`jnl`	Borges and AI. CoRR Léon Bottou, Bernhard Schölkopf
2023	A*	`conf`	Learning useful representations for shifting tasks and distributions. ICML Jianyu Zhang, Léon Bottou
2023	A*	`conf`	Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization. ICML Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
2022	J	`jnl`	A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
2022	J	`jnl`	A scaling calculus for the design and initialization of ReLU networks. Neural Comput. Appl. Aaron Defazio, Léon Bottou
2022	J	`jnl`	Learning useful representations for shifting tasks and distributions. CoRR Jianyu Zhang, Léon Bottou
2022	A	`conf`	On Distributionally Robust Optimization and Data Rebalancing. AISTATS Agnieszka Slowik, Léon Bottou
2022	A*	`conf`	On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). AAAI Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik
2022	J	`jnl`	Recycling diverse models for out-of-distribution generalization. CoRR Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz
2022	A*	`conf`	Rich Feature Construction for the Optimization-Generalization Dilemma. ICML Jianyu Zhang, David Lopez-Paz, Léon Bottou
2022	J	`jnl`	Rich Feature Construction for the Optimization-Generalization Dilemma. CoRR Jianyu Zhang, David Lopez-Paz, Léon Bottou
2022	A*	`conf`	The Effects of Regularization and Data Augmentation are Class Dependent. NeurIPS Randall Balestriero, Léon Bottou, Yann LeCun
2022	J	`jnl`	The Effects of Regularization and Data Augmentation are Class Dependent. CoRR Randall Balestriero, Léon Bottou, Yann LeCun
2021	J	`jnl`	Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. CoRR Agnieszka Slowik, Léon Bottou
2021	J	`jnl`	An Attract-Repel Decomposition of Undirected Networks. CoRR Alexander Peysakhovich, Léon Bottou
2021	J	`jnl`	Linear unit-tests for invariance discovery. CoRR Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz
2020	—	`conf`	Learning Representations Using Causal Invariance. EGC Léon Bottou
2020	J	`jnl`	On the Convergence of Adam and Adagrad. CoRR Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
2020	A*	`conf`	Symplectic Recurrent Neural Networks. ICLR Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2019	A*	`conf`	AdaGrad stepsizes: sharp convergence over nonconvex landscapes. ICML Rachel A. Ward, Xiaoxia Wu, Léon Bottou
2019	A*	`conf`	Cold Case: The Lost MNIST Digits. NeurIPS Chhavi Yadav, Léon Bottou
2019	J	`jnl`	Cold Case: The Lost MNIST Digits. CoRR Chhavi Yadav, Léon Bottou
2019	J	`jnl`	Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
2019	A*	`conf`	First-Order Adversarial Vulnerability of Neural Networks and Input Dimension. ICML Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz
2019	J	`jnl`	Invariant Risk Minimization. CoRR Martín Arjovsky, Léon Bottou, Ishaan Gulrajani, David Lopez-Paz
2019	J	`jnl`	Music Source Separation in the Waveform Domain. CoRR Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
2019	A*	`conf`	On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. NeurIPS Aaron Defazio, Léon Bottou
2019	J	`jnl`	Scaling Laws for the Principled Design, Initialization and Preconditioning of ReLU Networks. CoRR Aaron Defazio, Léon Bottou
2019	J	`jnl`	Symplectic Recurrent Neural Networks. CoRR Zhengdao Chen, Jianyu Zhang, Martín Arjovsky, Léon Bottou
2018	J	`jnl`	AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization. CoRR Rachel A. Ward, Xiaoxia Wu, Léon Bottou
2018	J	`jnl`	Adversarial Vulnerability of Neural Networks Increases With Input Dimension. CoRR Carl-Johann Simon-Gabriel, Yann Ollivier, Bernhard Schölkopf, Léon Bottou, David Lopez-Paz
2018	J	`jnl`	An efficient distributed learning algorithm based on effective local functional approximations. J. Mach. Learn. Res. Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi, Sundararajan Sellamanickam, Léon Bottou
2018	J	`jnl`	Controlling Covariate Shift using Equilibrium Normalization of Weights. CoRR Aaron Defazio, Léon Bottou
2018	—	`conf`	Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. ICLR (Workshop) Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou
