人工智能期刊/会议投稿截稿日期汇总

ICONIP

会议全称：International Conference on Neural Information Processing

会议网址：http://www.iconip2023.org/

会议地点：Changsha, China

CCF分类：C类

Core分类：B类

H5指数：22

Impact Score：3.13

录取率：ICONIP'21 20.6% (226/1093)

IMPORTANT DATES:

♦ Paper Submission Deadline: Jun.10, 2023

♦ Notification of Acceptance: Jul.31, 2023

♦ Camera ready & Registration: Aug.20, 2023

♦ Conference Date: Nov.20-23, 2023

SPECIFIC AREAS OF INTEREST:

A. Theory and Algorithms

Causality and explainable AI

Computational intelligence

Control and decision theory

Constraint & uncertainty theory

Machine learning

Neurodynamics

Neural network models

Optimization

Pattern recognition

Time series analysis

B. Cognitive Neurosciences

Affective and cognitive learning

Biometric systems/interfaces

Brain-machine interface

Computational psychiatry

Neuroeconomics

Neural data analysis

Reasoning and consciousness

Sensory perception

Social cognition

C. Human Centred Computing

Bioinformatics

Biomedical information

Healthcare

Human activity recognition

Human-centred design

Human–computer interaction

Neuromorphic hardware

Recommender systems

Social networks

Sports and rehabilitation

D. Applications

Big data analysis

Computational finance

Image processing & computer vision

Data mining

Information security

Information retrieval

Multimedia information processing

Natural language processing

Robotics and control

Web search and mining

PRICAI

会议全称：Pacific Rim International Conference on Artificial Intelligence

会议网址：https://www.pricai.org/2023/

会议地点：Pittsburgh, PA, USA

CCF分类：C类

Core分类：B类

H5指数：9

Impact Score：1.32

录取率：PRICAI’22 30.1% (91+39/432)

IMPORTANT DATES:

Paper Submission: June 12, 2023

Acceptance Notification: July 31, 2023

Camera-Ready Submission: August 31, 2023

Workshops & Tutorials: November 15-16, 2023

AI-IMPACT: November 17-19, 2023

Conference: November 17-19, 2023

SPECIFIC AREAS OF INTEREST:

AI foundations

Applications of AI

Agents

Bayesian networks

Big data analytics

Bioinformatics

Bio-inspired intelligence

Cognitive systems

Cognitive computing

Constraint satisfaction

Data mining and knowledge discovery

Decision theory

Education and tutoring systems

Evolutionary computation

Games and interactive entertainment

Heuristics

Information retrieval and extraction

Internet of things

Knowledge acquisition and ontology

Knowledge management

Knowledge representation

AI regulations and ethics

Machine learning

Markov networks

Multimedia and arts

Multimodal interaction

Natural language processing

Neural networks and deep learning

Planning and scheduling

Probabilistic inference

Reasoning

Robotics

Search

Text/Web/Internet mining

Semantic Web

Social intelligence

Speech and dialogue systems

Uncertainty

Causality

Vision and perception

Responsible AI

Explainable AI

ACML

会议全称：Asian Conference on Machine Learning

会议网址：https://www.acml-conf.org/2023/

会议地点：İstanbul, Turkey

CCF分类：C类

Core分类：NA

H5指数：22

Impact Score：3

录取率：ACML’21   30.4%（115/378）

IMPORTANT DATES:

Conference Track

23 June 2023 Submission deadline

11 August 2023 Reviews released to authors

18 August 2023 Author rebuttal deadline

08 September 2023 Acceptance notification

29 September 2023 Camera-ready submission deadline

Journal Track

26 May 2023 Submission deadline

07 July 2023 1st round review results (accept, minor revision, or reject)

11 August 2023 Revised manuscript submission deadline (for minor revision papers)

08 September 2023 Acceptance notification

29 September 2023 Camera-ready submission deadline

SPECIFIC AREAS OF INTEREST:

Topics of interest include but are not limited to:

