arXiv is an e-print service in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance and statistics.

NIPS is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers.

ICML is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).

A conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.

The program for CVPR consists of high quality contributed papers on all aspects of computer vision and pattern recognition.

Empirical Methods in Natural Language Processing or EMNLP is a leading conference in the area of Natural Language Processing. EMNLP is organized by the ACL special interest group on linguistic data (SIGDAT).

PLOS Biology features works of exceptional significance, originality, and relevance in all areas of biological science, from molecules to ecosystems, including works at the interface of other disciplines, such as chemistry, medicine, and mathematics. We also welcome data-driven meta-research articles that evaluate and aim to improve the standards of research in the life sciences and beyond. Our audience is the international scientific community as well as educators, policy makers, patient advocacy groups, and interested members of the public around the world.

ICCV is the premier international Computer Vision event comprising the main ICCV conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

ECCV is a selective single-track conference on computer vision. High quality previously unpublished research contributions are sought on any aspect of computer vision.

The annual ACM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. The conference includes a fascinating technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative technology, an industrial exhibition to meet companies and publishers, and a careers-in-industry panel with representatives from leading companies.

The Medical Image Computing and Computer Assisted Intervention Society (the MICCAI Society) is dedicated to the promotion, preservation and facilitation of research, education and practice in the field of medical image computing and computer assisted medical interventions including biomedical imaging and robotics, through the organization and operation of regular high quality international conferences and publications which promote and foster the exchange and dissemination of advanced knowledge, expertise and experience in the field produced by leading institutions and outstanding scientists, physicians and educators around the world. The MICCAI Society is committed to maintaining high academic standards and independence from any personal, political or commercial vested interests.

The purpose of the AAAI conference is to promote research in artificial intelligence (AI) and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines.

JMLR provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning.

The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

TPAMI publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.

Articles are intended for readers with backgrounds in all areas of computer science and information systems. The focus is on the practical implications of advances in information technology and associated management issues.

bioRxiv (pronounced "bio-archive") is a free online archive and distribution service for unpublished preprints in the life sciences. It is operated by Cold Spring Harbor Laboratory, a not-for-profit research and educational institution. By posting preprints on bioRxiv, authors are able to make their findings immediately available to the scientific community and receive feedback on draft manuscripts before they are submitted to journals.

We provide a forum for the discussion of all aspects of HCI through our conferences, publications, web sites, email discussion groups, and other services. We advance education in HCI through workshops and outreach, and we promote informal access to a wide range of individuals and organizations involved in HCI. Members can be involved in HCI-related activities with others in their region through Local SIGCHI chapters. SIGCHI is also involved in public policy.

SIGGRAPH promotes the generation and dissemination of information on computer graphics and interactive techniques

The major focus of the journal is publishing important original scientific research and research reviews, but Science also publishes science-related news, opinions on science policy and other matters of interest to scientists and others who are concerned with the wide implications of science and technology.

We invite submissions of papers addressing theoretical aspects of machine learning and related topics.

AI welcomes papers on: Artificial Intelligence and Philosophy, Automated reasoning and inference, Case-based reasoning, Cognitive aspects of AI, Commonsense reasoning, Constraint processing, Heuristic search, High-level computer vision, Intelligent interfaces, Intelligent robotics, Knowledge representation, Machine learning, Multiagent systems, Natural language processing, Planning and theories of action, Reasoning under uncertainty or imprecision

ICRA brings together researchers from all around the world to discuss the latest in robotics and automation. In addition, the industry exhibition as well as live demonstrations and challenges bring together students, developers and entrepreneurs seeking the latest developments and applications in robotics and automation.

OSDI brings together professionals from academic and industrial backgrounds in what has become a premier forum for discussing the design, implementation, and implications of systems software. The OSDI Symposium emphasizes innovative research as well as quantified or insightful experiences in systems design and implementation.

IJCAI is a non-profit corporation founded in California, in 1969 for scientific and educational purposes, including dissemination of information on Artificial Intelligence at conferences in which cutting-edge scientific results are presented and through dissemination of materials presented at these meetings in form of Proceedings, books, video recordings, and other educational materials. IJCAI conferences present premier international gatherings of AI researchers and practitioners.

The USENIX Annual Technical Conference is a conference of computing professions sponsored by the USENIX association. The conference includes computing tutorials, and a single track technical session for presenting refereed research papers, SIG meetings, and BoFs.

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems.

