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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Free accessArXiv | 2018| -
Efficient energy-based embedding models for link prediction in knowledge graphs
Online Contents | 2016| -
Efficient energy-based embedding models for link prediction in knowledge graphs
Online Contents | 2016| -
Efficient energy-based embedding models for link prediction in knowledge graphs
Springer Verlag | 2016| -
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Free accessArXiv | 2021| -
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Free accessArXiv | 2023| -
Efficient energy-based embedding models for link prediction in knowledge graphs
Free accessBASE | 2016|Contributors: Minervini, PASQUALE MAURO -
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Free accessArXiv | 2022| -
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies
Online Contents | 2016|
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