Submissions will be accepted via EasyChair submission website https://easychair.org/conferences/?conf=kdf2020, Xiaomo Liu (S&P Global, xiaomo.liu@spglobal.com), Sameena Shah (S&P Global, sameena.shah@spglobal.com), Manuela M. Veloso (J.P. Morgan Chase and Carnegie Mellon University, manuela.veloso@jpmchase.com), Quanzhi Li (Alibaba Group, quanzhi.li@alibaba-inc.com), Le Song (Ant Financial and Georgia Institute of Technology, e.song@antfin.com), Supplemental workshop site: https://aaai-kdf2020.github.io/. AAAI-20 Student Outreach Workshop February 8-9, 2020 in New York City A Fun, Hands-On Introduction to AI and Robotics Undergraduates with an interest in AI and intelligent robots are invited to apply to the AAAI-20 Student Outreach Workshop to be held February 8-9, 2020 in New York City. Robotic Process Automation (RPA) addresses this problem by developing software agents (robots) that can mimic human users to perform a variety of business tasks on their computers. Papers should be submitted via EasyChair. In recent years, we have seen examples of general approaches that learn to play these games via self-play reinforcement learning (RL), as first demonstrated in Backgammon. AAAI-20 Conference Feb 7 - Feb 12, 2020 Useful Links. Sponsored by the Association for the Advancement of Artificial Intelligence, February 7-8, 2020New York, New York, USA. PostersAuthors whose papers accepted to the workshop would be able to present their work in a joint poster session and panel. Each submission will be in the form of a maximum 8-page paper including reference, using the main AAAI conference format. Full papers are allocated 20m presentation and 10m discussion. ICCV Workshop. Objectives. We invite submissions of relevant work that be of interest to the workshop. Virtual Workshop, Feb 8th, 2021 Sponsored by: Home; Call for Papers; Schedule; Committees; Contact; Intro and Motivation. Digital transformation is happening in all industries. Submission deadline: November 1, 2019Notification: December 4, 2019, Javier Segovia-Aguas (Institut de Robòtica i Informàtica Industrial (IRI), Spain, jsegovia@iri.upc.edu), Siddharth Srivastava (Arizona State University, USA, siddharths@asu.edu), Raquel Fuentetaja (Universidad Carlos III de Madrid, Spain, rfuentet@inf.uc3m.es), Aviv Tamar (Israel Institute for Technology, Israel, aviv.tamar.mail@gmail.com), Anders Jonsson (Universitat Pompeu Fabra, Spain, anders.jonsson@upf.edu), Supplemental workshop site: https://sites.google.com/view/genplan20/. Consumer psychology and marketing pursues a different direction to ground affect in its theoretical underpinnings as well as their real-world applications. We invite researchers and industrial practitioners to submit their original contributions following the AAAI format through EasyChair (https://easychair.org/conferences/?conf=w3phiai20). This enables intelligent decision making and information transfer through devices. Attendance is open to all. AAAI is pleased to present the AAAI-20 Workshop Program. Specifically, we intend to extend our community by reaching out to recognition researchers from the machine learning community and encourage them to submit their work to the workshop. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? Workshops will be held Friday and Saturday, February 7-8, 2020 at the New York Hilton Midtown in New York, New York, USA. Registration Full details about workshop registration will be available at AAAI 2021 Registration . It will conclude with a panel discussion. Please submit your papers for review directly to the individual workshop according to their directions. Comparison of results between offline (e.g. The workshop is non-archival, and we welcome relevant submissions that have been published elsewhere in the very-recent past. Submissions will be reviewed for their relevance to the workshop topic, relevance to this year’s special focus, novelty of ideas, significance of results, and reusability of the contributions. The workshop encourages submissions on innovative technologies and applications that leverage AI/ML for efficient and manageable cloud services. AAAI-21 Workshop on Reinforcement Learning in Games. At least one author of each accepted submission must be present at the workshop. Using crowdsourced datasets for evaluating AI systems’ success at tasks such as image labeling and question answering have proven powerful enablers for research. Until recently, however, research in them has progressed independently with little or no interaction. How do we make evaluations and related datasets archival and discoverable? Submission site: https://cmt3.research.microsoft.com/AIOTW2019/Submission/Index, General Chair: Yiran Chen (Duke University, yiran.chen@duke.edu)Program Chairs: Jian Zhang (Microsoft, jianzha@microsoft.com), Jian Tang (DiDi ChuXing, tangjian@didiglobal.com)Steering Committee: Jie Liu (Harbin Institute of Technology), Jieping Ye (DiDi Chuxing), Marilyn Claire Wolf (Georgia Tech), Mani Srivastava (UCLA), Michael I. Jordan (UC Berkeley), Victor Bahl (Microsoft), Vijaykrishnan Narayanan (Penn State University), Supplemental workshop site: https://aiotworkshop.github.io/. Min-Ling Zhang Southeast University, China, This site is protected by copyright