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The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. Extended abstract up to 2 pages are also welcome. Alan Yuille (Professor, Johns Hopkins University); Hao Su (Assistant Professor, UC San Diego); Rongrong Ji (Professor, Xiamen University); Xianglong Liu (Professor, Beihang University); Jishen Zhao (Associate Professor, UC San Diego); Tom Goldstein (Associate Professor, University of Maryland); Cihang Xie (Assistant Professor, UC Santa Cruz); Yisen Wang (Assistant Professor, Peking University); Bohan Zhuang (Assistant Professor, Monash University), Haotong Qin (Beihang University), Yingwei Li (Johns Hopkins University), Ruihao Gong (SenseTime Research), Xinyun Chen (UC Berkeley), Aishan Liu (Beihang University), Xin Dong (Harvard University), Jindong Guo (University of Munich), Yuhang Li (Yale University), Yiming Li (Tsinghua University), Yifu Ding (Beihang University), Mingyuan Zhang (Nanyang Technological University), Jiakai Wang (Beihang University), Jinyang Guo (University of Sydney), Renshuai Tao (Beihang University), Workshop site:https://practical-dl.github.io/. Some good examples include recommender systems, clustering, graph mining, 29, no. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. SDU will be a one-day workshop. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. Washington DC, USA. However, you may visit "Cookie Settings" to provide a controlled consent. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. 1503-1512, Aug 2015. Like other systems, ML systems must meet quality requirements. All papers must be submitted in PDF format, using the AAAI-22 author kit. Natural language reasoning and inference. 40, no. Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. Connor Coley, Massachusetts Institute of TechnologyProf. We will also have a panel discussion on the current and future of GNNs on both research and industry. ), Learning with algebraic or combinatorial structure, Link analysis/prediction, node classification, graph classification, clustering for complex graph structures, Theoretical analysis of graph algorithms or models, Optimization methods for graphs/manifolds, Probabilistic and graphical models for structured data, Unsupervised graph/manifold embedding methods. Attendance is open to all, subject to any room occupancy constraints. 105, no. All the workshop chairs, most of the Committees, and the authors of the accepted papers will attend the workshop also. Deadline: FSE 2023. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. KDD 2022. Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. Integration of Deep Learning and Relational Learning. 2999-3006, New Orleans, US, Feb 2018. arXiv preprint arXiv:2212.03954 (2022). 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. Hence, AI methods are required to understand and protect the cyber domain. Besides academia, many companies and institutions are researching on topics specific to their particular domains. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. Guangji Bai and Liang Zhao. Sign-regularized multi-task learning. 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/. How can we develop solid technical visions and new paradigms about AI Safety? 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. What techniques and approaches can be used to detect and effectively manage similar scenarios in the future? The cookie is used to store the user consent for the cookies in the category "Performance". 2022. 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. The goal of the inaugural HC-SSL workshop is to highlight and facilitate discussions in this area and expose the attendees to emerging potentials of SSL for human-centric representation learning, and promote responsible AI within the context of SSL. Lyle Unga (University of Pennsylvania, ungar@cis.upenn.edu), Rahul Ladhania* (University of Michigan, ladhania@umich.edu, primary contact), Linnea Gandhi (University of Pennsylvania, lgandhi@wharton.upenn.edu), Michael Sobolev (Cornell Tech, michael.sobolev@cornell.edu), Supplemental workshop site:https://ai4bc.github.io/ai4bc22/, For any questions, please reach out to us at ai4behaviorchange at gmail dot com. The reproducibility papers include a clarification phase: Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. At the AAAI-22 Workshop on Scientific Document Understanding (SDU@AAAI-22), we aim to gather insights into the recent advances and remaining challenges on scientific document understanding. The main interest of the proposed workshop is to look at a new perspective of system engineering where multiple disciplines such as AI and safety engineering are viewed as a larger whole, while considering ethical and legal issues, in order to build trustable intelligent autonomy. 1799-1808. Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2020), (acceptance rate: 20.6%), accepted. 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 . "Online Spatial Event Forecasting in Microblogs. Multilingual document understanding methods and frameworks. Xiaosheng Li, Jessica Lin, and Liang Zhao. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Yuanqi Du*, Shiyu Wang* (co-first author), Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao. Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao. Full papers are allocated 20m presentation and 10m discussion. Balaraman Ravindran (Indian Institute of Technology Madras, India ravi@cse.iitm.ac.in), Balaraman Ravindran (Indian Institute of Technology Madras, India Primary contact (ravi@cse.iitm.ac.in), Kristian Kersting (TU Darmstadt, Germany, kersting@cs.tu-darmstadt.de), Sriraam Natarajan (Univ of Texas Dallas, USA, Sriraam.Natarajan@utdallas.edu), Ginestra Bianconi (Queen Mary University of London, UK, ginestra.bianconi@gmail.com), Philip S. Chodrow (University of California, Los Angeles, USA, phil@math.ucla.edu) Tarun Kumar (Indian Institute of Technology Madras, India, tkumar@cse.iitm.ac.in), Deepak Maurya (Purdue University, India, maurya@cse.iitm.ac.in), Shreya Goyal (Indian Institute of Technology Madras, India, Goyal.3@iitj.ac.in), Workshop URL:https://sites.google.com/view/gclr2022/. Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. November 11-17, 2023. Liang Zhao. This workshop covers (but not limited to) the following topics: , It is a one day workshop and includes: invited talks, interactive discussions, paper presentations, shared task presentations, poster session etc. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Jan 13, 2022: Notification. All papers must be submitted in PDF format, using the AAAI-22 author kit. Are you sure you want to create this branch? [paper] Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. "Spatiotemporal Event Forecasting in Social Media." The mission of the TRASE workshop is to bring together researchers from multiple engineering disciplines, including Computer Science, and Computer, Mechanical, Electrical, and Systems Engineering, who focus their energies in understanding both specific TRASE subproblems, such as perception, planning, and control, as well as robust and reliable end-to-end integration of autonomy. sup-port vector machine (SVM), decision tree, random forest, etc.) The industry session will emphasize practical industrial product developments using GNNs. Hyperparameters such as the number of layers, the number of nodes in each layer, the pattern of connectivity, and the presence and placement of elements such as memory cells, recurrent connections, and convolutional elements are all manually selected. System reports will be presented during poster sessions. Information extraction from text and semi-structured documents. 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. Typically, we receive around 40~60 submissions to each previous workshop. CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. 3, pp. Novel approaches and works in progress are encouraged. We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. We also use third-party cookies that help us analyze and understand how you use this website. Summer. Xiaojie Guo, Lingfei Wu, Liang Zhao. Chen Ling, Carl Yang, and Liang Zhao. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2013), demo track, pp. Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao. However, we will also accept anonymous submissions. 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. DOI:https://doi.org/10.1145/3339823. "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. Jinliang Ding, Liang Zhao, Changxin Liu, and Tianyou Chai. 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. Attendance is virtual and open to all. For instance, advanced driver assistance systems and autonomous cars have been developed based on AI techniques to perform forward collision warning, blind spot monitoring, lane departure warning systems, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. considered to be more practical and more related with real-world applications. At least one author of each accepted submission must be present at the workshop. Consult the list of programs available in the next session. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. We welcome full paper submissions (up to 8 pages, excluding references or supplementary materials). Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. 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. To facilitate KDD related research, we create this repository with: *ICDM has two tracks (regular paper track and short paper track), but the exact statistic is not released, e.g., the split between these two tracks. Integration of declarative and procedural domain knowledge in learning. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Deep Graph Translation. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. Data Mining Conference Acceptance Rate. Aug 14-18. 14, 2022: The information of Keynote Speakers is available at, Apr. 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). While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. This cookie is set by GDPR Cookie Consent plugin. and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. job seekers, employers, recruiters and job agents. Computer Communications, (impact factor: 3.34), Elsevier, vo. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Trade-Off between Privacy-Preserving and Explainable Federated Learning Federated Learning Multi-Party Computation, Federated Learning Homomorphic Encryption, Federated Learning Personalization Techniques, Federated Learning Meets Mean-Field Game Theory, Federated Learning-based Corporate Social Responsibility. 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. Submissions may consist of up to 4 pages plus one additional page solely for references.