Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotationsby David Tschirschwitz,…
A BERT-Based Summarization approach for depression detectionby Hossein Salahshoor Gavalan, Mohmmad Naim Rastgoo, Bahareh NakisaFirst…
Developing an Algorithm Selector for Green Configuration in Scheduling Problemsby Carlos March, Christian Perez, Miguel…
Machine Learning and Constraint Programming for Efficient Healthcare Schedulingby Aymen Ben Said, Malek MouhoubFirst submitted…
Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunitiesby Aaryan…
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Modelsby Rui Ye, Rui…
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositoriesby Ben Bogin, Kejuan…
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimationby Grace Colverd, Jumpei Takami, Laura…
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…