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Loss Functions

1162 directly classified papers

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Papers

On Symmetric Losses for Learning from Corrupted Labels ICML 2019
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions EMNLP 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Accurate, reliable and fast robustness evaluation NIPS 2019
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise NIPS 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration NIPS 2019
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms AISTATS 2019
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning AAAI 2019
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019
Robustness via Curvature Regularization, and Vice Versa CVPR 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NIPS 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting NIPS 2019
EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP 2019
A Regularization-based Framework for Bilingual Grammar Induction EMNLP 2019
Regularized Gradient Boosting NIPS 2019
Boundary loss for highly unbalanced segmentation MIDL 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019
Regularizing Model-Based Planning with Energy-Based Models CORL 2019
Topology-Preserving Deep Image Segmentation NIPS 2019
A Walkthrough for the Principle of Logit Separation IJCAI 2019
A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing IJCNLP 2019
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis IJCNLP 2019
An Embedding Framework for Consistent Polyhedral Surrogates NIPS 2019
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks NIPS 2019