Novel ML methods in the computational material and physical sciences. Data mining systems and platforms, and their efficiency, scalability, security and privacy. We encourage all the teams who participated in the challenge to join the workshop. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), New Orleans, US, Feb 2018, pp. We would especially like to highlight approaches that are qualitatively different from some popular but computationally intensive NAS methods. Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. The workshop page ishttps://sites.google.com/view/aaaiwfs2022, and it will include the most up-to-date information, including the exact schedule. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. NOTE: Mandatory abstract deadline: 2022-08-08 Deadline: AAAI 157. At least one author of each accepted submission must be present at the workshop. Expected attendance is 40-50 people. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. We will specifically invite participants of the DSTC10 tasks, track organizers, and authors of accepted papers in the general technical track. We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. 7, no. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. Estimate of the audience size: 400-500 attendees (based on the number of attendees in previous DLG workshops in KDD19, AAAI20, KDD20 and AAAI21). 11-13. [code] 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. Paper Final Version Due: Monday August 1, 2022. 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. 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. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. 10, pp. The academic session will focus on most recent research developments on GNNs in various application domains. We accept two types of submissions full research paper no longer than 8 pages (including references) and short/poster paper with 2-4 pages. 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. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, and Naren Ramakrishnan. All papers must be submitted in PDF format, using the AAAI-22 author kit. All submissions will be peer-reviewed. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. Novel methods to learn from scarce/sparse, or heterogenous, or multimodal data. Moreover, to tackle and overcome several issues in personalized healthcare, information technology will need to evolve to improve communication, collaboration, and teamwork among patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). Frontiers in Neurorobotics, (impact factor: 2.574), accepted. 2022. Conference stats are visualized below for a straightforward comparison. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. An increasing world population, coupled with finite arable land, changing diets, and the growing expense of agricultural inputs, is poised to stretch our agricultural systems to their limits. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. 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., Bioterrorism, Participatory Surveillance, Syndromic Surveillance, Population Screening), Hybrid methods, combining data driven and predictive forward models, biomedical signal analysis/modeling (EEG, ECG, PPG, EMG, fMRI, IMU, medical/clinical data, etc. The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and . Applications of causal inference and discovery in machine learning/deep learning motivated by information-theoretic approaches (e.g. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Shiyu Wang, Xiaojie Guo, Liang Zhao. 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. Characterization of fundamental limits of causal quantities using information theory. 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. Zheng Zhang and Liang Zhao. Encore track papers that have been recently published, or accepted for publication in a conference or journal. However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. Participants are welcomed to submit their system reports to be presented in the workshop. As for the Kraken, they made one trade a month ago to acquire a seventh defenceman, Jaycob Megna and did nothing else (from 'Kraken remain quiet as NHL trade deadline passes,' The Seattle . We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Complex systems are often characterized by several components that interact in multiple ways among each other. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. The papers may consist of up to seven pages of technical content plus up to two additional pages for references. Big Data 2022 December 13-16, 2022. Authors are strongly encouraged to make data and code publicly available whenever possible. A tag already exists with the provided branch name. Submission Guidelines The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. Full papers are allocated 20m presentation and 10m discussion. arXiv preprint arXiv:2002.11867 (2021), Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. 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. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng and Liang Zhao. ), Graduate (master's, specialized graduate diploma (DESS), etc. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. BEAN: Interpretable and Efficient Learning with Biologically-Enhanced Artificial Neuronal Assembly. Shi, Y., Deng, M., Yang, X., Liu, Q., Zhao, L., & Lu, C. T. "A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter." KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. 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. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), (Acceptance Rate: 26%), accepted. Disentangled Spatiotemporal Graph Generative Model. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. https://doi.org/10.1007/s10707-019-00376-9. Topics of interest in the biomedical space include: Topics of general interest to cyber-security include: Submission site:https://easychair.org/conferences/?conf=aics22, Tamara Broderick (MIT CSAIL, tamarab@mit.edu), James Holt (Laboratory for Physical Sciences, USA, holt@lps.umd.edu), Edward Raff (Booz Allen Hamilton, USA, Raff_Edward@bah.com), Ahmad Ridley (National Security Agency), Dennis Ross (MIT Lincoln Laboratory, USA, dennis.ross@ll.mit.edu), Arunesh Sinha (Singapore Management University, Singapore, aruneshs@smu.edu.sg), Diane Staheli (MIT Lincoln Laboratory, USA, diane.staheli@ll.mit.edu), William W. Streilein (MIT Lincoln Laboratory, USA, wws@ll.mit.edu), Milind Tambe (Harvard University, USA, milind_tambe@harvard.edu), Yevgeniy Vorobeychik (Washington University in Saint Louis, USA, eug.vorobey@gmail.com) Allan Wollaber (MIT Lincoln Laboratory, USA, Allan.Wollaber@ll.mit.edu), Supplemental workshop site:http://aics.site/. "Online Spatial Event Forecasting in Microblogs. Submissions of technical papers can be up to 7 pages excluding references and appendices. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. Modern surveillance systems employ tools and techniques from artificial intelligence and machine learning to monitor direct and indirect signals and indicators of disease activities for early, automatic detection of emerging outbreaks and other health-relevant patterns.