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Outperforming Reference

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Preview of ProofInfer
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ProofInfer (2022.emnlp-main.747.pdf)

842 KBEN 10 pages
Researchers propose ProofInfer, a novel proof generation model that generates proof trees via iterative hierarchical inference, outperforming state-of-the-art
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Preview of https://files.emailmeform.com/2071943/GbrsaMWo/16.pdf
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https://files.emailmeform.com/2071943/GbrsaMWo/16.pdf (16.pdf)

43 KBЕкатеринаEN 1 page
one proposes a probabilistic model for machine code learning, allowing for learning code that cannot be learned by traditional models, and the other presents a...
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Preview of MapTR
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MapTR (2208.14437.pdf)

3.11 MBEN 18 pages
MapTR is a structured end-to-end Transformer for efficient online vectorized HD map construction, proposing a unified permutation-equivalent modeling approach...
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Preview of Reinforcement Learning for Explainable Recommendation
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Reinforcement Learning for Explainable Recommendation (1906.05237.pdf)

1.38 MBYikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, and Yongfeng ZhangEN 10 pages
A method for explainable recommendations using knowledge graph reasoning, providing interpretable paths.
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Preview of Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection
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Compounded Corruption: A Fast and Effective Data Augmentation Technique for Out-of-Distribution Sample Detection (2207.13916.pdf)

4.72 MBEN 43 pages
A novel data augmentation technique, Compounded Corruptions (CnC), creates synthetic out-of-distribution samples by corrupting in-distribution data, enabling the training of effective OOD detection classifiers without requiring labeled OOD examples.
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Preview of Allied_Advisers_FlavorsOfSaaS_Fall2022
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Allied_Advisers_FlavorsOfSaaS_Fall2022 (Allied_Advisers_FlavorsOfSaaS_Fall2022.pdf)

1.83 MBSiddhant TayalEN 21 pages
Investors remain interested in Vertical SaaS due to its high growth prospects and strong business fundamentals, outperforming Horizontal SaaS companies in
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Preview of Chinchilla AI
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Chinchilla AI (2203.15556.pdf)

5.73 MBEN 36 pages
Document en en
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Preview of Forecasting IBOVESPA Index with Fuzzy Logic
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Forecasting IBOVESPA Index with Fuzzy Logic (Newton-e-Outros.pdf)

221 KBEN 17 pages
This research applies fuzzy logic to predict the direction of price changes for the São Paulo Stock Exchange Index (IBOVESPA), utilizing 2,000 daily data points from January onwards. It offers a novel method for stock market forecasting.
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