kdd 2022 deadline

of Graz), Cynthia Rudin (Duke Univ.) 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 . the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. What safety engineering considerations are required to develop safe human-machine interaction? 2022. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. Andrew White, University of RochesterDr. Submissions will be accepted via the Easychair submission website. Researchers from related fields are invited to submit papers on the recent advances, resources, tools, and upcoming challenges for SDU. [Submission deadline extended, June 3] KDD 2022 Workshop on - INFORMS RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. 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. Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. We encourage all the teams who participated in the challenge to join the workshop. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. The 2022 ACM SIGMOD/PODS Conference: Philidelphia, Pennsylvania, USA The workshop will focus on both the theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI. The AAAI template https://aaai.org/Conferences/AAAI-22/aaai22call/ should be used for all submissions. A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. We encourage long papers, short papers and demo papers. 15, pp. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. 3434-3440, Melbourne, Australia, Aug 2017. : Papers are submitted through the CMT portal for this workshop: Please select the track for your submission in Primary Subject Area and indicate if your submission is a full paper or an extended abstract in Secondary Subject Area. Hyperparameters such as the number of layers, the number of nodes in each layer, the pattern of connectivity, and the presence and placement of elements such as memory cells, recurrent connections, and convolutional elements are all manually selected. However, you may visit "Cookie Settings" to provide a controlled consent. 29, no. In addition, authors can provide an optional one page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. Papers that are under review at another conference or journal are acceptable for submission at this workshop, but we will not accept papers that have already been accepted or published at a venue with formal proceedings (including KDD 2022). "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. Data Mining Conferences - GitHub Chen Ling, Carl Yang, and Liang Zhao. Yuyang Gao and Liang Zhao. Integration of probabilistic inference in training deep models. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Conference Series : Knowledge Discovery and Data Mining Link: https://kdd.org/kdd2022/ Call For Papers [Empty] Related Resources KDD 2023 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING 2022. 14, 2022: The information of Keynote Speakers is available at, Apr. Authors of accepted papers will be invited to participate. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. The post-lunch session will feature a second keynote talk, two invited talks. The cookie is used to store the user consent for the cookies in the category "Other. The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Through invited talks and presentations by the participants, this workshop will bring together current advances in Network Science as well as Machine Learning, and set the stage for continuing interdisciplinary research discussions. Trade-Off between Privacy-Preserving and Explainable Federated Learning Federated Learning Multi-Party Computation, Federated Learning Homomorphic Encryption, Federated Learning Personalization Techniques, Federated Learning Meets Mean-Field Game Theory, Federated Learning-based Corporate Social Responsibility. Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. We also welcome submissions that are currently under consideration in such archival venues. text, images, and videos). IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. In recent years, machine learning techniques (e.g. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. All submissions must be anonymous and conform to AAAI standard for double-blind review. Why did so many AI/ML models fail during the pandemic? For example, FL is still at the risk of various kinds of attacks that may result in leakage of individual data source privacy or degraded joint model accuracy. GNES: Learning to Explain Graph Neural Networks. Oct 14, 2021: Abstract Deadline. 2022. Data mining systems and platforms, and their efficiency, scalability, security and privacy. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization. The workshop will be organized as a full day meeting. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." KDD 2023 August 06-10, 2023. We invite submissions of technical papers up to 7 pages excluding references and appendices. One recommended setting for Latex file is:\documentclass[sigconf, review]{acmart}. Papers will be peer-reviewed and selected for oral and/or poster presentations at the workshop. Explainable Agency captures the idea that AI systems will need to be trusted by human agents and, as autonomous agents themselves must be able to explain their decisions and the reasoning that produced their choices (Langley et al., 2017). KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Information-theoretic approaches provide a novel set of tools that can expand the scope of classical approaches to causal inference and discovery problems in a variety of applications. iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. For general inquiries about AI2ASE, please write to the lead organizer aryan.deshwal@wsu.edu or jana.doppa@wsu.edu. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . 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." The positive/negative social impacts and ethical issues related to adversarial ML. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . Declarative languages and differentiable programming. 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. How can we develop solid technical visions and new paradigms about AI Safety? The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021), (acceptance rate: 23.6%), accepted. Both the research papers track and the applied data science papers track will take . The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. Additional advantages are possible, including decreased computational resources to solve a problem, reduced time for the network to make predictions, reduced requirements for training set size, and avoiding catastrophic forgetting. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. ICDM: International Conference on Data Mining 2024 2023 2022 - WikiCFP Information extraction from text and semi-structured documents. Sigcomm 2022! - July 21: Clarified that the workshop this year will be held in-person. Each oral presentation will be allocated between 10-15 minutes, while the spotlight presentation will be 2 minute each. 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. The Conference. Paper Submission Deadline: 23:59 on Thursday. Social Media based Simulation Models for Understanding Disease Dynamics. This topic also encompasses techniques that augment or alter the network as the network is trained. 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. convolutional neural network (CNN), recurrent neural network (RNN), etc.) This thread already has a best answer. 2, no. 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). Deep Graph Translation. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). Kyoto . The workshop will be a one-day workshop, featuring speakers, panelists, and poster presenters from machine learning, biomedical informatics, natural language processing, statistics, behavior science. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. 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. 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. 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. The excellent papers will be recommended for publications in SCI or EI journals. The workshop attracted about 100 attendees. 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. Your Style Your Identity: LeveragingWriting and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network, The Web Conference (WWW 2019), short paper, (acceptance rate: 20%), accepted, 2019. All papers will be peer reviewed, single-blinded. Typically, we receive around 40~60 submissions to each previous workshop. 1-11, Feb 2016. Prof. Max Welling, University of Amsterdam and Microsoft ResearchProf. DeepGAR: Deep Graph Learning for Analogical Reasoning. This workshop aims to bring together researchers from industry and academia and from different disciplines in AI and surrounding areas to explore challenges and innovations in IML. Deep Geometric Neural Networks for Spatial Interpolation. 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. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. 2022. Papers will be peer-reviewed and selected for spotlight and/or poster presentation. In addition to the keynote and presentations of accepted works, the workshop will include both a general discussion session on defining and addressing the key challenges in this area , and a lightning tutorial session that will include brief overviews and demos of relevant tools, including open source frameworks such as Ecole. Submit to:https://easychair.org/conferences/?conf=imlaaai22, Elizabeth DalyAddress: IBM Dublin Technology Campus, Dublin 15, IrelandEmail: elizabeth.daly@ie.ibm.com, Elizabeth Daly, IBM Research, Ireland (elizabeth.daly@ie.ibm.com), znur Alkan, IBM Research, Ireland (oalkan2@ie.ibm.com), Stefano Teso, University of Trento, Italy (stefano.teso@unitn.it), Wolfgang Stammer, TU Darmstadt, Germany (wolfgang.stammer@cs.tu-darmstadt.de), Workshop URL:https://sites.google.com/view/aaai22-imlw. 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. Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. Hence, AI methods are required to understand and protect the cyber domain. 2022. All the submissions should be anonymous. For research track papers and applied data science track papers. Submissions including full papers (6-8 pages) and short papers (2-4 pages) should be anonymized and follow the AAAI-22 Formatting Instructions (two-column format) at https://www.aaai.org/Publications/Templates/AuthorKit22.zip. This workshop aims to provide a premier interdisciplinary forum for researchers in different communities to discuss the most recent trends, innovations, applications, and challenges of optimal transport and structured data modeling. Authors are strongly encouraged to make data and code publicly available whenever possible. Each paper will be reviewed by three reviewers in double-blind. The following paper categories are welcome: Submission site:https://sites.google.com/view/eaai-ws-2022/call, Silvia Tulli (Dept. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. At least one author of each accepted submission must register and present their paper at the workshop. Identification of information-theoretic quantities relevant for causal inference and discovery. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. [code] Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. The trained models are intended to assign scores to novel utterances, assessing whether they are possible or likely utterances in the training language. This workshop will follow a dual-track format. 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. Furthermore, DNNs are data greedy in the context of supervised learning, and not well developed for limited label learning, for instance for semi-supervised learning, self-supervised learning, or unsupervised learning. 