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Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences.

, , , , and . NeurIPS, (2022)

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Semantical Information Graph Model toward Fast Information Valuation in Large Teamwork., , , and . ECAI, volume 263 of Frontiers in Artificial Intelligence and Applications, page 1137-1138. IOS Press, (2014)Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences., , , , and . NeurIPS, (2022)Finding decision jumps in text classification., , , , and . Neurocomputing, (2020)Jumper: Learning When to Make Classification Decision in Reading., , , , and . IJCAI, page 4237-4243. ijcai.org, (2018)Unsupervised Paraphrasing by Simulated Annealing., , , , , and . ACL, page 302-312. Association for Computational Linguistics, (2020)Vector-Quantized Prompt Learning for Paraphrase Generation., , , and . EMNLP (Findings), page 13389-13398. Association for Computational Linguistics, (2023)Deep-learning Based Modeling of Fault Detachment Stability for Power Grid., , and . CoRR, (2018)AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks., , , and . WACV, page 1213-1222. IEEE, (2019)Deep geometric representations for modeling effects of mutations on protein-protein binding affinity., , , , and . PLoS Comput. Biol., (2021)TrimNet: learning molecular representation from triplet messages for biomedicine., , , , , , , and . Briefings Bioinform., (2021)