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model calibration

271 papers

Papers

Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022 Feature Space Particle Inference for Neural Network Ensembles ICML 2022 Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation ACL 2022 Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model EMNLP 2022 Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation MIDL 2022 On the Calibration of Massively Multilingual Language Models EMNLP 2022 On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022 Overconfidence in the Face of Ambiguity with Adversarial Data NAACL 2022 Parameter-Efficient Legal Domain Adaptation EMNLP 2022 Probabilistic spatial transformer networks UAI 2022 Re-Examining Calibration: The Case of Question Answering EMNLP 2022 Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022 The Role of Context and Uncertainty in Shallow Discourse Parsing COLING 2022 Towards Improving Selective Prediction Ability of NLP Systems ACL 2022 Towards Practical Control of Singular Values of Convolutional Layers NeurIPS 2022 Uncalibrated Models Can Improve Human-AI Collaboration NeurIPS 2022 An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021 Attention Calibration for Transformer in Neural Machine Translation ACL 2021 Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation ACL 2021 DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling ICCV 2021 DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation ICLR 2021 Diversity Matters When Learning From Ensembles NeurIPS 2021 Estimating Calibrated Individualized Survival Curves with Deep Learning AAAI 2021 Evidential Deep Learning for Open Set Action Recognition ICCV 2021