General machine learning

Active learning

Bayesian machine learning

Dimensionality reduction

Feature selection

Graphical models

Imitation Learning

Latent variable models

Learning for big data

Learning from noisy supervision

Learning in graphs

Multi-objective learning

Multiple instance learning

Multi-task learning

Neuro-symbolic learning

Online learning

Optimization

Reinforcement learning

Relational learning

Semi-supervised learning

Sparse learning

Structured output learning

Supervised learning

Transfer learning

Unsupervised learning

Other machine learning methodologies

Deep learning

Architectures

Attention mechanism and transformers

Deep learning theory

Deep reinforcement learning

Generative models

Supervised learning

Other topics in deep learning

Theory

Bandits

Computational learning theory

Game theory

Matrix/tensor methods

Optimization

Statistical learning theory

Other theories

Datasets and reproducibility

Implementations, libraries

ML datasets and benchmarks

Other topics in reproducible ML research

Trustworthy machine learning

Accountability, explainability, transparency

Causality

Fairness

Privacy

Robustness

Other topics in trustworthy ML

Applications

Bioinformatics

Biomedical informatics

Climate science

Collaborative filtering

Computer vision

COVID-19 related research

Healthcare

Human activity recognition

Information retrieval

Natural language processing

Social good

Social networks

Web search

CoNLL

会议全称：The SIGNLL Conference on Computational Natural Language Learning

会议网址：https://www.conll.org/2023

会议地点：Singapore

CCF分类：C类

Core分类：A类

H5指数：44

Impact Score：5.8

录取率：CoNLL’22   28/102（27.4%）

IMPORTANT DATES:

Conference Track

Anonymity period begins: May 30, 2022

Submission deadline: Friday June 30, 2023

Notification of acceptance: Friday, October 6, 2023

Camera ready papers due: Friday, October 20, 2023

Conference: December 6 – 7, 2023

SPECIFIC AREAS OF INTEREST:

Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP

Models of first, second and bilingual language acquisition by humans

Models of language evolution and change

Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments

Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods

Data resources, techniques and tools for scientifically-oriented research in computational linguistics

Connections between computational models and formal languages or linguistic theories

Linguistic typology, translation, and other multilingual work

Theoretically, cognitively and scientifically motivated approaches to text generation

We welcome work targeting any aspect of language, including:

Speech and phonology

Syntax and morphology

Lexical, compositional and discourse semantics

Dialogue and interactive language use

Sociolinguistics

Multimodal and grounded language learning

EMNLP

会议全称：Conference on Empirical Methods in Natural Language Processing

会议网址：https://2023.emnlp.org/

会议地点：Singapore

CCF分类：B类

Core分类：NA

H5指数：154

Impact Score：9.24

录取率：EMNLP’22 29.79%(1377/4622)

IMPORTANT DATES:

Anonymity period begins May 23, 2023

Abstract deadline for direct submissions    June 16, 2023

Direct paper submission deadline (long & short papers) June 23, 2023

Submission deadline for ARR papers        July 21, 2023

Author response period   Aug 22 – Aug 28, 2023

Notification of acceptance (long & short papers)    Oct 6, 2023

Camera-ready papers due (long & short papers)     Oct 20, 2023

Workshops & Tutorials & Conference      December 6-10, 2023

SPECIFIC AREAS OF INTEREST:

EMNLP 2023 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order):

Commonsense Reasoning

Computational Social Science and Cultural Analytics

Dialogue and Interactive Systems

Discourse and Pragmatics

Efficient Methods for NLP

Ethics in NLP

Human-Centered NLP

Information Extraction

Information Retrieval and Text Mining

Interpretability, Interactivity and Analysis of Models for NLP

Language Grounding to Vision, Robotics and Beyond

Language Modeling and Analysis of Language Models

Linguistic Theories, Cognitive Modeling and Psycholinguistics

Machine Learning for NLP

Machine Translation

Multilinguality and Linguistic Diversity

Natural Language Generation

NLP Applications

Phonology, Morphology and Word Segmentation

Question Answering

Resources and Evaluation

Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc.

Sentiment Analysis, Stylistic Analysis, and Argument Mining

Speech and Multimodality

Summarization

Syntax, Parsing and their Applications

Theme Track