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16 Results
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sorted by
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Analyzing and Introducing Structures in Deep Convolutional Neural NetworksMachine Learning [stat.ML]. Paris Sciences et Lettres, 2017. English. ⟨NNT : ⟩
Theses
tel-02353134v1
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Kymatio: Scattering Transforms in PythonJournal of Machine Learning Research, 2020, 21 (60), pp.1-6
Journal articles
hal-02945354v1
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An Analysis of the SURF MethodImage Processing On Line, 2015, 5, pp.176 - 218. ⟨10.5201/ipol.2015.69⟩
Journal articles
hal-01657161v1
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On Lazy Training in Differentiable ProgrammingNeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947
Conference papers
hal-01945578v6
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i-RevNet: Deep Invertible NetworksICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Conference papers
hal-01712808v1
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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels MethodsInternational Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria
Conference papers
hal-03114389v1
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Scattering Networks for Hybrid Representation LearningIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩
Journal articles
hal-01837587v1
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Decoupled Greedy Learning of CNNsInternational Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377
Conference papers
hal-02945327v1
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Greedy Layerwise Learning Can Scale to ImageNetICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States
Conference papers
hal-02119398v1
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Nonlinear Acceleration of CNNsICLR Workshop track, Apr 2018, Vancouver, Canada
Conference papers
hal-01805251v3
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Why do tree-based models still outperform deep learning on typical tabular data?NeurIPS 2022 Datasets and Benchmarks Track, Nov 2022, New Orleans, United States
Conference papers
hal-03723551v2
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Analyzing and introducing structures in deep convolutional neural networksComputer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE060⟩
Theses
tel-03917151v1
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Nonlinear Acceleration of Deep Neural Networks2018
Preprints, Working Papers, ...
hal-01799269v1
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Interferometric Graph Transform: a Deep Unsupervised Graph Representation37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria
Conference papers
hal-02862516v1
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Scaling the Scattering Transform: Deep Hybrid NetworksInternational Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
Conference papers
hal-01495734v2
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Compressing the Input for CNNs with the First-Order Scattering TransformECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
Conference papers
hal-01850921v1
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