Search Results for author:
Found 3 papers, 0 papers with code
Similarity-Navigated Conformal Prediction for Graph Neural Networks
In this paper, we empirically show that for each node, aggregating the non-conformity scores of nodes with the same label can improve the efficiency of conformal prediction sets.
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Real-world vision models in dynamic environments face rapid shifts in domain distributions, leading to decreased recognition performance.
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels
We introduce LaplaceConfidence, a method that to obtain label confidence (i. e., clean probabilities) utilizing the Laplacian energy.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
