conftrace_

loss function

462 papers

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neural network (6616) deep neural network (1803) object detection (2762) neural network optimization (1293) class imbalance (555) convolutional neural network (4226) semantic segmentation (3186) multi-label classification (1009) deep learning (2118) gradient descent (1144)

Papers

Static Analysis of Binary Executables Using Structural SVMs NIPS 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Relaxed Clipping: A Global Training Method for Robust Regression and Classification NIPS 2010
Variable margin losses for classifier design NIPS 2010
Ranking Measures and Loss Functions in Learning to Rank NIPS 2009
Distribution-Calibrated Hierarchical Classification NIPS 2009
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
On the Efficient Minimization of Classification Calibrated Surrogates NIPS 2008
Incremental Algorithms for Hierarchical Classification JMLR 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005