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Found 3 papers, 2 papers with code
Conditional computation in neural networks: principles and research trends
This article summarizes principles and ideas from the emerging area of applying \textit{conditional computation} methods to the design of neural networks.
Cascaded Scaling Classifier: class incremental learning with probability scaling
The latter is a gated incremental classifier, helping the model modify past predictions without directly interfering with them.
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
The computational cost of transformer models makes them inefficient in low-latency or low-power applications.
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