The format is the standard double-column AAAI Proceedings Style. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, and Naren Ramakrishnan. 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. The PAKDD is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. We invite submissions of technical papers up to 7 pages excluding references and appendices. 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. 40, no. Yanfang Ye, Yiming Zhang, Yujie Fan, Chuan Shi and Liang Zhao. A striking feature of much of this recent work is the application of new theoretical and computational techniques for comparing probability distributions defined on spaces with complex structures, such as graphs, Riemannian manifolds and more general metric spaces. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. 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. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? The eligibility criteria for attending the workshop will be registration in the conference/workshop as per AAAI norms. 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. The positive/negative social impacts and ethical issues related to adversarial ML. We accept two types of submissions full research paper no longer than 8 pages (including references) and short/poster paper with 2-4 pages. : Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Submission site:https://cmt3.research.microsoft.com/AAAI2022HCSSL/Submission/Index, Ali Etemad (Queens University, ali.etemad@queensu.ca), Ali Etemad (Queens University, ali.etemad@queensu.ca), Ahmad Beirami (Facebook AI, ahmad.beirami@gmail.com), Akane Sano (Rice University, akane.sano@rice.edu), Aaqib Saeed (Philips Research & University of Cambridge, aqibsaeed@protonmail.com), Alireza Sepas-Moghaddam (Socure, alireza.sepasm@socure.com), Mathilde Caron (Inria & Facebook AI, mathilde@fb.com), Pritam Sarkar (Queens University & Vector Institute, pritam.sarkar@queensu.ca), Huiyuan Yang (Rice University, hy48@rice.edu), Supplemental website:https://hcssl.github.io/AAAI-22/. and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. "EMBERS at 4 years:Experiences operating an Open Source Indicators Forecasting System." to protect data owner privacy in FL. The AAAI-22 workshop program includes 39 workshops covering a wide range of topics in artificial intelligence. The excellent papers will be recommended for publications in SCI or EI journals. We solicit papers describing significant and innovative research and applications to the field of job marketplaces. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. 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. You signed in with another tab or window. While the research community is converging on robust solutions for individual AI models in specific scenarios, the problem of evaluating and assuring the robustness of an AI system across its entire life cycle is much more complex. 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. 4 pages), and position (max. Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. The post-lunch session will feature a second keynote talk, two invited talks. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. At the AAAI-22 Workshop on Scientific Document Understanding (SDU@AAAI-22), we aim to gather insights into the recent advances and remaining challenges on scientific document understanding. 14, 2022: The information of Keynote Speakers is available at, Apr. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. By clicking Accept All, you consent to the use of ALL the cookies. Novel ML methods in the computational material and physical sciences. Detailed information could be found on the website of the workshop. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization. Authors are invited to send a contribution in the AAAI-22 proceedings format. Integration of AI-based approaches with engineering prototyping and manufacturing. This AAAI-22 workshop on AI for Decision Optimization (AI4DO) will explore how AI can be used to significantly simplify the creation of efficient production level optimization models, thereby enabling their much wider application and resulting business values.The desired outcome of this workshop is to drive forward research and seed collaborations in this area by bringing together machine learning and decision-making from the lens of both dynamic and static optimization models. Like other systems, ML systems must meet quality requirements. VDS@VIS Submission Deadline:Thur., July 14th, 2022, 5:00 pm PDT, VDS@VIS Author Notification:Thur., August 25th, 2022, 5:00 pm PDT, VDS@KDD Submission Deadline:Thur., May 26th June 2nd, 2022, 5:00 pm PDT, VDS@KDD Author Notification:Mon., June 20th, 2022, 5:00 pm PDT. Public health authorities and researchers collect data from many sources and analyze these data together to estimate the incidence and prevalence of different health conditions, as well as related risk factors. References will not count towards the page limit. Note: This is the inaugural event of a conference dedicated to Graph Machine Learning. Accepted submissions will be notified latest by August 7th, 2022. IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.255), accepted. For program deadlines, click on the Admissions and Regulations tab on the specific page of study. The goal of the inaugural HC-SSL workshop is to highlight and facilitate discussions in this area and expose the attendees to emerging potentials of SSL for human-centric representation learning, and promote responsible AI within the context of SSL. search, ranking, recommendation, and personalization. Both the research papers track and the applied data science papers track will take . These choices can only be analyzed holistically if the technological and ethical perspectives are integrated into the engineering problem, while considering both the theoretical and practical challenges of AI safety. It is expected that one of the authors of accepted contributions will register and attend the workshop to present the work in video in-person in the workshops Paper Sessions. May 8, 2022: Student Travel Awards announcement is, Apr. