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How to Build a Faster Vision Transformer for Supervised Image Classification
A vision transformer learns from image data by treating image patches as tokens. Adding a token learning layer to a vision transformer speeds up its operations.
Sep 21st, 2022
Articles
How to Improve Content Moderation on Inputs to Large ML Models with Synthetic Data
The DALL·E 2 team at OpenAI recently described an intriguing way to limit certain sensitive training images from their image-generation model. We hypothesize that you could improve on this technique by expanding the training dataset for DALL·E 2 with synthetic data.
Sep 6th, 2022
Articles
CVPR Research Roundup: Four Papers on Synthetic Data that Will Have an Immediate Impact on Your Data-Centric AI Workflows
New research on synthetic models investigate ways to curate, generate, or label data in resource-constrained environments, using techniques such as generative modeling or weak supervision—and the need for labeled data to train deep neural networks is a priority in AI.
Aug 22nd, 2022
Articles
28 Great Resources for AI/ML Practitioners
Keep up with these 28 resources for AL/ML practitioners. They cover a wide range of topics—and get as technical as you want.
Aug 12th, 2022
Resources
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AI Exchange Contributor Guidelines
These guidelines for contributing to AI Exchange will ensure your success, providing great exposure for you and your company.
Jan 28th, 2022
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Become an AI Exchange Contributor
AI Exchange's mission is to bring together AI/ML enginners, researchers and practitioners to share practical content and advice, participate in engaging online and in-person events, and connect with fellow members to foster meaningful connections. Here's how you can be a contributor.
Jan 28th, 2022