📐 Research
The Gradient
18 min read
A Brief Overview of Gender Bias in AI
A brief overview and discussion on gender bias in AI
Machine Learning
119 articles
📐 Research
The Gradient
24 min read
Mamba Explained
Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency…
📐 Research
The Gradient
14 min read
Car-GPT: Could LLMs finally make self-driving cars happen?
Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?
📐 Research
The Gradient
19 min read
Why Doesn’t My Model Work?
Have you ever trained a model you thought was good, but then it failed miserably when applied to real world data? If so, you’re in good company.
📐 Research
The Gradient
18 min read
Salmon in the Loop
On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.
📐 Research
The Gradient
31 min read
Neural algorithmic reasoning
In this article, we will talk about classical computation : the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest…
🏃 Research
fast.ai
14 min read
Can LLMs learn from a single example?
Summary: recently while fine-tuning a large language model (LLM) on multiple-choice science exam questions, we observed some highly unusual training loss curves. In particular, it appeared the model was able…
🪟 AI Labs
Microsoft AI Blog
9 min read
Online math tutoring service uses AI to help boost students’ skills and confidence
The post Online math tutoring service uses AI to help boost students’ skills and confidence appeared first on The AI Blog .
🔬 Research
Distill.pub
38 min read
Understanding Convolutions on Graphs
Understanding the building blocks and design choices of graph neural networks.
🔬 Research
Distill.pub
44 min read
A Gentle Introduction to Graph Neural Networks
What components are needed for building learning algorithms that leverage the structure and properties of graphs?
🔬 Research
Distill.pub
26 min read
Adversarial Reprogramming of Neural Cellular Automata
Reprogramming Neural CA to exhibit novel behaviour, using adversarial attacks.
🔬 Research
Distill.pub
13 min read
Weight Banding
Weights in the final layer of common visual models appear as horizontal bands. We investigate how and why.
🔬 Research
Distill.pub
32 min read
Self-Organising Textures
Neural Cellular Automata learn to generate textures, exhibiting surprising properties.
🔬 Research
Distill.pub
42 min read
Understanding RL Vision
With diverse environments, we can analyze, diagnose and edit deep reinforcement learning models using attribution.
🔬 Research
Distill.pub
5 min read
Thread: Differentiable Self-organizing Systems
A collection of articles and comments with the goal of understanding how to design robust and general purpose self-organizing systems.
🔬 Research
Distill.pub
28 min read
Self-classifying MNIST Digits
Training an end-to-end differentiable, self-organising cellular automata for classifying MNIST digits.
🔬 Research
Distill.pub
29 min read
Exploring Bayesian Optimization
How to tune hyperparameters for your machine learning model using Bayesian optimization.
🔬 Research
Distill.pub
42 min read
Visualizing Neural Networks with the Grand Tour
By focusing on linear dimensionality reduction, we show how to visualize many dynamic phenomena in neural networks.
🔬 Research
Distill.pub
5 min read
Thread: Circuits
What can we learn if we invest heavily in reverse engineering a single neural network?
🔬 Research
Distill.pub
42 min read
Zoom In: An Introduction to Circuits
By studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks.
🔬 Research
Distill.pub
9 min read
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Adversarial Example Researchers Need to Expand What is Meant by 'Robustness'
The main hypothesis in Ilyas et al. (2019) happens to be a special case of a more general principle that is commonly accepted in the robustness to distributional shift literature
🔬 Research
Distill.pub
6 min read
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Robust Feature Leakage
An example project using webpack and svelte-loader and ejs to inline SVGs
🔬 Research
Distill.pub
6 min read
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Two Examples of Useful, Non-Robust Features
An example project using webpack and svelte-loader and ejs to inline SVGs