5 papers
RADIN: Souping on a Budget
Thibaut Menes, Olivier Risser-Maroix
Model Soups, extending Stochastic Weights Averaging (SWA), combine models fine-tuned with different hyperparameters. Yet, their adoption is hindered by computational challenges due…
Prompt Performance Prediction for Image Generation
Nicolas Bizzozzero, Ihab Bendidi, Olivier Risser-Maroix
The ability to predict the performance of a query before results are returned has been a longstanding challenge in Information Retrieval (IR) systems. Inspired by this task, we int…
Fine-tune your Classifier: Finding Correlations With Temperature
Benjamin Chamand, Olivier Risser-Maroix, Camille Kurtz +2
Temperature is a widely used hyperparameter in various tasks involving neural networks, such as classification or metric learning, whose choice can have a direct impact on the mode…
What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix, Benjamin Chamand
This paper seeks to answer the following question: \textit{"What can we learn by predicting accuracy?"}. Indeed, classification is one of the most popular tasks in machine learning…
Learning an Adaptation Function to Assess Image Visual Similarities
Olivier Risser-Maroix, Amine Marzouki, Hala Djeghim +2
Human perception is routinely assessing the similarity between images, both for decision making and creative thinking. But the underlying cognitive process is not really well under…