CVPR 11 deadline . However, the quality of audio and video content shared online and the nature of speech and video transcripts pose many challenges to the existing natural language processing. The workshop aims at bridging formalisms for learning and reasoning such as neural and symbolic approaches, probabilistic programming, differentiable programming, Statistical Relation Learning and using non-differentiable optimization in deep models. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. Innovation, Service, and Rising Star Awards. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), (acceptance rate: 22%), Vancouver, BC, pp. While most work on XAI has focused on opaque learned models, this workshop also highlights the need for interactive AI-enabled agents to explain their decisions and models. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Submission instructions will be available at the workshop web page. "Misinformation Propagation in the Age of Twitter." Algorithms for secure and privacy-aware machine learning for AI. 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/. Xiaojie Guo and Liang Zhao. ISBN: 978-981-16-6053-5. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. Research track papers reporting the results of ongoing or new research, which have not been published before. What techniques and approaches can be used to detect and effectively manage similar scenarios in the future? However, we will also accept anonymous submissions. Other submissions will be evaluated by a committee based on their novelty and insights. 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! The AAAI Workshop on Machine Learning for Operations Research (ML4OR) builds on the momentum that has been directed over the past 5 years, in both the OR and ML communities, towards establishing modern ML methods as a first-class citizen at all levels of the OR toolkit. Tips for Doing Good DM Research & Get it Published! However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. 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. Liang Zhao, Feng Chen, Jing Dai, Ting Hua, Chang-Tien Lu, and Naren Ramakrishnan. 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. Guangji Bai, Chen Ling, Liang Zhao. The main interest of the proposed workshop is to look at a new perspective of system engineering where multiple disciplines such as AI and safety engineering are viewed as a larger whole, while considering ethical and legal issues, in order to build trustable intelligent autonomy. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. 27, 2022: Please check out Speical Days at, Apr. Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. 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. What safety engineering considerations are required to develop safe human-machine interaction? The workshop plans to invite about 50-75 participants. Automatic fact/claim verification has recently become a topic of interest among diverse research communities. Attendance is open to all. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Some will be selected for spotlight talks, and some for the poster session. Exploring the limits of self-supervised learning approaches for speech and audio processing, for example, adverse environment conditions, multiple languages, or generalization across downstream tasks. Robust Regression via Online Feature Selection under Adversarial Data Corruption. . Event Prediction in the Big Data Era: A Systematic Survey. We are in a conversation with some publishers once they confirm, we will announce accordingly. If it turns out that the architecture is not appropriate for the task, the user must repeatedly adjust the architecture and retrain the network until an acceptable architecture has been obtained. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. iCal Outlook robotics Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. ADMM for Efficient Deep Learning with Global Convergence. 2022. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. Oral presentations: 10 minute presentation for oral papers. : KDD 2022 Chen Ling, Hengning Cao, Liang Zhao. Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2020), (acceptance rate: 20.6%), accepted. We expect 60-70 participants. 1503-1512, Aug 2015. All papers must be submitted in PDF format, using the AAAI-22 author kit. The industry session will emphasize practical industrial product developments using GNNs. Paper Submission Deadline: May 26, 2022 Author Notification: June 20, 2022 Camera Ready: July 9, 2022 Workshop: August . At least one author of each accepted submission must register and present the paper at the workshop. 15, pp. Hua, Ting, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. Information theoretic quantities (entropy, mutual information, divergence) estimation, Information theoretic methods for out-of-domain generalization and relevant problems (such as robust transfer learning and lifelong learning), Information theoretic methods for learning from limited labelled data, such as few-shot learning, zero-shot learning, self-supervised learning, and unsupervised learning, Information theoretic methods for the robustness of DNNs in AI systems, The explanation of deep learning models (in AI systems) with information-theoretic methods, Information theoretic methods in different AI applications (e.g., NLP, healthcare, robotics, finance). The final schedule will be available in November. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. Dataset(s) will be provided to hack-a-thon participants. