loss function

Loss Functions for Multiset Prediction NeurIPS 2018 Mean-Variance Loss for Deep Age Estimation From a Face CVPR 2018 Normalized Cut Loss for Weakly-Supervised CNN Segmentation CVPR 2018 Repulsion Loss: Detecting Pedestrians in a Crowd CVPR 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Single-Image Depth Estimation Based on Fourier Domain Analysis CVPR 2018 Token-level and sequence-level loss smoothing for RNN language models ACL 2018 Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018 Don’t understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures ACL 2017 Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017 Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017 Learning from Complementary Labels NeurIPS 2017 Loss Max-Pooling for Semantic Image Segmentation CVPR 2017 Noise-Blind Image Deblurring CVPR 2017 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models NeurIPS 2017 Sharp Minima Can Generalize For Deep Nets ICML 2017 Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017 Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation CoNLL 2017 Value-Aware Loss Function for Model-based Reinforcement Learning AISTATS 2017 A Convex Surrogate Operator for General Non-Modular Loss Functions AISTATS 2016 Composite Multiclass Losses JMLR 2016 End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016 Feature-Level Domain Adaptation JMLR 2016 Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 Online Convex Optimization with Unconstrained Domains and Losses NeurIPS 2016