Performance Analysis
STaR: Self-Taught Reasoner Bootstrapping Reasoning With Reasoning
Generating step-by-step "chain-of-thought" rationales improves language model
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
To address the above issues, we propose to imitate features with Pearson Correlation Coefficient to focus on the relational information from the teacher and relax constraints on the magnitude of the features.
Bayesian Optimization of Function Networks: Supplementary Material
We consider "make-to-order' in which custom
Spot the Difference: Detection of Topological Changes via Geometric Alignment
A recurring challenge is the alignment of domains whose topology is not the same; a problem that is routinely ignored, potentially introducing bias in downstream analysis.
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift Supplemental Materials A Nomenclature
Boldface denotes the best performing algorithm according to mean misclassification rate.
