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Found 5 papers, 3 papers with code
AQuA: A Benchmarking Tool for Label Quality Assessment
We hope that our proposed design space and benchmark enable practitioners to choose the right tools to improve their label quality and that our benchmark enables objective and rigorous evaluation of machine learning tools facing mislabeled data.
Fluid Transformers and Creative Analogies: Exploring Large Language Models' Capacity for Augmenting Cross-Domain Analogical Creativity
Cross-domain analogical reasoning is a core creative ability that can be challenging for humans.
Graph Anomaly Detection with Unsupervised GNNs
This work aims to fill two gaps in the literature: We (1) design GLAM, an end-to-end graph-level anomaly detection model based on GNNs, and (2) focus on unsupervised model selection, which is notoriously hard due to lack of any labels, yet especially critical for deep NN based models with a long list of hyper-parameters.
Graph Based Temporal Aggregation for Video Retrieval
The node features of this graph are used in the task of video retrieval.
Optimization of Image Embeddings for Few Shot Learning
In this paper we improve the image embeddings generated in the graph neural network solution for few shot learning.
