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Chenfei Lou

2 accepted papers

2023

Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference

AAAI 2023technical

By adding exiting layers to the deep learning networks, early exit can terminate the inference earlier with accurate results. However, the passive decision-making of whether to exit or continue the next layer has to go through every pre-placed exiting layer until it exits. In addition, it is hard to…

Cited by 25SourcePDFScholar
2022

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning

ICML 2022spotlight

Model fusion without accessing training data in machine learning has attracted increasing interest due to the practical resource-saving and data privacy issues. During the training process, the neural weights of each model can be randomly permuted, and we have to align the channels of each layer bef…