Out of these, around 20~30 papers are accepted. The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. The trustworthy issues of clinical AI methods were not discussed. Furthermore, DNNs are data greedy in the context of supervised learning, and not well developed for limited label learning, for instance for semi-supervised learning, self-supervised learning, or unsupervised learning. Algorithms and theories for trustworthy AI models. Integrated syntax and semantic approaches for document understanding. A Systematic Survey on Deep Generative Models for Graph Generation. However, theoreticians and practitioners of AI and Safety are confronted with different levels of safety, different ethical standards and values, and different degrees of liability, that force them to examine a multitude of trade-offs and alternative solutions. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . The workshop will be organized as a full day meeting. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons second headquarter, New initiatives at KDD 2022: undergraduate research and poster session, Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel, Workshops and hands-on tutorials on emerging topics. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Extracting knowledge or insights from this abundance of data lies at the heart of 21st century discovery, which can be used to inform decisions, coordinate activities, optimize processes, improve products and services, as well as enhance productivity and innovation across a wide range of business and scientific problems. 625-634, New Orleans, US, Dec 2017. ACM, 2014. Position papers are welcome. The post-lunch session will feature one long talk, two short talks, and a poster session. At least one author of each accepted submission must register and present their paper at the workshop. Disentangled Spatiotemporal Graph Generative Model. Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. Liang Zhao, Feng Chen, Jing Dai, Ting Hua, Chang-Tien Lu, and Naren Ramakrishnan. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. The third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) builds on the success of previous years PPAI-20 and PPAI-21 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. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. ML-guided rare event modeling and system uncertainty quantification, Development of software, libraries, or benchmark datasets, and. In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. Check the CFP for details Deadline: ICDM 2020 . Exploring the limits of self-supervised learning approaches for speech and audio processing, for example, adverse environment conditions, multiple languages, or generalization across downstream tasks. All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment. Social Media based Simulation Models for Understanding Disease Dynamics. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. Submission at:https://easychair.org/my/conference?conf=edsmls2022. search, ranking, recommendation, and personalization. Big data Journal (impact factor: 1.489), vo. In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. Despite the great success of deep neural networks (DNNs) in many artificial intelligence (AI) tasks, they still suffer from limitations, such as poor generalization behavior for out-of-distribution (OOD) data, vulnerability to adversarial examples, and the black-box nature of DNNs. Deadline in . Declarative languages and differentiable programming. Spatiotemporal Innovation Center Team. 2999-3006, New Orleans, US, Feb 2018. Taking the pulse of COVID-19: a spatiotemporal perspective. Attendance is open to all prior registration to the workshop/conference. Rather than studying robustness with respect to particular ML algorithms, our approach will be to explore robustness assurance at the system architecture level, during both development and deployment, and within the human-machine teaming context. Securing personal information, genomics, and intellectual property, Adversarial attacks and defenses on biomedical datasets, Detecting and preventing spread of misinformation, Usable security and privacy for digital health information, Phishing and other attacks using health information, Novel use of biometrics to enhance security, Machine learning (including RL) security and resiliency, Automation of data labeling and ML techniques, Operational and commercial applications of AI, Explanations of security decisions and vulnerability of explanations. Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting.Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), (acceptance rate: 16.2%), Hawaii, USA, Feb 2019, accepted. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. Yuanqi Du*, Shiyu Wang* (co-first author), Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao. Apr 11-14, 2022. Papers that are under review at another conference or journal are acceptable for submission at this workshop, but we will not accept papers that have already been accepted or published at a venue with formal proceedings (including KDD 2022). The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Thirty-First AAAI Conference on Artificial Intelligence, pp. Highlights: Government day with NSF, NIH, DARPA, NIST, and IARPA Local industries in the DC Metro Area, including the Amazon's second headquarter New initiatives at KDD 2022: undergraduate research and poster session Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel Workshops and hands-on tutorials on emerging topics In addition, any other work on dialog research is welcome to the general technical track. 4 (2014): 185-195. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. New self-supervised proxy tasks or new approaches using self-supervised models in speech and audio processing. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. Recent years have witnessed growing interest in human and AI systems with the increasing realisation that machines can indeed meet objectives specified but the real question becomes have they been given the right objectives. There is now a great deal of interest in finding better alternatives to this scheme. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. 47, no. 