Search Results for author:
Found 4 papers, 1 papers with code
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
However, current approaches in this realm lack the ability to perform commonsense reasoning upon facing an unseen situation, mostly due to incapability of identifying a diverse range of implicit social relations.
Neural-Symbolic Commonsense Reasoner with Relation Predictors
The dynamic nature of commonsense knowledge postulates models capable of performing multi-hop reasoning over new situations.
PatchProto Networks for Few-shot Visual Anomaly Classification
The visual anomaly diagnosis can automatically analyze the defective products, which has been widely applied in industrial quality inspection.
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification
For explainable fault detection and classification (FDC), this paper proposes a unified framework, ABIGX (Adversarial fault reconstruction-Based Integrated Gradient eXplanation).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
