Unverified50% confidenceFactExact time
NRALD targets sampling from non-differentiable distributions on constrained spaces, employing a normal reflection mechanism at the boundary.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedFD-VAD uses boundary-focused hard negative sampling to strengthen the model's ability to discriminate ambiguous turn boundaries during training.68% similarUnverifiedThe core mechanisms of NSGA-II include non-dominated sorting (layering by Pareto fronts) and crowding distance (measuring the sparsity of individuals in objective space).66% similarUnverified双线性插值用于掩码会在边界产生0.1、0.3等中间值，阈值化处理会引入边界偏移误差，影响IoU精度63% similarUnverifiedConditional coverage is stronger than marginal coverage, requiring that the target coverage rate be maintained for any given input condition, whereas marginal coverage only guarantees coverage in an expected sense across all test samples.62% similarUnverifiedThe paper proposes the causal probe method, which restricts the training of linear probes to the causally effective low-dimensional subspace.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/990850API
curl https://kongchang.com/api/v1/knowledge/claims/990850MCP
get_claim(id=990850)