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. The submitted contributions will be peer-reviewed by the Program Committee, and preference will be given to high-quality original and relevant work to the Document Intelligence topics. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. This one-day workshop will consist of: (1) an ice-breaking session, (2) paper presentations, (3) a poster session, and (4) an ideation brainstorming session. 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. All deadlines are at 11:59 PM anytime in the world. 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. 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. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. The desired LENGTH of the workshop: Full-day (~8 hours). We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. 9, no. July 22: The workshop Programis up! Algorithms and theories for explainable and interpretable AI models. Options include pruning a trained network or training many networks automatically. 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. 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. To provide proper alerts and timely response, public health officials and researchers systematically gather news and other reports about suspected disease outbreaks, bioterrorism, and other events of potential international public health concern, from a wide range of formal and informal sources. 2020. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. All time are 23:59, AoE (Anywhere on Earth), Hongteng Xu (Renmin University of China, hongtengxu@ruc.edu.cn, main contact), Julie Delon (Universit de Paris, julie.delon@u-paris.fr), Facundo Mmoli (Ohio State University, facundo.memoli@gmail.com), Tom Needham (Florida State University, tneedham@fsu.edu). KDD is the premier Data Science conference. An Invertible Graph Diffusion Model for Source Localization. Please note that foreign students must allow for 3 to 6 months to complete all the formalities required to study in Canada. The Conference. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. KDD 2022. 963-971, Apr-May 2015. We received 38 paper submissions and accepted 23 of them. "How events unfold: spatiotemporal mining in social media." Submissions should be formatted using the AAAI-2022 Author Kit. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Short or position papers of up to 4 pages are also welcome. Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. Data mining systems and platforms, and their efficiency, scalability, security and privacy. Notable examples include the information bottleneck (IB) approach on the explanation of the generalization behavior of DNNs and the information maximization principle in visual representation learning. Some good examples include recommender systems, clustering, graph mining, 27, 2022: Please check out Speical Days at, Apr. Typically, we receive around 40~60 submissions to each previous workshop. We expect 60-70 participants. Any participant who experiences unacceptable behavior may contact any current member of the SIGMOD Executive Committee, the PODS Executive Committee, DBCares, or this year's D&I co-chairs Pnar Tzn (pito@itu.dk) and Renata Borovica-Gajic (renata.borovica@unimelb.edu.au). 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! Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. fact-checking. All papers will be peer reviewed, single-blinded. Interpretable Molecular Graph Generation via Monotonic Constraints. Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment. Poster/short/position papers submission deadline: Nov 5, 2021Full paper submission deadline: Nov 5, 2021Paper notification: Dec 3, 2021. 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. Shiyu Wang, Xiaojie Guo, Liang Zhao. 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. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. 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. All questions about submissions should be emailed to nurendra@vt.edu, AmazonKDDCup2022: KDD Cup 2022 Workshop: ESCI Challenge for Improving Product Search, Washington DC, DC, United States, August 17, 2022, https://easychair.org/conferences/?conf=amazonkddcup2022, https://www.acm.org/publications/proceedings-template. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). For example, AI tools are built to ease the workload for teachers. Online . 11-13. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. Online Flu Epidemiological Deep Modeling on Linguistic analysis of business documents. 2022. SDU is expected to host 50-60 attendees. Kyoto . Papers will be submitted electronically using Easychair. Apr 25th through Fri the 29th, 2022. . We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. "Robust Regression via Heuristic Hard Thresholding". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Attendance is open to all, subject to any room occupancy constraints. For research track papers and applied data science track papers. URL: https://sites.google.com/view/kdd22onlinemarketplaces Call For Papers (Submission deadline: June3, 2022) 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. ), Graduate (master's, specialized graduate diploma (DESS), etc. robust and interpretable natural language processing for healthcare. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. A new and comprehensive view of AI Safety must cover a wide range of AI paradigms, including systems that are application-specific as well as those that are more general, considering potentially unanticipated risks. Position papers (4 pages in length for main content + 2 pages for references in AAAI format): we are seeking position papers that advocate for a particular approach or set of approaches, or present an overview of a promising relevant research area. Scott E. Fahlman, School of Computer Science, Carnegie Mellon University (sef@cs.cmu.edu), Edouard Oyallon, Sorbonne Universit LIP6 (Edouard.oyallon@lip6.fr), Dean Alderucci, School of Computer Science, Carnegie Mellon University, (dalderuc@cs.cmu.edu). In addition, any other work on dialog research is welcome to the general technical track. 