conftrace_

temperature scaling

67 papers

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Also known as

TS

Co-occurring keywords

model calibration (232) uncertainty quantification (1393) knowledge distillation (3725) expected calibration error (46) uncertainty estimation (648) language model (4599) label smoothing (108) confidence calibration (183) calibration error (61) neural network (6616)

Papers

Robust Calibration with Multi-domain Temperature Scaling NIPS 2022
Out of Distribution Detection via Neural Network Anchoring ACML 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency ACL 2022
Calibrating Zero-shot Cross-lingual (Un-)structured Predictions EMNLP 2022
Soft Calibration Objectives for Neural Networks NIPS 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration EMNLP 2021
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence NIPS 2021
Local Temperature Scaling for Probability Calibration ICCV 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation IJCNLP 2021
Calibrating Deep Neural Networks using Focal Loss NIPS 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NIPS 2020
Calibration of Pre-trained Transformers EMNLP 2020
Verified Uncertainty Calibration NIPS 2019
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018
On Calibration of Modern Neural Networks ICML 2017