Attendance is open to all; at least one author of each accepted submission must be virtually present at the workshop. Submissions of technical papers can be up to 7 pages excluding references and appendices. AI for healthcare has emerged into a very active research area in the past few years and has made significant progress. 4 pages, including references). In the current computer vision problems, we train one architecture for every individual problem, as soon as the data distribution or the problem statement changes, the machine learning algorithm has to be retrained or redesigned. The accepted papers will beposted on the workshop website and will not appear in the AAAI proceedings. AAAI is pleased to present the AAAI-21 Workshop Program. 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 many applications of AI in these areas, one needs to design systems that learn to motivate people to take actions that maximize their welfare. AAAI early registration deadline: Jan 15, 2021. Investment currently is strong for numerous types of telehealth systems, many including AI components, and leading enterprises in this work are now recognizing the important need for participatory design. This symposium will bring together AI researchers, learning scientists, educators and policymakers to exchange problems and solutions and build possible collaborations in the future. Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). All submissions must be original. To provide proper alerts and timely response, public health officials and researchers systematically gather news and other reports about suspected disease outbreaks, bioterrorism, and other events of potential international public health concern, from a wide range of formal and informal sources. September 2020. We plan to publish the papers accepted in this workshop as a book with Springer in 2021. Its capabilities have expanded from processing structured data (e.g. Two types of papers can be submitted. We welcome all types of submissions that feature Meta-learning and few shot learning, but have a specific focus on the following topics: The workshop will be held virtually, like all workshops at AAAI. Microsoft at AAAI 2021. Fine tuning a neural network is very time consuming and far from optimal. Training and development set release: September 1, 2020. Although telehealth technology has been present for years, appearance of the Covid-19 pandemic dramatically has accelerated its growth. In addition, existing methods are often biased to specific ethnic groups or subpopulations. Three specific roles are part of this format: session chairs, presenters and paper discussants. Meta learning and lifelong learning relate to the human ability of continuously learning new tasks with very limited labeled training data. The topics include but are not limited to: The workshop will feature 14 invited talks, given by the following distinguished speakers (alphabetic order). This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. If you already have the required continuing education credits (from attending a certification workshop or conference) please click the button below to renew online. 8 pages), short (max. This workshop aims to encapsulate these concepts under the umbrella of Explainable Agency and bring together researchers and practitioners working in different facets of explainable AI from diverse backgrounds to share challenges, new directions and recent research in the field. Virtual Workshop, Feb 8th, 2021 Sponsored by: Home; Call for Papers; Schedule; Committees; Contact; Intro and Motivation. Short papers with a length between 2 and 4 pages can describe either a particular application, or focus on open challenges. Submission will be accepted via EasyChair submission website https://easychair.org/my/conference?conf=kdf21. 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. Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-2021 (use the 2020 AAAI Author Kit). Requests to participate and (optional) paper submissions are to be emailed to workshop chair by November 9, 2020. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. The scope of the workshop includes but are not limited to the following topics: This is a one day workshop and will be organized as a combination of presentations by invited speakers and paper presentations. Web applications along with text processing programs are increasingly being used to harness online data and information to discover meaningful patterns identifying emerging health threats. Pengtao Xie (University of California, San Diego, firstname.lastname@example.org), Marinka Zitnik (Harvard University, email@example.com), Byron Wallace (Northeastern University, firstname.lastname@example.org), Jennifer G. Dy (Northeastern University, email@example.com), Eric Xing (Carnegie Mellon University, firstname.lastname@example.org), Supplemental workshop site: https://taih20.github.io/, This site is protected by copyright and trademark laws under US and International law. Attendance is open to all, and at least one author of each accepted submission must be present at the workshop. Its capabilities have expanded from processing structured data (e.g. SDU is expected to host 50-60 attendees. In particular, deep learning methods, including convolutional neural networks, are known to be ‘data-hungry,’ and require properly tuned hyper-parameters. The workshop supplementary site URL will be available soon. Participants are welcomed to submit their system reports to be presented in the workshop poster session. A few systems will be requested to submit their system description papers. 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. Submission requirements vary for each workshop. More. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Our team of many organizers is excited to work together to make this workshop possible. 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