Tag: Continual Learning

AI Machine Learning & Data Science Research

Forget About Catastrophic Forgetting: Google’s Continual HyperTransformer Enables Efficient Continual Few-Shot Learning

In the new paper Continual Few-Shot Learning Using HyperTransformers, a Google Research team proposes Continual HyperTransformer, which modifies the recently published HyperTransformer few-shot learning method to sequentially update a convolutional neural network’s weights based on the information in a new task without forgetting the knowledge it learned from previous tasks.

AI Machine Learning & Data Science Research

Meta AI & Mila Publicly Release BlenderBot 3: A 175B SOTA Chatbot That Continually Improves via Human Interactions

In the new paper BlenderBot 3: A Deployed Conversational Agent That Continually Learns to Responsibly Engage, researchers from Meta AI and Mila/McGill University release BlenderBot 3, a 175B parameter state-of-the-art open-domain dialogue model deployed on a public website. BlenderBot 3 is designed for continual learning via its user interactions.