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). However, most models and AI systems are built with conservative operating environment assumptions due to regulatory compliance concerns. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Three specific roles are part of this format: session chairs, presenters and paper discussants. The final schedule will be available in November. This 1-day workshop will include a mixture of invited speakers, panels (including discussion with the audience), and presentations from authors of accepted submissions. Yuyang Gao, Giorgio Ascoli, Liang Zhao. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. 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. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals: 1) Identify and understand the challenges in applying AI to specific science and engineering problems2) Develop, adapt, and refine AI tools for novel problem settings and challenges3) Community-building and education to encourage collaboration between AI researchers and domain area experts. Deep Graph Learning for Circuit Deobfuscation. Integration of non-differentiable optimization models in learning. Integrated syntax and semantic approaches for document understanding. ACM, 2014. 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/. 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.) Online and Distributed Robust Regressions with Extremely Noisy Labels. 2022. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. DI@KDD2022 Call for Papers Organization Program Keynote Talk Accepted Papers Call for Papers Document Intelligence Workshop @ KDD 2022 UPDATES August 6: Final versions of the papersare posted! In addition, authors can provide an optional one page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. However, we will also accept anonymous submissions. Check the CFP for details Deadline: ICDM 2020 . Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. [slides] Authors are strongly encouraged to make data and code publicly available whenever possible. The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. Viliam Lisy (Czech Technical University in Prague, viliam.lisy@fel.cvut.cz), Noam Brown (Facebook AI Research, noambrown@fb.com), Martin Schmid (DeepMind, mschmid@google.com), Supplemental Workshop site:http://aaai-rlg.mlanctot.info/. "Knowledge-enhanced Neural Machine Reasoning: A Review." We invite paper submission with a focus that aligns with the goals of this workshop. Attendance is open to all registered participants. The review process will be single blind. Short or position papers of up to 4 pages are also welcome. In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. Submit to: Papers are required to submit to:https://easychair.org/conferences/?conf=dlg22. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. The cookie is used to store the user consent for the cookies in the category "Analytics". Jinliang Ding, Liang Zhao, Changxin Liu, and Tianyou Chai. 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. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. All time are 23:59, AoE (Anywhere on Earth), Hongteng Xu (Renmin University of China, hongtengxu@ruc.edu.cn, main contact), Julie Delon (Universit de Paris, julie.delon@u-paris.fr), Facundo Mmoli (Ohio State University, facundo.memoli@gmail.com), Tom Needham (Florida State University, tneedham@fsu.edu). At AAAI 2021, we successfully organized this workshop (https://taih20.github.io/). In particular, we encourage papers covering late-breaking results and work-in-progress research. Qiang Yang, Hong Kong University of Science and Technology/ WeBank, China, (qyang@cse.ust.hk ), Sin G. Teo, Institute for Infocomm Research, Singapore (teosg@i2r.a-star.edu.sg), Han Yu, Nanyang Technological University, Singapore (han.yu@ntu.edu.sg), Lixin Fan, WeBank, China (lixinfan@webank.com), Chao Jin, Institute for Infocomm Research, Singapore (jin_chao@i2r.a-star.edu.sg), Le Zhang, University of Electronic Science and Technology of China (zhangleuestc@gmail.com), Yang Liu, Tsinghua University, China (liuy03@air.tsinghua.edu.cn), Zengxiang Li, Digital Research Institute, ENN Group, China (lizengxiang@enn.cn), Workshop site:http://federated-learning.org/fl-aaai-2022/. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. Robust Regression via Online Feature Selection under Adversarial Data Corruption. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities. The aim of this workshop is to focus on both original research and review articles on various disciplines of ITS applications, including particularly AI techniques for ITS time-series data analyses, ITS spatio-temporal data analyses, advanced traffic management systems, advanced traveler information systems, commercial vehicle operation systems, advanced vehicle control and safety systems, advanced public transportation services, advanced information management services, etc. Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. chess, checkers). Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao. arXiv preprint arXiv:2207.09542 (2022). The papers have to be submitted through EasyChair. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Attendance is virtual and open to all. "Multi-resolution Spatial Event Forecasting in Social Media." Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. The workshop invites contribution to novel methods, innovations, applications, and broader implications of SSL for processing human-related data, including (but not limited to): In addition to the above, papers that consider the following are also invited: Manuscripts that fit only certain aspects of the workshop are also invited. Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, live streams, meeting recordings, vlogs. Information extraction from text and semi-structured documents. For further information, please have a look at the call for contributions. System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. 2020. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs 4 pages), and position (max. Computers & Electrical Engineering (impact factor: 2.189), vo. Papers will be submitted to OpenReview system: Waiting for approval,https://openreview.net/forum?id=6uMNTvU-akO, Workshop Chair:Parisa Kordjamshidi, +1-2174187004, kordjams@msu.edu, Organizing Committee:Parisa Kordjamshidi (Michigan State University, kordjams@msu.edu), Behrouz Babaki (Mila/HEC Montreal, behrouz.babaki@mila.quebec), Sebastijan Dumani (KU Leuven, sebastijan.dumancic@cs.kuleuven.be), Alex Ratner (University of Washington, ajratner@cs.washington.edu), Hossein Rajaby Faghihi (Michigan State University, rajabyfa@msu.edu), Hamid Karimian (Michigan State University, karimian@msu.edu), Organizing Committee:Dan Roth (University of Pennsylvania, danroth@seas.upenn.edu) and Guy Van Den Broeck (University of California Los Angeles, guyvdb@cs.ucla.edu), Supplemental workshop site:https://clear-workshop.github.io. 