AI
Interpretable machine learning through teaching
Researchers have developed an approach that enables machine learning models to learn from each other using human-understandable examples. This method ...
AI
AI
Discovering types for entity disambiguation
Researchers at OpenAI have developed a method for entity disambiguation using a neural network that categorizes words into around 100 automatically-di...
AI
Requests for Research 2.0
OpenAI has released seven unsolved problems that arose during their own research. These challenges, which they call Requests for Research 2.0, are aim...
AI
The Multi-Armed Bandit Problem and Its Solutions
The Multi-Armed Bandit Problem is a challenge in decision-making where an agent must balance exploration (trying new options) with exploitation (choos...
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Scaling Kubernetes to 2,500 nodes
OpenAI has achieved a significant milestone in scaling Kubernetes clusters by successfully deploying and managing a cluster with 2,500 nodes. This fea...
AI
Object Detection for Dummies Part 3: R-CNN Family
This article is part three of a series on object detection for beginners. It focuses on the Region-Based Convolutional Neural Network (R-CNN) family, ...
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Object Detection for Dummies Part 2: CNN, DPM and Overfeat
The article continues a series on object detection, explaining three different approaches used in this field. The first is CNN (Convolutional Neural N...
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Block-sparse GPU kernels
OpenAI has released optimized GPU kernels for neural networks with block-sparse weights, a type of architecture that is less common but can be faster ...
AI
Learning sparse neural networks through Lā regularization
Researchers at OpenAI are exploring a new method to train neural networks with fewer parameters, called L0 regularization. This technique aims to redu...
AI
Interpretable and pedagogical examples
OpenAI has released a collection of interpretable and pedagogical examples for natural language processing (NLP) models. These examples aim to provide...
AI
Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS
The article 'Object Detection for Dummies Part 1' explains the basics of object detection, starting with image processing concepts like gradient vecto...
AI
Learning a hierarchy
Researchers at OpenAI have developed an algorithm that uses reinforcement learning to learn high-level actions useful for solving various tasks. This ...