人工智能2021截稿日期_2021年 人工智能 顶级会议 截稿日期纵览

ICAPS

会议全称：International Conference on Automated Planning and Scheduling 会议网址：http://icaps21.icaps-conference.org/ 会议地点：Guangzhou, China CCF分类：B 类 Core分类：A*类 H5指数：28 录取率：32% (69/216)

截稿日期：2020年12月18日 评审结果：2021年02月16日 会议时间：2021年06月07日

SPECIFIC AREAS OF INTEREST: Applications and case studies of planning and scheduling techniques Uncertainty and stochasticity in planning and scheduling Partially observable and unobservable domains Conformant, contingent and adversarial planning Plan and schedule execution, monitoring and repair Continuous planning, on-line and real-time domains Plan recognition, plan management and goal reasoning Classical planning techniques and analysis Continuous state and action spaces based planning Multi-agent and distributed planning Action model learning, knowledge acquisition and engineering Learning for planning and scheduling Human computer interaction for planning and scheduling systems Mixed initiative planning and scheduling systems Mixed planning with continuous and discrete actions Planning and decision support for human-machine teams Human-aware planning and behavior prediction Planning for explainable machine learning

IJCNN

会议全称：International Joint Conference on Neural Networks 会议网址：https://www.ijcnn.org 会议地点：Shenzhen, China CCF分类：C 类 Core分类：A 类 H5指数：36 录取率：57% (1134/1989)

截稿日期：2021年01月15日 评审结果：2021年03月15日 会议时间：2021年07月18日

SPECIFIC AREAS OF INTEREST: Agent-based Systems Artificial Life Bioinformatics Brain-machine Interfaces Cognitive Models Collective Intelligence Computational Neuroscience Connectomics Data Mining Deep Learning Deep Neuro Fuzzy Systems Embodied Robotics Evolving Neural Networks Hardware, Memristors Hybrid Systems Machine Learning Machine Perception Neural Network Applications Neural Networks and Big Data Neurodynamics Neuroengineering Neuroinformatics Pattern Recognition Philosophical Issues Self-aware Systems Sensor networks Social Media Theory on Neural Networks

IJCAI

会议全称：International Joint Conference on Artificial Intelligence 会议网址：https://ijcai-21.org/ 会议地点：Montreal, Quebec, Canada CCF分类：A 类 Core分类：A*类 H5指数：67 录取率：12.6% (592/4717)

截稿日期：2021年01月18日 评审结果：2021年04月25日 会议时间：2021年08月21日

SPECIFIC AREAS OF INTEREST: Not specified

COLT

会议全称：Annual Conference on Computational Learning Theory 会议网址：http://learningtheory.org/colt2021/ 会议地点：Boulder, Colorado CCF分类：B 类 Core分类：A*类 H5指数：48 录取率：30/9% (120/388)

截稿日期：2021年01月29日 评审结果：2021年05月14日 会议时间：2021年07月07日

SPECIFIC AREAS OF INTEREST: Design and analysis of learning algorithms Statistical and computational complexity of learning Optimization methods for learning, including online and stochastic optimization Theory of artificial neural networks, including deep learning Theoretical explanation of empirical phenomena in learning Supervised learning Unsupervised, semi-supervised learning, domain adaptation Learning geometric and topological structures in data, manifold learning Active and interactive learning Reinforcement learning Online learning and decision-making Interactions of learning theory with other mathematical fields High-dimensional and non-parametric statistics Kernel methods Causality Theoretical analysis of probabilistic graphical models Bayesian methods in learning Game theory and learning Learning with system constraints (e.g., privacy, fairness, memory, communication) Learning from complex data (e.g., networks, time series) Learning in neuroscience, social science, economics and other subjects

ACL

会议全称：Annual Meeting of the Association for Computational Linguistics 会议网址：https://2021.aclweb.org 会议地点：Bangkok, Thailand CCF分类：A 类 Core分类：A*类 H5指数：106 录取率：22.7% (779/3429)

截稿日期：2021年02月01日 评审结果：2021年05月05日 会议时间：2021年08月01日

SPECIFIC AREAS OF INTEREST: Computational Social Science and Social Media Dialogue and Interactive Systems Discourse and Pragmatics Ethics and NLP Generation Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Grounding to Vision, Robotics and Beyond Linguistic theories, Cognitive Modeling and Psycholinguistics Machine Learning for NLP Machine Translation and Multilinguality NLP Applications Phonology, Morphology and Word Segmentation Question Answering Resources and Evaluation Semantics: Lexical Semantics: Sentence-level Semantics, Textual Inference and Other areas Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech and Multimodality Summarization Syntax: Tagging, Chunking and Parsing Theme (TBA)