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. Panel discussion: Interactive Q&A session with a panel of leading researchers. Some will be selected for spotlight talks, and some for the poster session. Besides academia, many companies and institutions are researching on topics specific to their particular domains. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, Liang Zhao. The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. Detailed information could be found on the website of the workshop. Characterization of fundamental limits of causal quantities using information theory. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Zirui Xu, Fuxun Xu, Liang Zhao, and Xiang Chen. Feature Constrained Multi-Task Learnings for Event Forecasting in Social Media." Guangji Bai and Liang Zhao. The cookie is used to store the user consent for the cookies in the category "Performance". Would you like to mark this message as the new best answer? Disease Contact Network. Big Data 2022 December 13-16, 2022. December 2020, July 21: Clarified that the workshop this year will be held, June 20: Paper notification is now extended to, Paper reviews are underway! Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data. Published March 4, 2023 4:51 a.m. PST. RES: A Robust Framework for Guiding Visual Explanation. Adverse event detection by integrating Twitter data and VAERS. The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and . Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao. Apr 11-14, 2022. The robust development and assured deployment of AI systems: Participants will discuss how to leverage and update common software development paradigms, e.g., DevSecOps, to incorporate relevant aspects of system-level AI assurance. 76, pp. AI Conference Deadlines For instance, advanced driver assistance systems and autonomous cars have been developed based on AI techniques to perform forward collision warning, blind spot monitoring, lane departure warning systems, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. The workshop will focus on both the theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI. 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. How to do good research, Get it published in SIGKDD and get it cited! SIGSPATIAL Special (invited paper), vo. 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. 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. What safety engineering considerations are required to develop safe human-machine interaction? Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. Neural Networks, (impact factor: 8.05), accepted. 4 (2014): 185-195. 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. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. Saliency-regularized Deep Multi-task Learning. To facilitate KDD related research, we create this repository with: *ICDM has two tracks (regular paper track and short paper track), but the exact statistic is not released, e.g., the split between these two tracks. We invite submissions of technical papers up to 7 pages excluding references and appendices. This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. 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. Long Beach, California, USA . Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. Position papers are welcome. 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 ). Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. 1503-1512, Aug 2015. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery 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. Submissions of technical papers can be up to 7 pages excluding references and appendices. Liang Gou, Bosch Research (IEEE VIS liaison), Claudia Plant, University of Vienna (KDD liaison), Alvitta Ottley, Washington University, St. Louis, Junming Shao, University of Electronic Science and Technology of China, Visualization in Data Science (VDS at ACM KDD and IEEE VIS), Visualization in Data Science (VDS at ACM KDD and IEEE VIS). ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. ACM, New York, NY, USA, 10 pages. While the research community is converging on robust solutions for individual AI models in specific scenarios, the problem of evaluating and assuring the robustness of an AI system across its entire life cycle is much more complex. Examples of the datasets which may be considered are the DBTex Radiology Mammogram dataset and the Johns Hopkins COVID-19 case reports. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. 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 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. SIGMOD 2022 adheres to the ACM Policy Against Harassment. ETA (expected time-of-arrival) prediction. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. 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. GNES: Learning to Explain Graph Neural Networks. 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). Make sure your desired study programs are open for admission in the session when you would like to start your studies. "Controllable Data Generation by Deep Learning: A Review." Handwritten recognition in business documents. Integration of neuro and symbolic approaches. 8 pages), short (max. The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. 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. Hence, AI methods are required to understand and protect the cyber domain. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Submissions will be accepted via the Easychair submission website. ), responsible development of human-centric SSL (e.g., safety, limitations, societal impacts, and unintended consequences), ethical and legal implications of using SSL on human-centric data, implications of SSL on robustness and fairness, implications of SSL on privacy and security, interpretability and explainability of human-centric SSL frameworks, if your work broadly addresses the use of unlabeled human-centric data with unsupervised or semi-supervised learning, if your work focuses on architectures and frameworks for SSL for sensory data beyond CV and NLP (but not necessarily human-centric data).
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