Invited speakers, panels, poster sessions, and presentations. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. The last few years have seen the rapid development of mathematical methods for modeling structured data coming from biology, chemistry, network science, natural language processing, and computer vision applications. Topics of interest in the biomedical space include: Topics of general interest to cyber-security include: Submission site:https://easychair.org/conferences/?conf=aics22, Tamara Broderick (MIT CSAIL, tamarab@mit.edu), James Holt (Laboratory for Physical Sciences, USA, holt@lps.umd.edu), Edward Raff (Booz Allen Hamilton, USA, Raff_Edward@bah.com), Ahmad Ridley (National Security Agency), Dennis Ross (MIT Lincoln Laboratory, USA, dennis.ross@ll.mit.edu), Arunesh Sinha (Singapore Management University, Singapore, aruneshs@smu.edu.sg), Diane Staheli (MIT Lincoln Laboratory, USA, diane.staheli@ll.mit.edu), William W. Streilein (MIT Lincoln Laboratory, USA, wws@ll.mit.edu), Milind Tambe (Harvard University, USA, milind_tambe@harvard.edu), Yevgeniy Vorobeychik (Washington University in Saint Louis, USA, eug.vorobey@gmail.com) Allan Wollaber (MIT Lincoln Laboratory, USA, Allan.Wollaber@ll.mit.edu), Supplemental workshop site:http://aics.site/. Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. iDetective: An Intelligent System for Automatic Identification of Key Actors in Online Hack Forums. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. 2, no. 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. Both the research papers track and the applied data science papers track will take . 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/. Check the CFP for details Deadline: ICDM 2020 . We invite submission of papers describing innovative research and applications around the following topics. robust and interpretable natural language processing for healthcare. Submission Guidelines VDS@KDD will be hybrid and VDS@VIS will be hybrid (both virtual and in-person) in 2022. We expect 60-70 participants. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. Optimal transport-based machine learning paradigms; Trustworthy machine learning from the perspective of optimal transport. Accepted papers are likely to be archived. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. Attendance is open to all registered participants. What approaches emerge in building fundamentally robust and adaptive AI/ML systems? Motif-guided Heterogeneous Graph Deep Generation. Xiaojie Guo, Lingfei Wu, Liang Zhao. Submissions should follow the AAAI 2022 formatting guidelines and the AAAI 2022 standards for double-blind review including anonymous submission. 5, pp. In general, AI techniques are still not widely adopted in the real world. Algorithms for secure and privacy-aware machine learning for AI. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). You signed in with another tab or window. Novel AI-enabled generative models for system design and manufacturing. 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. "Spatiotemporal Event Forecasting in Social Media." Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. At least one author of each accepted submission must present the paper at the workshop. Chen Ling, Carl Yang, Liang Zhao. For research track papers and applied data science track papers. arXiv preprint arXiv:2212.03954 (2022). Springer, Singapore. Rabat, Morocco . These lead to security considerations: (1) securing personal health information, genetic material, intellectual property, and digital health records, (2) balancing privacy rights and data ownership concerns in solutions using network and mobile data, (3) defending AI for biology use cases to deter automated attacks at scale. RecSys 2022 - Important Dates - RecSys Each paper will be reviewed by three reviewers in double-blind. Big Data 2022 December 13-16, 2022. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs There is a need for the research community to develop novel solutions for these practical issues. 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. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities. Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Attendance is virtual and open to all. This topic encompasses forms of Neural Architecture Search (NAS) in which the performance properties of each architecture, after some training, are used to guide the selection of the next architecture to be tried. To adapt SSL frameworks to build effective human-centric deep learning solutions for human-centric data, a number of key challenges and opportunities need to be explored. The main goal of the dialog system technology challenge (DSTC) workshop is to share the result of five main tracks of the tenth dialog system technology challenge (DSTC10). Submission Site:https://cmt3.research.microsoft.com/SAS2022, Abdelrahman Mohamed (Facebook, abdo@fb.com), Hung-yi Lee (NTU, hungyilee@ntu.edu.tw), Shinji Watanabe (CMU, shinjiw@ieee.org), Tara Sainath (Google, tsainath@google.com), Karen Livescu (TTIC, klivescu@ttic.edu), Shang-Wen Li (Facebook, shangwel@fb.com), Ewan Dunbar (University of Toronto, ewan.dunbar@utoronto.ca) Emmanuel Dupoux (EHESS/Facebook, dpx@fb.com), Workshop URL:https://aaai-sas-2022.github.io/. All these changes require novel solutions, and the AI community is well-positioned to provide both theoretical- and application-based methods and frameworks. At least one author of each accepted submission must register and present their paper at the workshop. Deep Graph Transformation for Attributed, Directed, and Signed Networks. Attendance is open to all registered participants. 