We are interested in a broad range of topics, both foundational and applied. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. 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. 2085-2094, Aug 2016. Counter-intuitive behaviors of ML models will largely affect the public trust on AI techniques, while a revolution of machine learning/deep learning methods may be an urgent need. For research track papers and applied data science track papers. How can we engineer trustable AI software architectures? Dataset(s) will be provided to hack-a-thon participants. "Robust Regression via Heuristic Hard Thresholding". Authors are strongly encouraged to make data and code publicly available whenever possible. KDD 2022 Authors are invited to send a contribution in the AAAI-22 proceedings format. We accept two types of submissions full research paper no longer than 8 pages (including references) and short/poster paper with 2-4 pages. in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), research track, (acceptance rate: 19.4%), Sydney, Australia, pp. Paper Final Version Due: Monday August 1, 2022. KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP Deep Graph Spectral Evolution Networks for Graph Topological Evolution. Disentangled Spatiotemporal Graph Generative Model. We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. Zero Speech challenge is to build language models only based on audio or audio-visual information, without using any textual input. However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. Accepted submissions will be notified latest by August 7th, 2022. Attendance is open to all. The workshop will include several technical sessions, a virtual poster session where presenters can discuss their work, to further foster collaborations, multiple invited speakers covering crucial aspects for the practical deep learning in the wild, especially the efficient and robust deep learning, some tutorial talks, the challenge for efficient deep learning and solution presentations, and will conclude with a panel discussion. Expected attendance is 40-50 people. However, workshop organizers may set up any archived publication mechanism that best suits their workshop. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. At AAAI 2021, we successfully organized this workshop (https://taih20.github.io/). PLOS ONE (impact factor: 3.534), vo. Each full paper will be reviewed by three PC members, while extended abstracts will not be reviewed. IEEE Computer (impact factor: 3.564), vo. Disease Contact Network. Submission site:https://cmt3.research.microsoft.com/ITCI2022, Murat Kocaoglu, Chair (Purdue University, mkocaoglu@purdue.edu), Negar Kiyavash (EPFL, negar.kiyavash@epfl.ch), Todd Coleman (UCSD, tpcoleman@ucsd.edu), Supplemental workshop site:https://sites.google.com/view/itci22. Workshop Date: Sunday August 14, 2022 EDT. 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. The workshop plans to invite about 50-75 participants. 2022. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. ASPLOS 2023 will be moving to three submission deadlines. In the coronavirus era, requiring many schools to move to online learning, the ability to give feedback at scale could provide needed support to teachers. [materials][data]. Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, live streams, meeting recordings, vlogs. Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. LOG 2022 LOG '22 . arXiv preprint arXiv:2302.02093 (2023). Declarative languages and differentiable programming. Virtual . 2022. Industry-wide reports highlight large-scale remediation efforts to fix the failures and performance issues. Meta-learning models from various existing task-specific AI models. This cookie is set by GDPR Cookie Consent plugin. Oral Paper (Top 5% among the accepted papers). The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2016), regular paper, (acceptance rate: 8.5%), pp. Supplemental Workshop site:https://rl4ed.org/aaai2022/index.html. We welcome full paper submissions (up to 8 pages, excluding references or supplementary materials). 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. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. of Graz), Cynthia Rudin (Duke Univ.) 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). Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. 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. The theme of the hack-a-thon will be decided before submission is closed and will be focused around finding creative solutions to novel problems in health. Novel approaches and works in progress are encouraged. We solicit papers describing significant and innovative research and applications to the field of job marketplaces. We will instead host the accepted papers on this website (https://aka.ms/di-2022) indefinitely. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Washington DC, USA. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. The AAAI-22 workshop program includes 39 workshops covering a [] At the AAAI 2022 Workshop on Video Transcript Understanding (VTU @ AAAI 2022), we aim to bring together researchers from various domains to make the best of the knowledge that all these videos contain. chess, checkers). Creative Commons Attribution-Share Alike 3.0 License, 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, Knowledge Discovery and Data Mining Conference, 22nd ACM SIGKDD international conference on knowledge discovery and data mining, 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 18th ACM SIGKDD Knowledge Discovery and Data Mining, The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. By entering your email, you consent to receive communications from UdeM. IBM Research, 2018. 2022. AD Conference Deadlines Accepted papers will be published in the workshop proceedings. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. AI is now shaping the way businesses, governments, and educational institutions do things and is making its way into classrooms, schools and districts across many countries. Deep learning and statistical methods for data mining. 2022. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. 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." and Simone Stumpf (Univ. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). The program consists of poster sessions for accepted papers, and invited and spotlight talks. GeoInformatica (impact factor: 2.392), 24, 443475 (2020). Unsupervised Deep Subgraph Anomaly Detection. Lyle Unga (University of Pennsylvania, ungar@cis.upenn.edu), Rahul Ladhania* (University of Michigan, ladhania@umich.edu, primary contact), Linnea Gandhi (University of Pennsylvania, lgandhi@wharton.upenn.edu), Michael Sobolev (Cornell Tech, michael.sobolev@cornell.edu), Supplemental workshop site:https://ai4bc.github.io/ai4bc22/, For any questions, please reach out to us at ai4behaviorchange at gmail dot com. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, and Liang Zhao. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. Detailed information could be found on the website of the workshop. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. ), 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. Oct 14, 2021: Abstract Deadline. There will be live Q&A sessions at the end of each talk and oral presentation. Guangji Bai and Liang Zhao. We allow papers that are concurrently submitted to or currently under review at other conferences or venues. The workshop combines several disciplines, including ML, software engineering (with emphasis on quality), security, and game theory. Submissions of technical papers can be up to 7 pages excluding references and appendices. Abstracts of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. 4498-4505, New Orleans, US, Feb 2018. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. However, the use of rich data sets also raises significant privacy concerns: They often reveal personal sensitive information that can be exploited, without the knowledge and/or consent of the involved individuals, for various purposes including monitoring, discrimination, and illegal activities. ADMM for Efficient Deep Learning with Global Convergence. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. Junxiang Wang, Fuxun Yu, Xiang Chen, and Liang Zhao. Neurocomputing (Impact Factor: 5.719), accepted. Rabat, Morocco . Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo, and Liang Zhao. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. Extended abstracts should not exceed 2 pages, excluding references. Integration of non-differentiable optimization models in learning. We will also have a video component for remote participation. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. ACM, 2013. for causal estimation in behavioral science. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. 4 pages), and position (max. By clicking Accept All, you consent to the use of ALL the cookies. Submitted technical papers can be up to 4 pages long (excluding references and appendices). Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. Oilers Outperform Division Rivals at 2023 Trade Deadline Nowadays, machine learning solutions are widely deployed. Xiaojie Guo and Liang Zhao. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. Attendance is open to all. How do metrics of capability and generality, and the trade-offs with performance affect safety? Please keep your paper format according to AAAI Formatting Instructions (two-column format). Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. The objective of this workshop is to discuss the winning submissions of the Submissions to the Amazon KDD Cup 2022 issingle-blind (author names and affiliations should be listed). 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).
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