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Loss Functions

1162 directly classified papers

Papers per year

Papers

Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement INTERSPEECH 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Reducing Network Agnostophobia NIPS 2018
Characters or Morphemes: How to Represent Words? ACL 2018
Maximum-Entropy Fine Grained Classification NIPS 2018
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB CVPR 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks ICML 2018
Visualizing the Loss Landscape of Neural Nets NIPS 2018
Large Margin Neural Language Model EMNLP 2018
Learning with Complex Loss Functions and Constraints AISTATS 2018
Token-level and sequence-level loss smoothing for RNN language models ACL 2018
Sequential prediction with coded side information under logarithmic loss ALT 2018
Surprising properties of dropout in deep networks JMLR 2018
Energy-Based Hindsight Experience Prioritization CORL 2018
Loss Functions for Multiset Prediction NIPS 2018
Hinge-Minimax Learner for the Ensemble of Hyperplanes JMLR 2018
Towards a Better Metric for Evaluating Question Generation Systems EMNLP 2018
CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities SEMEVAL 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels NIPS 2018
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation ACL 2018
Correcting Length Bias in Neural Machine Translation EMNLP 2018
Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018
Subband Weighting for Binaural Speech Source Localization INTERSPEECH 2018
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018