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Subject : artificial intelligence Subject : deep learning Subject : qa1-939 Subject : variable importance Geographic : united states Filter by : Subject
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Conference

Statistically Valid Variable Importance Assessment through Conditional Permutations

Subjects: Variable importance; Interpretability and explainability; Machine LearningNew Orleans (Louisiana); United States

  • Source: NeurIPS 2023 - 37th Conference on Neural Information Processing Systems ; https://hal.science/hal-04334161 ; NeurIPS 2023 - 37th Conference on Neural Information Processing Systems, Dec 2023,

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Information theoretic study of the neural geometry induced by category learning

Subjects: mutual information; Fisher information; neural geometryNew Orleans; United States

  • Source: 37th Conference on Neural Information Processing Systems (NeurIPS 2023)https://hal.science/hal-0431133837th Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023,

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Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination

Subjects: UAV; Deep Learning; Semantic SegmentationNew-Orleans; United States

  • Source: Advances in Neural Information Processing Systems 37 (NeurIPS 2023) ; NeurIPS 2023 - 37th Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04380350 ; NeurIPS 2023 -

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Reinforcement-learning robotic sailboats: simulator and preliminary results

Subjects: artificial intelligence; reinforcement learning; unmanned surface vesselNew-Orleans; United States

  • Source: 6th Robot Learning Workshop NeurIPS 2023https://hal.science/hal-043550536th Robot Learning Workshop NeurIPS 2023, Dec 2023, New-

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Unifying GANs and Score-Based Diffusion as Generative Particle Models

Subjects: deep learning; generative models; GANsNew Orleans; United States

  • Source: 37th Conference on Neural Information Processing Systemshttps://hal.science/hal-04322365Alice OhTristan NaumannAmir GlobersonKate SaenkoMoritz HardtSergey

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Emergence of a Symbolic Goal Representation with an Intelligent Tutoring System based on Intrinsic Motivation

Subjects: Reinforcement Leaning RL; Hierarchical reinforcement learning; Open-ended learningNew Orleans (Louisiana); United States

  • Source: NeurIPS 2023 - IMOL Workshop "Intrinsically-Motivated and Open-Ended Learning" ; https://inria.hal.science/hal-04403613 ; NeurIPS 2023 - IMOL Workshop "Intrinsically-Motivated and Open-Ended

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$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning

Subjects: Decentralized Optimization; Data parallel; Deep learningNew Orleans; United States

  • Source: Advances in Neural Information Processing Systems 37 ; Thirty-seventh Conference on Neural Information Processing Systems ; https://hal.science/hal-04124318 ; Thirty-seventh Conference on Neural

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A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

Subjects: Explainability; XAI; Deep learningNew Orleans (Louisiana); United States

  • Source: Conference on Neural Information Processing Systems (NeurIPS), 2023 ; https://hal.science/hal-04391647 ; Conference on Neural Information Processing Systems (NeurIPS), 2023, Dec 2023,

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Differentiable Clustering with Perturbed Spanning Forests

Subjects: clustering; differentiable clustering; deepclusteringNew Orleans; United States

  • Source: 37th Conference on Neural Information Processing Systemshttps://hal.science/hal-0410531037th Conference on Neural Information Processing Systems, Dec 2023,

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Normalization-Equivariant Neural Networks with Application to Image Denoising

Subjects: interpretability; robustness; deep learningNew-Orleans; United States

  • Source: Conference on Neural Information Processing Systems (NeurIPS) ; https://hal.science/hal-04123516 ; Conference on Neural Information Processing Systems (NeurIPS), Dec 2023,

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  • 1-10 of  49 results for ""New Orleans""