Search Results for author:
Found 3 papers, 1 papers with code
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Despite considerable theoretical progress in the training of neural networks viewed as a multi-agent system of neurons, particularly concerning biological plausibility and decentralized training, their applicability to real-world problems remains limited due to scalability issues.
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
Towards this goal, multiple tools have been proposed to aid a human examiner in reasoning about a network's behavior in general or on a set of instances.
Your Out-of-Distribution Detection Method is Not Robust!
Therefore, unlike OOD detection in the standard setting, access to OOD, as well as in-distribution, samples sounds necessary in the adversarial training setup.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
