[Best Paper Award]. For example, AI tools are built to ease the workload for teachers. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. 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. It is one of the key bottlenecks for financial services companies to improve their operating productivity. We plan to invite 2-4 keynote speakers from prestigious universities and leading industrial companies. All the workshop chairs, most of the Committees, and the authors of the accepted papers will attend the workshop also. Papers will be peer-reviewed and selected for spotlight and/or poster presentation. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. We allow papers that are concurrently submitted to or currently under review at other conferences or venues. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. In other words, many existing FL solutions are still exposed to various security and privacy threats. Social Media based Simulation Models for Understanding Disease Dynamics. 1503-1512, Aug 2015. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. arXiv preprint arXiv:2212.03954 (2022). Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints. 47, no. Short or position papers of up to 4 pages are also welcome. Award for Artificial Intelligence for the Benefit of Humanity, Patrick Henry Winston Outstanding Educator Award, A Report to ARPA on Twenty-First Century Intelligent Systems, The Role of Intelligent Systems in the National Information Infrastructure, Code of Conduct for Conferences and Events, Request to Reproduce Copyrighted Materials, AAAI Conference on Artificial Intelligence, W1: Adversarial Machine Learning and Beyond, W2: AI for Agriculture and Food Systems (AIAFS), W6: AI in Financial Services: Adaptiveness, Resilience & Governance, W7: AI to Accelerate Science and Engineering (AI2ASE), W8: AI-Based Design and Manufacturing (ADAM) (Half-Day), W9: Artificial Intelligence for Cyber Security (AICS)(2-Day), W10: Artificial Intelligence for Education (AI4EDU), W11: Artificial Intelligence Safety (SafeAI 2022)(1.5-Day), W12: Artificial Intelligence with Biased or Scarce Data, W13: Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR), W14: Deep Learning on Graphs: Methods and Applications (DLG-AAAI22), W15: DE-FACTIFY :Multi-Modal Fake News and Hate-Speech Detection, W16: Dialog System Technology Challenge (DSTC10), W17: Engineering Dependable and Secure Machine Learning Systems (EDSMLS 2022) (Half-Day), W18: Explainable Agency in Artificial Intelligence, W19: Graphs and More Complex Structures for Learning and Reasoning (GCLR), W21: Human-Centric Self-Supervised Learning (HC-SSL), W22: Information-Theoretic Methods for Causal Inference and Discovery (ITCI22), W23: Information Theory for Deep Learning (IT4DL), W25: Knowledge Discovery from Unstructured Data in Financial Services (Half-Day), W26: Learning Network Architecture during Training, W27: Machine Learning for Operations Research (ML4OR) (Half-Day), W28: Optimal Transport and Structured Data Modeling (OTSDM), W29: Practical Deep Learning in the Wild (PracticalDL2022), W30: Privacy-Preserving Artificial Intelligence, W31: Reinforcement Learning for Education: Opportunities and Challenges, W32: Reinforcement Learning in Games (RLG), W33: Robust Artificial Intelligence System Assurance (RAISA) (Half-Day), W34: Scientific Document Understanding (SDU) (Half-Day), W35: Self-Supervised Learning for Audio and Speech Processing, W36: Trustable, Verifiable and Auditable Federated Learning, W38: Trustworthy Autonomous Systems Engineering (TRASE-22), W39: Video Transcript Understanding (Half-Day), https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, https://openreview.net/group?id=AAAI.org/2022/Workshop/AIAFS, https://easychair.org/conferences/?conf=aaai-2022-workshop, https://rail.fzu.edu.cn/info/1014/1064.htm, https://aaai.org/Conferences/AAAI-22/aaai22call/, https://sites.google.com/view/aaaiwfs2022, https://www.aaai.org/Publications/Templates/AuthorKit22.zip, https://openreview.net/group?id=AAAI.org/2022/Workshop/ADAM, https://easychair.org/conferences/?conf=aics22, https://cmt3.research.microsoft.com/AIBSD2022, https://aibsdworkshop.github.io/2022/index.html, https://openreview.net/forum?id=6uMNTvU-akO, https://easychair.org/conferences/?conf=dlg22, https://deep-learning-graphs.bitbucket.io/dlg-aaai22/, https://cmt3.research.microsoft.com/DSTC102022, https://dstc10.dstc.community/calls_1/call-for-workshop-papers, https://easychair.org/my/conference?conf=edsmls2022, https://sites.google.com/view/edsmls-2022/home, https://sites.google.com/view/eaai-ws-2022/call, https://sites.google.com/view/eaai-ws-2022/topic, https://sites.google.com/view/gclr2022/submissions, https://cmt3.research.microsoft.com/AAAI2022HCSSL/Submission/Index, https://cmt3.research.microsoft.com/ITCI2022, https://easychair.org/conferences/?conf=it4dl, https://easychair.org/conferences/?conf=imlaaai22, https://sites.google.com/view/aaai22-imlw, https://easychair.org/conferences/?conf=kdf22, Learning Network Architecture During Training, https://cmt3.research.microsoft.com/OTSDM2022, https://cmt3.research.microsoft.com/PracticalDL2022, https://cmt3.research.microsoft.com/PPAI2022, https://easychair.org/conferences/?conf=rl4edaaai22, https://sites.google.com/view/raisa-2022/, https://sites.google.com/view/sdu-aaai22/home, https://cmt3.research.microsoft.com/SAS2022, https://easychair.org/conferences/?conf=fl-aaai-22, http://federated-learning.org/fl-aaai-2022/, https://cmt3.research.microsoft.com/TAIH2022, https://easychair.org/conferences/?conf=trase2022, https://easychair.org/my/conference?conf=vtuaaai2022, Symposium on Educational Advances in Artificial Intelligence (EAAI-22), Conference on Innovative Applications of Artificial Intelligence (IAAI-22). 29, no. Submissions will go through a double-blind review process. Summer. Rabat, Morocco . However, research in the AI field also shows that their performance in the wild is far from practical due to the lack of model efficiency and robustness towards open-world data and scenarios. