Tag: deep learning
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GRALIS: Unified Framework for Linear Attribution in XAI
Discover GRALIS, a unified framework enhancing linear attribution methods in deep learning for improved model interpretability and performance.
Memory-Efficient EDA Denoising for Wearable IoT Devices
Optimize EDA signal quality in wearable IoT with memory-efficient denoising via knowledge distillation, effective under motion artifacts and underwater con...
Evolutionary Fine Tuning for Accurate Quantized CNN Models
Enhance quantized deep learning models using evolutionary strategies for better accuracy and efficiency in resource-limited AI applications.
Adaptive Token Routing Boosts Transformer Efficiency
Discover how Token-Selective Attention enables adaptive computation in transformers, reducing token-layer operations by up to 23% with minimal overhead.
Probabilistic Deep Learning for Dating Historical Manuscripts
Discover a novel probabilistic deep regression method for accurate dating of historical manuscripts using visual script features and uncertainty modeling.