We cordially welcome researchers, practitioners, and students from academia and industry who are interested in understanding and discussing how data scarcity and bias can be addressed in AI to participate. "How events unfold: spatiotemporal mining in social media." Document structure and layout learning and recognition. We solicit papers describing significant and innovative research and applications to the field of job marketplaces. It is important to learn how to use AI effectively in these areas in order to be able to motivate and help people to take actions that maximize their welfare. 1466-1469. This workshop on Trustworthy Autonomous Systems Engineering (TRASE) offers an opportunity to highlight state of the art research in trustworthy autonomous systems, as well as provide a vision for future foundational and applied advances in this critical area at the intersection of AI and Cyber-Physical Systems. Adverse event detection by integrating Twitter data and VAERS. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. For general inquiries about AI2ASE, please write to the lead organizer aryan.deshwal@wsu.edu or jana.doppa@wsu.edu. We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. Send this CFP to us by mail: cfp@ourglocal.org. The workshop will focus on the application of AI to problems in cyber-security. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. The deep learning community must often confront serious time and hardware constraints from suboptimal architectural decisions. Poster/short/position papers submission deadline: Nov 5, 2021Full paper submission deadline: Nov 5, 2021Paper notification: Dec 3, 2021. Note: This is the inaugural event of a conference dedicated to Graph Machine Learning. "Multi-resolution Spatial Event Forecasting in Social Media." Key obstacles include lack of high-quality data, difficulty in embedding complex scientific and engineering knowledge in learning, and the need for high-dimensional design space exploration under constrained budgets. Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Paper Submission Deadline: 23:59 on Thursday. "A Topic-focused Trust Model for Twitter." Deep Learning models are at the core of research in Artificial Intelligence research today. Submissions will go through a double-blind review process. The robust development and assured deployment of AI systems: Participants will discuss how to leverage and update common software development paradigms, e.g., DevSecOps, to incorporate relevant aspects of system-level AI assurance. However, research in the AI field also shows that their performance in the wild is far from practical due to the lack of model efficiency and robustness towards open-world data and scenarios. 7, no. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. The program consists of poster sessions for accepted papers, and invited and spotlight talks. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. Both the research papers track and the applied data science papers track will take . SDU accepts both long (8 pages including references) and short (4 pages including references) papers. It is one of the key bottlenecks for financial services companies to improve their operating productivity. You also have the option to opt-out of these cookies. Oct. 24, 2021: The KDD2022 website is LIVE! The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Social Media based Simulation Models for Understanding Disease Dynamics. Xiaosheng Li, Jessica Lin, Liang Zhao. 2022. Explainable Agency captures the idea that AI systems will need to be trusted by human agents and, as autonomous agents themselves must be able to explain their decisions and the reasoning that produced their choices (Langley et al., 2017). Novel algorithmic solutions to causal inference or discovery problems using information-theoretic tools or assumptions. 25-50 attendees including invited speakers and accepted papers. Frontiers in Big Data, accepted, 2021. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. Please refer to the KDD 2022 website for the policies of Conflict of Interest, Violations of Originality, and Dual Submission: A Best Paper Award will be presented to the best full paper as voted by the reviewers. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Algorithms and theories for learning AI models under bias and scarcity. It will include multiple keynote speakers, invited talks, a panel discussion, and two poster sessions for the accepted papers. The 39th IEEE International Conference on Data Engineering (ICDE 2023), accepted. While there have been extensive independent research threads on the subject of safety and reliability of specific sub-problems in autonomy, such as the problem of robust control, as well as recent considerations of robust AI-based perception, there has been considerably less research on investigating robustness and trust in end-to-end autonomy, where AI-based perception is integrated with planning and control in an open loop. The aim of the hack-a-thon is not only to foster innovation and potentially provide answers to outstanding research problems, but rather to engage the community and create new collaborations. A fundamental problem in the use of artificial neural networks is that the first step is to guess the network architecture. Although textual data is prevalent in a large amount of finance-related business problems, we also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc. [Best Poster Runner-Up Award]. We welcome full paper submissions (up to 8 pages, excluding references or supplementary materials). For each accepted paper, at least one author must attend the workshop and present the paper. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2015), regular paper (acceptance rate: 8.4%), Atlantic City, NJ, pp. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. New self-supervised proxy tasks or new approaches using self-supervised models in speech and audio processing. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. However, you may visit "Cookie Settings" to provide a controlled consent. Data mining systems and platforms, and their efficiency, scalability, security and privacy. This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. Precision agriculture and farm management, Development of open-source software, libraries, annotation tools, or benchmark datasets, Bias/equity in algorithmic decision-making, AI for ITS time-series and spatio-temporal data analyses, AI for the applications of transportation, Applications and techniques in image recognition based on AI techniques for ITS, Applications and techniques in autonomous cars and ships based on AI techniques. Accepted papers will be given the opportunity to present at the spotlight sessions during the workshop. Please keep your paper format according to AAAI Formatting Instructions (two-column format). 