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Loss Functions

1,162 papers

Papers per year

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Papers

Reducing Network Agnostophobia NIPS 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets NIPS 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
A loss framework for calibrated anomaly detection NIPS 2018
Visualizing the Loss Landscape of Neural Nets NIPS 2018
Connectionist Temporal Classification with Maximum Entropy Regularization NIPS 2018
Convex Elicitation of Continuous Properties NIPS 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels NIPS 2018
Loss Functions for Multiset Prediction NIPS 2018
Energy-Based Hindsight Experience Prioritization CORL 2018
Token-level and sequence-level loss smoothing for RNN language models ACL 2018
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation ACL 2018
Characters or Morphemes: How to Represent Words? ACL 2018
Learning with Complex Loss Functions and Constraints AISTATS 2018
Sequential prediction with coded side information under logarithmic loss ALT 2018
Measuring the Diversity of Automatic Image Descriptions COLING 2018
Edit Probability for Scene Text Recognition CVPR 2018
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018
Deformation Aware Image Compression CVPR 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation CVPR 2018
Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB CVPR 2018
Efficient Optimization for Rank-Based Loss Functions CVPR 2018
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks CVPR 2018
A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018
Ring Loss: Convex Feature Normalization for Face Recognition CVPR 2018