Transformers, CNNs, Model Design, Deep Learning
MRI-Based Brain Tumor Detection through an Explainable EfficientNetV2 and MLP-Mixer-Attention Architecture
arxiv.org·2d
How Neural Super Sampling Works: Architecture, Training, And Inference
semiengineering.com·20h
XAI: Graph Neural Networks
pub.towardsai.net·11h
Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference
arxiv.org·23h
Smarter nucleic acid design with NucleoBench and AdaBeam
research.google·10h
Lessons from Studying Two-Hop Latent Reasoning
lesswrong.com·9h
DelGrad: exact event-based gradients for training delays and weights on spiking neuromorphic hardware
nature.com·2d
LiDAR Point Cloud Semantic Segmentation with Graph Neural Networks and Adaptive Attention Mechanisms
Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI
arxiv.org·23h
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