Supplemental Workshop site:https://rl4ed.org/aaai2022/index.html. A tag already exists with the provided branch name. 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. Data-driven Humanitarian Mapping and Policymaking Research As a result, many AI/ML systems faced serious performance challenges and failures. The accepted papers will be allocated either a contributed talk or a poster presentation. Submit to:https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, Yinpeng Dong (dyp17@mails.tsinghua.edu.cn, 30 Shuangqing Road, Haidian District, Tsinghua University, Beijing, China, 100084, Phone: +86 18603303421), Yinpeng Dong (Tsinghua University, dyp17@mail.tsinghua.edu.cn), Tianyu Pang (Tsinghua University, pty17@mails.tsinghua.edu.cn), Xiao Yang (Tsinghua University, yangxiao19@mails.tsinghua.edu.cn), Eric Wong (MIT, wongeric@mit.edu), Zico Kolter (CMU, zkolter@cs.cmu.edu), Yuan He (Alibaba, heyuan.hy@alibaba-inc.com ). Please note that foreign students must allow for 3 to 6 months to complete all the formalities required to study in Canada. We will also have a video component for remote participation. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. [Best Poster Runner-Up Award]. chess, checkers). In general, AI techniques are still not widely adopted in the real world. The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, network theory, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in population and personalized health. While classical security vulnerabilities are relevant, ML techniques have additional weaknesses, some already known (e.g., sensitivity to training data manipulation), and some yet to be discovered. Rabat, Morocco . Identification of information-theoretic quantities relevant for causal inference and discovery. This website uses cookies to improve your experience while you navigate through the website. ), Programs also suitable for students not fluent in French, Information and Communication Technologies, Graduate (master's, specialized graduate diploma (DESS), microprogram): February 1, Graduate (master's, specialized graduate diploma (DESS), microprogram): September 1. KDD 2023 August 06-10, 2023. First, large data sources, both conventionally used in social sciences (EHRs, health claims, credit card use, college attendance records) and unconventional (social networks, fitness apps), are now available, and are increasingly used to personalize interventions. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. We invite thought-provoking submissions and talks on a range of topics in these fields. Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. To provide proper alerts and timely response, public health officials and researchers systematically gather news and other reports about suspected disease outbreaks, bioterrorism, and other events of potential international public health concern, from a wide range of formal and informal sources. Yuyang Gao and Liang Zhao. Invited speakers, panels, poster sessions, and presentations. By registering, you agree to receive emails from UdeM. Pakdd 2022 San Francisco, USA . 1-11, Feb 2016. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. 9, no. Submitting a short or long paper to VDS will give authors a chance to present at VDS events at both ACM KDD 2022(hybrid) and IEEE VIS 2022( hybrid). Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. Shiyu Wang, Xiaojie Guo, Liang Zhao. We invite novel contributions following the AAAI-22 formatting guidelines, camera-ready style. Liang Zhao. Can AI achieve the same goal without much low-level supervision? 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. 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. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. "Online Spatial Event Forecasting in Microblogs. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to their complex formats and structures, internal and external cross references deployed, quality of scans and OCR performed, and many domains of knowledge involved. Are you sure you want to create this branch? Submissions will be collected via the OpenReview platform; URL forthcoming on the Workshop website. 2999-3006, New Orleans, US, Feb 2018. Inspired by the question, there is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks. Deadline in . Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. DeepGAR: Deep Graph Learning for Analogical Reasoning. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs To push forward the research on acronym understanding in scientific text, we propose two shared tasks on acronym extraction (i.e., recognizing acronyms and phrases in text) and disambiguation (i.e., finding the correct expansion for an ambiguous acronym). This workshop aims to bring together researchers and practitioners working on different facets of these problems, from diverse backgrounds to share challenges, new directions, recent research results, and lessons from applications. Saliency-regularized Deep Multi-task Learning. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. ), The workshop will be organized as half-day event with 2 invited speakers, follow by presentation from accepted papers (both ordinary papers, and shared task paper). Algorithms for secure and privacy-aware machine learning for AI. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. Introduction: SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining.SIGKDD will encourage: basic research in KDD (through annual research conferences, newsletter and other related activities . considered to be more practical and more related with real-world applications. 7, no. With this in mind, we welcome relevant contributions on the following (and related) topic areas: The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. 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. These complex demands have brought profound implications and an explosion of interest for research into the topic of this workshop, namely building practical AI with efficient and robust deep learning models. 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. It is a forum to bring attention towards collecting, measuring, managing, mining, and understanding multimodal disinformation, misinformation, and malinformation data from social media. We will end the workshop with a panel discussion by top researchers in the field. Such systems are better modeled by complex graph structures such as edge and vertex labeled graphs (e.g., knowledge graphs), attributed graphs, multilayer graphs, hypergraphs, temporal/dynamic graphs, etc. AI for infrastructure management and congestion. Accepted submissions will be notified latest by August 7th, 2022. Combating fake news is one of the burning societal crises. Liming Zhang, Dieter Pfoser, Liang Zhao. Chen Ling, Carl Yang, and Liang Zhao. One recommended setting for Latex file is:\documentclass[sigconf, review]{acmart}. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. By entering your email, you consent to receive communications from UdeM. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. In decision-making domains as wide-ranging as medication adherence, vaccination uptakes, college enrollment, retirement savings, and energy consumption, behavioral interventions have been shown to encourage people towards making better choices. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. 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. RLG is a full-day workshop. A new and comprehensive view of AI Safety must cover a wide range of AI paradigms, including systems that are application-specific as well as those that are more general, considering potentially unanticipated risks. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. It will start with a 60-minute mini-tutorial covering the basics of RL in games, and will include 2-4 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. Some examples of the success of information theory in causal inference are: the use of directed information, minimum entropy couplings and common entropy for bivariate causal discovery; the use of the information bottleneck principle with applications in the generalization of machine learning models; analyzing causal structures of deep neural networks with information theory; among others. How to do good research, Get it published in SIGKDD and get it cited! Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. It is difficult to expose false claims before they create a lot of damage. Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. The 2022 ACM SIGMOD/PODS Conference: Philidelphia, Pennsylvania, USA 2022. 1799-1808. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. BERT and GPT in NLP and SimCLR and BYOL in CV are famous examples in this direction.