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. Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. Deep Spatial Domain Generalization. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! ACM Transactions on Spatial Algorithms and Systems (TSAS), 5, 3, Article 19 (September 2019), 28 pages. Inspired by the question, there is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks. Key obstacles include lack of high-quality data, difficulty in embedding complex scientific and engineering knowledge in learning, and the need for high-dimensional design space exploration under constrained budgets. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Full (8 pages) and short (4 pages, work in progress) papers, AAAI style. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . Deadline: FSE 2023. The workshop organizers invite paper submissions on the following (and related) topics: This workshop will be a one-day workshop, featuring invited speakers, poster presentations, and short oral presentations of selected accepted papers. job seekers, employers, recruiters and job agents. Dr. Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. Paper Submission:November 12, 2021, 11:59 pm (anywhere on earth) Author Notification: December 3, 2021Full conference:February 22 March 1, 2022Workshop:February 28 March 1, 2022. Deep Geometric Neural Networks for Spatial Interpolation. 12 (2014): 90-94. The workshop follows a single-blind reviewing process. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. 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. We expect 50-65 people in the workshop. [Call for papers] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, CFP: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems Workshop, Second Workshop on Marketplace Innovation. 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. 507-516, Singapore, Nov 2017. The study of complex graphs is a highly interdisciplinary field that aims to study complex systems by using mathematical models, physical laws, inference and learning algorithms, etc. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. We will accept both original papers up to 8 pages in length (including references) as well as position papers and papers covering work in progress up to 4 pages in length (not including references).Submission will be through Easychair at the AAAI-22 Workshop AI4DO submission site, Professor Bistra Dilkina (dilkina@usc.edu), USC and Dr. Segev Wasserkrug, (segevw@il.ibm.com), IBM Research, Prof. Andrea Lodi (andrea.lodi@cornell.edu), Jacobs Technion-Cornell Institute IIT and Dr. Dharmashankar Subrmanian (dharmash@us.ibm.com), IBM Research. The industry session will emphasize practical industrial product developments using GNNs. Submission link:https://easychair.org/cfp/raisa-2022, William Streilein, MIT Lincoln Laboratory, 244 Wood St., Lexington, MA, 02420, (781) 981-7200, wws@ll.mit.edu, Olivia Brown (MIT Lincoln Laboratory, Olivia.Brown@ll.mit.edu), Rajmonda Caceres (MIT Lincoln Laboratory, Rajmonda.Caceres@ll.mit.edu), Tina Eliassi-Rad (Northeastern University, teliassirad@northeastern.edu), David Martinez (MIT Lincoln Laboratory, dmartinez@ll.mit.edu), Sanjeev Mohindra (MIT Lincoln Laboratory, smohindra@ll.mit.edu), Elham Tabassi (National Institute of Standards and Technology, elham.tabassi@nist.gov), Workshop URL:https://sites.google.com/view/raisa-2022/. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. AI for infrastructure management and congestion. Realizing the vision of Document Intelligence remains a research challenge that requires a multi-disciplinary perspective spanning not only natural language processing and understanding, but also computer vision, layout understanding, knowledge representation and reasoning, data mining, knowledge discovery, information retrieval, and more all of which have been profoundly impacted and advanced by deep learning in the last few years. . Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. ASPLOS 2023 will be moving to three submission deadlines. Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. Brave new ideas to learn AI models under bias and scarcity. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. Previously published work (or under-review) is acceptable. Registration information will be mailed directly to all invited participants in December. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. Sign-regularized multi-task learning. Data Mining Conference Acceptance Rate. 3434-3440, Melbourne, Australia, Aug 2017. 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. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. Representation learning, distributed representations learning and encoding in natural language processing for financial documents; Synthetic or genuine financial datasets and benchmarking baseline models; Transfer learning application on financial data, knowledge distillation as a method for compression of pre-trained models or adaptation to financial datasets; Search and question answering systems designed for financial corpora; Named-entity disambiguation, recognition, relationship discovery, ontology learning and extraction in financial documents; Knowledge alignment and integration from heterogeneous data; Using multi-modal data in knowledge discovery for financial applications; Data acquisition, augmentation, feature engineering, and analysis for investment and risk management; Automatic data extraction from financial fillings and quality verification; Event discovery from alternative data and impact on organization equity price; AI systems for relationship extraction and risk assessment from legal documents; Accounting for Black-Swan events in knowledge discovery methods.
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