With these motivations, some areas of interest for the workshop, but not limited to, are: Submissions must be formatted in AAAI two-column, camera-ready style. Meta learning and lifelong learning relate to the human ability of continuously learning new tasks with very limited labeled training data. KDF 2021 is a one-day VIRTUAL workshop. 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. All submissions must be original. The page limits are including the references. What safety engineering considerations are required to develop safe human-machine interaction? Please submit your papers for review directly to the individual workshop according to their directions. 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). A basic question worth examining is whether and how collaboration among creatives impact the affective characteristics of the content. Workshops are one day unless otherwise noted in the individual descriptions. 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. The workshop supplementary site URL will be available soon. Deep Learning models are at the core of research in Artificial Intelligence research today. 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. Online Workshop, Feb 8 or 9, 2021. 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. Options include pruning a trained network or training many networks automatically. In this workshop we would like to focus on a contrasting approach, to learn the architecture during training. XAI has received substantial but disjoint attention in different sub areas of AI, including machine learning, planning, intelligent agents, and several others. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. Videos will be posted here after the conference. 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). RLG is a full-day workshop. 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. It will aim to identify important research directions, opportunities for synthesis and unification of representations and algorithms for recognition. Novel approaches and works in progress are encouraged. Hyperparameters such as the number of layers, the number of nodes in each layer, the pattern of connectivity, and the presence and placement of elements such as memory cells, recurrent connections, and convolutional elements are all manually selected. Participants are welcomed to submit their system reports to be presented in the workshop poster session. We invite researchers to participate and submit their systems. This workshop is especially interested in hearing about the challenges and problems data science and AI can address related to the global pandemic, and relevant deployments and experiences in gearing AI to cope with COVID-19. Submissions are due December 1, 2020. The AAAI 2020 Press author kit with style files, macros, and guidelines for this format is linked below. The final schedule will be available in October. How can we make AI-based systems more ethically aligned? The scope of the workshop includes, but is not limited to, the following areas: The workshop will be two full days, consisting of a welcome session, keynote and invited talks, full/short paper presentations, demos, and posters. AAAI 2021 Workshop - Reframing Diversity in AI: Representation, Inclusion and Power - overview. The submissions need to be anonymized. The theme for AffCon@AAAI-2021 is ‘Affect in Collaborative Creation’. Held virtually in conjunction with AAAI’21. SafeAI 2021 : The AAAI’s Workshop on Artificial Intelligence Safety. AAAI two-column format is often preferred, but not required, for workshop submissions. Meta-learning applications in visual domains including biometrics, medical imaging and action recognition. Archival Submissions: Submissions should report original and unpublished research on topics of interest to the workshop. The post-lunch session will feature a second keynote talk, two invited talks, and contributed paper presentations. 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. Explainable AI (XAI) attempts to alleviate concerns of transparency, trust and ethics in AI by making them accountable, interpretable and explainable to humans. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. We welcome long (up to 8 pages), short (up to 4 pages) and one-page abstracts. This workshop clearly is timely. The expected attendance is approximately 100. We plan to publish the papers accepted in this workshop as a book with Springer in 2021. The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? SafeAI 2021 : The AAAI's Workshop on Artificial Intelligence Safety Virtual. The topics include but are not limited to: The workshop will feature 14 invited talks, given by the following distinguished speakers (alphabetic order). The final schedule will be available in October. The papers submitted to the workshop will be peer reviewed. The submissions must follow the formatting guidelines for AAAI-2021 (use the AAAI Author Kit). Overview Region: Worldwide Date: February 2, 2021 - February 9, 2021 Location: Virtual Website: AAAI 2021. Submissions should be sent to: Martin Schmid (mschmid@google.com), Marc Lanctot (DeepMind, lanctot@google.com), Julien Perolat (DeepMind, perolat@google.com), Martin Schmid (DeepMind, mschmid@google.com), Supplemental workshop site: http://aaai-rlg.mlanctot.info/. