Interpretable Deep Graph Generation with Node-edge Codisentanglement. The workshop will be a one-day meeting and will include a number of 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 tutorial talk, and will conclude with a panel discussion. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International See ICDM Acceptance Rates for more information. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. The 2023 ACM SIGMOD/PODS Conference: Seattle, Washington, USA - Welcome In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. We invite submission of papers describing innovative research and applications around the following topics. Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. The paper submissions must be in pdf format and use the AAAI official templates. Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Dinakarrao, Houman Homayoun, Liang Zhao. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. AAAI, specifically, is a great venue for our workshop because its audience spans many ML and AI communities. What AI safety considerations and experiences are relevant from industry? Lastly, learning joint modalities is of interest to both Natural Language Processing (NLP) and Computer Vision (CV) forums. The advances in web science and technology for data management, integration, mining, classification, filtering, and visualization has given rise to a variety of applications representing real-time data on epidemics. 12 (2014): 90-94. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Vds 2022 We will receive the paper on the CMT system. Multilingual document understanding methods and frameworks. Yuyang Gao, Giorgio Ascoli, Liang Zhao. All the submissions must follow the AAAI-22 formatting guidelines, camera-ready style. For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers. A tag already exists with the provided branch name. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. 8 pages), short (max. Representation Learning on Spatial Networks. . KDD 2022 | Washington DC, U.S. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. ), responsible development of human-centric SSL (e.g., safety, limitations, societal impacts, and unintended consequences), ethical and legal implications of using SSL on human-centric data, implications of SSL on robustness and fairness, implications of SSL on privacy and security, interpretability and explainability of human-centric SSL frameworks, if your work broadly addresses the use of unlabeled human-centric data with unsupervised or semi-supervised learning, if your work focuses on architectures and frameworks for SSL for sensory data beyond CV and NLP (but not necessarily human-centric data). Thank you for all your contributions, our, Paper submission deadline is now extended to. Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. December, 12-16, 2022. Additional advantages are possible, including decreased computational resources to solve a problem, reduced time for the network to make predictions, reduced requirements for training set size, and avoiding catastrophic forgetting. Position papers (4 pages in length for main content + 2 pages for references in AAAI format): we are seeking position papers that advocate for a particular approach or set of approaches, or present an overview of a promising relevant research area. Junxiang Wang, Junji Jiang, Liang Zhao. Participation of researchers from a wide variety of areas is encouraged, including Data Science, Machine Learning, Symbolic AI, Mathematical programming, Constraint Optimization, Reinforcement Learning, Dynamic control and Operations Research. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. "Robust Regression via Heuristic Hard Thresholding". Xiaosheng Li, Jessica Lin, Liang Zhao. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. The discussion in the workshop can lead to implementing FL solutions that are more accurate, robust and interpretable, and gain the trust of the FL participants. Guangji Bai and Liang Zhao. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Online marketplaces exist in a diverse set of domains and industries, for example, rideshare (Lyft, DiDi, Uber), house rental (Airbnb), real estate (Beke), online retail (Amazon, Ebay), job search (LinkedIn, Indeed.com, CareerBuilder), and food ordering and delivery (Doordash, Meituan). An example of the latter is theCascade Correlation algorithm, as well as others that incrementally build or modify a neural network during training, as needed for the problem at hand. For research track papers and applied data science track papers. We will also select some of the best posters for spotlight talks (2 minutes each). Wang, Shiyu, Yuanqi Du, Xiaojie Guo, Bo Pan, and Liang Zhao. Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Consult the list of programs available in the next session. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. Abstracts of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Oilers Outperform Division Rivals at 2023 Trade Deadline Deadlines are shown in America/Los_Angeles time. 2020. Template guidelines are here:https://www.acm.org/publications/proceedings-template. Online Flu Epidemiological Deep Modeling on convolutional neural network (CNN), recurrent neural network (RNN), etc.) How can the financial services industry balance the regulatory compliance and model governance pressures with adaptive models, Methods to combine scientific knowledge and data to build accurate predictive models, Adaptive experiment design under resource constraints, Learning cheap surrogate models to accelerate simulations, Learning effective representations for structured data, Uncertainty quantification and reasoning tools for decision-making, Explainable AI for both prediction and decision-making, Integrating AI tools into existing workflows, Challenges in applying and deployment of AI in the real-world. Specific topics of interest for the workshop include (but are not limited to) foundational and translational AI activities related to: The workshop will be a one day meeting comprising invited talks from researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work. in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), research track, (acceptance rate: 19.4%), Sydney, Australia, pp. All submissions must be anonymous and conform to AAAI standards for double-blind review. Neural Networks, (impact factor: 8.05), accepted. CFP - EasyChair Submission site:https://easychair.org/conferences/?conf=kdf22, Chair:Xiaomo Liu (J.P. Morgan Chase AI Research, xiaomo.liu@jpmchase.com), Zhiqiang Ma (J.P. Morgan Chase AI Research), Armineh Nourbakhsh (J.P. Morgan Chase AI Research), Sameena Shah (J.P. Morgan Chase AI Research), Gerard de Melo (Hasso Plattner Institute), Le Song (Mohamed bin Zayed University of Artificial Intelligence), Workshop URL:https://aaai-kdf.github.io/kdf2022/. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. 105, no. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. Yuanqi du, George Mason University, USA; Jian Pei, Simon Fraser University, Canada; Charu Aggarwal, IBM Research AI, USA; Philip S. Yu, University of Illinois at Chicago, USA; Xuemin Lin, University of New South Wales, Australia; Jiebo Luo, University of Rochester, USA; Lingfei Wu, JD.Com Silicon Valley Research Center, USA; Yinglong Xia, Facebook AI, USA; Jiliang Tang, Michigan State University, USA; Peng Cui, Tsinghua University, China; William L. Hamilton, McGill University, Canada; Thomas Kipf, University of Amsterdam, Netherlands, Workshop URL:https://deep-learning-graphs.bitbucket.io/dlg-aaai22/. This thread already has a best answer. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2015), regular paper (acceptance rate: 8.4%), Atlantic City, NJ, pp. How can we make AI-based systems more ethically aligned? Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. 2022. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. applications: ridesharing, online retail, food delivery, house rental, real estate, and more. 1799-1808. ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. The official dates for submitting an application are detailed below, but see the exact deadline posted on the Description Page for the program of study. For general inquiries about AI2ASE, please write to the lead organizer aryan.deshwal@wsu.edu or jana.doppa@wsu.edu. Full papers are allocated 20m presentation and 10m discussion. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. At least one author of each accepted submission must be present at the workshop. Robust Regression via Online Feature Selection under Adversarial Data Corruption. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery - WikiCFP Deep Graph Transformation for Attributed, Directed, and Signed Networks. In this 2nd instance of GCLR (Graphs and more Complex structures for Learning and Reasoning) workshop, we will focus on various complex structures along with inference and learning algorithms for these structures. We are excited to announce our upcoming workshop at KDD 2022 | Washington DC, U.S.: Decision Intelligence and Analytics for Online Marketplaces - Jobs, Ridesharing, Retail, and Beyond. The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), pp. The cookies is used to store the user consent for the cookies in the category "Necessary". The workshop will be co-located with the KDD 2022 conference at Washington DC Convention Center,Washington D.C., USA onAugust 17th, 2022 at1PM5PM (Eastern Standard Time). Handwritten recognition in business documents. The invited speakers, who are well-recognized experts of the field, will give a 30 minute talk. 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. Share. Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong. Ferdinando Fioretto (Syracuse University), Emma Frejinger (Universit de Montral), Elias B. Khalil (University of Toronto), Pashootan Vaezipoor (University of Toronto). Yuanqi Du*, Shiyu Wang* (co-first author), Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. Attendance is open to all. Conference stats are visualized below for a straightforward comparison. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2013), demo track, pp. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. Published March 4, 2023 4:51 a.m. PST. 689-698, Barcelona, Spain, Dec 2016. "A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. and Simone Stumpf (Univ. Two types of submissions will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references). Innovation, Service, and Rising Star Awards. Jan 13, 2022: Notification. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. A primary reason for this is the inherent long-tailed nature of our world, and the need for algorithms to be trained with large amounts of data that includes as many rare events as possible. The workshop is organized by paper presentations.The length of the workshop: 1-day, 6-8 pages for full papers2-4 for poster/short/position papers, Submission URL:https://easychair.org/conferences/?conf=aaai-2022-workshop, Wenzhong Guo (Fuzhou University, fzugwz@163.com), Chin-Chen Chang (Feng Chia University, alan3c@gmail.com), Chi-Hua Chen (Fuzhou University, chihua0826@gmail.com), Haishuai Wang (Fairfield University & Harvard University, hwang@fairfield.edu), Feng-Jang Hwang (University of Technology Sydney), Cheng Shi (Xian University of Technology), Ching-Chun Chang (National Institute of Informatics, Japan). 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. Workshops are one day unless otherwise noted in the individual descriptions. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. Papers will be peer-reviewed and selected for spotlight and/or poster presentation at the workshop. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. Thirty-First AAAI Conference on Artificial Intelligence, pp. Big Data 2022 December 13-16, 2022. for causal estimation in behavioral science. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Submissions are due by 12 November 2021. We will also have a video component for remote participation. text, images, and videos). DeepGAR: Deep Graph Learning for Analogical Reasoning. The submitted contributions will be peer-reviewed by the Program Committee, and preference will be given to high-quality original and relevant work to the Document Intelligence topics. Sigcomm 2022! - Keynotes and invited talks: Several keynotes and invited talks by leading researchers in the area will be presented. Algorithms for secure and privacy-aware machine learning for AI. Submissions will undergo double blind review. How do metrics of capability and generality, and the trade-offs with performance affect safety? Automatic fact/claim verification has recently become a topic of interest among diverse research communities. Novel AI-based techniques to improve modeling of engineering systems. Registration information will be mailed directly to all invited participants in December. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." Please keep your paper format according to AAAI Formatting Instructions (two-column format). This workshop will follow a dual-track format. Typically, we receive around 40~60 submissions to each previous workshop. Ourprevious workshop at AAAI-21generated significant interest from the community. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP