ENTITY
random feature networks
random feature networks
PulseAugur coverage of random feature networks — every cluster mentioning random feature networks across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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Random Feature Networks Show Quadratic Generalization Improvement
Researchers have explored weak-to-strong generalization in two-layer random feature networks, where a student model trained on data from a weaker teacher model achieves better performance. Using random matrix theory, th…
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New RNNs bypass gradient descent using Koopman operator theory
Researchers have developed Koopman-informed recurrent neural networks (RNNs) that bypass traditional gradient-based training methods like backpropagation through time. This novel approach combines random feature network…