Computers & Electrical Engineering (impact factor: 2.189), vo. All extended abstracts and full papers are to be presented at the poster sessions. All papers will be peer-reviewed, single-blinded (i.e., please include author names/affiliations/email addresses on your first page). Junxiang Wang and Liang Zhao. The submissions must follow the formatting guidelines for AAAI-22. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Rex Ying's Personal Website By the end of this century, the earths population is projected to increase by 45% with available arable land decreasing by 20% coupled with changes in what crops these arable lands can best support; this creates the urgent need to enhance agricultural productivity by 70% before 2050. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021), (acceptance rate: 23.6%), accepted. 4, Roosevelt Rd., Taipei, TaiwanAffiliation: National Taiwan UniversityPhone: +1-412-465-0130Email: yvchen@csie.ntu.edu.tw, Paul CrookAddress: 1 Hacker Way, Menlo Park, CA, USAAffiliation: FacebookPhone: +1-650-885-0094Email: pacrook@fb.com, DSTC 10 home:https://dstc10.dstc.community/homeDSTC 10 CFPs:https://dstc10.dstc.community/calls_1/call-for-workshop-papers. 2022. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. 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. Track 1 covers the issues and algorithms pertinent to general online marketplaces as well as specific problems and applications arising from those diverse domains, such as ridesharing, online retail, food delivery, house rental, real estate, and more. Submissions will be peer reviewed, single-blinded. For further information, please have a look at the call for contributions. 2020. As deep learning problems become increasingly complex, network sizes must increase and other architectural decisions become critical to success. It is important to learn how to use AI effectively in these areas in order to be able to motivate and help people to take actions that maximize their welfare. Adaptive Kernel Graph Neural Network. [materials]. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Deep Classifier Cascades for Open World Recognition. 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. Online and Distributed Robust Regressions with Extremely Noisy Labels. ML4OR will serve as an interdisciplinary forum for researchers in both fields to discuss technical issues at this interface and present ML approaches that apply to basic OR building blocks (e.g., integer programming solvers) or specific applications. See ICDM Acceptance Rates for more information. IBM Research, 2018. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. 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. This workshop wants to emphasize on the importance of integrative paradigms for solving the new wave of AI applications. Neil T. Heffernan, Worcester Polytechnic Institute (Worcester, MA, USA), Andrew S. Lan, University of Massachusetts Amherst (Amherst, MA, USA), Anna N. Rafferty, Carleton College (Northfield, MN, USA), Adish Singla, Max Planck Institute for Software Systems (Saarbrucken, Germany). Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP In this workshop, we want to explore ways to bridge short-term with long-term issues, idealistic with pragmatic solutions, operational with policy issues, and industry with academia, to build, evaluate, deploy, operate and maintain AI-based systems that are demonstrably safe. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. However, we will also accept anonymous submissions. Natural language reasoning and inference. Liyan Xu, Xuchao Zhang, Zong Bo, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho Choi. CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. The deep learning community must often confront serious time and hardware constraints from suboptimal architectural decisions. (Depending on the volume of submissions, we may be able to accommodate only a subset of them.). Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. At least three research trends are informing insights in this field. Oct. 24, 2021: The KDD2022 website is LIVE! 47, no. We hope to build upon that success. We will receive the paper on the CMT system. The workshop will be co-located with the KDD 2022 conference at Washington DC Convention Center,Washington D.C., USA onAugust 17th, 2022 at1PM5PM (Eastern Standard Time). "Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework",The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. This one-day workshop will bring concentrated discussions on self-supervision for the field of speech/audio processing via keynote speech, invited talks, contributed talks and posters based on community-submitted high-quality papers, and the result representation of SUPERB and Zero Speech challenge. KDD is the premier Data Science conference. For research track papers and applied data science track papers. . Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Note: The workshop is a collaboration between NASSMA organisation, Deepmind and UM6P. Check the deadlines for submitting your application. anomaly detection, and ensemble learning. Its capabilities have expanded from processing structured data (e.g. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Gabriel Pedroza (CEA LIST), Jos Hernndez-Orallo (Universitat Politcnica de Valncia, Spain), Xin Cynthia Chen (University of Hong Kong, China), Xiaowei Huang (University of Liverpool, UK), Huascar Espinoza (KDT JU, Belgium), Mauricio Castillo-Effen (Lockheed Martin, USA), Sen higeartaigh (University of Cambridge, UK), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK), Supplemental workshop site:http://safeaiw.org/. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. In light of these issues, and the ever-increasing pervasiveness of AI in the real world, we seek to provide a focused venue for academic and industry researchers and practitioners to discuss research challenges and solutions associated with building AI systems under data scarcity and/or bias. 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. Integration of probabilistic inference in training deep models. 2022. Attendance is open to all prior registration to the workshop/conference. December, 09-12, 2022. The mission of the TRASE workshop is to bring together researchers from multiple engineering disciplines, including Computer Science, and Computer, Mechanical, Electrical, and Systems Engineering, who focus their energies in understanding both specific TRASE subproblems, such as perception, planning, and control, as well as robust and reliable end-to-end integration of autonomy. Shi, Y., Deng, M., Yang, X., Liu, Q., Zhao, L., & Lu, C. T. "A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter." Submissions must be formatted in the AAAI submission format (https://www.aaai.org/Publications/Templates/AuthorKit22.zip) All submissions should be done electronically via EasyChair. Liang Zhao, Feng Chen, Jing Dai, Ting Hua, Chang-Tien Lu, and Naren Ramakrishnan. Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. 2999-3006, New Orleans, US, Feb 2018. Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. [Bests of ICDM]. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Online . All submissions will be peer-reviewed. Out of these, around 20~30 papers are accepted. These approaches make it possible to use a tremendous amount of unlabeled data available on the web to train large networks and solve complicated tasks. Innovation, Service, and Rising Star Awards. Novel AI-enabled generative models for system design and manufacturing. We hope this will help bring the communities of data mining and visualization more closely connected. About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. While a variety of research has advanced the fundamentals of document understanding, the majority have focused on documents found on the web which fail to capture the complexity of analysis and types of understanding needed across business documents. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). It does not store any personal data. KDD 2022 Second, psychological experiments in laboratories and in the field, in partnership with technology companies (e.g., using apps), to measure behavioral outcomes are being increasingly used for informing intervention design. "Misinformation Propagation in the Age of Twitter." Virtual . Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. The last few years have seen the rapid development of mathematical methods for modeling structured data coming from biology, chemistry, network science, natural language processing, and computer vision applications. Integration of AI-based approaches with engineering prototyping and manufacturing. By entering your email, you consent to receive communications from UdeM. Document structure and layout learning and recognition. We consider submissions that havent been published in any peer-reviewed venue (except those under review). All papers must be submitted in PDF format, using the AAAI-22 author kit. Attendance is expected to be 150-200 participants (estimated), including organizers and speakers. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. for causal estimation in behavioral science. The workshop follows a single-blind reviewing process.
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