Scholar Inbox is a personal paper recommendation tool developed at the University of Tübingen. It enables researchers to stay up-to-date with the most relevant progress in their field based on their personal research interests.
The tool daily indexes all of arXiv as well as many open access proceedings in Machine Learning (NeurIPS, ICLR, AAAI, AISTATS, ICML, ACML, COLT), Computer Vision (CVPR, ECCV, WACV, ICCV) and Natural Language Processing (ACL, EMNLP, COLING, EACL, NAACL). Scholar Inbox collects papers into daily or weekly digests. Using just a few votes, researchers can improve their personal AI-based recommendations. Scholar Inbox also offers advanced and very fast search functionality and several paper skimming aids.
We plan to keep Scholar Inbox free of charge and to integrate many more features in the future. Registration takes only a few steps. We are excited to hear your feedback. Join us today at https://www.scholar-inbox.com and never miss a beat again!