The post-launch session includes the invited talks, shared task winners’ presentations, and a panel discussion on the resources, findings, and upcoming challenges. In addition to that, we propose a shared task on one of the challenging SDU tasks, i.e., acronym identification and disambiguation in scientific text. Submit to Workshop Chair, Ted Metzler at tmetzler@okcu.edu. The main goal of this workshop is to share the results of the following four main tracks of DSTC9: The two-day workshop will include welcome remarks, track overviews, invited talks, oral presentations, and discussions about future DSTCs. The word ‘affect’ refers to emotion, sentiment, mood, and attitudes including subjective evaluations, opinions, and speculations. Chatbots are their most recent incarnation and have been widely adopted, particularly in the recent COVID-19 pandemic, as sources of information. We will end the workshop with a panel discussion by top researchers from these fields to enlist future directions and enhancement to this workshop. 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. To address the scarcity of standardized baselines, datasets, and evaluation metrics for cross- disciplinary affective content analysis, submissions describing new language resources, evaluation metrics, and standards for affect analysis and understanding are also strongly encouraged. It is one of the key bottlenecks for financial services companies in improving their operating productivity. Important Dates. AAAI 2021 Workshop - Reframing Diversity in AI: Representation, Inclusion and Power - overview. Please follow the AAAI formatting guidelines (https://www.aaai.org/Publications/Templates/AuthorKit20.zip). University of Washington & AI2. We invite research spanning both creation and consumption of content, especially for cooperative tasks. AAAI 2021 Workshop CFP The performance of many machine learning algorithms depends highly upon the quality and quantity of available data, and (hyper)-parameter settings. A few systems will be requested to submit their system description papers. Fine tuning a neural network is very time consuming and far from optimal. Shared Task. AI Research), Youngduck Choi, (Yale University), Supplemental workshop site: https://sites.google.com/view/tipce-2021/home. Non-archival submissions: We welcome submissions of a one-page abstract describing work recently published but that is of relevance to the topics of the workshop. Lyle Ungar (University of Pennsylvania, ungar@cis.upenn.edu), Sendhil Mullainathan (University of Chicago, Sendhil.Mullainathan@chicagobooth.edu), Eric Tchetgen Tchetgen (University of Pennsylvania, ett@wharton.upenn.edu), Rahul Ladhania, primary contact, (University of Michigan, ladhania@umich.edu). Three specific roles are part of this format: session chairs, presenters and paper discussants. DSTC, the Dialog System Technology Challenge, has been a premier research competition for dialog systems since its inception in 2013. In addition, any other general technical paper on dialog technologies is also welcome. Morning Program: 09:00 - 13:00 09:00 - 09:10 Opening remarks 09:10 - 09:40 Keynote … More. Full papers (maximum of 8 pages in length) that address the above questions or that report on efforts to combine multiple cognitive/action modules (together with lessons learned) may be submitted. 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. Commonsense knowledge graphs (CSKGs) are sources of background knowledge that are expected to contribute to downstream tasks like question answering, robot manipulation, and planning. Workshop registration is available to AAAI-21 technical registrants at a discounted rate, or separately to workshop only registrants. For example, in a federated learning setting, every client can perform various attacks such as backdoor attacks on the global model as clients have direct access to the global model. 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. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. The program of the workshop will include invited talks, spotlight paper presentations, and lightning poster presentations. Microsoft at AAAI 2021. At the same time, computation efficiency is a big concern for modern deep learning, both inference and training. Each session will consist of a keynote, followed by research presentations, and a short informal poster session. AAAI 2021 Workshop: Trustworthy AI for Healthcare. Presentation at SDU@AAAI-21: February 9, 2021 Workshops are scheduled to be held at the end of the conference, February 8-9, 2021. Finally, we host a global challenge on Kaggle for a fair comparison of state-of-the-art Knowledge Tracing models and invite technical reports from winning teams. Accepted papers will not be archival, and we explicitly allow papers that are concurrently submitted to, currently under review at, or recently accepted in other conferences / venues. Position papers (maximum of 4 pages in length) may also be submitted. 