2022. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Deep Spatial Domain Generalization. We invite submissions to the AAAI-22 workshop on Graphs and more Complex structures for Learning and Reasoning to be held virtually on February 28 or March 1, 2022. December 2020, July 21: Clarified that the workshop this year will be held, June 20: Paper notification is now extended to, Paper reviews are underway! Hua, Ting, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. Other submissions will be evaluated by a committee based on their novelty and insights. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. iCal Outlook robotics We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. 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. Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen. All papers must be submitted in PDF format, using the AAAI-22 author kit. At least one author of each accepted submission must be present at the workshop. "The EMBERS architecture for streaming predictive analytics." Call for Papers Document Intelligence Workshop @ KDD 2022 The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. 105, no. Attendance is open to all, subject to any room occupancy constraints. Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. [paper] Participants will be given access to publicly available datasets and will be asked to use tools from AI and ML to generate insight from the data. The program of the workshop will include invited talks, paper presentations and a panel discussion. in Proceedings of the 24st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), research track (acceptance rate: 18.4%), London, United Kingdom, Aug 2018, accepted. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. San Francisco, USA . 2020. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). The goal of this workshop is to offer an opportunity to appreciate the diversity in applications, to draw connections to inform decision optimization across different industries, and to discover new problems that are fundamental to marketplaces of different domains. In this 2nd instance of GCLR (Graphs and more Complex structures for Learning and Reasoning) workshop, we will focus on various complex structures along with inference and learning algorithms for these structures. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Conference stats are visualized below for a straightforward comparison. 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. There is a need for the research community to develop novel solutions for these practical issues. Adaptive Kernel Graph Neural Network. 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. : Some of the key questions to be explored include: The workshop will take place in person and will span over one day. Integrated syntax and semantic approaches for document understanding. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. We allow both short (2-4 pages) and long papers (6-8 pages) papers. Interpretable Molecular Graph Generation via Monotonic Constraints. 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. Adversarial attacking deep learning systems, Robust architectures against adversarial attacks, Hardware implementation and on-device deployment, Benchmark for evaluating model robustness, New methodologies and architectures for efficient and robust deep learning, December 3, 2021 Acceptance Notification, Applications of privacy-preserving AI systems, Differential privacy: theory and applications, Distributed privacy-preserving algorithms, Privacy preserving optimization and machine learning, Privacy preserving test cases and benchmarks. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Martin Michalowski, PhD, FAMIA (Co-chair), University of Minnesota; Arash Shaban-Nejad, PhD, MPH (Co-chair), The University of Tennessee Health Science Center Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics; Simone Bianco, PhD (Co-chair), IBM Almaden Research Center; Szymon Wilk, PhD, Poznan University of Technology; David L. Buckeridge, MD, PhD, McGill University; John S. Brownstein, PhD, Boston Childrens Hospital, Workshop URL:http://w3phiai2022.w3phi.com/. [slides] SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. "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. 2022. While classical security vulnerabilities are relevant, ML techniques have additional weaknesses, some already known (e.g., sensitivity to training data manipulation), and some yet to be discovered. sup-port vector machine (SVM), decision tree, random forest, etc.) These abrupt changes impacted the environmental assumptions used by AI/ML systems and their corresponding input data patterns. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. 17th International Workshop on Mining and Learning with Graphs. Feature Constrained Multi-Task Learnings for Event Forecasting in Social Media." All extended abstracts and full papers are to be presented at the poster sessions. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Submissions should follow the AAAI 2022 formatting guidelines and the AAAI 2022 standards for double-blind review including anonymous submission. ML4OR is a one-day workshop consisting of a mix of events: multiple invited talks by recognized speakers from both OR and ML covering central theoretical, algorithmic, and practical challenges at this intersection; a number of technical sessions where researchers briefly present their accepted papers; a virtual poster session for accepted papers and abstracts; a panel discussion with speakers from academia and industry focusing on the state of the field and promising avenues for future research; an educational session on best practices for incorporating ML in advanced OR courses including open software and data, learning outcomes, etc.