Tag: Graph Self-Supervised Learning
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TinySSL: Self-Supervised Learning for Sub-MB MCU Models
Discover TinySSL, a novel self-supervised learning method boosting performance of sub-megabyte microcontroller models with efficient distillation.
Grounded Correspondence: Enhancing Temporal Consistency in Video Learning
Discover how Grounded Correspondence improves temporal consistency in video object-centric learning using deterministic matching without prediction models.
LoopVLA: Efficient Refinement for Vision-Language-Action AI
Discover LoopVLA, a novel recurrent model improving Vision-Language-Action tasks with efficient refinement and better robotic control accuracy.
Robust Graph Self-Supervised Learning for Noisy Biomedical Text
Explore robust graph self-supervised learning methods for noisy biomedical text-driven graphs, improving accuracy by up to 7% over language models.