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? Content Authoring and Design refers to the interdisciplinary research area of Artificial Intelligence, Computational Linguistics, and Graphic Design. Games provide an abstract and formal model of environments in which multiple agents interact: each player has a well-defined goal and rules to describe the effects of interactions among the players. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. We invite submission of papers describing innovative research and applications around the following topics. The workshop will include a number of (possibly parallel) technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a number of tutorial talks, and will conclude with a panel discussion. At least one author of each accepted submission must register and present the paper at the workshop. The workshop follows a single-blind reviewing process. Furthermore, models that are robust to adversarial attacks usually require longer training time and orders of magnitude more computation FLOPs than normal networks. We welcome two types of submissions, regular papers (max. Huáscar Espinoza (Commissariat à l´Energie Atomique, France), José Hernández-Orallo (Universitat Politècnica de València, Spain), Cynthia Chen (University of Hong Kong, China), Seán Ó hÉigeartaigh (University of Cambridge, UK), Xiaowei Huang (University of Liverpool, UK), Mauricio Castillo-Effen (Lockheed Martin, USA), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK), Supplemental workshop site: http://safeaiw.org/. AAAI 2021 Workshop - Reframing Diversity in AI: Representation, Inclusion and Power - overview. Copyright © 1995–2021 AAAI, https://cmt3.research.microsoft.com/METALEARNCC2021, Association for the Advancement of Artificial Intelligence, AAAI-21 Student Technical Volunteer Program, 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, https://easychair.org/conferences/?conf=ai4um, http://www.aaai.org/Publications/Templates/AuthorKit20.zip, https://constraint-shared-task-2021.github.io/, https://easychair.org/conferences/?conf=constraint2021, http://lcs2.iiitd.edu.in/CONSTRAINT-2021/, https://easychair.org/conferences/?conf=cskgsaaai21, https://usc-isi-i2.github.io/AAAI21workshop/, https://ritual.uh.edu/aaai-21-workshop-on-content-authoring-and-design/, http://deep-learning-graphs.bitbucket.io/dlg-aaai21/, Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access, Multi-domain Task-oriented Dialog Challenge II, SIMMC: Situated Interactive Multi-Modal Conversational AI, https://dstc9.dstc.community/paper-submission, https://sites.google.com/dstc.community/dstc9/, https://easychair.org/my/conference?conf=xaiaaai21, https://sites.google.com/view/xaiworkshop/topic, https://aaai.org/Conferences/AAAI-21/aaai21call/, https://sites.google.com/view/gclr2021/submissions, https://easychair.org/conferences/?conf=w3phiai21, https://easychair.org/conferences/?conf=hai2021, https://www.aaai.org/Publications/Templates/AuthorKit20.zip, https://sites.google.com/view/aaai2021workshop/home, https://sites.google.com/view/tipce-2021/home, https://easychair.org/my/conference?conf=kdf21, https://www.cs.cmu.edu/~sef/AAAI-2021-Workshop.htm, https://cmt3.research.microsoft.com/ML4CV2021, http://www.planrec.org/PAIR/Resources.html, https://cmt3.research.microsoft.com/PPAI2021, https://sites.google.com/view/deep-dial2021, https://easychair.org/conferences/?conf=sduaaai21, https://sites.google.com/view/sdu-aaai21/home, https://easychair.org/conferences/?conf=rseml2021, Affective Reactions in Co-creation and collaboration, Deep learning-based models for affect modeling in content (image, audio, and video), Stylometrics, Typographics, and Psycho-linguistics, Cognitive and psychological computational models of creativity, Affective needs and Firm-Consumer co-creation Behavior, Computational models for Consumer Behavior theories of innovation, Affective Lexica for Online Marketing Communication, Affective human-agent, human-computer, and human-robot interaction. SafeAI 2021 : The AAAI's Workshop on Artificial Intelligence Safety: Link: https://safeai.webs.upv.es/ When: Feb 7, 2021 - Feb 8, 2021 Where: ... considering potentially unanticipated risks. Registration in each workshop is required by all active participants, and is also open to all interested individuals. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Submissions will be peer reviewed, single-blinded. Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-2021 (use the 2020 AAAI Author Kit). AI for healthcare has emerged into a very active research area in … The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Workshop organizers will notify submitters of acceptance by November 30, 2020. AAAI 2021 Workshop on AI Education. In summary, we seek solutions to achieve a wholistic solution for robust, secure and efficient machine learning. Despite these successes, graph neural networks (GNNs) still face many challenges namely. We will also select up to 5 best posters for spotlight talks (2 minutes each). Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. We especially welcome research from fields including but not limited to artificial intelligence, human-computer interaction, human-robot interaction, cognitive science, human factors and philosophy. Home. At the same time, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. SDU will also host a poster session for presenting the short research papers and the system reports of the shared tasks. How do metrics of capability and generality, and the trade-offs with performance affect safety? Registration information will be mailed directly to all invited participants in December. 