A survey and taxonomy of loss functions in machine learning

13 January 2023

Papers citing "A survey and taxonomy of loss functions in machine learning"

9 / 9 papers shown

Title
Neuro-Argumentative Learning with Case-Based Reasoning Adam Gould Francesca Toni 12 0 0 21 May 2025
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks Michail Koumpanakis Ricardo Vilalta AI4CE 88 0 0 29 Nov 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 47 0 0 11 Jul 2024
A Pattern Language for Machine Learning Tasks Benjamin Rodatz Ian Fan Tuomas Laakkonen Neil John Ortega Thomas Hoffman Vincent Wang-Ma'scianica 56 3 0 02 Jul 2024
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements M. Stol Alessandra Mileo 34 1 0 30 Apr 2024
Gradient Aligned Regression via Pairwise Losses Dixian Zhu Tianbao Yang Livnat Jerby-Arnon 39 0 0 08 Feb 2024
AI Powered Road Network Prediction with Multi-Modal Data N. E. Gengeç E. Tarı Ulas Bagci 38 0 0 28 Dec 2023
Deepfake Detection: Leveraging the Power of 2D and 3D CNN Ensembles Aagam Bakliwal Amit D. Joshi 21 1 0 25 Oct 2023
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 275 2,553 0 25 Jan 2016