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SPLADE-v3: New baselines for SPLADE., , , and . CoRR, (2024)Representing Deep Neural Networks Latent Space Geometries with Graphs., , and . Algorithms, 14 (2): 39 (2021)Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning., , , , , , , , , and 6 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 170-190. PMLR, (2020)Deep Geometric Knowledge Distillation with Graphs., , , , , and . ICASSP, page 8484-8488. IEEE, (2020)An Efficiency Study for SPLADE Models., and . SIGIR, page 2220-2226. ACM, (2022)GReS: Workshop on Graph Neural Networks for Recommendation and Search., , , , , , , and . RecSys, page 780-782. ACM, (2021)SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval., , , and . CoRR, (2021)DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems., , and . CoRR, (2020)End-to-End Retrieval with Learned Dense and Sparse Representations Using Lucene., , and . CoRR, (2023)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , and 1 other author(s). TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)