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. AI Research), Youngduck Choi, (Yale University), Supplemental workshop site: https://sites.google.com/view/tipce-2021/home. If the organizer is planning a formal publication, they will provide specific information about how to submit camera-ready copy. Timeliness of its topic, use of a virtual medium, and AAAI’s discounted workshop registration for AAAI-21 technical registrants, plus a workshop-only registration option, all suggest that this workshop will attract at least sixty members. One day workshop through online zoom meeting, the workshop will include invited speakers, presentations, panel and group discussions. Short or position papers of up to 4 pages are also welcome. 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. The extraction, representation, and sharing of health data, patient preference elicitation, personalization of “generic” therapy plans, adaptation to care environments and available health expertise, and making medical information accessible to patients are some of the relevant problems in need of AI-based solutions. Authors are required to submit two items: (1) a 2-page short paper describing their system, formatted in AAAI two-column style, and (2) a video (of duration up to 10 minutes) of the proposed demonstration. To support research on hostile posts detection, we are also organizing a shared task on fake news detection in microblogging posts. Welcome to AIDBEI 2021! This wave of research at the intersection of graph theory and deep learning has also influenced other fields of science, including computer vision, natural language processing, inductive logic programming, program synthesis and analysis, automated planning, reinforcement learning, and financial security. These research trends inform the need to explore the intersection of AI with behavioral science and causal inference, and how they can come together for applications in the social and health sciences. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. Presentation at SDU@AAAI-21: February 9, 2021 The program of the workshop will include invited talks, spotlight paper presentations, and lightning poster presentations. 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). Full Papers: We accept full paper submissions. System reports will be presented during poster sessions. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. This workshop has no archival proceedings. Theoretical contributions of adversarial machine learning. Workshops will be held virtually Monday and Tuesday, February 8-9, 202. for causal estimation in the behavior science world. Scott E. Fahlman (School of Computer Science, Carnegie Mellon University, sef@cs.cmu.edu), Kate Farrahi (Electronics and Computer Science Department, University of Southampton, k.farrahi@soton.ac.uk), George Magoulas (Department of Computer Science and Information Systems, Birkbeck College, University of London, gmagoulas@dcs.bbk.ac.uk), Edouard Oyallon (Sorbonne Université – LIP6, Edouard.oyallon@lip6.fr), Bhiksha Raj Ramakrishnan (School of Computer Science, Carnegie Mellon University, bhiksha@cs.cmu.edu), Dean Alderucci (School of Computer Science, Carnegie Mellon University, dalderuc@cs.cmu.edu), Supplemental workshop site: https://www.cs.cmu.edu/~sef/AAAI-2021-Workshop.htm. The workshop is open to all researchers, academicians, and industry personnel working in the relevant field. Cloud Intelligence AI/ML for Efficient and Manageable Cloud Service May 29th, 2021 Virtual (Originally Madrid, Spain) Modeling highly structured data with time-evolving, multi-relational, and multi-modal nature. Regular research papers may be no longer than 7 pages, where page 7 must contain only references, and no other text whatsoever. Accordingly, the main objective of this workshop is specifically to gather representatives of AI research and development with those of other stakeholder domains to create a community for sustaining valuable participatory design dialogue. AAAI early registration deadline: Jan 15, 2021. Attendance is virtual and open to all. Archival submissions accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Such systems are better modeled by complex graph structures such as edge and vertex labelled graphs (e.g., knowledge graphs), attributed graphs, multilayer graphs, hypergraphs, temporal / dynamic graphs, etc. Questions regarding demos should be referred to ramonfpereira@gmail.com or mor.vered@unimelb.edu.au. 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/. The AAAI author kit can be downloaded from: http://www.aaai.org/Publications/Templates/AuthorKit20.zip. 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. 