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Representing Deep Neural Networks Latent Space Geometries with Graphs.

, , и . CoRR, (2020)

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Carlos Köhler

Carlos Oberacker

Carlos Cardonha

Carlos Bäzner

Carlos Schwager

 

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SPLADE-v3: New baselines for SPLADE., , , и . CoRR, (2024)GReS: Workshop on Graph Neural Networks for Recommendation and Search., , , , , , , и . RecSys, стр. 780-782. ACM, (2021)An Efficiency Study for SPLADE Models., и . SIGIR, стр. 2220-2226. ACM, (2022)Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning., , , , , , , , , и 6 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 170-190. PMLR, (2020)Deep Geometric Knowledge Distillation with Graphs., , , , , и . ICASSP, стр. 8484-8488. IEEE, (2020)DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems., , и . CoRR, (2020)End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene., , и . CoRR, (2023)AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation., , , , , , и . SIGIR, стр. 2975-2984. ACM, (2023)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , и 1 other автор(ы). TREC, том 500-338 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)Improving Classification Accuracy With Graph Filtering., , , , , и . ICIP, стр. 334-338. IEEE, (2021)