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Found 2 papers, 1 papers with code
Distilling Global and Local Logits With Densely Connected Relations
In prevalent knowledge distillation, logits in most image recognition models are computed by global average pooling, then used to learn to encode the high-level and task-relevant knowledge.
Ranked #31 on
Knowledge Distillation
on ImageNet
Hybrid Weight Representation: A Quantization Method Represented with Ternary and Sparse-Large Weights
To solve this problem, we propose a hybrid weight representation (HWR) method which produces a network consisting of two types of weights, i. e., ternary weights (TW) and sparse-large weights (SLW).
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