Distillation - Learn Data Science with Travis

Model Distillation

Towards AI

Making AI Models Leaner and Meaner: A go-to approach for small and medium businesses | Practical guide to shrinking AI Models without losing their Intelligence Image Source: Author 1\. Introduction A...

Data Distillation for Object Detection

Towards Data Science

Knowledge distillation (KD), also known as model distillation (MD), is an impressive neural network training method proposed by the God Father of deep learning, Geoffrey Hinton, to gain neural…

Smaller, Faster, Smarter: The Power of Model Distillation

Towards AI

Last week, we covered OpenAI’s new series of models: o1 . TL;DR: They trained the o1 models to use better reasoning by leveraging an improved chain of thought before replying. This made us think. Open...

Using Distillation to Protect Your Neural Networks

Towards Data Science

Distillation is a hot research area. For distillation, you first train a deep learning model, the teacher network, to solve your task. Then, you train a student network, which can be any model. While…...

Distill Hiatus

Distill

Over the past five years, Distill has supported authors in publishing artifacts that push beyond the traditional expectations of scientific papers. From Gabriel Goh’s interactive exposition of momentu...

A Gentle Introduction to Hint Learning & Knowledge Distillation

Towards AI

Knowledge distillation is a method to distill the knowledge in an ensemble of cumbersome models and compress it into a single model in order to make possible deployments to real-life applications…

Knowledge Distillation for Object Detection 1: Start from simple classification model

Analytics Vidhya

Knowledge Distillation (KD) is a technique for improving accuracy of a small network (student), by transferring distilled knowledge produced by a large network (teacher). We can also say that KD is…

Distill Update 2018

Distill

Things that Worked Well Interfaces for Ideas Engagement as a Spectrum Software Engineering Best Practices for Scientific Publishing Challenges & Improvements The Distill Prize A Small Community Revie...

The Power of Knowledge Distillation in Modern AI: Bridging the Gap between Powerful and Compact…

Towards AI

What is Knowledge Distillation? At its core, knowledge distillation is about transferring knowledge from a large, complex model (often called the teacher ) to a smaller, simpler model (the student ). ...

The Secret to Smaller, Faster Neural Networks: Knowledge Distillation Explained

Python in Plain English

Want smaller, faster, and just as accurate models? Knowledge distillation is the key. Let’s uncover its secrets. Knowledge Distillation What is Knowledge Distillation?? Knowledge distillation is a tec...

Edge 453: Distillation Across Different Modalities

TheSequence

Cross modal distillation is one of the most interesting distillation methods of the new generation.

Knowledge Distillation In Neural Network

Towards AI

Have you ever imagined what if we could unlock the heavyweight neural networks and transfer the knowledge and information to a lightweight, smaller model with not much information loss? Well, welcome ...