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Léon Bottou

  1. Gradient-based learning applied to document recognition
    1998/01/01 by Y. Lecun, Yann LeCun, L. Bottou +5 · 2627 citations
    Computer Science · #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Neural Networks and Applications
  2. Optimization Methods for Large-Scale Machine Learning
    2016/06/15 by Léon Bottou, Frank E. Curtis, Bottou, Léon +3 · 2 voices · 128 citations
    #stat.ML #cs.LG #math.OC
  3. Borges and AI
    2023/09/27 by Léon Bottou, Bernhard Schölkopf, Bottou, Léon +1 · 15 voices · 1 citation
    #cs.CL #cs.AI #cs.LG
  4. Wasserstein GAN
    2017/01/26 by Martin Arjovsky, Martín Arjovsky, Soumith Chintala +4 · 2 voices · 28 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Medicine · #FOS: Computer and information sciences #Fibroblast Growth Factor Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #cs.LG #stat.ML
  5. Optimization Methods for Large-Scale Machine Learning
    2018/01/01 by Léon Bottou, Frank E. Curtis, Jorge Nocedal · 142 citations
    Computer Science · Decision Sciences · #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
  6. Invariant Risk Minimization
    2019/07/05 by Martín Arjovsky, Léon Bottou, Arjovsky, Martin +5 · 182 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Machine Learning and Algorithms
  7. Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
    2017/06/14 by Levent Sagun, Utku Evci, Sagun, Levent +7 · 41 citations
    Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Random Matrices and Applications
  8. Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
    2016/11/22 by Levent Sagun, Sagun, Levent, Léon Bottou +3 · 29 citations
    Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
  9. Counterfactual Reasoning and Learning Systems
    2012/09/11 by Léon Bottou, Bottou, Léon, Jonas Peters +15 · 15 citations
    Computer Science · Decision Sciences · #Data Stream Mining Techniques #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
  10. Birth of a Transformer: A Memory Viewpoint
    2023/06/01 by Alberto Bietti, Bietti, Alberto, Vivien Cabannes +7 · 28 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  11. Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
    2019/09/03 by Alexandre Défossez, Nicolas Usunier, Défossez, Alexandre +5 · 15 citations
    Computer Science · #Speech and Audio Processing #Music and Audio Processing #Speech Recognition and Synthesis
  12. Memory Mosaics
    2024/05/10 by Jianyu Zhang, Niklas Nolte, Zhang, Jianyu +7 · 3 voices · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.AI #cs.LG #cs.NE
  13. Music Source Separation in the Waveform Domain
    2019/11/27 by Alexandre Défossez, Nicolas Usunier, Défossez, Alexandre +5 · 15 citations
    Computer Science · #Speech and Audio Processing #Music and Audio Processing #Speech Recognition and Synthesis
  14. A Simple Convergence Proof of Adam and Adagrad
    2020/03/05 by Alexandre Défossez, Défossez, Alexandre, Léon Bottou +5 · 11 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  15. Cold Case: The Lost MNIST Digits
    2019/05/25 by Chhavi Yadav, Léon Bottou, Yadav, Chhavi +1 · 8 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Topic Modeling
  16. MagicPIG: LSH Sampling for Efficient LLM Generation
    2024/10/21 by Zhuoming Chen, Chen, Zhuoming, Ranajoy Sadhukhan +19 · 20 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Speech Recognition and Synthesis #Video Analysis and Summarization
  17. A Lower Bound for the Optimization of Finite Sums
    2014/10/02 by Alekh Agarwal, Agarwal, Alekh, Léon Bottou +1 · 8 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  18. The Effects of Regularization and Data Augmentation are Class Dependent
    2022/04/07 by Randall Balestriero, Balestriero, Randall, Léon Bottou +3 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  19. A Single Character can Make or Break Your LLM Evals
    2025/10/02 by Jingtong Su, Su, Jingtong, Jianyu Zhang +7 · 3 voices · 3 citations
    Social Sciences · #Artificial Intelligence in Law #cs.AI #cs.CL
  20. Learning useful representations for shifting tasks and distributions
    2022/12/14 by Jianyu Zhang, Léon Bottou, Zhang, Jianyu +1 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
  21. No Regret Bound for Extreme Bandits
    2015/08/12 by Robert Nishihara, Nishihara, Robert, David López-Paz +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC) #Statistics Theory (math.ST)