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"Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data" The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) , (acceptance rate: 21%), pp. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. [code] Furthermore, leveraging AI to connect disparate social networks amongst teachers \\cite{karimi2020towards}, we may be able to provide greater resources for their planning, which have been shown to significantly affect students achievement. 1145/3394486.3403221. All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. Because of the time needed to complete the formalities for entering Canada and Quebec, the admission period for international applicants ends several weeks before the session begins. There is a need for the research community to develop novel solutions for these practical issues. 2022. Attendance is open to all registered participants. 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. How do metrics of capability and generality, and the trade-offs with performance affect safety? 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. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Send this CFP to us by mail: cfp@ourglocal.org. This proposed workshop will build upon successes and learnings from last years successful AI for Behavior Change workshop, and will focus on on advances in AI and ML that aim to (1) design and target optimal interventions; (2) explore bias and equity in the context of decision-making and (3) exploit datasets in domains spanning mobile health, social media use, electronic health records, college attendance records, fitness apps, etc. Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Welcome to PAKDD2022. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. With the rapid development of advanced techniques on the intersection between information theory and machine learning, such as neural network-based or matrix-based mutual information estimator, tighter generalization bounds by information theory, deep generative models and causal representation learning, information theoretic methods can provide new perspectives and methods to deep learning on the central issues of generalization, robustness, explainability, and offer new solutions to different deep learning related AI applications.This workshop aims to bring together both academic researchers and industrial practitioners to share visions on the intersection between information theory and deep learning, and their practical usages in different AI applications. The first AAAI Workshop on AI for Design and Manufacturing, ADAM, aims to bring together researchers from core AI/ML, design, manufacturing, scientific computing, and geometric modeling. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. for causal estimation in behavioral science. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. Submission Guidelines In the financial services industry particularly, a large amount of financial analysts work requires knowledge discovery and extraction from different data sources, such as SEC filings and industry reports, etc., before they can conduct any analysis. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Junxiang Wang and Liang Zhao. In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. Roco Mercado, Massachusetts Institute of Technology. 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. 10, pp. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. The goal of this workshop is to bring together the optimal transport, artificial intelligence, and structured data modeling, gathering insights from each of these fields to facilitate collaboration and interactions. Washington DC, USA. We expect 50-65 people in the workshop. The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering Safety as a design principle rather than an option. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. 689-698, Barcelona, Spain, Dec 2016. GeoInformatica (impact factor: 2.392), 24, 443475 (2020). Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. arXiv preprint arXiv:2207.09542 (2022). KDD 2022. Attendance is open to all; at least one author of each accepted submission must be physically/virtually present at the workshop. ; (2) Deep Learning (DL) approaches that can exploit large datasets, particularly Graph Neural Networks (GNNs) and Deep Reinforcement Learning (DRL); (3) End-to-end learning methodologies that mend the gap between ML model training and downstream optimization problems that use ML predictions as inputs; (4) Datasets and benchmark libraries that enable ML approaches for a particular OR application or challenging combinatorial problems. 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. A tag already exists with the provided branch name. How can we engineer trustable AI software architectures? Objectives of ADAM include outlining the main research challenges in this area, cross-pollinating collaborations between AI researchers and domain experts in engineering design and manufacturing, and sketching open problems of common interest. Data-driven Humanitarian Mapping and Policymaking Research The goal of this workshop is to offer an opportunity to appreciate the diversity in applications, to draw connections to inform decision optimization across different industries, and to discover new problems that are fundamental to marketplaces of different domains. This cookie is set by GDPR Cookie Consent plugin. Deep Graph Transformation for Attributed, Directed, and Signed Networks. There will be about 60~85 people to participate, including the program committee, invited speakers, panelists, authors of accepted papers, winners of the competition and other interested people. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. We are in a conversation with some publishers once they confirm, we will announce accordingly. Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Paper Submission:November 12, 2021, 11:59 pm (anywhere on earth) Author Notification: December 3, 2021Full conference:February 22 March 1, 2022Workshop:February 28 March 1, 2022. For each accepted paper, at least one author must attend the workshop and present the paper. In spite of substantial research focusing on discovery from news, web, and social media data, its applications to datasets in professional settings such as financial filings and government reports, still present huge challenges. Papers will be peer-reviewed and selected for oral and/or poster presentations at the workshop. "A Topic-focused Trust Model for Twitter." Through invited talks and presentations by the participants, this workshop will bring together current advances in Network Science as well as Machine Learning, and set the stage for continuing interdisciplinary research discussions. Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. 