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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings., , , , , and . CoRR, (2019)SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations., , and . CoRR, (2023)Embedding Cardinality Constraints in Neural Link Predictors., , and . CoRR, (2018)Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models., , and . AAAI, page 9200-9208. AAAI Press, (2023)Complex Query Answering with Neural Link Predictors., , , and . ICLR, OpenReview.net, (2021)Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints., , , and . ACL/IJCNLP (2), page 447-453. Association for Computational Linguistics, (2021)Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient., , , , , , , , , and 5 other author(s). IJCNN, page 1-8. IEEE, (2023)ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective., , , , , and . CoRR, (2022)Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4., , , , and . CoRR, (2024)REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization., and . CoRR, (2023)