8 pages), short (max. 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. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. Options include pruning a trained network or training many networks automatically. (Note that the 2021 author kit should not be used, as it has a permanent AAAI copyright slug, which is not appropriate for workshops. The AAAI-21 workshop program includes 26 workshops covering a wide range of topics in artificial intelligence. All other accepted papers will present their work in a virtual poster session. Cloud Intelligence AI/ML for Efficient and Manageable Cloud Service May 29th, 2021 Virtual (Originally Madrid, Spain) 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 first session (half day) will be dedicated to privacy challenges, particularly those risen by the Covid-19 pandemic tracing and tracking policy programs. SafeAI 2021 – AAAI's Workshop on Artificial Intelligence Safety. About Workshops + Tutorials Accepted ... Workshop 9th Dialog System Technology Challenge (DSTC-9) Multi-domain Task-oriented Dialog Challenge II Computational models of such measurement may not recognize the context of affect generated in and through human interactions. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. Meta learning attempts to build models for “general artificial intelligence.”. For complete information about options in AAAI 2021, please see the AAAI 2021 web page. Online Workshop, Feb 8 or 9, 2021 AI for healthcare has emerged into a very active research area in the past few years and has made significant progress. Sponsored by the Association for the Advancement of Artificial Intelligence, The Thirty-Fifth AAAI Conference on Artificial IntelligenceFebruary 8-9, 2021A Virtual Conference, Sponsored by the Association for the Advancement of Artificial Intelligence2275 East Bayshore Road, Suite 160Palo Alto, California 94303650-328-3123650-321-4457 (fax)workshops21@aaai.orghttps://aaai.org/Conferences/AAAI-21/ws21/, W2: AI for Behavior ChangeW3: AI for Urban MobilityW4: Artificial Intelligence Safety (SafeAI)W5: Combating Online Hostile Posts in Regional Languages during Emergency Situations (CONSTRAINT-2021)W6: Commonsense Knowledge Graphs (CSKGs)W7: Content Authoring and DesignW8: Deep Learning on Graphs: Methods and Applications (DLG-AAAI’21)W9: Designing AI for TelehealthW10: 9th Dialog System Technology Challenge (DSTC9) (two-day)W11: Explainable Agency in Artificial Intelligence (two-day)W13: 5th International Workshop on Health Intelligence (W3PHIAI-21) (two-day)W14: Hybrid Artificial IntelligenceW17: Learning Network Architecture During TrainingW19: Meta-Learning for Computer Vision (ML4CV)W23: Reinforcement Learning in GamesW25: Towards Robust, Secure and Efficient Machine Learning, W1: Affective Content Analysis (AffCon@AAAI 2021)W10: 9th Dialog System Technology Challenge (DSTC9) (two-day)W11: Explainable Agency in Artificial Intelligence (two-day)W12: Graphs and More Complex Structures for Learning and Reasoning (GCLR)W13: 5th International Workshop on Health Intelligence (W3PHIAI-21) (two-day)W15: Imagining Post-COVID Education with AIW16: Knowledge Discovery from Unstructured Data in Financial ServicesW18: Meta-Learning and Co-Hosted CompetitionW20: Plan, Activity, and Intent Recognition (PAIR) 2021W21: Privacy-Preserving Artificial IntelligenceW22: Reasoning and Learning for Human-Machine dialogs (DEEP-DIAL21)W24: Scientific Document UnderstandingW26: Trustworthy AI for Healthcare. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Do not mail submissions to AAAI. Furthermore, models that are robust to adversarial attacks usually require longer training time and orders of magnitude more computation FLOPs than normal networks. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. How to prevent privacy leaking during information exchange of a decentralized training method is also a critical issue. Sarah Keren (primary contact) (Harvard University, School of Engineering and Applied Sciences, sarah.e.keren@gmail.com or skeren@seas.harvard.edu), Reuth Mirsky (University of Texas, Department of Computer Science, reuth@cs.utexas.edu), Christopher Geib (SIFT LLC, cgeib@sift.net), Supplemental workshop site: http://www.planrec.org/PAIR/Resources.html. 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