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Loss Functions

1162 directly classified papers

Papers per year

Papers

Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition INTERSPEECH 2020
Speech Emotion Recognition with Discriminative Feature Learning INTERSPEECH 2020
X-CAL: Explicit Calibration for Survival Analysis NIPS 2020
All your loss are belong to Bayes NIPS 2020
Weston-Watkins Hinge Loss and Ordered Partitions NIPS 2020
Learning by Minimizing the Sum of Ranked Range NIPS 2020
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives MIDL 2020
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study MIDL 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
SuperLoss: A Generic Loss for Robust Curriculum Learning NIPS 2020
Agnostic Learning with Multiple Objectives NIPS 2020
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss INTERSPEECH 2020
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection NIPS 2020
Continual Learning for Multi-Dialect Acoustic Models INTERSPEECH 2020
HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs AAAI 2020
Towards Interpretation of Pairwise Learning AAAI 2020
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020
Photon: A Robust Cross-Domain Text-to-SQL System ACL 2020
Revisiting Knowledge Distillation via Label Smoothing Regularization CVPR 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 2020
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation EMNLP 2020
Learning with Fenchel-Young losses JMLR 2020
Interactive Multi-Label CNN Learning With Partial Labels CVPR 2020
Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020