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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