Contrastive Learning

X-CLR: Enhancing Image Recognition with Recent Contrastive Loss Functions

AI-driven image recognition is transforming industries, from healthcare and security to autonomous vehicles and retail. These systems analyze vast amounts of visual data, identifying patterns and objects with remarkable accuracy. Nevertheless, traditional image recognition...

Ecologists find computer vision models’ blind spots in retrieving wildlife images

Try taking an image of every of North America's roughly 11,000 tree species,...

From Prompt Engineering to Few-Shot Learning: Enhancing AI Model Responses

Artificial Intelligence (AI) has witnessed rapid advancements over the past few years, particularly in Natural Language Processing (NLP). From chatbots that simulate human conversation to classy models that may draft essays and compose poetry,...

Understanding the visual knowledge of language models

You’ve likely heard that an image is price a thousand words, but...

Recent algorithm discovers language just by watching videos

Mark Hamilton, an MIT PhD student in electrical engineering and computer science...

Synthetic imagery sets recent bar in AI training efficiency

Data is the brand new soil, and on this fertile recent ground,...

Latest model offers a strategy to speed up drug discovery

Huge libraries of drug compounds may hold potential treatments for quite a...

Scaling audio-visual learning without labels

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere...

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