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. A follow up question then is how to model and computationally measure affect in collaborative creation. Given the ever-increasing role of the World Wide Web as a source of information in many domains including healthcare, accessing, managing, and analyzing its content has brought new opportunities and challenges. 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. We are pleased to announce the 2021 CL-Aff Shared Task: GoTeam, which will examine the challenges of affect in collaboration in a multimodal dataset comprising both, textual communication and interpersonal actions. Please refer and submit through the workshop website listed below. This workshop, with a co-hosted competition, will focus on meta-learning and few shot learning. See the webpage https://sites.google.com/view/gclr2021/submissions for detailed instructions and submission link. The workshop on CSKGs addresses these challenges, by focusing on the creation of commonsense knowledge graphs and their usage on downstream commonsense reasoning tasks. Submission site: https://easychair.org/conferences/?conf=hai2021. The past editions of the workshop were huge successes attracting 100+ AI researchers to discuss a variety of topics. 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. 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. Shared Task. 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. Original article was published by on CFPs on Artificial Intelligence : WikiCFP. All other accepted papers will present their work in a virtual poster session. The goal is to increase the visibility of work in this emerging area and facilitate researchers and practitioners with common research interests to meet each other and learn about efforts in this space. 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. Modeling highly structured data with time-evolving, multi-relational, and multi-modal nature. The goal of this workshop is to bring together the causal inference, artificial intelligence, and behavior science communities, gathering insights from each of these fields to facilitate collaboration and adaptation of theoretical and domain-specific knowledge amongst them. Meta-Learning is a way to address both issues. Fine tuning a neural network is very time consuming and far from optimal. We invite researchers and industrial practitioners to submit their original contributions following the AAAI format through EasyChair (https://easychair.org/conferences/?conf=w3phiai21). can have severe consequences, and therefore, its detection is of paramount importance for societal causes. 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. Submissions may have up to 9 pages with pages 8 and 9 containing nothing but references. We will organize a one-day workshop, featuring high-profile keynote speakers, a selection of submissions from the workshop, and a panel discussion. In particular, deep learning methods, including convolutional neural networks, are known to be ‘data-hungry,’ and require properly tuned hyper-parameters. The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services February 9th, 2021, A Virtual Workshop. For example, it is known that machine learning models are vulnerable to adversarial samples. 7 pages, including references) and short papers (max. The post-lunch session will feature a second keynote talk, two invited talks, and contributed paper presentations. These form the motivation for the fourth edition of the Workshop on Reasoning and Learning for Human-Machine Dialogues. 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. We plan to release two annotated datasets (English and Hindi) for the shared task. Studying and codifying user reactions in this setup can help understand the society and aid towards better tools for content analysis. We welcome submission of demos submitted to the demo session of the main conference. DSTC9 workshop @ AAAI: Feb 8-9, 2021. Commonsense knowledge graphs (CSKGs) are sources of background knowledge that are expected to contribute to downstream tasks like question answering, robot manipulation, and planning. Workshops will be held virtually Monday and Tuesday, February 8-9, 202. The workshop will include invited speakers, panels, virtual poster sessions, and presentations. For complete information about options in AAAI 2021, please see the AAAI 2021 web page. All submissions should be done electronically via EasyChair. Book Your Space in 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). DEEP-DIAL 21 will have reviewed paper presentations, invited talks, panels, and open contributions of datasets and chatbots. Overview Region: Worldwide Date: February 2, 2021 - February 9, 2021 Location: Virtual Website: AAAI 2021. Accepted submissions will have the option of being published on the workshop website. The deadline for submission of papers to this workshop is December 18, 2020. This workshop aims to provide a forum for bringing together experts from the different fields of AI to discuss the challenges related to any area of Urban Mobility, from the perspective of how AI techniques can be leveraged to address these challenges and whether novel AI techniques have to be developed. Overview Region: Worldwide Date: February 2, 2021 - February 9, 2021 Location: Virtual Website: AAAI 2021. 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. The workshop supplementary site URL will be available soon. All papers will be peer reviewed, single-blinded. The accepted papers are allowed to be submitted to other conference venues. The workshop will consist of contributed talks, contributed posters, and invited talks on a wide variety of the methods and applications. Thamar Solorio (University of Houston,tsolorio@uh.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Amirreza Shirani (University of Houston,ashirani@uh.edu), Nedim Lipka (Adobe Research, lipka@adobe.com), Paul Asente (Adobe Research, asente@adobe.com), Jose Echevarria (Adobe Research, echevarr@adobe.com), Supplemental workshop site: https://ritual.uh.edu/aaai-21-workshop-on-content-authoring-and-design/. Requests to participate and (optional) paper submissions are to be emailed to workshop chair by November 9, 2020. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. This manual extraction process is usually inefficient, error-prone, and inconsistent. for causal estimation in the behavior science world. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. There is no restriction on participants willing to attend the workshop. Each session will consist of a keynote, followed by research presentations, and a short informal poster session. AffCon-2021 is the fourth Affective Content Analysis workshop @ AAAI. Microsoft at AAAI 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. The topics include but are not limited to: The workshop will feature 14 invited talks, given by the following distinguished speakers (alphabetic order). More recently, due to both data privacy requirements as specified in the European Union’s General Data Protection Regulation (GDPR), and the limitations of computation power, the training process of machine learning models has extended from centralized to decentralized (i.e. AAAI 2021 Workshop: Trustworthy AI for Healthcare. SDU will also host a poster session for presenting the short research papers and the system reports of the shared tasks. 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. 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. As deep learning problems become increasingly complex, network sizes must increase and other architectural decisions become critical to success. This way, a good model or good hyperparameters can be pre-determined or learned model parameters can be transferred to the new dataset. All submissions must be in PDF format and formatted according to the Standard AAAI Conference Proceedings Template. Second, we propose a shared task about various AIEd problems on the largest public dataset, EdNet, which contains 123M interactions from more than 1M students. February 9, 2021 9:00am to 6:30pm ET. AAAI is pleased to present the AAAI-21 Workshop Program. The AAAI-21 workshop program includes 26 workshops covering a wide range of topics in artificial intelligence. Registration Full details about workshop registration will be available at AAAI 2021 Registration . Event Date: Feb 07, 2021 - Feb 08, 2021 Submission Deadline: Nov 09, 2020 : Notification of Acceptance: Nov 30, 2020 : Camera Ready Version Due : Dec 15, 2020 : EVENT WEBSITE . We accept two types of submissions – full research paper no longer than 8 pages and short/poster paper with 2-4 pages. Despite this success, the learning mechanism of modern systems remains surprisingly narrow as compared to the way humans learn. Submissions must be formatted in the AAAI submission format. 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. In summary, we seek solutions to achieve a wholistic solution for robust, secure and efficient machine learning. Domains including biometrics, medical imaging and action recognition increasingly used for advice. The sub-fields of AI has led to uneven development of XAI, and the AAAI 2020 Press kit... 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