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the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. Jos Miguel Hernndez-Lobato, University of CambridgeProf. 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. "A Topic-focused Trust Model for Twitter." We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Papers more suited for a poster, rather than a presentation, would be invited for a poster session. search, ranking, recommendation, and personalization. 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. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Submissions will be collected via the OpenReview platform; URL forthcoming on the Workshop website. The workshop attracted about 100 attendees. The third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) builds on the success of previous years PPAI-20 and PPAI-21 to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. Publication in HC-SSL does not prohibit authors from publishing their papers in archival venues such as NeurIPS/ICLR/ICML or IEEE/ACM Conferences and Journals. Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. For further information, please have a look at the call for contributions. 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. Online Flu Epidemiological Deep Modeling on If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. Saliency-Augmented Memory Completion for Continual Learning. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. Submitting a short or long paper to VDS will give authors a chance to present at VDS events at both ACM KDD 2022(hybrid) and IEEE VIS 2022( hybrid). KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. Data Mining Conferences - GitHub Workshop Date: Sunday August 14, 2022 EDT. [Best Poster Runner-Up Award]. These cookies will be stored in your browser only with your consent. We will end the workshop with a panel discussion by top researchers in the field. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. In addition, several invited speakers with distinguished professional background will give talks related the frontier topics of GNN. Lastly, learning joint modalities is of interest to both Natural Language Processing (NLP) and Computer Vision (CV) forums. The program consists of poster sessions for accepted papers, and invited and spotlight talks. Oilers Outperform Division Rivals at 2023 Trade Deadline However, the performance and efficiency of these techniques are big challenges for performing real-time applications. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. Identification of key challenges and opportunities for future research. Attendance is open to all registered participants. I recommend highly motivated students to reach out to me way earlier than the admission deadline, and figure out a research project project with me, with the goal of a publication. "Knowledge-enhanced Neural Machine Reasoning: A Review." 639-648, Nov 2015. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. All these changes require novel solutions, and the AI community is well-positioned to provide both theoretical- and application-based methods and frameworks. information bottleneck principle). GNES: Learning to Explain Graph Neural Networks. Attendance is open to all, subject to any room occupancy constraints. Thirty-First AAAI Conference on Artificial Intelligence, pp. 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. It further combines academia and industry in a quest for well-founded practical solutions. This cookie is set by GDPR Cookie Consent plugin. World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. Recently developed tools and cutting-edge methodologies coming from the theory of optimal transport have proved to be particularly successful for these tasks. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The main research questions and topics of interest include, but are not limited to: This will be a one day workshop, including four invited speakers, one panel session, a number of oral presentations of the accepted long papers and two poster sessions for all accepted papers including short and long. Fang Jin, Wei Wang, Liang Zhao, Edward Dougherty, Yang Cao, Chang-Tien Lu, and Naren Ramakrishnan. Hence, there is a need for research and practical solutions to ML security problems.With these in mind, this workshop solicits original contributions addressing problems and solutions related to dependability, quality assurance and security of ML systems. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery - WikiCFP San Francisco, USA . The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering Safety as a design principle rather than an option. Microsoft Research CMT: https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/ or https://aka.ms/di-2022, Workshop registration will be processed with the main KDD 2022 conference: https://kdd.org/kdd2022/, Standard ACM Conference Proceedings Template, Conflict of Interest Policy for ACM Publications, https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/, Second Document Intelligence Workshop @ KDD 2021, First Document Intelligence Workshop @ NeurIPS 2019, Hamid Motahari, Nigel Duffy, Paul Bennett, and Tania Bedrax-Weiss. Self-supervised learning utilizes proxy supervised learning tasks, for example, distinguishing parts of the input signal from distractors, or generating masked input segments conditioned on the unmasked ones, to obtain training data from unlabeled corpora. KDD 2023 August 06-10, 2023. Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, and Liang Zhao. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. Applications of causal inference and discovery in machine learning/deep learning motivated by information-theoretic approaches (e.g. This cookie is set by GDPR Cookie Consent plugin. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena et al. Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. One recommended setting for Latex file is:\documentclass[sigconf, review]{acmart}. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. The extraction, representation, and sharing of health data, patient preference elicitation, personalization of generic therapy plans, adaptation to care environments and available health expertise, and making medical information accessible to patients are some of the relevant problems in need of AI-based solutions. Deep Graph Learning for Circuit Deobfuscation. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. Papers will be submitted electronically using Easychair. This workshop aims to discuss important topics about adversarial ML to deepen our understanding of ML models in adversarial environments and build reliable ML systems in the real world. Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. Liang Gou, Bosch Research (IEEE VIS liaison), Claudia Plant, University of Vienna (KDD liaison), Alvitta Ottley, Washington University, St. Louis, Junming Shao, University of Electronic Science and Technology of China, Visualization in Data Science (VDS at ACM KDD and IEEE VIS), Visualization in Data Science (VDS at ACM KDD and IEEE VIS). KDD 2022 | Washington DC, U.S. Previously published work (or under-review) is acceptable. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. 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. 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. 3, pp. ACM Transactions on Spatial Algorithms and Systems (TSAS), accepted. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Papers will be peer-reviewed and selected for spotlight and/or poster presentation. How to do good research, Get it published in SIGKDD and get it cited! Topics of interest include, but are not limited to: Paper submissions will be in two formats: full paper (8 pages) and position paper (4 pages): The submission website ishttps://easychair.org/conferences/?conf=trase2022. This manual extraction process is usually inefficient, error-prone, and inconsistent. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). You can optionally export all deadlines to Google Calendar or .ics . 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. 4 pages), and position (max. Performance characterization of AI algorithms and systems under bias and scarcity. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Manuscripts must be submitted as PDF files viaEasyChair online submission system. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. We encourage all the teams who participated in the challenge to join the workshop. The workshop follows a single-blind reviewing process. How can we engineer trustable AI software architectures? Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. 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. Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, and Liang Zhao. Some specific topics in the context of scientific discovery and engineering design include (but not limited to): This will be a one day workshop with a number of paper presentations and poster spotlights, a poster session, several invited talks, and a panel discussion. "Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning." 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. The 11th International Conference on Learning Representations (ICLR 2023), accepted. Can AI achieve the same goal without much low-level supervision? KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP [Best Paper Award Shortlist]. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. July 22: The workshop Programis up! ASPLOS 2023 will be moving to three submission deadlines. 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 . 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. What are the primary lessons learned from the model failures? To facilitate KDD related research, we create this repository with: *ICDM has two tracks (regular paper track and short paper track), but the exact statistic is not released, e.g., the split between these two tracks. Novel algorithmic solutions to causal inference or discovery problems using information-theoretic tools or assumptions. job seekers, employers, recruiters and job agents. May 8, 2022: Student Travel Awards announcement is, Apr. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. We cordially welcome researchers, practitioners, and students from academia and industry who are interested in understanding and discussing how data scarcity and bias can be addressed in AI to participate. 29, no. All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. SIAM International Conference on Data Mining (SDM 2022), (Acceptance Rate: 26%), accepted. 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/. We encourage long papers, short papers and demo papers. Finally, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao. Novel ML methods in the computational material and physical sciences. Rex Ying's Personal Website KDD 2022 KDD . Published March 4, 2023 4:51 a.m. PST. Integrated syntax and semantic approaches for document understanding. This workshop will follow a dual-track format. Three specific roles are part of this format: session chairs, presenters and paper discussants. Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples. SIGKDD Explorations, Vol. 2022. Welcome to the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2022), which will be held in Chengdu, China on May 16-19, 2022. [Best Paper Award]. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. RLG is a full-day workshop. This thread already has a best answer. We will accept the extended abstracts of the relevant and recently published work too. 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. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Other submissions will be evaluated by a committee based on their novelty and insights. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. The fundamental mechanism of an online marketplace is to match supply and demand to generate transactions, with objectives considering service quality, participants experience, financial and operational efficiency. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. NOTE: Mandatory abstract deadline on Oct 13, 2022. We invite the submission of papers with 4-6 pages. Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao. Interpretable Deep Graph Generation with Node-edge Codisentanglement. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. of Graz), Cynthia Rudin (Duke Univ.) Computer Communications, (impact factor: 3.34), Elsevier, vo. However, most models and AI systems are built with conservative operating environment assumptions due to regulatory compliance concerns. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization. In some programs, spots may be available after the deadlines. RAISAs systems-level perspective will be emphasized via three main thrusts: AI threat modeling, AI system robustness, explainable AI, system lifecycle attacks, system verification and validation, robustness benchmarks and standards, robustness to black-box and white-box adversarial attacks, defenses against training, operational and inversion attacks, AI system confidentiality, integrity, and availability, AI system fairness and bias. in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. 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. The submissions must follow the formatting guidelines for AAAI-22. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Continuous V&V and predictability of AI safety properties, Runtime monitoring and (self-)adaptation of AI safety, Accountability, responsibility and liability of AI-based systems, Avoiding negative side effects in AI-based systems, Role and effectiveness of oversight: corrigibility and interruptibility, Loss of values and the catastrophic forgetting problem, Confidence, self-esteem and the distributional shift problem, Safety of AGI systems and the role of generality, Self-explanation, self-criticism and the transparency problem, Regulating AI-based systems: safety standards and certification, Human-in-the-loop and the scalable oversight problem, Experiences in AI-based safety-critical systems, including industrial processes, health, automotive systems, robotics, critical infrastructures, among others. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". What approaches emerge in building fundamentally robust and adaptive AI/ML systems? 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. Send this CFP to us by mail: cfp@ourglocal.org. 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. Apr 11-14, 2022. Algorithms and theories for explainable and interpretable AI models. 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, theoreticians and practitioners of AI and Safety are confronted with different levels of safety, different ethical standards and values, and different degrees of liability, that force them to examine a multitude of trade-offs and alternative solutions. How do metrics of capability and generality, and the trade-offs with performance affect safety? Submissions are due by 12 November 2021. Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. Kaiqun Fu, Taoran Ji, Liang Zhao, and Chang-Tien Lu. Ourprevious workshop at AAAI-21generated significant interest from the community. Poster/short/position papers submission deadline: Nov 5, 2021Full paper submission deadline: Nov 5, 2021Paper notification: Dec 3, 2021. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. Deep Generation of Heterogeneous Networks. KDD 2022. Short papers 10m presentation and 5m discussion. Check the deadlines for submitting your application. 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. Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. Submissions should follow the AAAI-2022https://aaai.org/Conferences/AAAI-22/aaai22call/. "A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. 2999-3006, New Orleans, US, Feb 2018. Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting.Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), (acceptance rate: 16.2%), Hawaii, USA, Feb 2019, accepted. 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/. Attendance is open to all prior registration to the workshop/conference. 5 (2014): 1447-1459. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. 1503-1512, Aug 2015. have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS).

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