conftrace_

loss function

462 papers

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Co-occurring keywords

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

Conservative Wasserstein Training for Pose Estimation ICCV 2019
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NIPS 2019
Lossless or Quantized Boosting with Integer Arithmetic ICML 2019
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations CVPR 2019
Multilabel reductions: what is my loss optimising? NIPS 2019
A Walkthrough for the Principle of Logit Separation IJCAI 2019
DTWNet: a Dynamic Time Warping Network NIPS 2019
Deep Single Image Camera Calibration With Radial Distortion CVPR 2019
Metric-Optimized Example Weights ICML 2019
BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function ACL 2019
Class-Balanced Loss Based on Effective Number of Samples CVPR 2019
Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019
Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018
Single-Image Depth Estimation Based on Fourier Domain Analysis CVPR 2018
Normalized Cut Loss for Weakly-Supervised CNN Segmentation CVPR 2018
Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks CVPR 2018
Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018
Loss Functions for Multiset Prediction NIPS 2018
Investigations on Data Augmentation and Loss Functions for Deep Learning Based Speech-Background Separation INTERSPEECH 2018
Learning Superpixels With Segmentation-Aware Affinity Loss CVPR 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation CVPR 2018
Repulsion Loss: Detecting Pedestrians in a Crowd CVPR 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018