#Theoretical foundations of neural network sparsity
Latest news articles tagged with "Theoretical foundations of neural network sparsity". Follow the timeline of events, related topics, and entities.
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🇺🇸 Sign Lock-In: Randomly Initialized Weight Signs Persist and Bottleneck Sub-Bit Model Compression
[USA]
arXiv:2602.17063v1 Announce Type: cross Abstract: Sub-bit model compression seeks storage below one bit per weight; as magnitudes are aggressively compressed, the sign bit becomes a fixed-cost bottle...
Related: #Model compression, #Weight sign dynamics in deep learning, #Statistical analysis of stochastic training, #Optimization techniques for sub‑bit quantization
About the topic: Theoretical foundations of neural network sparsity
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