ICML

会议全称：International Conference on Machine Learning 会议网址：https://icml.cc/Conferences/2021 会议地点：Virtual CCF分类：A 类 Core分类：A*类 H5指数：198 录取率：21.8% (1088/4990)

截稿日期：2021年02月04日 评审结果：2021年05月08日 会议时间：2021年07月18日

SPECIFIC AREAS OF INTEREST: General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, etc.) Deep Learning (architectures, generative models, deep reinforcement learning, etc.) Learning Theory (bandits, game theory, statistical learning theory, etc.) Optimization (convex and non-convex optimization, matrix/tensor methods, sparsity, etc.) Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.) Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.) Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)

GECCO

会议全称：Genetic and Evolutionary Computation Conference 会议网址：https://gecco-2021.sigevo.org 会议地点：Lille, France CCF分类：C 类 Core分类：A 类 H5指数：26 录取率：39% (178/462)

截稿日期：2021年02月04日 评审结果：2021年03月26日 会议时间：2021年07月10日

SPECIFIC AREAS OF INTEREST: ACO-SI - Ant Colony Optimization and Swarm Intelligence CS - Complex Systems (Artificial Life, Artificial Immune Systems, Generative and Developmental Systems, Evolutionary Robotics, Evolvable Hardware) ECOM - Evolutionary Combinatorial Optimization and Metaheuristics EML - Evolutionary Machine Learning EMO - Evolutionary Multiobjective Optimization ENUM - Evolutionary Numerical Optimization GA - Genetic Algorithms GECH - General Evolutionary Computation and Hybrids GP - Genetic Programming NE - Neuroevolution (NEW) RWA - Real World Applications SBSE - Search-Based Software Engineering THEORY - Theory

ICDAR

会议全称：International Conference on Document Analysis and Recognition 会议网址：https://icdar2021.org/ 会议地点：Lausanne, Switzerland CCF分类：C 类 Core分类：A 类 H5指数：26 录取率：13% (52/403)

截稿日期：2021年02月08日 评审结果：2021年04月26日 会议时间：2021年09月08日

SPECIFIC AREAS OF INTEREST: Document image processing Physical and logical layout analysis Text and symbol recognition Handwriting recognition Document analysis systems Document classification Indexing and retrieval of documents Document synthesis Extracting document semantics NLP for document understanding Document summarization and translation Office automation Human document interaction Multimedia document analysis Mobile text recognition Pen‐based document analysis Scene text detection and recognition Graphics recognition Recognition of tables and formulas Historical document analysis Signature verification Document forensics and provenance analysis Medical document analysis Document analysis for social good Document analysis for literature search Gold-standard benchmarks and data sets

UAI

会议全称：International Conference on Uncertainty in Artificial Intelligence 会议网址：http://auai.org/uai2021/dates.php 会议地点： CCF分类：B 类 Core分类：A*类 H5指数：33 录取率：26% (118/450)

截稿日期：2021年02月19日 评审结果：2021年05月12日 会议时间：2021年07月26日

SPECIFIC AREAS OF INTEREST: For reference, below is the list of subject areas that will appear to authors and reviewers in the CMT conference management system: Algorithms Approximate Inference Belief Propagation Exact Inference MCMC methods Optimization Application Biology Education Health Planning and Control Privacy and Security Fairness Robotics Natural Language Processing Sustainability and Climate Text and Web Data User Models Vision Learning Active Learning Classification Clustering Deep Learning Nonparametric Bayes Online and Anytime Learning Parameter Estimation Probabilistic Generative Models Ranking Recommender Systems Regression Reinforcement Learning Relational Learning Semi-Supervised Learning Structure Learning Structured Prediction Theory Unsupervised Methodology Bayesian Methods Calibration Elicitation Evaluation Human Expertise and Judgement Probabilistic Programming Relational Spatial Temporal or Sequential Models Bayesian Networks Directed Graphical Models Dynamic Bayesian Networks Markov Decision Processes Mixed Graphical Models Topic Models Undirected Graphical Models Principles Causality Cognitive Models Decision Theory Game Theory Information Theory Probability Theory Statistical Theory Representation Constraints Dempster-Shafer Influence Diagrams