2018	J	`jnl`	On the Ineffectiveness of Variance Reduced Optimization for Deep Learning. CoRR Aaron Defazio, Léon Bottou
2018	J	`jnl`	Optimization Methods for Large-Scale Machine Learning. SIAM Rev. Léon Bottou, Frank E. Curtis, Jorge Nocedal
2018	A*	`conf`	SING: Symbol-to-Instrument Neural Generator. NeurIPS Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
2018	J	`jnl`	SING: Symbol-to-Instrument Neural Generator. CoRR Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
2018	J	`jnl`	WNGrad: Learn the Learning Rate in Gradient Descent. CoRR Xiaoxia Wu, Rachel A. Ward, Léon Bottou
2017	J	`jnl`	Diagonal Rescaling For Neural Networks. CoRR Jean Lafond, Nicolas Vasilache, Léon Bottou
2017	A*	`conf`	Discovering Causal Signals in Images. CVPR David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
2017	J	`jnl`	Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. CoRR Levent Sagun, Utku Evci, V. Ugur Güney, Yann N. Dauphin, Léon Bottou
2017	—	`conf`	Geometrical Insights for Implicit Generative Modeling. Braverman Readings in Machine Learning Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
2017	J	`jnl`	Geometrical Insights for Implicit Generative Modeling. CoRR Léon Bottou, Martín Arjovsky, David Lopez-Paz, Maxime Oquab
2017	—	`conf`	Towards Principled Methods for Training Generative Adversarial Networks. ICLR Martín Arjovsky, Léon Bottou
2017	J	`jnl`	Towards Principled Methods for Training Generative Adversarial Networks. CoRR Martín Arjovsky, Léon Bottou
2017	J	`jnl`	Wasserstein GAN. CoRR Martín Arjovsky, Soumith Chintala, Léon Bottou
2017	A*	`conf`	Wasserstein Generative Adversarial Networks. ICML Martín Arjovsky, Soumith Chintala, Léon Bottou
2016	J	`jnl`	Discovering Causal Signals in Images. CoRR David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
2016	A	`conf`	No Regret Bound for Extreme Bandits. AISTATS Robert Nishihara, David Lopez-Paz, Léon Bottou
2016	J	`jnl`	Optimization Methods for Large-Scale Machine Learning. CoRR Léon Bottou, Frank E. Curtis, Jorge Nocedal
2016	J	`jnl`	Singularity of the Hessian in Deep Learning. CoRR Levent Sagun, Léon Bottou, Yann LeCun
2016	A*	`conf`	Unifying distillation and privileged information. ICLR (Poster) David Lopez-Paz, Léon Bottou, Bernhard Schölkopf, Vladimir Vapnik
2015	A*	`conf`	A Lower Bound for the Optimization of Finite Sums. ICML Alekh Agarwal, Léon Bottou
2015	—	`conf`	How big data changes statistical machine learning. IEEE BigData Léon Bottou
2015	A*	`conf`	Is object localization for free? - Weakly-supervised learning with convolutional neural networks. CVPR Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
2015	J	`jnl`	No Regret Bound for Extreme Bandits. CoRR Robert Nishihara, David Lopez-Paz, Léon Bottou
2014	J	`jnl`	From machine learning to machine reasoning - An essay. Mach. Learn. Léon Bottou
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
2014	J	`jnl`	Introduction to the special issue on learning semantics. Mach. Learn. Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer
2014	A*	`conf`	Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics. EMNLP Douwe Kiela, Léon Bottou
2014	A*	`conf`	Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. CVPR Maxime Oquab, Léon Bottou, Ivan Laptev, Josef Sivic
2013	J	`jnl`	A Functional Approximation Based Distributed Learning Algorithm. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013	J	`jnl`	A Parallel SGD method with Strong Convergence. CoRR Dhruv Mahajan, S. Sathiya Keerthi, S. Sundararajan, Léon Bottou
2013	—	`ed.`	Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. NIPS Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger
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
2013	—	`conf`	In Hindsight: Doklady Akademii Nauk SSSR, 181(4), 1968. Empirical Inference Léon Bottou
2013	J	`jnl`	Para-active learning. CoRR Alekh Agarwal, Léon Bottou, Miroslav Dudík, John Langford
2012	—	`ed.`	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. NIPS Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger
