Recent video-language models' (VidLMs) performance on various video-language tasks has been outstanding. Such multimodal models only come with drawbacks. For example, it is shown that vision-language models have difficulty understanding compositional and order relations in images,...
Language gives humans an extraordinary level of general intellect and sets them apart from all other creatures. Importantly, language not only helps people interact with others better, but it also improves our capacity to think. Before...
The least amount of data must be gathered by all businesses in order to avoid personally identifiable information from getting into the wrong hands.
The...
Self-supervised learning is a form of unsupervised learning in which the supervised learning task is constructed from raw, unlabeled data. Supervised learning is effective...
Imagine being able to create an image by dipping your digital paintbrush (in a metaphorical sense) in "black horse" paint, drawing the horse's particular...
Applying neural scaling laws to machine learning models, which means increasing the number of computations, the size of the model, and the number of...
From Deep Blue's victory over chess grandmaster Garry Kasparov to AlphaGo being the first computer program to defeat a Go World Champion, unbeatable superhuman...
Today's state-of-the-art AI systems for handling text, images, and other modalities achieve optimal performance by first training a massive model with a massive quantity...
In recent years, we have seen significant advancement in large language models (LLMs). From OpenAI’s GPT-3, which generates extremely accurate texts, to its open-source...
The scientific world has long acknowledged that proving mathematical theorems is an essential first step in developing artificial intelligence. To prove the truth or...
Meta introduces 'Tulip,' a binary serialization protocol supporting schema evolution. This simultaneously addresses protocol reliability and other issues and assists us with data schematization....
Vision transformers (ViT) were introduced to the literature two years ago, and they became a core component of computer vision research. Taking a component...
The machine learning community has recently concentrated a lot of its research on the best ways to leverage human feedback to enhance the performance...
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