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. NOTE: Mandatory abstract deadline on Oct 13, 2022. Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. Topics of interest include but are not limited to: (1) Survey papers summarizing recent advances in RL with applicability to ED; (2) Developing toolkits and datasets for applying RL methods to ED; (3) Using RL for online evaluation and A/B testing of different intervention strategies in ED; (4) Novel applications of RL for ED problem settings; (5) Using pedagogical theories to narrow the policy space of RL methods; (6) Using RL methodology as a computational model of students in open-ended domains; (7) Developing novel offline RL methods that can efficiently leverage historical student data; (8) Combining statistical power of RL with symbolic reasoning to ensure the robustness for ED. The accepted papers are allowed to be submitted to other conference venues. The papers have to be submitted through EasyChair. PDF suitable for ArXiv repository (4 to 8 pages). Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. And considering robustness, input data with noises frequently occur in open-world scenarios, which presents critical challenges for the building of robust AI systems in practice. ASPLOS 2023 will be moving to three submission deadlines. Previously published work (or under-review) is acceptable. Junxiang Wang and Liang Zhao. Papers will be submitted to OpenReview system: Waiting for approval,https://openreview.net/forum?id=6uMNTvU-akO, Workshop Chair:Parisa Kordjamshidi, +1-2174187004, kordjams@msu.edu, Organizing Committee:Parisa Kordjamshidi (Michigan State University, kordjams@msu.edu), Behrouz Babaki (Mila/HEC Montreal, behrouz.babaki@mila.quebec), Sebastijan Dumani (KU Leuven, sebastijan.dumancic@cs.kuleuven.be), Alex Ratner (University of Washington, ajratner@cs.washington.edu), Hossein Rajaby Faghihi (Michigan State University, rajabyfa@msu.edu), Hamid Karimian (Michigan State University, karimian@msu.edu), Organizing Committee:Dan Roth (University of Pennsylvania, danroth@seas.upenn.edu) and Guy Van Den Broeck (University of California Los Angeles, guyvdb@cs.ucla.edu), Supplemental workshop site:https://clear-workshop.github.io. See ICDM Acceptance Rates for more information. Their results will be submitted in either a short paper or poster format. Adversarial attacking deep learning systems, Robust architectures against adversarial attacks, Hardware implementation and on-device deployment, Benchmark for evaluating model robustness, New methodologies and architectures for efficient and robust deep learning, December 3, 2021 Acceptance Notification, Applications of privacy-preserving AI systems, Differential privacy: theory and applications, Distributed privacy-preserving algorithms, Privacy preserving optimization and machine learning, Privacy preserving test cases and benchmarks. Realizing the vision of Document Intelligence remains a research challenge that requires a multi-disciplinary perspective spanning not only natural language processing and understanding, but also computer vision, layout understanding, knowledge representation and reasoning, data mining, knowledge discovery, information retrieval, and more all of which have been profoundly impacted and advanced by deep learning in the last few years. Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators. Apr 25th through Fri the 29th, 2022. . The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. Interpretable Deep Graph Generation with Node-edge Codisentanglement. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. These challenges are widely studied in enterprise networks, but there are many gaps in research and practice as well as novel problems in other domains. [paper] Microsoft Research CMT: https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/ or https://aka.ms/di-2022, Workshop registration will be processed with the main KDD 2022 conference: https://kdd.org/kdd2022/, Standard ACM Conference Proceedings Template, Conflict of Interest Policy for ACM Publications, https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/, Second Document Intelligence Workshop @ KDD 2021, First Document Intelligence Workshop @ NeurIPS 2019, Hamid Motahari, Nigel Duffy, Paul Bennett, and Tania Bedrax-Weiss. Such advances would enrich the range of applicability of semi-autonomous systems to real-world tasks, most of which involve cooperation with one or more human partners. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. Attendance is open to all; at least one author of each accepted submission must be physically/virtually present at the workshop. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. [Best Paper Award Shortlist]. 639-648, Nov 2015. Welcome to the home of the 2023 ACM SIGMOD/PODS Conference, to be held in the Seattle metropolitan area, Washington, USA, on June 18 - June 23, 2023. ACM, New York, NY, USA, 10 pages. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), (acceptance rate: 16.8%), August 23-27, 2020, Virtual Event, CA, USA. [paper] You may file an application just the same, but Universit de Montral cannot guarantee that it will respond quickly enough for you to be able to complete all the formalities required to study in Quebec. [Best Paper Award]. Publication in HC-SSL does not prohibit authors from publishing their papers in archival venues such as NeurIPS/ICLR/ICML or IEEE/ACM Conferences and Journals. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. May 8, 2022: Student Travel Awards announcement is, Apr. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities. The workshop will be organized as a full day meeting. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. PLOS ONE (impact factor: 3.534), vo. We invite workshop participants to submit their original contributions following the AAAI format through EasyChair. 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.
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