and trademark laws under US and International law. Contributions of research results are sought in the following areas of: Due to the diversity of disciplines engaging in this area, related contributions in other fields, are also welcome. There is an urgent need to highlight the crucial role of reasoning methods, like constraints satisfaction, planning and scheduling, and learning working together with them, can play to build an end-to-end conversation system that evolves over time. We advocate the urgency of driving and accelerating AI/ML for efficient and manageable cloud services through collaborative efforts in multiple areas including but not limited to artificial intelligence, machine learning, software engineering, data analytics, and systems.This workshop provides a forum for researchers and practitioners to present the state of research and practice in AI/ML for efficient and manageable cloud services, and network with colleagues. In fact, the increasingly digitalized education tools and the popularity of the massive open online courses have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. What safety engineering considerations are required to develop safe human-machine interaction? The AAAI Press author kit with style files, macros, and guidelines for this format is linked below. Unsurprisingly, dialog systems have been a key sub-area of AI for decades. There is a growing interest in understanding how humans initiate and hold conversations. We accept two types of submissions – full research paper no longer than 8 pages and short/poster paper with 2-4 pages. December 04, 2019: Workshop paper submission due (23:59, Pacific Standard Time) December 15, 2019: Workshop paper notifications . Internet of Things (IoT) is a disruptive technology that extends data collection to almost everything around us and enables them to react through intelligent data processing. Therefore, it is timely and necessary to provide a venue, which can bring together academia researchers and education practitioners (1) to discuss the principles, limitations and applications of AI for education; and (2) to foster research on innovative algorithms, novel techniques, and new applications to education. With the dawn of the Netflix Challenge, a sizable fraction of recommendation research shifted away from interaction and conversation and focused more on formal machine learning aspects of training objectives and optimization on offline data. We invite submissions of original contributions on methods, applications, and systems on artificial intelligence, machine learning, and data analytics, with a focus on knowledge discovery and extraction in the financial services domain. Short papers 10-minute presentation, plus 5-minute discussion. We invite scientific contributions and positions papers on the following topics: Submission information will be available shortly. Intelligence at users’ fingertips. January 15, 2020: Camera-ready deadline for workshop papers . We solicit original papers in two formats – Technical Paper (6 pages) and project showcase (2 pages) in AAAI format. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. Additional areas can be discussed with similar challenges and solution spaces (e.g. Cloud services will have built-in capabilities of self-monitoring, self-diagnosis, and self-healing – all with low human intervention without compromising the service quality or the user experience. The workshop will consist of contributed talks, contributed posters, and invited talks on a wide variety of methods and applications. Knowledge discovery from unstructured data has gained the attention of many practitioners over the past decades. AAAI early registration deadline: Jan 15, 2021. This synergistic area of research combines and unifies techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Both the first edition, DEEP-DIAL18 (http://www.zensar.com/deep-dial18) held at AAAI-18 at New Orleans, USA in February 2018 and the second edition, DEEP-DIAL19 (https://sites.google.com/view/deep-dial-2019/), held at AAAI-19 at Honolulu, Hawaii, USA in January 2019, were huge successes attracting 100+ AI researchers to discuss a variety of topics. We invite paper submissions on the following (and related) topics: Position, perspective, and vision papers are also welcome. As the market has grown so has the amount of data that is collected. Topics of interest to this workshop bring together research being conducted in a range of areas, including classical planning, knowledge engineering, partial policies and reinforcement learning, plan verification, and model checking. As cyber security has rapidly matured, data collection has become easier to instrument, implement, and collect. This calls for novel methods and new methodologies and tools to address quality and reliability challenges of ML systems. Acknowledging these difficulties, empirical AI research should be documented properly so that the experiments and results are clearly described. While progress has been impressive, we believe we have just scratched the surface of what is capable, and much work remains to be done in order to truly understand the algorithms and learning processes within these environments. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. This may be because AI research has its own unique reproducibility challenges. For complete information about options in AAAI 2021, please see the AAAI 2021 web page. Dell Zhang, Cochair (Birkbeck, University of London, Malet Street, London WC1E 7HX, UK, dell.z@ieee.org), Andre Freitas, Cochair (University of Manchester, Kilburn Building, Oxford Road, Manchester M13 9PL, UK, andre.freitas@manchester.ac.uk), Dacheng Tao (University of Sydney, dacheng.tao@sydney.edu.au), Dawn Song (UC Berkeley, dawnsong@cs.berkeley.edu), Supplemental workshop site: https://www.blueprism.com/events/AAAI-20-Workshop-on-Intelligent-Process-Automation. Sarah Keren (primary contact)Harvard University,School of Engineering and Applied SciencesCambridge, MAEmail: sarah.e.keren@gmail.com or skeren@seas.harvard.edu. Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-20 (use the AAAI Author Kit). TRANSPARENCY: Making quality and characteristics of (crowdsourced) benchmark datasets transparent and explainable, Replicability of crowdsourced evaluations of AI systems, Explainability of crowdsourced evaluations to different stakeholders, e.g. Full technical papers (6-8 pages) describing original research. All submissions should be done electronically through EasyChair. We will co-host the ICCV 2019 Workshop on Interpretating and Explaining Visual Artificial Intelligence Models . A successful framework for the interaction between humans and AI is extremely important as machine learning based AI capabilities become incorporated into everyday life. DSTC, the Dialog System Technology Challenge, has been a premier research competition for dialog systems since its inception in 2013. It will start with a 60-minute mini-tutorial covering a brief tutorial and basics of RL in games, 2-3 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. Their most recent form, chatbots, which can engage people in natural conversation and are easy to build in software, have been in the news a lot lately. However, recent years have seen an increase in work in interactive, sequential (e.g., session-based) interactions with recommender systems. The manual knowledge discovery and extraction process is usually low in efficiency, error prone, and inconsistent. The workshop follows a single-blind reviewing process. Joint modeling of text or image content with underlying network structure is a critical topic for these domains. Praveen Paritosh, Kurt Bollacker, Maria Stone, Lora Aroyorigorous-evaluation@googlegroups.com, Supplemental workshop site: http://eval.how/aaai-2020/. RLG is a full-day workshop. Submitted papers will be peer-reviewed and selected for presentation. 7 XAI Papers are accepted to AAAI 2020 . We introduce the OffMyChest Conversation dataset, and invite submissions for the Computational Linguistics Affect Understanding (CL-Aff) Shared Task on Affect in Conversations. Artificial Intelligence (AI) has dramatically transformed a variety of domains. The workshop will end with a fishbowl-style discussion among the organizers and participants to decide on future directions for the workshop and the research community. The last decade has seen massive progress in AI research powered by crowdsourced datasets and benchmarks such as Imagenet, Freebase, SQuAD; as … Question Answering (QA) has become a crucial application problem in evaluating the progress of AI systems in the realm of natural language processing and understanding, and to measure the progress of machine intelligence in general. While crowdsourcing has enabled a burst of published work on specific problems, determining if that work has resulted in real progress cannot continue without a deeper understanding of how the dataset supports the scientific or performance claims of the AI systems it is evaluating. The final schedule will be available in November, and exact locations will be determined in January. For questions about the submission process, contact the workshop co-chairs. Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever. Any topics related to reproducible AI are welcome, including position papers, surveys, recommendations, and comparisons of AI reproducibility with other fields of research. We invite the submission of novel research paper (6 pages), demo paper (4), visionary papers (4 pages) as well as extended abstracts (2 pages). The full Call for Participation will be posted by September 27. Making progress on the MCS problem unlocks many potential solution techniques for AI systems, and makes them truly useful in various real world domains in related fields such as NLP and Computer Vision. Users can easily use, maintain, and troubleshoot their workloads or get efficient support on top of the underlying cloud service offerings.Highly efficient and effective DevOps (Developer and Operations). We will hold a 1-day workshop where approximately two-thirds of the time will be devoted to presentations of regular workshop submissions and an invited talk. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. In a poster session in the afternoon, a few papers deemed more suited for a poster than a presentation will be invited to display a poster or a demo. 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