Nikhil Bhargava, PhD in Making·Aug 5A Practitioner’s Guide to Loss Functions for Training Deep Multimodal LLMsTL;DR:
VectorWorks Academy·Jul 26Focal Loss Explained: When It Helps, When It Hurts, and How to Think About It in Production MLOne of the first challenges engineers encounter when training large-scale machine learning models is class imbalance. Suppose you’re…A response icon1A response icon1
InAI MindsetbyDr. Fadi Shaar·Feb 25Eight Computer Vision Papers That Redefined the FieldIf you are entering the field of computer vision — or aiming to strengthen your fundamentals — there are certain research papers you simply…
Sebastian Buzdugan·Jan 4Why Focal Loss Is (Almost) Never Used in LLM TrainingIf you squint at language model training, it looks like the most imbalanced classification problem imaginable.
Mohit Gaikwad·Sep 14, 2025Cracking YOLOv8: Part 4 — The Prediction Head: From Features to Final Object PredictionsThe Prediction Head is the final stage of the YOLOv8 architecture, where the high-level, fused features from the Neck are processed to…
InCodeXbySahika Betul Yayli, MD·Feb 26, 2025Step-by-Step Guide: Implementing Focal Loss in nnU-Net with Weighted Dice and BCE LossesThis guide explains how to modify nnU-Net’s loss function to use Dice + BCE + Focal Loss for better segmentation of small structures like…
InCodeXbySahika Betul Yayli, MD·Feb 26, 2025Focal Loss in Medical Image Segmentation: Enhancing Small Structure DetectionIn medical image segmentation, detecting small structures is always a challenge. Aneurysms and other small abnormalities often occupy only…A response icon1A response icon1
Abhishek Jain·Jan 30, 2025Cross Entropy loss and its Evolution to Focal loss in Object DetectionIn the case of object detection, lets look what some basic term means along with their examples
Annolive AI·Jan 28, 2025Handling Imbalanced Classification DatasetsWhile working on a variety of datasets related to classification tasks, you might have faced the issue that data points pertaining to some…
