UCB1

Researchers propose a loss-aware feature-map pruning framework for convolutional neural networks that uses multi-armed bandits (UCB1 and Thompson Sampling) to identify and remove redundant feature map…

A developer demonstrates that using an LLM agent to pick A/B variants is flawed because the model lacks concepts of sample size and exploration, leading to suboptimal decisions. Instead, they show how…