The Proceedings of the VLDB, PVLDB for short, is a scholarly journal for short and timely research papers with a journal-style reviewing and quality-assurance process. PVLDB is owned by the VLDB Endowment and publicized by the ACM Digital Library. It is run by an editor-in-chief and a steering committee of 5 to 10 senior scientists, and it has an editorial board of 100 to 200 accomplished scholars. PVLDB solicits high-quality papers on timely research results that would have traditionally been submitted to a first-rate conference such as VLDB.

PLOS-CB features works of exceptional significance that further our understanding of living systems at all scales; from molecules and cells, to patient populations and ecosystems; through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to one of the following categories: General, Methods or Software. Software articles form a specific sub-category. More information about Software articles can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights.

Nature Biotechnology is a monthly journal covering the science and business of biotechnology. The core areas in which we are actively seeking research papers include: molecular engineering of nucleic acids and proteins; molecular therapy (therapeutics genes, antisense, siRNAs, aptamers, DNAzymes, ribozymes, peptides, proteins); large-scale biology (genomics, functional genomics, proteomics, structural genomics, metabolomics, etc.); computational biology (algorithms and modeling), regenerative medicine (stem cells, tissue engineering, biomaterials); imaging technology; analytical biotechnology (sensors/detectors for analytes/macromolecules), applied immunology (antibody engineering, xenotransplantation, T-cell therapies); food and agricultural biotechnology; and environmental biotechnology. A comprehensive list of areas of interest is shown below.

The ACM SIGMM (Special Interest Group in Multimedia) provides a forum for researchers, engineers, and practitioners in all aspects of multimedia computing, communication, storage, and applications.

The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition.

The Conference on Robot Learning (CoRL) is a new annual international conference focusing on the intersection of robotics and machine learning.

In 1978, the first History of Programming Languages Conference (HOPL) described the development of 13 computer programming languages, the people who participated in that work, and the context in which it was undertaken. In 1993, HOPL-II contained 14 papers on the genesis and evolution of programming languages. Fifteen years later, it was time for HOPL-III, which was held in conjunction with FCRC 2007 in San Diego. The 12 HOPL-III papers detailed the early history or evolution of specific programming languages. Preliminary ideas about each language was documented by 1996 and each language was in use by 1998.

The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

IPMI is widely recognised as a preeminent international forum for presentation of leading-edge research in the medical imaging field including the following topics: Image Analysis and Signal Processing, Shape Representation and Analysis, Image Registration and Fusion, Functional and Molecular Imaging, Image Acquisition Methods and Devices, Computational Physiology, Data Visualization, Statistical and Mathematical Models, Image Reconstruction, Image Interpretation and Computer Aided Diagnosis, Imaging and Genomics, Objective Assessment of Image Quality, Image Guided Surgery.

Typical but not exclusive topics of interest include: algorithms and data structures, computational complexity, cryptography, privacy, computational geometry, algorithmic graph theory and combinatorics, optimization, randomness in computing, approximation algorithms, parallel and distributed computation, machine learning, applications of logic, algorithmic algebra and coding theory, computational biology, computational game theory, quantum computing, and theoretical aspects of areas such as robotics, databases, information retrieval, and networks.

The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). They aim to bring together researchers from two worlds: Information Sciences and Neurosciences

ICWSM is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.

SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval. Since 1963, we have promoted research, development and education in the area of search and other information access technologies.

XSEDE is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise. Scientists and engineers around the world use these resources and services - supercomputers, collections of data, and new tools - to make our lives healthier, safer, and better.

The Recommender Systems conference (RecSys) is a forum for the presentation of new research results, systems and techniques in the broad field of recommender systems.

Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence.

The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information theory. The boundaries of acceptable subject matter are intentionally not sharply delimited.

The scope of the journal takes into account the data-intensive nature of ecology and the precious information content of ecological data in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on recent developments in sensor-based data acquisition, internet-based data archiving and sharing, data assimilation, inductive reasoning and forecasting of ecological data.

JAIR(ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes.

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

The SIAM Journal on Optimization contains research articles on the theory and practice of optimization. The areas addressed include linear and quadratic programming, convex programming, nonlinear programming, complementarity problems, stochastic optimization, combinatorial optimization, integer programming, and convex, nonsmooth and variational analysis. Contributions may emphasize optimization theory, algorithms, software, computational practice, applications, or the links between these subjects.

The SIAM Journal on Computing aims to provide coverage of the most significant work going on in the mathematical and formal aspects of computer science and nonnumerical computing.