Deep Metric Learning

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching

A dependency free library of standardized optimization test functions written in pure Python.

Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM.

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Angular triplet center loss implementation in Pytorch.

Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]

Directional Distance Field for Modeling the Difference between 3D Point Clouds

A simple 3-layer fully connected network performing the density ratio estimation using the loss for log-likelihood ratio estimation (LLLR).

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation

An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.

Inverse Supervised Learning

📄 Official implementation regarding the paper "Programmatically Evolving Losses in Machine Learning".

Alternative loss function of binary cross entropy and focal loss

PyTorch code for Sparse Label Smoothing Regularization presented in "Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning" (TPAMI-2023). Paper Link: https://arxiv.org/abs/2209.08907