Training and development set release: September 1, 2020. Meta-learning applications in visual domains including biometrics, medical imaging and action recognition. Topics of interest include, but are not limited to: The workshop will consist of: (1) two keynote talks, (2) a panel discussion on ‘Are language models enough?’, (3) presentations of full, short, and position papers, and (4) a discussion session. Papers must be formatted in AAAI two-column, camera-ready style. Our team of many organizers is excited to work together to make this workshop possible. 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. In this workshop, we want to explore ways to bridge short-term with long-term issues, idealistic with pragmatic solutions, operational with policy issues, and industry with academia, to build, evaluate, deploy, operate and maintain AI-based systems that are demonstrably safe. Graph neural networks on node-level, graph-level embedding, Joint learning of graph neural networks and graph structure, Learning representation on heterogeneous networks, knowledge graphs, Deep generative models for graph generation/semantic-preserving transformation, Graph2seq, graph2tree, and graph2graph models, Spatial and temporal graph prediction and generation, Learning and reasoning (machine reasoning, inductive logic programming, theory proving), Natural language processing (information extraction, semantic parsing, text generation), Bioinformatics (drug discovery, protein generation, protein structure prediction), Reinforcement learning (multi-agent learning, compositional imitation learning), Financial security (anti-money laundering), Cybersecurity (authentication graph, Internet of Things, malware propagation), Geographical network modeling and prediction (Transportation and mobility networks, social, Explainable/Interpretable Machine Learning, Fairness, Accountability and Transparency, Interactive Teaching Strategies and Explainability, Constraint satisfaction and programming (CP), (inductive) logic programming (LP and ILP), Learning with Multi-relational graphs (alignment, knowledge graph construction, completion, reasoning with knowledge graphs, etc. The deep learning community must often confront serious time and hardware constraints from suboptimal architectural decisions. A follow up question then is how to model and computationally measure affect in collaborative creation. ), 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. 4 pages) papers describing new, previously unpublished research in this field. Ticket Type Price Spaces; WID3161 PFT1 Zoom 2/13/2021 Bezilla PFT1 TICKET ONLY. More. 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. Please refer and submit through the workshop website listed below. 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). Online Workshop, Feb 8 or 9, 2021. Psychological models of affect are adopted by several disciplines to conceptualize and measure users’ opinions, intentions, motives, and expressions. The final schedule will be available in October. Call for Papers. System reports will be presented during poster sessions. Modeling highly structured data with time-evolving, multi-relational, and multi-modal nature. Only manuscripts in PDF or Microsoft Word format will be accepted. Work-in- progress papers, demos, and visionary papers are also welcome. for causal estimation in the behavior science world. We invite submission of papers describing innovative research and applications around the following topics. Workshop organizers will notify submitters of acceptance by November 30, 2020. We cordially welcome researchers, practitioners, and students from academia and industrial communities who are interested in the topics to participate; at least one author of each accepted submission must be present at the workshop. Machine learning and in particular deep learning has shown significant boost in performance on various computer vision tasks such as object recognition, face recognition, and semantic segmentation in the last decade. We also strongly encourage research that explores these themes, and group dynamics in content creation and in affective reactions. The demo track will be chaired by Dr. Ramon Fraga Pereira and Dr. Mor Vered. Position papers (maximum of 4 pages in length) may also be submitted. We plan to publish the papers accepted in this workshop as a book with Springer in 2021. More. Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-2021 (use the 2020 AAAI Author Kit). – AAAI 's workshop on content Authoring and Design ( CAD21 ) the AAAI-21 workshop program is now finalized,! Site can be transferred to the individual workshop websites for extensions ) assistance related to symptoms, facilities... 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