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. We will receive the paper on the CMT system. Despite rapid recent progress, it has proven to be challenging for Artificial Intelligence (AI) algorithms to be integrated into real-world applications such as autonomous vehicles, industrial robotics, and healthcare. Chen Ling, Carl Yang, and Liang Zhao. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. Xuchao Zhang, Liang Zhao, Zhiqian Chen, and Chang-Tien Lu. How to do good research, Get it published in SIGKDD and get it cited! 1059-1072, May 1 2017. Microsoft Research CMT: https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/ or https://aka.ms/di-2022, Workshop registration will be processed with the main KDD 2022 conference: https://kdd.org/kdd2022/, Standard ACM Conference Proceedings Template, Conflict of Interest Policy for ACM Publications, https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/, Second Document Intelligence Workshop @ KDD 2021, First Document Intelligence Workshop @ NeurIPS 2019, Hamid Motahari, Nigel Duffy, Paul Bennett, and Tania Bedrax-Weiss. 963-971, Apr-May 2015. We expect 50~75 participants and potentially more according to our past experiences. Accepted submissions will have the option of being posted online on the workshop website. The 39th IEEE International Conference on Data Engineering (ICDE 2023), accepted. Recently self-supervised approaches for speech/audio processing are also gaining attention. RecSys 2022 - Important Dates - RecSys The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. Negar Etemadyrad, Qingzhe Li, Liang Zhao. ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. 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/. Attendance is open to all prior registration to the workshop/conference. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. The Conference. 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. Integration of Deep learning and Constraint programming. ML4OR will place particular emphasis on: (1) ML methodologies for enhancing traditional OR algorithms for integer programming, combinatorial optimization, stochastic programming, multi-objective optimization, location and routing problems, etc. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. KDD 2022 is a dual-track conference that provides distinct programming in research and applied data science. Integration of declarative and procedural domain knowledge in learning. 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. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. The AAAI Workshop on Machine Learning for Operations Research (ML4OR) builds on the momentum that has been directed over the past 5 years, in both the OR and ML communities, towards establishing modern ML methods as a first-class citizen at all levels of the OR toolkit. We allow both short (2-4 pages) and long papers (6-8 pages) papers. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. Functional Connectivity Prediction with Deep Learning for Graph Transformation. You can optionally export all deadlines to Google Calendar or .ics . Analytical cookies are used to understand how visitors interact with the website. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. 2022. Share. The submission website ishttps://cmt3.research.microsoft.com/TAIH2022. Recent years have witnessed growing efforts from the AI research community devoted to advancing our education and promising results have been obtained in solving various critical problems in education. Submissions will be accepted via the Easychair submission website. 1466-1469. Yet, most of these efforts highlighted the challenges of model governance and compliance processes. 1, Sec. Oral presentations: 10 minute presentation for oral papers. Sigcomm 2022! - Important Dates. simulation, evaluation and experimentation. These submissions would benefit from additional exposure and discussion that can shape a better future publication. Neurocomputing (Impact Factor: 5.719), accepted. Notable examples include the information bottleneck (IB) approach on the explanation of the generalization behavior of DNNs and the information maximization principle in visual representation learning. Additionally, adversaries continue to develop new attacks. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, Bill Wuest, Amarda Shehu, Liang Zhao. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. 2022. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. After seventh highly successful events, the eighth Symposium on Visualization in Data Science (VDS) will be held at a new venue, ACM KDD 2022 as well as IEEE VIS 2022. Two types of submissions will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references). Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. Note: The workshop is a collaboration between NASSMA organisation, Deepmind and UM6P. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. This topic also encompasses techniques that augment or alter the network as the network is trained. Graph Neural Networks: Foundations, Frontiers, and Applications. The accepted papers are allowed to be submitted to other conference venues. Submissions should follow the AAAI-2022https://aaai.org/Conferences/AAAI-22/aaai22call/. [Best Paper Candidate]. December, 12-16, 2022. This website uses cookies to improve your experience while you navigate through the website. 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/. The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. The post-lunch session will feature one long talk, two short talks, and a poster session. Novel ML-accelerated optimization for conceptual/detailed system design. Typically, we receive around 40~60 submissions to each previous workshop. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Datasets and Benchmarks Track, accepted. Deep Generative Model for Periodic Graphs. Saliency-regularized Deep Multi-task Learning. By entering your email, you consent to receive communications from UdeM. 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. 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 . The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. The submissions must follow the formatting guidelines for AAAI-22. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. fact-checking. Winter. Information-theoretic approaches provide a novel set of tools that can expand the scope of classical approaches to causal inference and discovery problems in a variety of applications. Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao. arXiv preprint arXiv:2002.11867 (2021), Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Naftali Cohen (JP Morgan Chase & New York University), Eren Kurshan (Bank of America & Columbia University), Senthil Kumar (Capital One), Susan Tibbs (Financial Institutions Regulatory Authority, FINRA), Tucker Balch (JP Morgan Chase & Georgia Institute of Technology), and Kevin Compher (Securities Exchange Commission). Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022) (Acceptance Rate: 23.8%), full paper track, to appear, 2022.

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