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. for causal estimation in behavioral science. AAAI is pleased to present the AAAI-22 Workshop Program. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. References will not count towards the page limit. Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. The submissions must follow the formatting guidelines for AAAI-22. CFP - EasyChair Prof. Max Welling, University of Amsterdam and Microsoft ResearchProf. Please keep your paper format according to AAAI Formatting Instructions (two-column format). Handwritten recognition in business documents. New self-supervised proxy tasks or new approaches using self-supervised models in speech and audio processing. Conference Management Toolkit - Login Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Submission Guidelines Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. KDD 2022. Countdowns to conference deadlines in the field of autonomous driving. Proceedings of the IEEE (impact factor: 9.237), vol. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. In this workshop we would like to focus on a contrasting approach, to learn the architecture during training. The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. [Best Paper Award Shortlist]. "Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data" The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) , (acceptance rate: 21%), pp. Alan Yuille (Professor, Johns Hopkins University); Hao Su (Assistant Professor, UC San Diego); Rongrong Ji (Professor, Xiamen University); Xianglong Liu (Professor, Beihang University); Jishen Zhao (Associate Professor, UC San Diego); Tom Goldstein (Associate Professor, University of Maryland); Cihang Xie (Assistant Professor, UC Santa Cruz); Yisen Wang (Assistant Professor, Peking University); Bohan Zhuang (Assistant Professor, Monash University), Haotong Qin (Beihang University), Yingwei Li (Johns Hopkins University), Ruihao Gong (SenseTime Research), Xinyun Chen (UC Berkeley), Aishan Liu (Beihang University), Xin Dong (Harvard University), Jindong Guo (University of Munich), Yuhang Li (Yale University), Yiming Li (Tsinghua University), Yifu Ding (Beihang University), Mingyuan Zhang (Nanyang Technological University), Jiakai Wang (Beihang University), Jinyang Guo (University of Sydney), Renshuai Tao (Beihang University), Workshop site:https://practical-dl.github.io/. Integrated syntax and semantic approaches for document understanding. Accepted submissions will be notified latest by August 7th, 2022. We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. Online marketplaces exist in a diverse set of domains and industries, for example, rideshare (Lyft, DiDi, Uber), house rental (Airbnb), real estate (Beke), online retail (Amazon, Ebay), job search (LinkedIn, Indeed.com, CareerBuilder), and food ordering and delivery (Doordash, Meituan). Track 2 focuses on the state of the art advances in the computational jobs marketplace. It highlights the importance of declarative languages that enable such integration for covering multiple formalisms at a high-level and points to the need for building a new generation of ML tools to help domain experts in designing complex models where they can declare their knowledge about the domain and use data-driven learning models based on various underlying formalisms. Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. Recent years have witnessed growing efforts from the AI research community devoted to advancing our education and promising results have been obtained in solving various critical problems in education. See ICDM Acceptance Rates for more information. We propose a full day workshop with the following sessions: The workshop solicits paper submissions from participants (26 pages). Share. A tag already exists with the provided branch name. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . 2022. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. PDF suitable for ArXiv repository (4 to 8 pages). Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao. Participants are welcomed to submit their system reports to be presented in the workshop. No supplement is allowed for extended abstracts. We received 38 paper submissions and accepted 23 of them. At least one author of each accepted submission must be present at the workshop. It further combines academia and industry in a quest for well-founded practical solutions. For example, AI tools are built to ease the workload for teachers. How can we engineer trustable AI software architectures? 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. We allow both short (2-4 pages) and long papers (6-8 pages) papers. Workshop Date: Sunday August 14, 2022 EDT. The workshop is organized by paper presentations.The length of the workshop: 1-day, 6-8 pages for full papers2-4 for poster/short/position papers, Submission URL:https://easychair.org/conferences/?conf=aaai-2022-workshop, Wenzhong Guo (Fuzhou University, fzugwz@163.com), Chin-Chen Chang (Feng Chia University, alan3c@gmail.com), Chi-Hua Chen (Fuzhou University, chihua0826@gmail.com), Haishuai Wang (Fairfield University & Harvard University, hwang@fairfield.edu), Feng-Jang Hwang (University of Technology Sydney), Cheng Shi (Xian University of Technology), Ching-Chun Chang (National Institute of Informatics, Japan). We consider submissions that havent been published in any peer-reviewed venue (except those under review).
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kdd 2022 deadline