Unverified50% confidenceFactExact time
In GDN, quantization residuals do not merely exist as noise but are amplified or persisted through the gating and Delta updates, thereby distorting all subsequent readouts, so their harm is greater than that of ordinary accumulators.
1
Sources
50%
Confidence
Long-term
Relevance
10/30/2026
First Seen
Sources
Related Entities
Related Claims
Unverified扩散模型通过逐步去噪的生成机制产生的频域异常比GAN更微弱且分布不规律，使传统基于频域分析或GAN指纹的检测方法效果大打折扣72% similarUnverified膨胀、过时、充满噪声的评估集比没有评估集更糟糕，因为它会给出误导性的信号68% similarUnverifiedReconstructing individual events may cause MLM to overemphasize noisy or low-information observations and waste its capacity on low-value signals.67% similarVerifiedStochastic gradient descent (SGD) uses only one sample at a time, which is fast but produces noisy update directions.66% similarUnverifiedStandard GNN message passing suffers from over-squashing, where information from distant nodes is gradually diluted during propagation as the number of layers increases.65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1114521API
curl https://kongchang.com/api/v1/knowledge/claims/1114521MCP
get_claim(id=1114521)