Oct 16, 2018 · Abstract:We characterize a prevalent weakness of deep neural networks (DNNs)---overthinking---which occurs when a DNN can reach correct ...
The Shallow-Deep Network (SDN) is proposed, a generic modification to off-the-shelf DNNs that introduces internal classifiers that can mitigate the wasteful ...
May 9, 2019 · We characterize a prevalent weakness of deep neural networks (DNNs)—overthinking—which occurs when a DNN can reach correct predic-.
Understanding overthinking requires studying how each prediction evolves during a DNN's forward pass, which conventionally is opaque. For prediction ...
This repository contains the code for reproducing the results in our paper: Shallow-Deep Networks: Understanding and Mitigating Network Overthinking · Yigitcan ...
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ... Shallow-Deep Networks: Understanding and Mitigating Network Overthinking.
Apr 25, 2022 · Bibliographic details on Shallow-Deep Networks: Understanding and Mitigating Network Overthinking.
Shallow-Deep Networks: Understanding and Mitigating Network Overthinking. Y Kaya, S Hong, T Dumitras. International Conference on Machine Learning, 3301-3310, ...
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Dec 17, 2023 · They can also be prone to problems like overfitting, where the network memorizes the training data instead of truly understanding the underlying ...