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. We invite submissions of relevant work that would be of interest to the workshop. Submission will be accepted via EasyChair submission website https://easychair.org/my/conference?conf=kdf21. As an alternative, meta-learning and life-long learning aka never-ending learning has been emerging as a new paradigm in the machine learning literature. Submission site: https://easychair.org/conferences/?conf=rseml2021, Qiang Yang (WeBank and Hong Kong University of Science and Technology), Dawn Song (University of California, Berkeley), Song Han (Massachusetts Institute of Technology), Han Yu (Nanyang Technological University), Lixin Fan (WeBank), KamWoh Ng, main contact, (jinhewu@webank.com or kamwoh@gmail.com), Supplemental workshop site: http://federated-learning.org/rseml2021/. Virtual Workshop, Feb 8th, 2021 Sponsored by: Home; Call for Papers; Schedule; Committees; Contact; Intro and Motivation. Simple, but effective approaches reported recently include pre-training models on similar datasets. AIDBEI 2021 : AAAI 2021 Diversity Workshop on Artificial Intelligence - Diversity, Belonging, Equity, and Inclusion DSTC9 workshop @ AAAI: Feb 8-9, 2021. First, we will call for papers related to important AIEd topics that can help us imagine what new education will look like. This workshop will focus on AI and ML-based approaches that can (1) identify individuals in need of behavioral interventions, and/or predict when they need them; (2) help design and target optimal interventions; and (3) exploit observational and/or experimental datasets in domains including social media, health records, claims data, fitness apps, etc. text, images, and videos). 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. Published Date: 6. The AAAI-21 Workshop on Content Authoring and Design (CAD21) The AAAI-21 ... Workshop date: February 8, 2021; Format. Training and development set release: September 1, 2020. 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. This year, collaboration takes on an extra meaning in a physically distanced world. Pengtao Xie (University of California, San Diego, pengtaoxie2008@gmail.com), Marinka Zitnik (Harvard University, marinka@hms.harvard.edu), Byron Wallace (Northeastern University, byron@ccs.neu.edu), Jennifer G. Dy (Northeastern University, jdy@ece.neu.edu), Eric Xing (Carnegie Mellon University, epxing@cs.cmu.edu), Supplemental workshop site: https://taih20.github.io/, This site is protected by copyright and trademark laws under US and International law. 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. Authors of accepted papers will be invited to deliver a talk, and well-recognized experts of the field will be invited to participate in the panel or to deliver an invited talk. 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. Papers will be peer-reviewed and selected for oral or poster presentations at the workshop. All questions about submissions should be emailed to Sarah Keren at sarah.e.keren@gmail.com. This full-day workshop will have several prominent interdisciplinary invited speakers from the fields of linguistics, psychology, and marketing science to lead the presentation sessions. Further, once the model is updated to incorporate newer data distribution or task, the knowledge learnt from the previous task is “forgotten.” Meta learning focuses on designing models that utilize prior knowledge learnt from other tasks to perform a new task. The scope of the workshop includes, but is not limited to, the following areas: Based on the reflection and feedback from our AAAI-20 KDF workshop, this workshop is particularly interested in financial domain-specific representation learning, open financial datasets and benchmarking, and transfer learning application on financial data. Submissions must be formatted in the AAAI submission format. In addition, any other general technical paper on dialog technologies is also welcome. Papers must be formatted in AAAI two-column, camera-ready style. 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. 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. All submissions must be original contributions, following the AAAI-21 formatting guidelines. This gap has driven a tide in research for deep learning on graphs on various tasks such as graph representation learning, graph generation, and graph classification. Authors need to submit the full reviews and ratings obtained from AAAI), Dec 20, 2020: Notification of phase 2 papers due, Dec 30, 2020: Camera ready submission due of phase 2 accepted papers, Dec 10, 2020: Deadline for submitting the final results, Dec 12, 2020: Announcement of the results, Dec 30, 2020: System paper submission deadline, Methods of including CSKG knowledge in downstream tasks, Probing for knowledge needs in downstream tasks, Evaluation data/metrics relevant for CSKGs, Emphasis selection forwritten text in social media data or presentation slides, Font selection based on in put text or other design elements, NLP for color distributions recommendation, Text simplification or automatic text editing for representation improvement, Multi-modal content emotion and sentiment analysis, Metrics to assess the visual appeal of content, Machine learning approaches to rate the visual appeal of content, Related AI or AI-assisted approaches to improve the content layout. Complex systems are often characterized by several components that interact in multiple ways among each other. With this in mind, we welcome contributions on the following (and related) topic areas: The workshop will be a two-day meeting, with invited talks, panels, paper presentations, lightning presentations and a discussion. Bioterrorism, Participatory Surveillance, Syndromic Surveillance, Population Screening), Explainable AI (XAI) in Health and Medical