The 2026 International Conference on Computer Science, Machine Learning and Intelligent Agents (CSMLA 2026) invites submissions of high-quality, original research papers. Topics of interest include, but are not limited to:
◕ Track 1: Machine Learning Theory & Foundations
Machine Learning Theory:Statistical Learning Theory, Computational Learning Theory, Optimization Algorithms, Online Learning, Ensemble Methods.
Deep Learning:Neural Network Architectures (e.g., Transformers, CNNs, RNNs, GNNs), Deep Learning Theory, Model Compression & Acceleration, Efficient Deep Learning.
Reinforcement Learning:Deep Reinforcement Learning, Multi-Agent Reinforcement Learning, Inverse Reinforcement Learning, Reward Design, RL Applications.
Other Paradigms:Unsupervised/Self-supervised Learning, Semi-supervised Learning, Transfer Learning, Meta-Learning, Few-Shot Learning.
◕ Track 2: Intelligent Agents & Multi-Agent Systems
Agent Theories & Architectures: Agent Cognitive Models, Belief-Desire-Intention (BDI) Architectures, Rational Decision Making, Negotiation & Game Theory.
Multi-Agent Systems (MAS):MAS Coordination, Collaboration, Communication, Distributed Problem Solving, Mechanism Design.
Autonomous Agents:Software Agents, Robotic Agents, Information Agents, Mobile Agents.
Application Systems:Intelligent Transportation Systems, Smart Grids, Distributed Monitoring, Automated Negotiation.
◕ Track 3: Artificial Intelligence Applications
Natural Language Processing (NLP): Large Language Models (LLMs), Text Generation, Machine Translation, Sentiment Analysis, Question Answering, Information Extraction.
Computer Vision (CV): Image/Video Recognition, Object Detection & Tracking, Image Generation, 3D Vision, Medical Image Analysis, Autonomous Driving Vision.
Data Mining & Knowledge Discovery: Big Data Analytics, Recommender Systems, Social Network Analysis, Anomaly Detection, Predictive Modeling.
Speech & Audio Processing: Speech Recognition, Speech Synthesis, Audio Event Detection, Music Information Retrieval.
◕ Track 4: Core Computer Science & Interdisciplinary Areas
Algorithms & Theory of Computation:Advanced Algorithm Design, Computational Complexity, Approximation Algorithms, Quantum Computing.
Systems & Security: AI System Security & Privacy, Adversarial Machine Learning, Explainable AI (XAI), AI Ethics & Governance, HPC for AI.
Human-Computer Interaction (HCI):Human-AI Collaboration, Human-Centered AI, Explainable User Interfaces, Intelligent UX Design.
Interdisciplinary Applications:Computational Biology, Bioinformatics, AI for Science, Smart Cities, FinTech, Digital Healthcare.
Other ...