622 citations · 948 across the 19 of their papers we have counts for
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cs.LG2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation
Xin Yuan, Pedro Savarese, Michael Maire
We develop an approach to efficiently grow neural networks, within which parameterization and optimization strategies are designed by considering their effects on the training dyna…
cs.LG2023★ 1 cited
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao, Takumi Matsuzawa, William Irvine +2
Proper evaluations are crucial for better understanding, troubleshooting, interpreting model behaviors and further improving model performance. While using scalar-based error metri…