Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environmentby Atah Nuh…
Fast and reliable uncertainty quantification with neural network ensembles for industrial image classificationby Arthur Thuy,…
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Modelsby Akhil Kedia, Mohd Abbas…
Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networksby Brandon Morgan, Dean HougenFirst…
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiersby Francesco Dibitonto, Fabio Garcea, André Panisson,…
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Modelsby…
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learningby Mark D. McDonnell,…
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edgeby Hasanul Mahmud, Peng…
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscapeby…
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Setsby Lorenzo Brigato,…