Co-occurring keywords · papers mentioning both
Papers
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing
ACL 2023
On the Relation between Sensitivity and Accuracy in In-Context Learning
EMNLP 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA
ACL 2023
Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models
EACL 2023
Selective Nonparametric Regression via Testing
ACML 2023
Training Private Models That Know What They Don’t Know
NeurIPS 2023
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
ICLR 2023
Window-Based Distribution Shift Detection for Deep Neural Networks
NeurIPS 2023
A Risk-Averse Mechanism for Suicidality Assessment on Social Media
ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
ACL 2022
Role of Human-AI Interaction in Selective Prediction
AAAI 2022
Selective Regression under Fairness Criteria
ICML 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
A DQN-based Approach to Finding Precise Evidences for Fact Verification
ACL 2021
Can NLI Models Verify QA Systems’ Predictions?
EMNLP 2021
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing
ACL 2021
Selective Question Answering under Domain Shift
ACL 2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
MIDL 2020
A Theory of Selective Prediction
COLT 2019
On discriminative learning of prediction uncertainty
ICML 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option
ICML 2019
Selective Prediction of Financial Trends with Hidden Markov Models
NeurIPS 2011