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Loss Functions

1162 directly classified papers

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Papers

Training Word Sense Embeddings With Lexicon-based Regularization IJCNLP 2017
Calibration Approaches for Language Detection INTERSPEECH 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction INTERSPEECH 2017
Robust Estimation of Neural Signals in Calcium Imaging NIPS 2017
Hierarchical Feature Selection with Recursive Regularization IJCAI 2017
Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling ICML 2017
A Comparison of Perceptually Motivated Loss Functions for Binary Mask Estimation in Speech Separation INTERSPEECH 2017
Stabilizing Training of Generative Adversarial Networks through Regularization NIPS 2017
Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016
Linking losses for density ratio and class-probability estimation ICML 2016
Loss Functions for Top-k Error: Analysis and Insights CVPR 2016
Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016
Learning Activity Progression in LSTMs for Activity Detection and Early Detection CVPR 2016
Convex Calibration Dimension for Multiclass Loss Matrices JMLR 2016
DisturbLabel: Regularizing CNN on the Loss Layer CVPR 2016
Optimal Classification with Multivariate Losses ICML 2016
On Regularizing Rademacher Observation Losses NIPS 2016
Learning Deep Embeddings with Histogram Loss NIPS 2016
Composite Multiclass Losses JMLR 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting JMLR 2016
Temporal Action Localization in Untrimmed Videos via Multi-Stage CNNs CVPR 2016
Feature-Level Domain Adaptation JMLR 2016
Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016
Loss factorization, weakly supervised learning and label noise robustness ICML 2016