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. IEEE Computer (impact factor: 3.564), vo. Paper Submission Deadline: May 26, 2022 Author Notification: June 20, 2022 Camera Ready: July 9, 2022 Workshop: August . Submissions will undergo double blind review. In other words, many existing FL solutions are still exposed to various security and privacy threats. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Conference Series : Knowledge Discovery and Data Mining Link: https://kdd.org/kdd2022/ Call For Papers [Empty] Related Resources KDD 2023 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. 11, 2022: We have posted the list of accepted Workshops at, Apr. Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. 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. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. This cookie is set by GDPR Cookie Consent plugin. This workshop will encourage researchers from interdisciplinary domains working on multi-modality and/or fact-checking to come together and work on multimodal (images, memes, videos etc.) IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. However, workshop organizers may set up any archived publication mechanism that best suits their workshop. Submissions that are already accepted or under review for another conference or already accepted for a journal are not accepted. "Automatic Targeted-Domain Spatiotemporal Event Detection in Twitter." GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. ACM Transactions on Spatial Algorithms and Systems (TSAS), accepted. We hope to build upon that success. Liming Zhang, Liang Zhao, Dieter Pfoser, Shan Qin and Chen Ling. However, you may visit "Cookie Settings" to provide a controlled consent. We invite the submission of papers with 4-6 pages. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. The biomedical space has seen a flurry of activity recently, and cyber criminals have amplified their efforts with health-related phishing attacks, spreading misinformation, and intruding into health infrastructure. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. Continuous refinement of AI models using active/online learning. In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Some specific topics in the context of scientific discovery and engineering design include (but not limited to): This will be a one day workshop with a number of paper presentations and poster spotlights, a poster session, several invited talks, and a panel discussion. ADMM for Efficient Deep Learning with Global Convergence. 20, 2022: We have announced Call for Nominations: , Jan. 25, 2022: Sponsorship Opportunities is available at, Jan. 6, 2022: Call for KDD Cup Proposals is available at, Dec. 26, 2021: Call for Workshop Proposals is available at, Dec. 26, 2021: Call for Tutorials is available at, Nov. 24, 2021: Those who are interested in serving as a PC, please feel free to fill in this, Nov. 12, 2021: Call for Research Track Papers is available at, Nov. 12, 2021: Call for Applied Data Science Track Papers is available at. Computer Science and Engineering, INESC-ID, IST Ulisboa, Lisbon, Portugal currently at Sorbonne University, Paris, France silvia.tulli@gaips.inesc-id.pt), Prashan Madumal (Science and Information Systems, University of Melbourne, Parkville, Australia pmathugama@student.unimelb.edu.au), Mark T. Keane (School of Computer Science, University College Dublin, Dublin, Ireland mark.keane@ucd.ie), David W. Aha (Navy Center for Applied Research in AI, Naval Research Laboratory, Washington, DC, USA david.aha@nrl.navy.mil), Adam Johns (Drexel University, Philadelphia, PA USA), Tathagata Chakraborti (IBM Research AI, Cambridge, MA USA), Kim Baraka (VU University Amsterdam, Netherlands), Isaac Lage (Harvard University, Cambridge, MA USA), David Martens (University of Antwerp, Belgium), Mohamed Chetouani (Sorbonne Universit, Paris, France), Peter Flach (University of Bristol, United Kingdom), Kacper Sokol (University of Bristol, United Kingdom), Ofra Amir (Technion, Haifa, Israel), Dimitrios Letsios (Kings College London, London, United Kingdom), Supplemental workshop site:https://sites.google.com/view/eaai-ws-2022/topic. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. Yuyang Gao, Giorgio Ascoli, Liang Zhao. A striking feature of much of this recent work is the application of new theoretical and computational techniques for comparing probability distributions defined on spaces with complex structures, such as graphs, Riemannian manifolds and more general metric spaces. CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. Ranking, acceptance rate, deadline, and publication tips. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. Time Series Clustering in Linear Time Complexity. Fine tuning a neural network is very time consuming and far from optimal. Knowledge and Information Systems (KAIS), (impact factor: 2.936), accepted. Typically, we receive around 40~60 submissions to each previous workshop. Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, et al.. "'Beating the news' with EMBERS:forecasting civil unrest using open source indicators." You can optionally export all deadlines to Google Calendar or .ics . This workshop aims to bring together FL researchers and practitioners to address the additional security and privacy threats and challenges in FL to make its mass adoption and widespread acceptance in the community. : FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. Universit de MontralOffice of Admissions and RecruitmentC. All extended abstracts and full papers are to be presented at the poster sessions. It provides an international forum . Novel mechanisms for eliciting and consuming user feedback, recommender, structured and generative models, concept acquisition, data processing, optimization; HCI and visualization challenges; Analysis of human factors/cognition and user modelling; Design, testing and assessment of IML systems; Studies on risks of interaction mechanisms, e.g., information leakage and bias; Business use cases and applications. Papers will be peer-reviewed and selected for spotlight and/or poster presentation at the workshop. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. We will accept the extended abstracts of the relevant and recently published work too. The academic session will focus on most recent research developments on GNNs in various application domains. 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/. 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. This manual extraction process is usually inefficient, error-prone, and inconsistent. Some will be selected for spotlight talks, and some for the poster session. We invite researchers to submit either full-length research papers (8 pages) or extended abstracts (2 pages) describing novel contributions and preliminary results, respectively, to the topics above; a more extensive list of topics is available on the Workshop website. Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia and Charu Aggarwal, "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding", 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. Submissions should follow the AAAI-2022https://aaai.org/Conferences/AAAI-22/aaai22call/. PLOS ONE (impact factor: 3.534), vo. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). This date takes priority over those shown below and could be extended for some programs. This AAAI-22 workshop on AI for Decision Optimization (AI4DO) will explore how AI can be used to significantly simplify the creation of efficient production level optimization models, thereby enabling their much wider application and resulting business values.The desired outcome of this workshop is to drive forward research and seed collaborations in this area by bringing together machine learning and decision-making from the lens of both dynamic and static optimization models. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. Yuyang Gao, Giorgio Ascoli, Liang Zhao. Xiaosheng Li, Jessica Lin, and Liang Zhao. "Online Spatial Event Forecasting in Microblogs. 2022. 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. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. 27, 2022: Please check out Speical Days at, Apr. Our preliminary plan for the schedule is as following , DEFACTIFY@AAAI-22 Program [tentative]9:00AM-9:15AMInaugurationA brief summary of the shared tasks number of participants, best results, Session 1 multimodal fact checkingWorkshop papers 9:30AM 10:30AM, 11:00AM 12:00pmInvited talk 1 Prof. Rada Mihalcea, University of Michigan, Session 2 Best 4/5 papers from FACTIFY & MEMOTION shared taskWorkshop papers 1:00PM 2:00PM, 2:00PM 3:30PMInvited talk 2 Prof. LOUIS-PHILIPPE MORENCY, CMU, Session 2 multimodal hate speechWorkshop papers 4:00PM 5:00PM. Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. 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. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). "EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System." 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. Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2020), (acceptance rate: 20.6%), accepted. Our intent is to facilitate new AI/ML advances for core engineering design, simulation, and manufacturing. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization. We expect 50-65 people in the workshop. IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.255), accepted. Undergraduate (bachelor's, certificate, etc. Multilingual document understanding methods and frameworks. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. Deadline in your local America/New_York timezone: Deadline in timezone from conference website: DASFAA 2022. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. Brave new ideas to learn AI models under bias and scarcity. Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. Data Mining Conference Acceptance Rate. Submission site:https://openreview.net/group?id=AAAI.org/2022/Workshop/ADAM, Aarti Singh (Carnegie Mellon University), Baskar Ganapathysubramanian (ISU), Chinmay Hegde (New York University; contact: chinmay.h@nyu.edu), Mark Fuge (University of Maryland), Olga Wodo (University of Buffalo), Payel Das (IBM), Soumalya Sarkar (Raytheon), Workshop website:https://adam-aaai2022.github.io/.
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