The AAAI-21 workshop program includes 26 workshops covering a wide range of topics in artificial intelligence. We invite the submission of papers describing novel research contributions (6 pages), survey papers (up to 8 pages) or demonstrations (4 pages). Attendance is virtual and open to all. Despite this success, the learning mechanism of modern systems remains surprisingly narrow as compared to the way humans learn. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. Given the increasing interest, there has been a surge in the development of easy-to-use platforms to rapidly create dialog agents at different levels of sophistication. For example, contrary to the most current systems which learn just a single model from just a single data set, we humans acquire knowledge from diverse experiences over many years. All submissions must be anonymous and conform to AAAI standards for double-blind review. Representation learning, distributed representations learning and encoding in natural language processing for financial documents; Synthetic or genuine financial datasets and benchmarking baseline models; Transfer learning application on financial data, knowledge distillation as a method for compression of pre- trained models or adaptation to financial datasets; Search and question answering systems designed for financial corpora; Named-entity disambiguation, recognition, relationship discovery, ontology learning and extraction in financial documents; Knowledge alignment and integration from heterogeneous data; Using multi-modal data in knowledge discovery for financial applications. Short papers with a length between 2 and 4 pages can describe either a particular application, or focus on open challenges. AAAI 2021 Workshop on AI Education. To push forward the research on acronym understanding in scientific text, we propose two shared tasks on acronym identification (i.e., recognizing acronyms and phrases in text) and disambiguation (i.e., finding the correct expansion for an ambiguous acronym). The program of the workshop will include invited talks, spotlight paper presentations, and lightning poster presentations. Virtual Workshop, Feb 8th, 2021 Sponsored by: Home; Call for Papers; Schedule; Committees; Contact; Intro and Motivation. More. ), This site is protected by copyright and trademark laws under US and International law. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. A large share of content created are outcomes of collaboration. There has been limited interaction among these subareas on XAI, and even less work has focused on promoting and sharing sound designs, methods, and measures for evaluating the effectiveness of explanations (generated by AI systems) in human subject studies. We already have the following keynote speakers confirmed: Chelsea Finn, Orial Vinyals, Lilian Weng, and Richard Zemel. For further information about a workshop, please contact the chair of that workshop. February 9, 2021 9:00am to 6:30pm ET. The study of complex graphs is a highly interdisciplinary field that aims to study complex systems by using mathematical models, physical laws, inference and learning algorithms, etc. Copyright © 1995–2021 AAAI, Association for the Advancement of Artificial Intelligence, AAAI-21 Student Technical Volunteer Program, https://aaai.org/Conferences/AAAI-21/ws21/, W1: Affective Content Analysis (AffCon@AAAI 2021), W4: Artificial Intelligence Safety (SafeAI), W5: Combating Online Hostile Posts in Regional Languages during Emergency Situations (CONSTRAINT-2021), W8: Deep Learning on Graphs: Methods and Applications (DLG-AAAI’21), W10: 9th Dialog System Technology Challenge (DSTC9), W11: Explainable Agency in Artificial Intelligence, W12: Graphs and More Complex Structures for Learning and Reasoning (GCLR), W13: 5th International Workshop on Health Intelligence (W3PHIAI-21), W15: Imagining Post-COVID Education with AI, W16: Knowledge Discovery from Unstructured Data in Financial Services, W17: Learning Network Architecture During Training, W18: Meta-Learning and Co-Hosted Competition, W19: Meta-Learning for Computer Vision (ML4CV), W20: Plan, Activity, and Intent Recognition (PAIR) 2021, W21: Privacy-Preserving Artificial Intelligence, W22: Reasoning and Learning for Human-Machine dialogs (DEEP-DIAL21), W25: Towards Robust, Secure and Efficient Machine Learning. Registration Full details about workshop registration will be available at AAAI 2021 Registration . All papers will be reviewed by the organizing committee (single-blind), and the ones that we believe will be of most interest to the workshop attendees will be accepted. Commonsense knowledge graphs (CSKGs) are sources of background knowledge that are expected to contribute to downstream tasks like question answering, robot manipulation, and planning. Submission requirements vary for each workshop. A follow up question then is how to model and computationally measure affect in collaborative creation. Chatbots are their most recent incarnation and have been widely adopted, particularly in the recent COVID-19 pandemic, as sources of information. All submissions must be original contributions, following the AAAI-21 formatting guidelines. The schedule is as follows: Regular papers (maximum 12 pages) should be prepared in English and follow the Springer CCIS template, downloadable from here (https://www.springer.com/series/7899). Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). Mark Dredze Johns Hopkins University, Associate Professor Noémie Elhadad Columbia University, Associate Professor Judy Gichoya Emory University School of Medicine, Assistant Professor Andrew Ng Landing AI/Coursera/Stanford University, Founder Ziad Obermeyer University of California Berkeley, Associate Professor Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever. They need to enter into a dialog and convincingly explain their suggestions and decision-making behavior. The usage aim is to implement technical systems that smartly adapt their functionality to their users’ individual needs and requirements and solve problems in close cooperation with users. This is especially the case for non- traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. We invite the submission of original and high-quality research papers in the relevant fields of misinformation. chess, checkers). Attendance is open to all. Machine learning technology has been improving with every passing day and has been extensively applied to nearly every corner of the society that offers substantial benefits to our daily lives. September 2020. We especially invite papers investigating multiple related themes, industry papers, and descriptions of running projects and ongoing work. Time zone TBD. Niyati Chhaya, Primary Contact (Adobe Research, nchhaya@adobe.com), Kokil Jaidka (Nanyang Technological University, kokil.j@gmail.com ), Jennifer Healey (Adobe Research, jehealey@adobe.com), Lyle Ungar (University of Pennsylvania, ungar@cis.upenn.edu), Atanu R Sinha (Adobe Research, atr@adobe.com). Some design topics that emerge during workshop discussion are likely not to be initially familiar to all stakeholder communities present, promising useful gain in shared knowledge. Given the remarkable success of the first eight challenges, we are organizing the ninth edition of DSTC this year and we will have a wrap-up workshop at AAAI-21. The past editions of the workshop were huge successes attracting 100+ AI researchers to discuss a variety of topics. Meta learning and lifelong learning relate to the human ability of continuously learning new tasks with very limited labeled training data. This workshop clearly is timely. The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, network theory, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in population and personalized health. Full Papers: We accept full paper submissions. The workshop follows a single-blind reviewing process. Full papers following the AAAI paper submission guideline should be submitted. The goal of the Content Authoring and Design workshop at AAAI is to engage the AI and NLP community around the open problems in authoring, reformatting, optimization, enhancement and beautification of different forms of contents from articles, news, presentation slides, flyers, posters to any material one can find online such as social media posts and advertisement. With the CONSTRAINT-2021 workshop, we aim to attract the attention of the research communities to these important aspects of the hostile posts detection and provide a platform for the high-quality research in this domain. We invite researchers to participate and submit their systems. The AAAI 2021 Workshop on Reframing Diversity in AI: Representation, Inclusion, and Power is a one-day virtual event on February 9, 2021 at the International Conference of the Association for the Advancement of Artificial Intelligence. Submission site: https://easychair.org/my/conference?conf=xaiaaai21, Prashan Madumal, Silvia Tulli, David Aha, Rosina Weber, Supplemental workshop site: https://sites.google.com/view/xaiworkshop/topic. Workshops are one day unless otherwise noted in the individual descriptions. The papers adhere to the 2-column AAAI format up to 7 pages of technical content plus up to two additional pages solely for references will be considered for review. Xiaomo Liu (S&P Global), Zhiqiang Ma (S&P Global), Manuela M. Veloso (J.P. Morgan), Sameena Shah (J.P. Morgan), Armineh Nourbakhsh (J.P. Morgan), Gerard de Melo (University of Potsdam), Le Song (Georgia Institute of Technology and Ant Financial), Quanzhi Li (Alibaba Group), Supplemental workshop site: https://aaai-kdf.github.io/kdf2021. 5:00-6:00 AAAI/ISMA International Certification Exam (Written & Practical) CEC’S: AAAI/ISMA 8, AFAA 7, IFTA 8 other CEC’s can be petitioned. Archival Submissions: Submissions should report original and unpublished research on topics of interest to the workshop. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. About the Conference. See the webpage https://sites.google.com/view/gclr2021/submissions for detailed instructions and submission link. Chatbots have been increasingly used for seeking advice and providing assistance related to symptoms, health facilities and public policies. AAAI 2021 Workshop on AI Education. 8 pages), short (max. Meta-Learning is a way to address both issues. AAAI 2021 Workshop - Reframing Diversity in AI: Representation, Inclusion and Power - Call for Papers. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? The second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) held at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) builds on the success of last year’s AAAI PPAI to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. Call for Papers. Specifically, we seek to study threats and defenses to machine learning not only in a single node setting but also in a distributed setting, as well as potential defense strategies in both settings. For example, it is known that machine learning models are vulnerable to adversarial samples. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. AIDBEI 2021 : AAAI 2021 Diversity Workshop on Artificial Intelligence - Diversity, Belonging, Equity, and Inclusion The challenges in automatic identification of the hostile posts are more critical in case of these regional languages — primarily because of the lack of resources for such languages. Short or position papers of up to 4 pages are also welcome. The area addresses open problems in leveraging AI models to assist users during their creative process by estimating the author and audience needs so that the outcome is aesthetically appealing and effectively communicates its intent. AI methods have achieved human-level performance in skin cancer classification, diabetic eye disease detection, chest radiograph diagnosis, sepsis treatment, etc. Martin Michalowski, Cochair (University of Minnesota – Twin Cities, martinm@umn.edu), Arash Shaban-Nejad, Cochair (The University of Tennessee Health Science Center – Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics, ashabann@uthsc.edu), Szymon Wilk (Poznan University of Technology), David L. Buckeridge (McGill University), John S. Brownstein (Boston Children’s Hospital, Harvard University), Byron C. Wallace (Northeastern University), Michael J. Paul (The University of Colorado Boulder); Supplemental workshop site: http://w3phiai2021.w3phi.com/. And with particular focuses but not limited to these application domains: Submissions are limited to a total of 5 pages for initial submission (up to 6 pages for final camera-ready submission), excluding references or supplementary materials, and authors should only rely on the supplementary material to include minor details that do not fit in the 5 pages. Understanding how to best integrate and represent CSKGs, leverage them on a downstream task, and tailor their knowledge to the particularities of the task, are open challenges today. The accepted papers are allowed to be submitted to other conference venues. The AAAI author kit can be downloaded from: http://www.aaai.org/Publications/Templates/AuthorKit20.zip. Call for Papers. In this workshop we would like to focus on a contrasting approach, to learn the architecture during training. System reports should also follow the AAAI formatting guidelines and have 4-6 pages including references. Registration in each workshop is required by all active participants, and is also open to all interested individuals. Requests to participate and (optional) paper submissions are to be emailed to workshop chair by November 9, 2020. With Instructor Todd Bezilla M. Ed. How can we develop solid technical visions and new paradigms about AI Safety? Supplemental workshop site: http://shapingsmarttechnology.org (click on TELEHEALTH to access the workshop page). There are expected to be approximately 70-80 attendees. The workshop will be organized as a full day meeting. As artificial intelligence has become tightly intervened in the society having tangible consequences and influence, calls for explainability and interpretability of these systems has also become increasingly prevalent. Supplemental workshop site: https://ai4bc.github.io/ai4bc21/For general inquiries about AI4BC, please write to ai4behaviorchange@gmail.com. Of course, its organizers also seek a gathering size that allows meaningful participation for everyone; fortunately, the workshop is equipped with a website that will post the CFP and accepted workshop papers (pending authors’ permissions) as well as sustain afterward the valuable dialogue generated during the event. Extended abstracts and full papers are due November 9, 2020. Despite these successes, graph neural networks (GNNs) still face many challenges namely. AffCon-2021 is the fourth Affective Content Analysis workshop @ AAAI. Welcome to AIDBEI 2021! This workshop seeks papers ranging from experience reports to the description of new technology leveraging AI various AI for innovation in any area of Urban Mobility and Transportation, such as (but not limited to): Traffic Signal Control, Vehicle Routing, Autonomous Driving, Multi-modal planning, and on-demand transport. This course will be held online via the Zoom Platform. The deadline for submission of papers to this workshop is December 18, 2020. Yejin Choi. However, the field of Artificial Intelligence in Education (AIEd) has received relatively little academic attention compared to the mainstream machine learning areas like vision, natural language processing, and healthcare. This workshop will bring together researchers from NLP, computer vision, reasoning and action/robotics to explore end-to-end HAI. These choices can only be analyzed holistically if the technological and ethical perspectives are integrated into the engineering problem, while considering both the theoretical and practical challenges of AI safety. Questions regarding demos should be referred to ramonfpereira@gmail.com or mor.vered@unimelb.edu.au. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. We will end the workshop with a panel discussion by top researchers from these fields to enlist future directions and enhancement to this workshop. AI Research), Jamin Shin (Riiid! The papers submitted to the workshop will be peer reviewed. How do metrics of capability and generality, and the trade-offs with performance affect safety? Submissions should be camera-ready, following the formatting guidelines for AAAI-2021. In this workshop, we plan to invite AIEd enthusiasts from all around the world through three different channels. Submissions should be made via EasyChair at https://easychair.org/conferences/?conf=ai4um. