Co-occurring keywords · papers mentioning both
Papers
Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning
NAACL 2021
WHOSe Heritage: Classification of UNESCO World Heritage Statements of "Outstanding Universal Value” with Soft Labels
EMNLP 2021
Calibration of Pre-trained Transformers
EMNLP 2020
Does label smoothing mitigate label noise?
ICML 2020
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing
ACL 2020
Improved Training Strategies for End-to-End Speech Recognition in Digital Voice Assistants
Interspeech 2020
Improving Confidence Estimates for Unfamiliar Examples
CVPR 2020
Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition
Interspeech 2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
ACL 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance
AAAI 2020
On the Inference Calibration of Neural Machine Translation
ACL 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization
CVPR 2020
Robust Machine Reading Comprehension by Learning Soft labels
COLING 2020
Self-Distillation as Instance-Specific Label Smoothing
NeurIPS 2020
Semantic Label Smoothing for Sequence to Sequence Problems
EMNLP 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation
AACL 2020
Unifying Input and Output Smoothing in Neural Machine Translation
COLING 2020
Unsupervised Vehicle Re-identification with Progressive Adaptation
IJCAI 2020
Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
AAAI 2020
Generalizing Back-Translation in Neural Machine Translation
ACL 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NeurIPS 2019
When does label smoothing help?
NeurIPS 2019
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
EMNLP 2018
Improved Training for Online End-to-end Speech Recognition Systems
Interspeech 2018
mixup: Beyond Empirical Risk Minimization
ICLR 2018