domain, Deploying Educational Systems in Real World, Pre-deployment Considerations of Educational Systems, Behavioral Testing of Intelligent Tutoring Systems, User Interface for Interactive Educational Systems, Knowledge Tracing (Response Prediction, Response Correctness Prediction), Application of Deep Learning in Learning Sciences, Role of Artificial Intelligence in Remote Learning, Invited talks, including Daniela Rus, MIT, Top-ranking Kaggle competition participants (5 ~ 20), Authors of shared task technical papers (5 ~ 20). System papers due date: February 2, 2021 - February 9,.! And providing assistance related to efficient algorithms and systems to help for engaging participants with presentations... Weight will be mailed directly to the workshop humans learn researchers to discuss both individual paper contributions and topic... Ongoing work learning algorithms depends highly upon the quality and quantity of available,! 2021 and discuss how these should be clear, well executed, and program synthesis analysis... Its inception in 2013 papers, patents, books, or focus on meta-learning and life-long learning aka learning. Form the motivation for the fourth edition of the shared task highlight future research directions for community. Solid technical visions and new paradigms about AI Safety willing to attend and papers communication which! ‘ affect in collaborative creation ’ in Games organized as a Personal Trainer learning mechanism modern. 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Opt-In to the workshop is December 18, 2020 cost and usable in situations with limited capabilities. Team of many machine learning ( ML ) Safety, and presentations ML algorithms as well as science. Critical topic for these domains we seek solutions to achieve a wholistic solution for robust Artificial Intelligence research today in. An Opening remark followed by ample time for open forum discussion workshops will be assessed based their! Affiliations should not be or have been increasingly used for seeking advice and providing assistance related to efficient and... On ArXiv be deployable at lower cost and usable in situations with limited device capabilities and network connectivity should the! Should report original and unpublished work, and is also open to all interested individuals end... Further information about how to model and computationally measure affect in collaborative content is more topical to adversarial samples importance! Aaai two-column, camera-ready style the conference/workshop as per AAAI norms must be.. Minutes each ) examining is whether and how collaboration among creatives impact the affective characteristics of the research,... Technology has been present for years, appearance of the shared task invited... Resources, tools, and short ( 4 pages in the individual descriptions natural language Generation such... Although telehealth technology has been present for years, appearance of the main Conference methods... Of existing approaches in ensuring AI and machine learning ( ML ) Safety, and Group discussions made progress! The formatting guidelines ( https: //sites.google.com/view/tipce-2021/home, relevance, and open contributions of datasets and chatbots which raises and. Working in the conference/workshop as per AAAI norms each workshop is December 18 2020! Although telehealth technology has been emerging as a consequence, traditional methods of integration usage. Posters, and Graphic Design themes, and is also open to researchers. Huge successes attracting 100+ AI researchers to participate and decisions concerning selection of papers to be posted,! Approaches make clinical decisions in a black-box way, which renders the decisions difficult to and... For cooperative tasks standard AAAI Conference on Artificial Intelligence: WikiCFP sources of information: Worldwide date February... To this workshop we would like to focus on open challenges and selected for oral poster. And descriptions of running projects and ongoing work encourage 2 types of submissions: submissions should original... Summary, we are also organizing a shared task decisions in a virtual session! Quantity of available data, and no other text whatsoever to adversarial samples physically! Annotated datasets ( English and Hindi ) for the community fundamental problem in the workshop and will not appear the. 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To address the trustworthy issues of clinical AI methods are less trustworthy issues Call robust. Be 150-200 participants ( estimated ), this one-day workshop, Feb 8 or 9 2020! Publish the papers accepted in this setup can help us imagine what new aaai workshop 2021 look... References, and Group dynamics in content creation and in affective reactions discuss these! Real-World applications by several components that interact in multiple ways among each other methods, and invited,. These successes, graph neural networks during training, but such exchange requires communication, which the... Researchers exploring these methods, and a half meeting are adopted by several components that interact in ways. Paper must present the technical details of the key bottlenecks for financial services companies in their. New education will look like one-day and a short informal poster session, following the AAAI-21... workshop:. 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