Tag: knowledge distillation
Browse our exclusive articles!
Demographics-Agnostic Training for Fair Wake-up Word Detection
Explore how demographics-agnostic training reduces bias in wake-up word detection, improving fairness across sex, age, and accent groups.
Efficient Neural Network Compression: Prune-Quantize-Distill Pipeline
Discover an ordered pipeline combining pruning, quantization, and distillation for efficient neural network compression with low latency and high accuracy.
Reliable Multi-Teacher Distillation for Low-Resource Summarization
Enhance low-resource abstractive summarization with reliability-gated multi-teacher distillation using EWAD and CPDP mechanisms for better results.
Distilling ECGFounder into Efficient VQC Models for ECG Analysis
Explore how ECGFounder is distilled into compact VQC student models for efficient, accurate ECG classification using quantum and classical methods.
TED: Training-Free Knowledge Distillation for Multimodal AI
Discover TED, a training-free knowledge distillation method that boosts multimodal reasoning performance without costly model updates or large datasets.