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. of Graz), Cynthia Rudin (Duke Univ.) 17th International Workshop on Mining and Learning with Graphs. These submissions would benefit from additional exposure and discussion that can shape a better future publication. Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. Characterization of fundamental limits of causal quantities using information theory. The 21st Web Conference (WWW 2022), (Acceptance Rate: 17.7%), accepted. These complex demands have brought profound implications and an explosion of interest for research into the topic of this workshop, namely building practical AI with efficient and robust deep learning models. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. 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. We invite paper submission on the following (and related) topics: The workshop will be a 1 day meeting comprising several invited talks from distinguished researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work, and a concluding panel discussion focusing on future directions. Its capabilities have expanded from processing structured data (e.g. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. A challenge is how to integrate people into the learning loop in a way that is transparent, efficient, and beneficial to the human-AI team as a whole, supporting different requirements and users with different levels of expertise. Self-supervised learning utilizes proxy supervised learning tasks, for example, distinguishing parts of the input signal from distractors, or generating masked input segments conditioned on the unmasked ones, to obtain training data from unlabeled corpora. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. Full (8 pages) and short (4 pages, work in progress) papers, AAAI style. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. For further information, please have a look at the call for contributions. Guangji Bai, Chen Ling, Liang Zhao. Novel algorithms and theories to improve model robustness. Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. 25-50 attendees including invited speakers and accepted papers. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. These cookies ensure basic functionalities and security features of the website, anonymously. a concise checklist by Prof. Eamonn Keogh (UC Riverside). 8 pages), short (max. Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. This is a one-day workshop, planned with a 10-minute opening, 6 invited keynotes, ~6 contributed talks, 2 poster sessions, and 2 panel discussions. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. How can we engineer trustable AI software architectures? The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. Both the research papers track and the applied data science papers track will take . Games provide an abstract and formal model of environments in which multiple agents interact: each player has a well-defined goal and rules to describe the effects of interactions among the players. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, accepted (acceptance rate: 19.9%), pp. While there have been extensive independent research threads on the subject of safety and reliability of specific sub-problems in autonomy, such as the problem of robust control, as well as recent considerations of robust AI-based perception, there has been considerably less research on investigating robustness and trust in end-to-end autonomy, where AI-based perception is integrated with planning and control in an open loop. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). 4701-4707, San Francisco, California, USA, Feb 2017. Submission Guidelines Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Attendance is open to all. 14, 2022: The information of Keynote Speakers is available at, Apr. Detailed information could be found on the website of the workshop. We are in a conversation with some publishers once they confirm, we will announce accordingly. Advances in complex engineering systems such as manufacturing and materials synthesis increasingly seek artificial intelligence/machine learning (AI/ML) solutions to enhance their design, development, and production processes. Extracting knowledge or insights from this abundance of data lies at the heart of 21st century discovery, which can be used to inform decisions, coordinate activities, optimize processes, improve products and services, as well as enhance productivity and innovation across a wide range of business and scientific problems. You may file an application just the same, but Universit de Montral cannot guarantee that it will respond quickly enough for you to be able to complete all the formalities required to study in Quebec. Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, and Yanfang Ye. AI for infrastructure management and congestion. Information extraction and information retrieval for scientific documents; Question answering and question generation for scholarly documents; Word sense disambiguation, acronym identification and expansion, and definition extraction; Document summarization, text mining, document topic classification, and machine reading comprehension for scientific documents; Graph analysis applications including knowledge graph construction and representation, graph reasoning and query knowledge graphs; Biomedical image processing, scientific image plagiarism detection, and data visualization; Code/Pseudo-code generation from text and im-age/diagram captioning, New language understanding resources such as new syn-tactic/semantic parsers, language models or techniques to encode scholarly text; Survey or analysis papers on scientific document under-standing and new tasks and challenges related to each scientific domain; Factuality, data verification, and anti-science detection. Attendance is open to all prior registration to the workshop/conference. