Loss Functions
157 papers
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Papers
Flexible Spatio-Temporal Networks for Video Prediction
CVPR 2017
One-To-Many Network for Visually Pleasing Compression Artifacts Reduction
CVPR 2017
Learning Deep Embeddings with Histogram Loss
NeurIPS 2016
Loss Functions for Top-k Error: Analysis and Insights
CVPR 2016
Learning with a Wasserstein Loss
NeurIPS 2015
Calibrated Elastic Regularization in Matrix Completion
NeurIPS 2012
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
NeurIPS 2010