AI/CORE Unranked

CAp 2026

Conférence sur l'Apprentissage automatique (CAp) 2026

1783288800000Montpellier, FranceOfficial conference site Site reachable

CAp 2026 and RFIAP 2026 are jointly organized conferences in Montpellier, France, bringing together machine learning and pattern recognition communities. The co-location fosters interdisciplinary discussions, with separate submission tracks but planned joint sessions, and no formal proceedings — accepted work is presented as posters or oral talks.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Papers recently accepted at major international conferences

Papers accepted in 2025 or 2026 at conferences like NeurIPS, ICML, ICLR, AISTATS, etc., submitted in original format and automatically accepted after topic verification. Includes a late track for ICML 2026 papers.

Long original papers

Original papers up to 12 pages in CAp format (excluding references and appendices), receiving at least two reviews.

Short original papers

Original papers up to 8 pages in CAp format (excluding references and appendices), describing significant work in progress, receiving at least two reviews.

Long papers (RFIAP)

Research papers 6 to 8 pages long (plus up to 2 pages for references), submitted in French or English.

Short papers/summaries (RFIAP)

Short papers of 2 pages (plus up to 1 page for references), describing preliminary work, interdisciplinary research, or early-stage results.

Papers already accepted in international conferences or journals (RFIAP)

Papers previously accepted in international venues, submitted in original format without reformatting, for presentation at RFIAP without inclusion in proceedings.

Research areas in scope

CAp Topics

Learning theory, models and paradigmsActive learningOnline learningMulti-target, multi-task, multi-instance, multi-view and transfer learningSupervised, unsupervised and semi-supervised learningReinforcement learningRelational learningRepresentation learningSymbolic learningBandit algorithmsMatrix and tensor factorizationOptimal Transport for Machine LearningGrammar inductionKernel methodsBayesian methodsStochastic processesEnsemble learning and boostingGraphical modelsGaussian processNeural networks and deep learningLearning theoryGame theoryOptimization and related problemsLarge-scale machine learning and optimizationOptimization algorithmsDistributed optimizationMachine learning and structured data (spatio-temporal data, tree, graph)Classification with missing valuesTrustworthy machine learningFairnessTransparencyInterpretability and ExplainabilityPrivacy and SecuritySustainabilityCausalityAlignement and AuditingApplications: HealthSocial network analysisTemporal data analysisBioinformaticData miningNeuroscienceNatural language processingInformation retrievalComputer visionAgroecology

RFIAP Topics

Analyse de documentsAnalyse de vidéosAnalyse et compréhension de scènesApplications de la Vision par ordinateurApprentissage non-supervisé, semi-supervisé, par transfert, à partir de peu d'exemplesApprentissage de représentationsBiométrieFusion de donnéesGéométrie discrèteImagerie médicale ou biologique, bioinformatiqueIndexation et recherche d'images, de sons, de vidéos ou de données multimodalesInteraction multimodale et gestuelleMéthodes d'optimisation et d'apprentissageModélisations mathématiques en reconnaissance des formes et perceptionRecalage d'imagesReconnaissance d'objets, de visages, d'actions, de gestesReconstruction 3DSegmentation d'imagesSuivi d'objetsVision et langage naturelVision pour la robotique et les véhicules autonomes, SLAM, interaction avec les robotsVision pour la synthèse d'images

Policies worth checking twice

Submitted papers can be in English or French.
No proceedings will be published; accepted papers are listed on the website with optional links to full papers.
All accepted papers are guaranteed a poster presentation; some are selected for oral presentations.
Papers already accepted at major international conferences are eligible for submission and automatic acceptance (CAp) or presentation (RFIAP).
For RFIAP, submissions do not need to be anonymized.
For RFIAP, appendices can be concatenated to the main paper for previously accepted submissions.
Papers accepted in journals are eligible for RFIAP submission.
CAp papers receive at least two reviews; RFIAP papers are reviewed privately and decisions are not publicly visible.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Official conference site Call for Papers CAp Call for Papers RFIAP Program Program CAp Program RFIAP

Last verified September 9, 2026