Integration of probabilistic inference in training deep models. The post-lunch session will feature a second keynote talk, two invited talks. 639-648, Nov 2015. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu. 1799-1808. The role of adjacent fields of study (e.g, computational social science) in mitigating issues of bias and trust in AI. Submissions will go through a double-blind review process. KDD 2022 Submissions are limited to a total of 5 pages for initial submission (up to 6 pages for final camera-ready submission), excluding references or supplementary materials, and authors should only rely on the supplementary material to include minor details that do not fit in the 5 pages. IEEE Computer (impact factor: 3.564), vo. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Accepted papers will not be archived but will be hosted on the workshop website. All the submissions must follow the AAAI-22 formatting guidelines, camera-ready style. The trained models are intended to assign scores to novel utterances, assessing whether they are possible or likely utterances in the training language. GeoInformatica (impact factor: 2.392), 24, 443475 (2020). In addition to that, we propose a shared task on one of the challenging SDU tasks, i.e., acronym extraction and disambiguation in multiple languages text. Although machine learning (ML) approaches have demonstrated impressive performance on various applications and made significant progress for AI, the potential vulnerabilities of ML models to malicious attacks (e.g., adversarial/poisoning attacks) have raised severe concerns in safety-critical applications. The submissions must follow the formatting guidelines for AAAI-22. Combating fake news is one of the burning societal crises. 4. Analytical cookies are used to understand how visitors interact with the website. Three specific roles are part of this format: session chairs, presenters and paper discussants. 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/. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. AAAI is pleased to present the AAAI-22 Workshop Program. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 10, pp. Lastly, learning joint modalities is of interest to both Natural Language Processing (NLP) and Computer Vision (CV) forums. Zheng Zhang and Liang Zhao. RLG is a full-day workshop. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena et al. Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. The workshop plans to invite about 50-75 participants. Online . About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP In addition, broad deployment of ML software in networked systems inevitably exposes ML software to attacks. Xuchao Zhang, Liang Zhao, Zhiqian Chen, and Chang-Tien Lu. I recommend highly motivated students to reach out to me way earlier than the admission deadline, and figure out a research project project with me, with the goal of a publication. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. We are in a conversation with some publishers once they confirm, we will announce accordingly. 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. However, the use of rich data sets also raises significant privacy concerns: They often reveal personal sensitive information that can be exploited, without the knowledge and/or consent of the involved individuals, for various purposes including monitoring, discrimination, and illegal activities. Different from machine learning, Knowledge Discovery and Data Mining (KDD) is considered to be more practical and more related with real-world applications. Multilingual document understanding methods and frameworks. Fine tuning a neural network is very time consuming and far from optimal. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. Instead of grading each piece of work individually, which can take up a bulk of extra time, intelligent scoring tools allow teachers the ability to have their students work automatically graded. 105, no. Topics include but not limited to: Large-scale and novel targeting technologies, Fraud, fairness, explainability and privacy, Intelligent assistants in job hunting and hiring automation, Large-scale and high performing data infrastructure, data analysis and tooling, Economics and causal inference in online jobs marketplace, Large-scale analytics of user behaviors in online jobs marketplace. Ferdinando Fioretto (Syracuse University), Aleksandra Korolova (University of Southern California), Pascal Van Hentenryck (Georgia Institute of Technology), Supplemental Workshop site:https://aaai-ppai22.github.io/. 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. Finally, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. The trustworthy issues of clinical AI methods were not discussed. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. Submit to:https://cmt3.research.microsoft.com/AIBSD2022, Kuan-Chuan Peng (Mitsubishi Electric Research Laboratories, kp388@cornell.edu), Ziyan Wu (UII America, Inc., wuzy.buaa@gmail.com), Supplemental workshop site:https://aibsdworkshop.github.io/2022/index.html. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. [materials][data]. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. The workshop combines several disciplines, including ML, software engineering (with emphasis on quality), security, and game theory. RAISAs systems-level perspective will be emphasized via three main thrusts: AI threat modeling, AI system robustness, explainable AI, system lifecycle attacks, system verification and validation, robustness benchmarks and standards, robustness to black-box and white-box adversarial attacks, defenses against training, operational and inversion attacks, AI system confidentiality, integrity, and availability, AI system fairness and bias. Submit to:https://easychair.org/conferences/?conf=imlaaai22, Elizabeth DalyAddress: IBM Dublin Technology Campus, Dublin 15, IrelandEmail: elizabeth.daly@ie.ibm.com, Elizabeth Daly, IBM Research, Ireland (elizabeth.daly@ie.ibm.com), znur Alkan, IBM Research, Ireland (oalkan2@ie.ibm.com), Stefano Teso, University of Trento, Italy (stefano.teso@unitn.it), Wolfgang Stammer, TU Darmstadt, Germany (wolfgang.stammer@cs.tu-darmstadt.de), Workshop URL:https://sites.google.com/view/aaai22-imlw. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). At least one author of each accepted submission must present the paper at the workshop. convolutional neural network (CNN), recurrent neural network (RNN), etc.) DOI:https://doi.org/10.1145/3339823. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. Integrated syntax and semantic approaches for document understanding. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. Interpreting and Evaluating Neural Network Robustness. Accepted papers are likely to be archived. Gabriel Pedroza (CEA LIST), Jos Hernndez-Orallo (Universitat Politcnica de Valncia, Spain), Xin Cynthia Chen (University of Hong Kong, China), Xiaowei Huang (University of Liverpool, UK), Huascar Espinoza (KDT JU, Belgium), Mauricio Castillo-Effen (Lockheed Martin, USA), Sen higeartaigh (University of Cambridge, UK), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK), Supplemental workshop site:http://safeaiw.org/. 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. