2 papers
cs.LG2024
An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification
Ben Crulis, Barthelemy Serres, Cyril de Runz +1
Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in the size…
cs.CV2023
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection
Grégor Jouet, Clément Duhart, Francis Rousseaux +2
Out-of-domain (OOD) detection is a crucial component in industrial applications as it helps identify when a model encounters inputs that are outside the training distribution. Most…