CAp2022: Conférence sur l'Apprentissage automatique 2022 Campus de Tohannic Rue André Lwoff CS 60573 Vannes, France, July 5-8, 2022 |
Conference website | https://caprfiap2022.sciencesconf.org/ |
Submission link | https://easychair.org/conferences/?conf=cap2022 |
Submission deadline | April 1, 2022 |
CAp is an interdisciplinary gathering of researchers at the intersection of machine learning, applied mathematics, and related areas.
We encourage the submission of recent papers accepted to high-level conferences and journals in Machine Learning.
Submitted papers can be either in English or in French and we encourage two types of submissions:
- Full research papers on the theme of machine learning theory and its applications should not exceed 10 pages in CAp double-column format (including references and figures). A suitable LaTeX template for CAp is available *here*.
- Short papers can be up to four to 6 pages using the same format as Full papers. They present original ideas and provide an opportunity to describe significant work in progress.
Some accepted papers will be presented in a *long* (20 minutes) oral presentation and all the accepted papers will be given the opportunity to be presented as a spotlight (3 minutes) and as a poster at the conference. These presentations are an opportunity to have constructing and rigorous feedback, as well as to establish contacts with members of the french machine learning community. PhD Students are particularly welcome and encouraged to submit papers. Contributions will be freely distributed on the conference website, subject to approval by the authors. The conference and program chairs of CAp 2020 invite those working in areas related to any aspect of machine learning to submit original papers for review. Solicited topics include, but are not limited to:
Learning theory, models and paradigms: Active learning; Online learning; Multi-target, multi-task, multi-instance, multi-view and transfer learning Supervised, unsupervised and semi-supervised learning;Reinforcement learning Relational learning Representation learning Symbolic learning Bandit algorithms Matrix and tensor factorization Grammar induction Kernel methods Bayesian methods Spectral methods Stochastic processes Ensemble learning and boosting Graphical models Gaussian process Neural networks and deep learning Learning theory Game theory Optimization et related problems: Large-scale machine learning and optimization Optimization algorithms Distributed optimization Machine learning and structured data (spatio-temporal data, tree, graph) Classification with missing values Applications: Social network analysis Temporal data analysis Bioinformatic Data mining Neuroscience Natural language processing Information retrieval Computer vision
Key dates: - Joint Event: 5-8 July 2022 - Cap papers submission deadline: 1 April 2022 - Notification to authors for CAp papers: 17 May 2020 - Early bird registration for the conference: 29th May 2020