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers "Bridging the gap between spatial and spectral domains: A survey on graph neural networks." Panel discussion: Interactive Q&A session with a panel of leading researchers. 1-39, November 2016. Note: Mandatory abstract deadline on May 16, 2022 Deadline: ISMIR 2022 ISMIR '22 ​ . 12 (2014): 90-94. AAAI-22 Workshop Program - AAAI 5, pp. "GA-based principal component selection for production performance estimation in mineral processing." Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Liming Zhang, Liang Zhao, Dieter Pfoser, Shan Qin and Chen Ling. 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. 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. KDD 2022. For each accepted paper, at least one author must attend the workshop and present the paper. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. [Call for papers] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, CFP: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems Workshop, Second Workshop on Marketplace Innovation. The workshop is a full day. "Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning." This cookie is set by GDPR Cookie Consent plugin. We hope this will help bring the communities of data mining and visualization more closely connected. 8 pages), short (max. Property Controllable Variational Autoencoder via Invertible Mutual Dependence. 2020. Online marketplace is a digital platform that connects buyers (demand) and sellers (supply) and provides exposure opportunities that individual participants would not otherwise have access to. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. All submissions must be original contributions and will be peer reviewed, single-blinded. Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. "Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling." fact-checking. Please use ACM Conference templates (two column format). Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Feature Constrained Multi-Task Learnings for Event Forecasting in Social Media." Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. Virtual . Novel AI-based techniques to improve modeling of engineering systems. Submissions including full papers (6-8 pages) and short papers (2-4 pages) should be anonymized and follow the AAAI-22 Formatting Instructions (two-column format) at https://www.aaai.org/Publications/Templates/AuthorKit22.zip. Some will be selected for spotlight talks, and some for the poster session. Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao. 29, no. We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. 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. We invite submissions of technical papers up to 7 pages excluding references and appendices. We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. The workshop welcomes the submission of work on, but not limited to, the following research directions. San Francisco, USA . The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. Submissions that do not meet the formatting requirements will be rejected without review. Integration of AI-based approaches with engineering prototyping and manufacturing. This workshop aims to provide a premier interdisciplinary forum for researchers in different communities to discuss the most recent trends, innovations, applications, and challenges of optimal transport and structured data modeling. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. 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. What safety engineering considerations are required to develop safe human-machine interaction? Submissions must be formatted in the AAAI submission format (https://www.aaai.org/Publications/Templates/AuthorKit22.zip) All submissions should be done electronically via EasyChair. We will include a panel discussion to close the workshop, in which the audience can ask follow up questions and to identify the key AI challenges to push the frontiers in Chemistry. Brave new ideas to learn AI models under bias and scarcity. Yuyang Gao and Liang Zhao. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. What techniques and approaches can be used to detect and effectively manage similar scenarios in the future? 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. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. Chen Ling, Hengning Cao, Liang Zhao. 963-971, Apr-May 2015. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. Oral presentations: 10 minute presentation for oral papers. Some existing research also presents that there is a trade-off between the robustness and accuracy of deep learning models. Neural Networks, (impact factor: 8.05), accepted. Previously published work (or under-review) is acceptable. Liang Zhao's Homepage - Emory University 2022. This manual extraction process is usually inefficient, error-prone, and inconsistent. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. This date takes priority over those shown below and could be extended for some programs. 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. At least one author of each accepted submission must be present at the workshop. IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.255), accepted. 47, no. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. Document structure and layout learning and recognition. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. Jan 13, 2022: Notification. Submission site:https://cmt3.research.microsoft.com/DSTC102022, Koichiro Yoshino,Address: 2-2-2, Seika, Sohraku, Kyoto, 6190288, JapanAffiliation: RIKENPhone: +81-774-95-1360Email: koichiro.yoshino@riken.jp, Yun-Nung (Vivian) ChenAddress: No. The goal of this workshop is to bring together the causal inference, artificial intelligence, and behavior science communities, gathering insights from each of these fields to facilitate collaboration and adaptation of theoretical and domain-specific knowledge amongst them. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. This workshop brings together researchers from diverse backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. Yuyang Gao, Giorgio Ascoli, Liang Zhao. 4 pages), and position (max. 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. This workshop aims to discuss important topics about adversarial ML to deepen our understanding of ML models in adversarial environments and build reliable ML systems in the real world. Handwritten recognition in business documents. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. California, United Stes. 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. Conference Management Toolkit - Login 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. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. a tutorial on how to structure data mining papers by Prof. Xindong Wu (University of Louisiana at Lafayette). STGEN: Deep Continuous-time Spatiotemporal Graph Generation. information bottleneck principle). Recent years have witnessed growing interest in human and AI systems with the increasing realisation that machines can indeed meet objectives specified but the real question becomes have they been given the right objectives. Submitted technical papers can be up to 4 pages long (excluding references and appendices). The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. 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/.
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