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker), Nov 20, 2020: Notification of phase 1 papers due, Dec 1, 2020: Camera ready submission due of accepted papers, Dec 5, 2020: Phase 2 full papers due (Only papers rejected from AAAI’21 main track will be considered. How to prevent privacy leaking during information exchange of a decentralized training method is also a critical issue. text, images, and videos). The topics of interest include, but not limited to: Papers will be presented in poster format and some will be selected for oral presentation. Submissions can be full technical papers (up to 8 pages) or short papers (up to 4 pages), and should be formatted in the AAAI style. The systems have to be deployable at lower cost and usable in situations with limited device capabilities and network connectivity. ), Learning with algebraic or combinatorial structure, Link analysis/prediction, node classification, graph classification, clustering for complex graph structures, Theoretical analysis of graph algorithms or models, Optimization methods for graphs/manifolds, Probabilistic and graphical models for structured data, Unsupervised graph/manifold embedding methods, Geographical Mapping and Visual Analytics for Health Data, Biomedical Ontologies, Terminologies, and Standards, Bayesian Networks and Reasoning under Uncertainty, Temporal and Spatial Representation and Reasoning, Crowdsourcing and Collective Intelligence, Risk Assessment, Trust, Ethics, Privacy, and Security, Computational Behavioral/Cognitive Modeling, Health Intervention Design, Modeling and Evaluation, Applications in Epidemiology and Surveillance (e.g. In this GCLR (Graphs and more Complex structures for Learning and Reasoning) workshop, we will focus on various complex structures along with inference and learning algorithms for these structures. The second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) held at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) builds on the success of last year’s AAAI PPAI to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. Submission Site: https://cmt3.research.microsoft.com/ML4CV2021, Mayank Vatsa (IIT Jodhpur, mvatsa@iitj.ac.in), Richa Singh (IIT Jodhpur, richa@iitj.ac.in(, Nalini Ratha (SUNY Buffalo, nratha@buffalo.edu), Vishal Patel (Johns Hopkins University, vpatel36@jhu.edu), Surbhi Mittal, web chair (IIT Jodhpur, mittal.5@iitj.ac.in), Supplemental workshop site: http://iab-rubric.org/mel4cv/. Registration in each workshop is required by all active participants, and is also open to all interested individuals. Accepted submissions will have the option of being published on the workshop website. The program will also include an invited talk from an expert of the field, and a panel composed by AI experts and transportation experts, with the aim of identifying promising areas of work. Content Authoring and Design refers to the interdisciplinary research area of Artificial Intelligence, Computational Linguistics, and Graphic Design. This topic encompasses forms of Neural Architecture Search (NAS) in which the performance properties of each architecture, after some training, are used to guide the selection of the next architecture to be tried. Such applications highlight future research directions for the community. Psychological models of affect are adopted by several disciplines to conceptualize and measure users’ opinions, intentions, motives, and expressions. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. There is no restriction on participants willing to attend the workshop. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. Balaraman Ravindran, Chair (Indian Institute of Technology Madras, India, ravi@cse.iitm.ac.in), Kristian Kersting (TU Darmstadt, Germany, kersting@cs.tu-darmstadt.de), Sarika Jalan (Indian Institute of Technology Indore, India, sarika@iiti.ac.in), Partha Pratim Talukdar (Indian Institute of Science, India, ppt@iisc.ac.in), Sriraam Natarajan (University of Texas Dallas, USA, Sriraam.Natarajan@utdallas.edu), Tarun Kumar (Indian Institute of Technology Madras, India, tkumar@cse.iitm.ac.in), Deepak Maurya (Indian Institute of Technology Madras, India, maurya@cse.iitm.ac.in), Nikita Moghe (The University of Edinburgh, UK, nikita.moghe@ed.ac.uk), Naganand Yadati (Indian Institute of Science, India, y.naganand@gmail.com), Jeshuren Chelladurai (Indian Institute of Technology Madras, India, jeshurench@gmail.com), Aparna Rai (Indian Institute of Technology Guwahati, India, raiaparna13@gmail.com). First, we will call for papers related to important AIEd topics that can help us imagine what new education will look like. This is the initial step to the rewarding career as a Personal Trainer. Original article was published by on CFPs on Artificial Intelligence : WikiCFP. Modeling highly structured data with time-evolving, multi-relational, and multi-modal nature. Specific topics in this field include but aren’t restricted to: We propose a new shared task where participants will be expected to design automated approaches to predict emphasis in presentation slides with the goal of improving their comprehensibility and visual appeal. The final schedule will be available in October. What safety engineering considerations are required to develop safe human-machine interaction? Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. 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