Calls for Papers > Call for Papers CAp

CAp is an interdisciplinary gathering of researchers at the intersection of machine learning, applied mathematics, and related areas. The submission website can be found here.

Submitted papers can be either in English or in French and we encourage several kind of submissions:

• Papers recently accepted (2023 or 2024) to high level conferences. These papers should be submitted in the original conference format (length and style). They will receive a single light review.
• Long original papers on the theme of machine learning theory and its applications. They should not exceed 12 pages in CAp format (excluding references and appendices, a suitable LaTeX template is available here). They will receive at least two reviews.
• Short papers that present original ideas and provide an opportunity to describe significant work in progress. They should be up to 8 pages long in CAp format (excluding references and appendices, a suitable LaTeX template is available here). They will receive at least two reviews.

This year, there will be no proceedings. The works accepted for presentation will be listed on the website with, optionally, a link to the full papers when provided by the authors.

All the accepted papers will be given the opportunity to be presented as posters at the conference. Some papers will also be presented in oral presentations, either during a CAp only session or during a CAp/RFIAP joint session (for papers that were more specifically identified as being at the intersection of the two conferences). These presentations are an opportunity to have constructive 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.

Key Dates and Deadlines

• Joint Event: 1-3 July 2024
• Submission website opens: 26th of February 2024
• CAp papers submission deadline: 27th of March 2024 3rd of April 2024
  
• Reviews due: 26th of April 2024 1st of May 2024
  
• Notification to authors for CAp papers: 3rd of May 2024 7th of May 2024
  
• Early bird registration deadline: 31st of May 2024

Topics

The conference and program chairs of CAp 2024 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 factorizatior
Optimal Transport for Machine Learning
Grammar induction
Kernel methods
Bayesian 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

• Trustworthy machine learning:
  

Fairness
Transparency
Interpretability and Explainability
Privacy and Security
Sustainability
Causality
Alignement and Auditing

• Applications:
  

Social network analysis
Temporal data analysis
Bioinformatic
Data mining
Neuroscience
Natural language processing
Information retrieval
Computer vision