Experiment 25
The blog post describes a reinforcement learning benchmark environment for cloud resource allocation that uses RL algorithms to learn optimal VM scheduling p...
claude
Experiment 24
The blog post demonstrates that few-shot LLMs can match 96% of fine-tuned model accuracy on scene graph extraction with 103x faster inference.
Experiment 23
The blog post describes a fork of the DE-ViT algorithm that adapts it for few-shot object detection on satellite imagery by using DINOv3 vision transformers ...
Experiment 22
The blog post introduces CoBAD (Collective Behavior Anomaly Detection), a deep learning approach that detects anomalous group behaviors in human mobility dat...
Experiment 21
This post converts GPS trajectory data into learned embedded features to reveal human mobility patterns, enabling applications in urban planning, personalize...