2022
To update or not to update? Neurons at equilibrium in deep models
NeurIPS 2022accept
Recent advances in deep learning optimization showed that, with some a-posteriori information on fully-trained models, it is possible to match the same performance by simply training a subset of their parameters. Such a discovery has a broad impact from theory to applications, driving the research t…