Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks.
Brandon MorganDean HougenPublished in: CoRR (2024)
Keyphrases
- loss function
- image features
- classifier training
- empirical risk
- support vector
- image classification
- convolutional neural networks
- image retrieval
- similarity measure
- feature extractor
- multiscale
- logistic regression
- image segmentation
- support vector machine
- learning to rank
- risk minimization
- bayes rule
- convolutional network
- reproducing kernel hilbert space
- regularization term
- energy function
- training set
- feature space
- training data