Tag: knowledge distillation

Researchers have unveiled a weakly supervised AI framework that segments crops, weeds and soil from image-level labels alone, achieving 76.04 ...

Researchers compressed transformer-based tabular neural networks by up to 38-fold using knowledge distillation and deployed them on an NVIDIA Jetson ...

Researchers at Shenzhen Technology University report a LiDAR segmentation framework that reaches 74.4 percent mean IoU on SemanticKITTI and 83.5 ...

Researchers have developed a spectrum-guided, teacher–student AI framework that adapts its time windows to the rhythms of unlabeled system logs ...

Researchers have released EmbedKD, an open-source toolkit that brings verified diagnostics, retrieval protocols and reproducible deployment checks to the compression ...

Researchers have developed SRRI, a source-free domain adaptation method that uses CLIP as an external verifier to de-bias pseudo-source domains ...

Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...

Researchers have developed a memory-augmented self-distillation framework that boosts graph neural network accuracy by 2.5 to 6 percent across benchmark ...

Japanese researchers have built a deep learning model that detects neonatal pneumothorax on chest X-rays with an AUC of 0.975, ...

Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...