The AAAI-22 workshop program includes 39 workshops covering a wide range of topics in artificial intelligence. May 8, 2022: Student Travel Awards announcement is, Apr. The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. While progress has been impressive, we believe we have just scratched the surface of what is capable, and much work remains to be done in order to truly understand the algorithms and learning processes within these environments. The study of complex graphs is a highly interdisciplinary field that aims to study complex systems by using mathematical models, physical laws, inference and learning algorithms, etc. Spatiotemporal Innovation Center Team. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! 3, pp.
Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). Submissions will go through a double-blind review process. 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. We will use double-blind reviewing. 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. Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. Theoretical understanding of adversarial ML and its connection to other areas. ML-guided rare event modeling and system uncertainty quantification, Development of software, libraries, or benchmark datasets, and.
CS Conference Deadlines - Yanlin "A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators. 5 (2014): 1447-1459. "The EMBERS architecture for streaming predictive analytics." "Multi-Task Learning for Spatio-Temporal Event Forecasting." We will receive the paper on the CMT system. While we are planning an in-person workshop to be held at AAAI-22, we aim to accommodate attendees who may not be able to travel to Vancouver by allowing participation via live virtual invited talks and virtual poster sessions. All submissions must be original contributions and will be peer reviewed, single-blinded. Manuscripts must be submitted as PDF files viaEasyChair online submission system. We are interested in a broad range of topics, both foundational and applied. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. Identification of information-theoretic quantities relevant for causal inference and discovery. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. 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. Data mining systems and platforms, and their efficiency, scalability, security and privacy. Yet, most of these efforts highlighted the challenges of model governance and compliance processes. [Bests of ICDM]. 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. FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. Please submit the papers and system reports toEasyChair, Thien Huu Nguyen (University of Oregon, thien@cs.uoregon.edu), Walter Chang (Adobe Research, wachang@adobe.com), Amir Pouran Ben Veyseh (University of Oregon, apouranb@uoregon.edu), Viet Dac Lai (University of Oregon, viet@uoregon.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Workshop URL:https://sites.google.com/view/sdu-aaai22/home. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. ), 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. . 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. Despite gratifying achievements that have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. 47, no. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). Submissions of technical papers can be up to 7 pages excluding references and appendices. A final tribute was paid on Saturday to former Coalition Avenir Qubec (CAQ) minister Nadine Girault, who died of lung cancer last month at age 63 . Summer. We invite submission of papers describing innovative research and applications around the following topics. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. The final schedule will be available in November. Natural language reasoning and inference. Welcome to the home of the 2023 ACM SIGMOD/PODS Conference, to be held in the Seattle metropolitan area, Washington, USA, on June 18 - June 23, 2023. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), (acceptance rate: 16.8%), August 23-27, 2020, Virtual Event, CA, USA. What approaches emerge in building fundamentally robust and adaptive AI/ML systems? Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. Key obstacles include lack of high-quality data, difficulty in embedding complex scientific and engineering knowledge in learning, and the need for high-dimensional design space exploration under constrained budgets. 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. In some programs, spots may be available after the deadlines. Knowledge Discovery and Data Mining is an interdisciplinary area focusing However, the performance and efficiency of these techniques are big challenges for performing real-time applications. 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. 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. In recent months/years, major global shifts have occurred across the globe triggered by the Covid pandemic. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. The workshop follows a single-blind reviewing process. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. The following paper categories are welcome: Submission site:https://sites.google.com/view/eaai-ws-2022/call, Silvia Tulli (Dept. Short or position papers of up to 4 pages are also welcome. ACM Transactions on Spatial Algorithms and Systems (TSAS), accepted. [materials][data]. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), pp. All papers must be submitted in PDF format, using the AAAI-22 author kit. Long papers (up to 6 pages + references) and extended abstracts (2 pages + references) are welcome, including resubmissions of already accepted papers, work-in-progress, and position papers. Attendance is open to all registered participants. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library.
1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. : Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, "Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation", ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 1.98), accepted, 2019. ML4OR is a one-day workshop consisting of a mix of events: multiple invited talks by recognized speakers from both OR and ML covering central theoretical, algorithmic, and practical challenges at this intersection; a number of technical sessions where researchers briefly present their accepted papers; a virtual poster session for accepted papers and abstracts; a panel discussion with speakers from academia and industry focusing on the state of the field and promising avenues for future research; an educational session on best practices for incorporating ML in advanced OR courses including open software and data, learning outcomes, etc. 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. VDS will bring together domain scientists and methods researchers (including data mining, visualization, usability and HCI, data management, statistics, machine learning, and software engineering) to discuss common interests, talk about practical issues, and identify open research problems in visualization in data science. Please note that the KDD Cup workshop will have no proceedings and the authors retain full rights to submit or post the paper at any other venue. Dataset(s) will be provided to hack-a-thon participants. Each paper will be reviewed by three reviewers in double-blind. All papers must be submitted in PDF format, using the AAAI-22 author kit. sup-port vector machine (SVM), decision tree, random forest, etc.) Attendance is open to any interested participants at AAAI-22. Our topics of interest span over prediction, planning, and decision problems for online marketplaces, including but not limited to. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. The paper submissions must be in pdf format and use the AAAI official templates. We encourage authors to contact the organizers to discuss possible overlap. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Frontiers in Big Data, accepted, 2021. We will accept both original papers up to 8 pages in length (including references) as well as position papers and papers covering work in progress up to 4 pages in length (not including references).Submission will be through Easychair at the AAAI-22 Workshop AI4DO submission site, Professor Bistra Dilkina (dilkina@usc.edu), USC and Dr. Segev Wasserkrug, (segevw@il.ibm.com), IBM Research, Prof. Andrea Lodi (andrea.lodi@cornell.edu), Jacobs Technion-Cornell Institute IIT and Dr. Dharmashankar Subrmanian (dharmash@us.ibm.com), IBM Research. Check the deadlines for submitting your application. GeoInformatica (impact factor: 2.392), 24, 443475 (2020). Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu. Position papers (4 pages in length for main content + 2 pages for references in AAAI format): we are seeking position papers that advocate for a particular approach or set of approaches, or present an overview of a promising relevant research area. These datasets can be leveraged to learn individuals behavioral patterns, identify individuals at risk of making sub-optimal or harmful choices, and target them with behavioral interventions to prevent harm or improve well-being. Han Wang, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Liang Zhao, Tinoosh Mohsenin, Setareh Rafatirad. 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.
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