Performance Analysis
43c6d9b0d11696f89c75157919a0334a-Paper-Conference.pdf
Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates.
GC-Bench: An Open and Unified Benchmark for Graph Condensation Appendix
We also provide public access to the official algorithm implementations. "KRR" is short for Kernel Ridge Regression and "CTC" is short for computation tree compression. "GNN" is short for Graph, "GNTK" is short for graph
On the Ability of Developers ' Training Data Preservation of Learnware
The learnware paradigm aims to enable users to leverage numerous existing well-trained models instead of building machine learning models from scratch.
Causal discovery with endogenous context variables
Context-dependent systems have been widely studied; see Mooij et al.
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang
In the context of modern machine learning, models deployed in real-world scenarios often encounter diverse data shifts like covariate and semantic shifts, leading to challenges in both out-of-distribution (OOD) generalization and detection.