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Loss Functions

122 directly classified papers

Papers per year

Papers

A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation EMNLP 2019
Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019
Event Cameras, Contrast Maximization and Reward Functions: An Analysis CVPR 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
When does label smoothing help? NIPS 2019
Depth Coefficients for Depth Completion CVPR 2019
Learning to Rank for Plausible Plausibility ACL 2019
A General and Adaptive Robust Loss Function CVPR 2019
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018
Multi-source transformer with combined losses for automatic post editing EMNLP 2018
Token-level and sequence-level loss smoothing for RNN language models ACL 2018
Repulsion Loss: Detecting Pedestrians in a Crowd CVPR 2018
Mean-Variance Loss for Deep Age Estimation From a Face CVPR 2018
CosFace: Large Margin Cosine Loss for Deep Face Recognition CVPR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018
Flexible Spatio-Temporal Networks for Video Prediction CVPR 2017
A Comparison of Perceptually Motivated Loss Functions for Binary Mask Estimation in Speech Separation INTERSPEECH 2017
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction CVPR 2017
Loss Functions for Top-k Error: Analysis and Insights CVPR 2016
Calibrated Elastic Regularization in Matrix Completion NIPS 2012