Popular GitHub Repositories for Loss Functions

Code for the Lovász-Softmax loss (CVPR 2018)

A simple yet effective loss function for face verification.

深度学习系统笔记，包含深度学习数学基础知识、神经网络基础部件详解、深度学习炼丹策略、模型压缩算法详解。

Learning to Cluster. A deep clustering strategy.

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Improving MMD-GAN training with repulsive loss function

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.

some loss functions of image segmentation

Fully unsupervised 2D/3D image registration with ConvNet (TensorFlow)

Use Triplet Loss to finetune and train a CNN pre-trained on the Imagenet dataset

Easy Custom Losses for Tree Boosters using Pytorch

Code of the ICASSP 2022 paper "Gradient Variance Loss for Structure Enhanced Super-Resolution"

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling

Supervised and unsupervised loss functions for image segmentation based on the classical FCM objective function. (TensorFlow and PyTorch)

Code for AAAI 2019 Network Interpretability workshop paper