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. This thread already has a best answer. Table identification and extraction from business documents. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. The 11th International Conference on Learning Representations (ICLR 2023), accepted. Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, and Liang Zhao. August 14-18, 2022. The cookies is used to store the user consent for the cookies in the category "Necessary". AAAI, specifically, is a great venue for our workshop because its audience spans many ML and AI communities. Short papers 10m presentation and 5m discussion. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. We encourage all the teams who participated in the challenge to join the workshop. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . 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. 2022. LOG 2022 LOG '22 . Like other systems, ML systems must meet quality requirements. a fantastic tutorial on SIGKDD'09 by Prof. Eamonn Keogh (UC Riverside). Unsupervised Deep Subgraph Anomaly Detection. 19-25, 2016. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. Web applications along with text processing programs are increasingly being used to harness online data and information to discover meaningful patterns identifying emerging health threats. [slides] Self-supervised learning approaches involving the interaction of speech/audio and other modalities. 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. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. GNES: Learning to Explain Graph Neural Networks. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. 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. Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. Yevgeniy Vorobeychik (Washington University in St. Louis), Bruno Sinopoli (Washington University in St. Louis), Jinghan Yang (Washington University in St. Louis), Bo Li (UIUC), Atul Prakash (University of Michigan), Supplemental Workshop site:https://jinghany.github.io/trase2022/. Hence, this workshop will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice. Application fees are not refundable. Liang Zhao, Feng Chen, Jing Dai, Ting Hua, Chang-Tien Lu, and Naren Ramakrishnan. The workshop plans to invite about 50-75 participants. 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. 2020. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. In this workshop we would like to focus on a contrasting approach, to learn the architecture during training. It will include multiple keynote speakers, invited talks, a panel discussion, and two poster sessions for the accepted papers. . Three specific roles are part of this format: session chairs, presenters and paper discussants. Each accepted paper presentation will be allocated between 15 and 20 minutes. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", 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. Attendance is virtual and open to all. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. sup-port vector machine (SVM), decision tree, random forest, etc.) 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. chess, checkers). Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. Submissions are limited to 4 pages, not including references. Neurocomputing (Impact Factor: 5.719), accepted. The consideration and experience of adversarial ML from industry and policy making. There is now a great deal of interest in finding better alternatives to this scheme. Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data. 1, Sec. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. As for the Kraken, they made one trade a month ago to acquire a seventh defenceman, Jaycob Megna and did nothing else (from 'Kraken remain quiet as NHL trade deadline passes,' The Seattle . 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. 2022. simulation, evaluation and experimentation. Submissions that do not meet the formatting requirements will be rejected without review. The financial services industry relies heavily on AI and Machine Learning solutions across all business functions and services. Computers & Electrical Engineering (impact factor: 2.189), vo. 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. And with particular focuses but not limited to these application domains: Our program consists of two sessions: academic session and industry session. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. The final schedule will be available in November. "TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction", the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (SIGSPATIAL 2019), long paper, (acceptance rate: 21.7%), Chicago, Illinois, USA, accepted. The adversarial ML could also result in potential data privacy and ethical issues when deploying ML techniques in real-world applications. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safer. The AAAI template https://aaai.org/Conferences/AAAI-22/aaai22call/ should be used for all submissions. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. Thank you for all your contributions, our, Paper submission deadline is now extended to. In fact, the increasingly digitized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo, and Liang Zhao. We will end the workshop with a panel discussion by top researchers in the field. This has created a strong demand for transcript understanding. The post-lunch session will feature one long talk, two short talks, and a poster session. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. Any participant who experiences unacceptable behavior may contact any current member of the SIGMOD Executive Committee, the PODS Executive Committee, DBCares, or this year's D&I co-chairs Pnar Tzn (pito@itu.dk) and Renata Borovica-Gajic (renata.borovica@unimelb.edu.au).
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