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 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. Knowledge Discovery and Data Mining is an interdisciplinary area focusing It provides an international forum . "A Topic-focused Trust Model for Twitter." Martin Michalowski, PhD, FAMIA (Co-chair), University of Minnesota; Arash Shaban-Nejad, PhD, MPH (Co-chair), The University of Tennessee Health Science Center Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics; Simone Bianco, PhD (Co-chair), IBM Almaden Research Center; Szymon Wilk, PhD, Poznan University of Technology; David L. Buckeridge, MD, PhD, McGill University; John S. Brownstein, PhD, Boston Childrens Hospital, Workshop URL:http://w3phiai2022.w3phi.com/. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. 2022. Registration Opens: Feb 02 '22 02:00 PM UTC: Registration Cancellation Refund Deadline: Apr 18 '22(Anywhere on Earth) Paper Submissions Abstract Submission Deadline: Sep 29 '21 12:00 AM UTC: Paper Submission deadline: Oct 06 '21 12:00 AM . This workshop aims to bring together researchers from industry and academia and from different disciplines in AI and surrounding areas to explore challenges and innovations in IML. Brave new ideas to learn AI models under bias and scarcity. Make sure your desired study programs are open for admission in the session when you would like to start your studies. 689-698, Barcelona, Spain, Dec 2016. Three specific roles are part of this format: session chairs, presenters and paper discussants. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. Novel algorithmic solutions to causal inference or discovery problems using information-theoretic tools or assumptions. AI Conference Deadlines Share. Handwritten recognition in business documents. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. Sigcomm 2022! - 2022. Please note that foreign students must allow for 3 to 6 months to complete all the formalities required to study in Canada. Instead of grading each piece of work individually, which can take up a bulk of extra time, intelligent scoring tools allow teachers the ability to have their students work automatically graded. The cookie is used to store the user consent for the cookies in the category "Other. AAAI-22 Workshop Program - AAAI Full papers: Submissions must represent original material that has not appeared elsewhere for publication and that is not under review for another refereed publication. The submissions must follow the formatting guidelines for AAAI-22. Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Dinakarrao, Houman Homayoun, Liang Zhao. 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. The 2022 ACM SIGMOD/PODS Conference: Philidelphia, Pennsylvania, USA The trained models are intended to assign scores to novel utterances, assessing whether they are possible or likely utterances in the training language. Prof. Max Welling, University of Amsterdam and Microsoft ResearchProf. Necessary cookies are absolutely essential for the website to function properly. Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. System reports will be presented during poster sessions. Nowadays, machine learning solutions are widely deployed. All questions about submissions should be emailed to nurendra@vt.edu, AmazonKDDCup2022: KDD Cup 2022 Workshop: ESCI Challenge for Improving Product Search, Washington DC, DC, United States, August 17, 2022, https://easychair.org/conferences/?conf=amazonkddcup2022, https://www.acm.org/publications/proceedings-template. While we are planning an in-person workshop to be held at AAAI-22, we aim to accommodate attendees who may not be able to travel to Vancouver by allowing participation via live virtual invited talks and virtual poster sessions. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, accepted (acceptance rate: 19.9%), pp. For questions on submission and the workshop, please send email through the following link: Track 1: Tony Qin (Lyft), Rui Song (NC State & Amazon), Hongtu Zhu (UNC), Michael Jordan (Berkeley), Track 2: Liangjie Hong (LinkedIn), Mohammed Korayem (CareerBuilder), Haiyan Luo (Indeed). Counter-intuitive behaviors of ML models will largely affect the public trust on AI techniques, while a revolution of machine learning/deep learning methods may be an urgent need. The main goal of the dialog system technology challenge (DSTC) workshop is to share the result of five main tracks of the tenth dialog system technology challenge (DSTC10). Pourya Hoseinip, Liang Zhao, and Amarda Shehu. Recently self-supervised approaches for speech/audio processing are also gaining attention. KDD 2022. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. applications: ridesharing, online retail, food delivery, house rental, real estate, and more. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. Iclr 2022 Online Flu Epidemiological Deep Modeling on For example, FL is still at the risk of various kinds of attacks that may result in leakage of individual data source privacy or degraded joint model accuracy. Welcome to DLG-KDD'22! - Bitbucket Ferdinando Fioretto (Syracuse University), Emma Frejinger (Universit de Montral), Elias B. Khalil (University of Toronto), Pashootan Vaezipoor (University of Toronto). Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery Yevgeniy Vorobeychik (Washington University in St. Louis), Bruno Sinopoli (Washington University in St. Louis), Jinghan Yang (Washington University in St. Louis), Bo Li (UIUC), Atul Prakash (University of Michigan), Supplemental Workshop site:https://jinghany.github.io/trase2022/. Note: The workshop is a collaboration between NASSMA organisation, Deepmind and UM6P. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. [code] Outcomes include outlining the main research challenges in this area, potential future directions, and cross-pollination between AI researchers and domain experts in agriculture and food systems. All time are 23:59, AoE (Anywhere on Earth), Hongteng Xu (Renmin University of China, hongtengxu@ruc.edu.cn, main contact), Julie Delon (Universit de Paris, julie.delon@u-paris.fr), Facundo Mmoli (Ohio State University, facundo.memoli@gmail.com), Tom Needham (Florida State University, tneedham@fsu.edu). Despite rapid recent progress, it has proven to be challenging for Artificial Intelligence (AI) algorithms to be integrated into real-world applications such as autonomous vehicles, industrial robotics, and healthcare. Table identification and extraction from business documents. . IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. The Institute for Operations Research and the Management Sciences, [Submission deadline extended, June 3] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, We are excited to announce our upcoming workshop at.