Unverified50% confidenceTradeoffExact time
The reduced ancestor set compresses the graph traversal scale for a single gradient computation to polylogarithmic scale by truncating and retaining only a finite-depth ancestor set, with the bias introduced typically being controllable in practice.
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50%
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Long-term
Relevance
10/12/2026
First Seen
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Related Claims
UnverifiedGradient clipping works by proportionally scaling down the entire gradient vector when its norm exceeds a preset threshold, so that its norm equals exactly that threshold.72% similarUnverifiedSpectral pooling can reduce a feature map from any size to any smaller size by simply retaining the corresponding number of low-frequency DFT coefficients, whereas max pooling typically downsamples by integer factors.72% similarUnverifiedThis framework employs doubly stochastic optimization combined with a reduced ancestor set strategy, bringing the computational complexity per iteration down to polylogarithmic scale.70% similarUnverifiedRepeatedly applying the same set of weights can easily cause gradients to explode or vanish across multiple iterations, similar to the gradient problems of early RNNs.69% similar
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