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23 résultats
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triés par
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Feature-wise transformationsDistill, 2018, 3 (7), ⟨10.23915/distill.00011⟩
Article dans une revue
hal-01841985v1
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Self-Educated Language Agent With Hindsight Experience Replay For Instruction Following2019
Pré-publication, Document de travail
hal-02386585v1
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Hybrid Collaborative Filtering with Autoencoders2016
Pré-publication, Document de travail
hal-01281794v3
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Visual Reasoning with Multi-hop Feature ModulationECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.808-831
Communication dans un congrès
hal-01927811v1
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Deep Reinforcement Learning and the Deadly Triad2018
Pré-publication, Document de travail
hal-01949304v1
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GuessWhat?! Visual object discovery through multi-modal dialogueConference on Computer Vision and Pattern Recognition, Jul 2017, Honolulu, United States
Communication dans un congrès
hal-01549641v1
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Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse InputsNIPS Workshop on Machine Learning for eCommerce, Dec 2015, Montreal, Canada
Communication dans un congrès
hal-01256422v2
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End-to-end optimization of goal-driven and visually grounded dialogue systems Harm de VriesInternational Joint Conference on Artificial Intelligence, Aug 2017, Melbourne, Australia
Communication dans un congrès
hal-01549642v1
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On the role of population heterogeneity in emergent communicationICLP 2022 - Tenth International Conference on Learning Representations, Apr 2022, Los Angeles, United States
Communication dans un congrès
hal-03830500v1
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Modulating early visual processing by languageNIPS 2017 - Conference on Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-14
Communication dans un congrès
hal-01648683v1
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HoME: a Household Multimodal EnvironmentNIPS 2017's Visually-Grounded Interaction and Language Workshop, Dec 2017, Long Beach, United States
Communication dans un congrès
hal-01653037v1
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Filtrage Collaboratif Hybride avec des Auto-encodeursConférence francophone sur l'Apprentissage Automatique (CAp'16), Jul 2016, Marseille, France
Communication dans un congrès
hal-01406432v1
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Learning Visual Reasoning Without Strong Priors ICML 2017's Machine Learning in Speech and Language Processing Workshop, Aug 2017, Sidney, France
Communication dans un congrès
hal-01648684v1
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Hybrid Recommender System based on Autoencodersthe 1st Workshop on Deep Learning for Recommender Systems, Sep 2016, Boston, United States. pp.11 - 16, ⟨10.1145/2988450.2988456⟩
Communication dans un congrès
hal-01336912v2
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Bootstrap Your Own Latent: A new approach to self-supervised learningNeural Information Processing Systems, 2020, Montréal, Canada
Communication dans un congrès
hal-02869787v2
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Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm2019
Pré-publication, Document de travail
hal-02062104v1
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The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction2020
Pré-publication, Document de travail
hal-02896961v2
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HIGhER: Improving instruction following with Hindsight Generation for Experience ReplayADPRL 2020 - IEEE SSCI Conference on Adaptive Dynamic Programming and Reinforcement Learning, Dec 2020, Camberra / Virtual, Australia
Communication dans un congrès
hal-03123981v1
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FiLM: Visual Reasoning with a General Conditioning LayerAAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States
Communication dans un congrès
hal-01648685v1
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A Machine of Few Words Interactive Speaker Recognition with Reinforcement LearningConference of the International Speech Communication Association (INTERSPEECH), Oct 2020, Shanghai, China. ⟨10.21437/Interspeech.2020-2892⟩
Communication dans un congrès
hal-03123999v1
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Multimodal and Interactive Models for Visually Grounded Language LearningNeural and Evolutionary Computing [cs.NE]. Université de Lille; École doctorale, ED SPI 074 : Sciences pour l'Ingénieur, 2020. English. ⟨NNT : ⟩
Thèse
tel-03018038v1
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Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithmMaterials Characterization, 2019, 150, pp.184-198. ⟨10.1016/j.matchar.2019.01.033⟩
Article dans une revue
hal-02062098v1
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Learning Nash Equilibrium for General-Sum Markov Games from Batch DataAISTATS 2017 - The 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States. pp.1-14
Communication dans un congrès
hal-01648489v1
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