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.`	Efficient BackProp. Neural Networks: Tricks of the Trade (2nd ed.) Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
2012	—	`ch.`	Stochastic Gradient Descent Tricks. Neural Networks: Tricks of the Trade (2nd ed.) Léon Bottou
2011	J	`jnl`	Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol. Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou
2011	J	`jnl`	From Machine Learning to Machine Reasoning CoRR Léon Bottou
2011	J	`jnl`	Natural Language Processing (Almost) from Scratch. J. Mach. Learn. Res. Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
2011	J	`jnl`	Natural Language Processing (almost) from Scratch CoRR Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel P. Kuksa
2011	J	`jnl`	Nonconvex Online Support Vector Machines. IEEE Trans. Pattern Anal. Mach. Intell. Seyda Ertekin, Léon Bottou, C. Lee Giles
2010	J	`jnl`	Erratum: SGDQN is Less Careful than Expected. J. Mach. Learn. Res. Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan D. Chang, S. Alex Smith
2010	A	`conf`	Guarantees for Approximate Incremental SVMs. AISTATS Nicolas Usunier, Antoine Bordes, Léon Bottou
2010	J	`jnl`	L'apprentissage statistique à grande échelle. Monde des Util. Anal. Données Léon Bottou, Olivier Bousquet
2010	—	`conf`	Large-Scale Machine Learning with Stochastic Gradient Descent. COMPSTAT Léon Bottou
2009	—	`ed.`	Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 NIPS Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou
2009	A*	`ed.`	Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009 ICML Andrea Pohoreckyj Danyluk, Léon Bottou, Michael L. Littman
2009	J	`jnl`	SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent. J. Mach. Learn. Res. Antoine Bordes, Léon Bottou, Patrick Gallinari
2008	—	`conf`	Sequence Labelling SVMs Trained in One Pass. ECML/PKDD (1) Antoine Bordes, Nicolas Usunier, Léon Bottou
2007	A	`conf`	Learning on the border: active learning in imbalanced data classification. CIKM Seyda Ertekin, Jian Huang, Léon Bottou, C. Lee Giles
2007	—	`conf`	Learning using Large Datasets. NATO ASI Mining Massive Data Sets for Security Léon Bottou, Olivier Bousquet
2007	A*	`conf`	Solving multiclass support vector machines with LaRank. ICML Antoine Bordes, Léon Bottou, Patrick Gallinari, Jason Weston
2007	J	`jnl`	The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson
2007	—	`conf`	The Tradeoffs of Large Scale Learning. NIPS Léon Bottou, Olivier Bousquet
2006	A*	`conf`	Inference with the Universum. ICML Jason Weston, Ronan Collobert, Fabian H. Sinz, Léon Bottou, Vladimir Vapnik
2006	J	`jnl`	Large Scale Transductive SVMs. J. Mach. Learn. Res. Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2006	A*	`conf`	Trading convexity for scalability. ICML Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou
2005	J	`jnl`	Fast Kernel Classifiers with Online and Active Learning. J. Mach. Learn. Res. Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou
2005	A	`conf`	Online (and Offline) on an Even Tighter Budget. AISTATS Jason Weston, Antoine Bordes, Léon Bottou
2005	—	`conf`	The Huller: A Simple and Efficient Online SVM. ECML Antoine Bordes, Léon Bottou
2005	J	`jnl`	Toward Automatic Phenotyping of Developing Embryos From Videos. IEEE Trans. Image Process. F. Ning, D. Delhomme, Yann LeCun, F. Piano, Léon Bottou, Paolo Emilio Barbano
2004	—	`conf`	Breaking SVM Complexity with Cross-Training. NIPS Gökhan H. Bakir, Léon Bottou, Jason Weston
2004	—	`conf`	Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR (2) Yann LeCun, Fu Jie Huang, Léon Bottou
2004	—	`conf`	Parallel Support Vector Machines: The Cascade SVM. NIPS Hans Peter Graf, Eric Cosatto, Léon Bottou, Igor Durdanovic, Vladimir Vapnik
2003	—	`conf`	Geometric Clustering Using the Information Bottleneck Method. NIPS Susanne Still, William Bialek, Léon Bottou
2003	—	`conf`	Large Scale Online Learning. NIPS Léon Bottou, Yann LeCun
2003	J	`jnl`	Scalable video coding with managed drift. IEEE Trans. Circuits Syst. Video Technol. Amy R. Reibman, Léon Bottou, Andrea Basso
