Artificial Neural Networks Explore Color Naming System Similar To Humans
Language is probably humanity's most distinguishing attribute, but we still don't wholly comprehend many of its fundamental properties, for instance, how it...
Facebook AI Introduces A New Self-Supervised Learning Framework For Model Selection And Hyperparameter Tuning...
Researchers at Facebook AI have recently released a new self-supervised learning framework for model selection (SSL-MS) and hyperparameter tuning (SSL-HPT), which provides...
Introducing PyTorch Profiler – The New And Improved Performance Debugging Profiler For PyTorch
The analysis and refinement of the large-scale deep learning model's performance is a constant challenge that increases in importance with the model’s...
Facebook AI Researchers Introduces an Artificial Intelligence Project that Learns from Videos
Facebook developers are building an Artificial Intelligence project called 'Learning from Videos', capable of learning from publicly available videos. The project uses...
Facebook AI In Collaboration With New York University Research Team Introduce A Novel Self-Supervised...
Advancements in the field of self-supervised learning (SSL) for visual data have shown that training highly complex image representations without manual labels...
Facebook AI’s Latest Computer Vision Model SEER Teaches Itself To Classify A Billion Images...
Facebook recently unveiled an AI-driven SEER model that can analyze billions of images without any labels or captions, then detect and classify...
Facebook AI Presents Contrastive Semi-Supervised Learning (CSL): An AI Approach For Automatic Speech Recognition...
Researchers from Facebook have recently introduced a Contrastive Semi-supervised Learning (CSL) approach that synthesizes pseudo-labeling and contrastive losses to improve learned speech...
Facebook AI Introduces TimeSformer: A New Video Architecture Based Purely On Transformers
Facebook AI has built a new architecture for video understanding called TimeSformer. The video architecture is purely based on Transformers. Transformers have become the dominant approach...
The Mobile Vision Team at Facebook Introduces Detectron2Go (D2Go): A Detectron2 Extension For Training...
In 2019, Facebook AI Research released Detectron2 that gave developers an easy path to plugging custom modules into any object detection system....
Google and Facebook Introduce ‘LazyTensor’ That Enables Expressive Domain-Specific Compilers
Researchers at Facebook and Google introduce a new technique called ‘LazyTensor’ that combines eager execution and domain-specific compilers (DSCs) to employ both...
