kdd 2022 deadline11 Mar kdd 2022 deadline
the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. We welcome attendance from individuals who do not have something theyd like to submit but who are interested in RL4ED research. Research efforts and datasets on text fact verification could be found, but there is not much attention towards multi-modal or cross-modal fact-verification. Jos Miguel Hernndez-Lobato, University of CambridgeProf. 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. Saliency-regularized Deep Multi-task Learning. Zero Speech challenge is to build language models only based on audio or audio-visual information, without using any textual input. We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. Workshops are one day unless otherwise noted in the individual descriptions. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. All papers will be peer reviewed, single-blinded. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Registration information will be mailed directly to all invited participants in December. Deep learning and statistical methods for data mining. 17th International Workshop on Mining and Learning with Graphs. It is well-known that deep learning techniques that were disruptive for Euclidean data such as images or sequence data such as text are not immediately applicable to graph-structured data. All the submissions must follow the AAAI-22 formatting guidelines, camera-ready style. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. 3434-3440, Melbourne, Australia, Aug 2017. Recent years have witnessed growing interest in human and AI systems with the increasing realisation that machines can indeed meet objectives specified but the real question becomes have they been given the right objectives. These lead to security considerations: (1) securing personal health information, genetic material, intellectual property, and digital health records, (2) balancing privacy rights and data ownership concerns in solutions using network and mobile data, (3) defending AI for biology use cases to deter automated attacks at scale. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. IEEE Computer (impact factor: 3.564), vo. The workshop will focus on two thrusts: 1) Exploring how we can leverage recent advances in RL methods to improve state-of-the-art technology for ED; 2) Identifying unique challenges in ED that can help nurture technical innovations and next breakthroughs in RL. Can AI achieve the same goal without much low-level supervision? Out of these, around 20~30 papers are accepted. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. Besides academia, many companies and institutions are researching on topics specific to their particular domains. Please use ACM Conference templates (two column format). Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. Submit to: Papers are required to submit to:https://easychair.org/conferences/?conf=dlg22. Aug 14-18. 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. Research track papers reporting the results of ongoing or new research, which have not been published before. In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. What are the primary lessons learned from the model failures? At least one author of each accepted submission must be present at the workshop. 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. Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. Deadline in your local America/New_York timezone: Deadline in timezone from conference website: DASFAA 2022. Submissions can be original research contributions, or abstracts of papers previously submitted to top-tier venues, but not currently under review in other venues and not yet published. The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. 8 pages), short (max. [paper] Han Wang, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Liang Zhao, Tinoosh Mohsenin, Setareh Rafatirad. Adaptive Kernel Graph Neural Network. 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. Checklist for Revising a SIGKDD Data Mining Paper: Dr. Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. SDU will be a one-day workshop. Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. Xiaojie Guo, Yuanqi Du, Liang Zhao. 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. The role of adjacent fields of study (e.g, computational social science) in mitigating issues of bias and trust in AI. SDU is expected to host 50-60 attendees. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. ), Programs also suitable for students not fluent in French, Information and Communication Technologies, Graduate (master's, specialized graduate diploma (DESS), microprogram): February 1, Graduate (master's, specialized graduate diploma (DESS), microprogram): September 1. Workshop URL:https://rail.fzu.edu.cn/info/1014/1064.htm, Prof. Chi-Hua ChenEmail: chihua0826@gmail.comPostal address: No.2, Xueyuan Rd., Fuzhou, Fujian, ChinaTelephone: +86-18359183858. We are excited to continue promoting innovation in self-supervision for the speech/audio processing fields and inspiring the fields to contribute to the general machine learning community. 9, no. Recently self-supervised approaches for speech/audio processing are also gaining attention. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. We invite paper submission with a focus that aligns with the goals of this workshop. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. In our workshop, we specifically focus on the trustworthy issues in AI for healthcare, aiming to make clinical AI methods more reliable in real clinical settings and be willingly used by physicians. 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). About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. "Online Spatial Event Forecasting in Microblogs. 7, no. 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. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Attendance is open to all; at least one author of each accepted paper must be virtually present at the workshop. Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu. RLG is a full-day workshop. 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. 4 pages) papers describing research at the intersection of AI and science/engineering domains including chemistry, physics, power systems, materials, catalysis, health sciences, computing systems design and optimization, epidemiology, agriculture, transportation, earth and environmental sciences, genomics and bioinformatics, civil and mechanical engineering etc. The final schedule will be available in November. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. Short or position papers of up to 4 pages are also welcome. Cesa Salaam (Howard University, USA), Hwanhee Lee (Seoul National University, South Korea), Jaemin Cho (University of North Carolina at Chapel Hill, USA), Jielin Qiu (Carnegie Mellon University, USA), Joseph Barrow (University of Maryland, US), Mengnan Du (Texas A&M University, USA), Minh Van Nguyen (University of Oregon, USA), Nicole Meister (Princeton University, USA), Sajad Sotudeh Gharebagh (Georgetown University, USA), Sampreeth Chebolu (University of Houston, USA), Sarthak Jain (Northeastern University, USA),Shufan Wang (University of Massachusetts Amherst, USA), Supplemental Workshop site:https://vtuworkshop.github.io/2022/, https://research.ibm.com/haifa/Workshops/AAAI-22-AI4DO/. We allow both short (2-4 pages) and long papers (6-8 pages) papers. Whats more, various AI based models are trained on massive student behavioral and exercise data to have the ability to take note of a students strengths and weaknesses, identifying where they may be struggling. Submission at:https://easychair.org/my/conference?conf=edsmls2022. Deadline: FSE 2023. Three specific roles are part of this format: session chairs, presenters and paper discussants. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. The aim of the hack-a-thon is not only to foster innovation and potentially provide answers to outstanding research problems, but rather to engage the community and create new collaborations. Declarative languages and differentiable programming. What AI safety considerations and experiences are relevant from industry? "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design", 28th International Conference on Field Programmable Logic and Applications (FPL 2019), (acceptance rate: 18%), Barcelona, Spain, accepted. Please note that foreign students must allow for 3 to 6 months to complete all the formalities required to study in Canada. . Long Beach, California, USA . Why did so many AI/ML models fail during the pandemic? December, 12-16, 2022. Novel ML methods in the computational material and physical sciences. Submissions are limited to 4 pages, not including references. https://doi.org/10. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. Association for the Advancement of Artificial Intelligence, The Thirty-Sixth AAAI Conference on Artificial IntelligenceFebruary 28 and March 1, 2022Vancouver Convention CentreVancouver, BC, Canada. Integration of probabilistic inference in training deep models. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. This workshop aims to explore and advance the current state of research and practice, including but not limited to the following topics: In addition to the invited talks and the panel discussion on topics related to Document Intelligence, the workshop program will include paper sessions which provides an opportunity to present peer-reviewed work on the topic related to Document Intelligence. Undergraduate (bachelor's, certificate, etc. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. 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. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. The goal of this workshop is to focus on creating and refining AI-based approaches that (1) process personalized data, (2) help patients (and families) participate in the care process, (3) improve patient participation, (4) help physicians utilize this participation to provide high quality and efficient personalized care, and (5) connect patients with information beyond that available within their care setting. This workshop aims to bring together FL researchers and practitioners to address the additional security and privacy threats and challenges in FL to make its mass adoption and widespread acceptance in the community. For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers. KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. 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. Send this CFP to us by mail: cfp@ourglocal.org. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu. Their results will be submitted in either a short paper or poster format. Adverse event detection by integrating Twitter data and VAERS. "Multi-Task Learning for Spatio-Temporal Event Forecasting." This policy also applies to papers that overlap substantially in technical content with papers previously published, accepted, or under review. 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. Recently developed tools and cutting-edge methodologies coming from the theory of optimal transport have proved to be particularly successful for these tasks. 105, no. 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. The workshop will be a one-day meeting and will include a number of technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a tutorial talk, and will conclude with a panel discussion. Neural Networks, (impact factor: 8.05), accepted. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 24.31), accepted. [materials]. Accepted submissions will have the option of being posted online on the workshop website. with other vehicles via vehicular communication systems (e.g., dedicated short range communication (DSRC), vehicular ad hoc networks (VANETs), long term evolution (LTE), and 5G/6G mobile networks) for cooperation. 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. How to Write and Publish Research Papers for the Premier Forums in Knowledge & Data Engineering: This has created a strong demand for transcript understanding. Submit to: Submissions should be made via EasyChair athttps://easychair.org/conferences/?conf=it4dl, Jose C. Principe (University of Florida, principe@cnel.ufl.edu), Robert Jenssen (UiT The Arctic University of Norway, robert.jenssen@uit.no), Badong Chen (Xian Jiaotong University, chenbd@mail.xjtu.edu.cn), Shujian Yu (UiT The Arctic University of Norway, yusj9011@gmail.com), Supplemental workshop site:https://www.it4dl.org/. Performance characterization of AI algorithms and systems under bias and scarcity. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. Xiaojie Guo and Liang Zhao. All the submissions should be anonymous. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Attendance is open to all; at least one author of each accepted submission must be physically/virtually present at the workshop. "Knowledge-enhanced Neural Machine Reasoning: A Review." Liming Zhang, Dieter Pfoser, Liang Zhao. Natural language reasoning and inference. Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. All submissions must be original contributions and will be peer reviewed, single-blinded. The Thirty-Sixth AAAI Conference on Artificial IntelligenceFebruary 28 and March 1, 2022Vancouver Convention CentreVancouver, BC, Canada AAAI is pleased to present the AAAI-22 Workshop Program. arXiv preprint arXiv:2302.02093 (2023). Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. Integration of Deep Learning and Relational Learning. Please email to Lingfei Wu: lwu@email.wm.edu for any query. Online . To view them in conference website timezones, click on them. Template guidelines are here:https://www.acm.org/publications/proceedings-template. Given the ever-increasing role of the World Wide Web as a source of information in many domains including healthcare, accessing, managing, and analyzing its content has brought new opportunities and challenges. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . By registering, you agree to receive emails from UdeM. The impact of robustness assurance on other AI ethics principles: RAISA will also explore aspects related to ethical AI that overlap and interact with robustness concerns, including security, fairness, privacy, and explainability.
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