2003	—	`conf`	Stochastic Learning. Advanced Lectures on Machine Learning Léon Bottou
2002	B	`conf`	Electronic Document Publishing Using DjVu. Document Analysis Systems Artem Mikheev, Luc Vincent, Michael Hawrylycz, Léon Bottou
2001	—	`conf`	DCT-based scalable video coding with drift. ICIP (2) Amy R. Reibman, Léon Bottou, Andrea Basso
2001	A	`conf`	Efficient Conversion of Digital Documents to Multilayer Raster Formats. ICDAR Léon Bottou, Patrick Haffner, Yann LeCun
2001	B	`conf`	Managing Drift in DCT-Based Scalable Video Coding. Data Compression Conference Amy R. Reibman, Léon Bottou
2001	B	`conf`	Masked Wavelets: Applications to Image Compression. Data Compression Conference Steven Pigeon, Léon Bottou
2000	—	`conf`	Vicinal Risk Minimization. NIPS Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik
1999	—	`conf`	Color Documents on the Web with DJVU. ICIP (1) Patrick Haffner, Yann LeCun, Léon Bottou, Paul G. Howard, Pascal Vincent, Bill Riemers
1999	A	`conf`	DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution. ICDAR Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun
1999	—	`conf`	Object Recognition with Gradient-Based Learning. Shape, Contour and Grouping in Computer Vision Yann LeCun, Patrick Haffner, Léon Bottou, Yoshua Bengio
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	—	`conf`	DjVu: a Compression Method for Distributing Scanned Documents in Color over the Internet. CIC Yann LeCun, Léon Bottou, Patrick Haffner, Paul G. Howard
1998	J	`jnl`	Gradient-based learning applied to document recognition. Proc. IEEE Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner
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`	Image and video coding-emerging standards and beyond. IEEE Trans. Circuits Syst. Video Technol. Barry G. Haskell, Paul G. Howard, Yann LeCun, Atul Puri, Jörn Ostermann, M. Reha Civanlar, Lawrence R. Rabiner, Léon Bottou, Patrick Haffner
1998	B	`conf`	Lossy Compression of Partially Masked Still Images. Data Compression Conference Léon Bottou, Steven Pigeon
1998	B	`conf`	The Z-Coder Adaptive Binary Coder. Data Compression Conference Léon Bottou, Paul G. Howard, Yoshua Bengio
1997	A*	`conf`	Global Training of Document Processing Systems Using Graph Transformer Networks. CVPR Léon Bottou, Yoshua Bengio, Yann LeCun
1997	Misc	`conf`	Reading checks with multilayer graph transformer networks. ICASSP Yann LeCun, Léon Bottou, Yoshua Bengio
1996	—	`ch.`	Effiicient BackProp. Neural Networks: Tricks of the Trade Yann LeCun, Léon Bottou, Genevieve B. Orr, Klaus-Robert Müller
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`	Convergence Properties of the K-Means Algorithms. NIPS Léon Bottou, Yoshua Bengio
1993	J	`jnl`	Local Algorithms for Pattern Recognition and Dependencies Estimation. Neural Comput. Vladimir Vapnik, Léon Bottou
1993	J	`jnl`	Signature Verification Using A "Siamese" Time Delay Neural Network. Int. J. Pattern Recognit. Artif. Intell. Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah
1992	—	`conf`	Capacity control in linear classifiers for pattern recognition. ICPR (2) Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla
1992	—	`conf`	Computer aided cleaning of large databases for character recognition. ICPR (2) Nada Matic, Isabelle Guyon, Léon Bottou, John S. Denker, Vladimir Vapnik
1992	J	`jnl`	Local Learning Algorithms. Neural Comput. Léon Bottou, Vladimir Vapnik
1991	—	`conf`	Structural Risk Minimization for Character Recognition. NIPS Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla
1990	—	`conf`	A Framework for the Cooperation of Learning Algorithms. NIPS Léon Bottou, Patrick Gallinari
1990	J	`jnl`	Speaker-independent isolated digit recognition: Multilayer perceptrons vs. Dynamic time warping. Neural Networks Léon Bottou, Françoise Fogelman-Soulié, Pascal Blanchet, Jean-Sylvain Liénard
1989	—	`conf`	Experiments with time delay networks and dynamic time warping for speaker independent isolated digits recognition. EUROSPEECH Léon Bottou, Françoise Fogelman-Soulié, Pascal Blanchet, Jean-Sylvain Liénard