However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. [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. Integration of Deep learning and Constraint programming. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. Expected attendance is 40-50 people. Panel discussion: Interactive Q&A session with a panel of leading researchers. CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. Detailed information could be found on the website of the workshop. Positive applications of adversarial ML, i.e., adversarial for good. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. This date takes priority over those shown below and could be extended for some programs. iCal Outlook robotics 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. The goal of this workshop is to bring together the causal inference, artificial intelligence, and behavior science communities, gathering insights from each of these fields to facilitate collaboration and adaptation of theoretical and domain-specific knowledge amongst them. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? The final schedule will be available in November. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. We encourage all the teams who participated in the challenge to join the workshop. Performance characterization of AI algorithms and systems under bias and scarcity. All papers must be submitted in PDF format, using the AAAI-22 author kit. ISPRS International Journal of Geo-Information (IJGI), (impact factor: 1.502), 5.10 (2016): 193. Rupinder Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik Smith, Christopher Adams and Naren Ramakrishnan. The official dates for submitting an application are detailed below, but see the exact deadline posted on the Description Page for the program of study. December, 09-12, 2022. In decision-making domains as wide-ranging as medication adherence, vaccination uptakes, college enrollment, retirement savings, and energy consumption, behavioral interventions have been shown to encourage people towards making better choices. After the submission deadline, the names and order of authors cannot be changed. We invite novel contributions following the AAAI-22 formatting guidelines, camera-ready style. Options include pruning a trained network or training many networks automatically. No supplement is allowed for extended abstracts. Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. Each paper will be reviewed by three reviewers in double-blind. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. The consideration and experience of adversarial ML from industry and policy making. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. Long talks (50 mins):Gabriel Peyr, (Mathematics, CNRS Senior Researcher);Yusu Wang, (Mathematics, Professor in CSE, UCSD);Caroline Uhler, (Statistics and CS, Associate Professor in EECS and IDSS, MIT); Short talks (25mins):Titouan Vayer, (Mathematics, Postdoctoral Researcher at ENS Lyon);Tam Le, (Computer Science, Research Scientist at RIKEN);Dixin Luo, (Computer Science, Assistant Professor in CS, Beijing Institute of Technology). 2, no. Registration Opens: Feb 02 '22 02:00 PM UTC: Registration Cancellation Refund Deadline: Apr 18 '22(Anywhere on Earth) Paper Submissions Abstract Submission Deadline: Sep 29 '21 12:00 AM UTC: Paper Submission deadline: Oct 06 '21 12:00 AM . SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. Attendance is open to all prior registration to the workshop/conference. 2022. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. The trained models are intended to assign scores to novel utterances, assessing whether they are possible or likely utterances in the training language. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Disease Contact Network. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. Full papers: Submissions must represent original material that has not appeared elsewhere for publication and that is not under review for another refereed publication. 12 (2014): 90-94. 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/. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond. All the submissions should be anonymous. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena et al. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons second headquarter, New initiatives at KDD 2022: undergraduate research and poster session, Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel, Workshops and hands-on tutorials on emerging topics. July 21: Clarified that the workshop this year will be held in-person. At least one author of each accepted submission must present the paper at the workshop. Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. Topics of interest include but are not limited to: (1) Survey papers summarizing recent advances in RL with applicability to ED; (2) Developing toolkits and datasets for applying RL methods to ED; (3) Using RL for online evaluation and A/B testing of different intervention strategies in ED; (4) Novel applications of RL for ED problem settings; (5) Using pedagogical theories to narrow the policy space of RL methods; (6) Using RL methodology as a computational model of students in open-ended domains; (7) Developing novel offline RL methods that can efficiently leverage historical student data; (8) Combining statistical power of RL with symbolic reasoning to ensure the robustness for ED. 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. This cookie is set by GDPR Cookie Consent plugin. to protect data owner privacy in FL. Saliency-Augmented Memory Completion for Continual Learning. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. For example, AI tools are built to ease the workload for teachers. Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, live streams, meeting recordings, vlogs. Papers must be in PDF format, in English, and formatted according to the AAAI template. 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. Submissions that do not meet the formatting requirements will be rejected without review. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . For questions on submission and the workshop, please send email through the following link: Track 1: Tony Qin (Lyft), Rui Song (NC State & Amazon), Hongtu Zhu (UNC), Michael Jordan (Berkeley), Track 2: Liangjie Hong (LinkedIn), Mohammed Korayem (CareerBuilder), Haiyan Luo (Indeed). ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. 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. 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). This cookie is set by GDPR Cookie Consent plugin. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Deep Generative Model for Periodic Graphs. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. Undergraduate (bachelor's, certificate, etc. The topics for AIBSD 2022 include, but are not limited to: This one-day workshop will include invited talks from keynote speakers, and oral/spotlight presentations of the accepted papers. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. Multilingual document understanding methods and frameworks. An increasing world population, coupled with finite arable land, changing diets, and the growing expense of agricultural inputs, is poised to stretch our agricultural systems to their limits. In other words, many existing FL solutions are still exposed to various security and privacy threats. Some will be selected for spotlight talks, and some for the poster session. Knowledge representation for business documents. The financial services industry relies heavily on AI and Machine Learning solutions across all business functions and services. [Best Paper Candidate]. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. Online. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. 2020. KDD 2023 August 06-10, 2023. The deep learning community must often confront serious time and hardware constraints from suboptimal architectural decisions. Note: This is the inaugural event of a conference dedicated to Graph Machine Learning. RLG is a full-day workshop. Securing personal information, genomics, and intellectual property, Adversarial attacks and defenses on biomedical datasets, Detecting and preventing spread of misinformation, Usable security and privacy for digital health information, Phishing and other attacks using health information, Novel use of biometrics to enhance security, Machine learning (including RL) security and resiliency, Automation of data labeling and ML techniques, Operational and commercial applications of AI, Explanations of security decisions and vulnerability of explanations. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. Deep Spatial Domain Generalization. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). 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. Welcome to the home of the 2023 ACM SIGMOD/PODS Conference, to be held in the Seattle metropolitan area, Washington, USA, on June 18 - June 23, 2023. 27, 2022: Please check out Speical Days at, Apr. All submissions must be original contributions and will be peer reviewed, single-blinded. 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. The cookie is used to store the user consent for the cookies in the category "Other. Recently self-supervised approaches for speech/audio processing are also gaining attention. "STED: semi-supervised targeted-interest event detectionin in twitter." Kyoto . AI System Robustness: participants will consider techniques for detecting and mitigating vulnerabilities at each of the processing stages of an AI system, including: the input stage of sensing and measurement, the data conditioning stage, during training and application of machine learning algorithms, the human-machine teaming stage, and during operational use. 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. We also welcome submissions that are currently under consideration in such archival venues. In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. Deep Graph Translation. It provides an international forum . Deadline: FSE 2023. Using a social media account will simply make the application process easier: none of your activities on this site will be posted to your profile. ADMM for Efficient Deep Learning with Global Convergence. Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia and Charu Aggarwal, "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. 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. ACM, New York, NY, USA, 10 pages. By entering your email, you consent to receive communications from UdeM. DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. Jinliang Ding, Liang Zhao, Changxin Liu, and Tianyou Chai. Its capabilities have expanded from processing structured data (e.g. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. There will be about 60~85 people to participate, including the program committee, invited speakers, panelists, authors of accepted papers, winners of the competition and other interested people. However, most models and AI systems are built with conservative operating environment assumptions due to regulatory compliance concerns. Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. Apr 25th through Fri the 29th, 2022. . 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. 47, no. 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. Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. Checklist for Revising a SIGKDD Data Mining Paper: GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. 2022. : ML4OR will place particular emphasis on: (1) ML methodologies for enhancing traditional OR algorithms for integer programming, combinatorial optimization, stochastic programming, multi-objective optimization, location and routing problems, etc. Topics of interest in the biomedical space include: Topics of general interest to cyber-security include: Submission site:https://easychair.org/conferences/?conf=aics22, Tamara Broderick (MIT CSAIL, tamarab@mit.edu), James Holt (Laboratory for Physical Sciences, USA, holt@lps.umd.edu), Edward Raff (Booz Allen Hamilton, USA, Raff_Edward@bah.com), Ahmad Ridley (National Security Agency), Dennis Ross (MIT Lincoln Laboratory, USA, dennis.ross@ll.mit.edu), Arunesh Sinha (Singapore Management University, Singapore, aruneshs@smu.edu.sg), Diane Staheli (MIT Lincoln Laboratory, USA, diane.staheli@ll.mit.edu), William W. Streilein (MIT Lincoln Laboratory, USA, wws@ll.mit.edu), Milind Tambe (Harvard University, USA, milind_tambe@harvard.edu), Yevgeniy Vorobeychik (Washington University in Saint Louis, USA, eug.vorobey@gmail.com) Allan Wollaber (MIT Lincoln Laboratory, USA, Allan.Wollaber@ll.mit.edu), Supplemental workshop site:http://aics.site/. 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). Submissions of technical papers can be up to 7 pages excluding references and appendices. : 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. "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. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. Accepted submissions will have the option of being posted online on the workshop website. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2013), demo track, pp. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. Event Prediction in the Big Data Era: A Systematic Survey. 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. 8 pages), short (max. "Online and Distributed Robust Regressions under Adversarial Data Corruption", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. Three specific roles are part of this format: session chairs, presenters and paper discussants. Motif-guided Heterogeneous Graph Deep Generation. Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao. 689-698, Barcelona, Spain, Dec 2016. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to their complex formats and structures, internal and external cross references deployed, quality of scans and OCR performed, and many domains of knowledge involved. The Institute for Operations Research and the Management Sciences, [Submission deadline extended, June 3] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, We are excited to announce our upcoming workshop at. Please email to Lingfei Wu: lwu@email.wm.edu for any query. Submissions of technical papers can be up to 7 pages excluding references and appendices. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. Complex systems are often characterized by several components that interact in multiple ways among each other. The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. Innovation, Service, and Rising Star Awards. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. All submissions must be anonymous and conform to AAAI standards for double-blind review. Time Series Clustering in Linear Time Complexity. We invite submission of papers describing innovative research and applications around the following topics. For each accepted paper, at least one author must attend the workshop and present the paper. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Participation of researchers from a wide variety of areas is encouraged, including Data Science, Machine Learning, Symbolic AI, Mathematical programming, Constraint Optimization, Reinforcement Learning, Dynamic control and Operations Research. ML4OR will serve as an interdisciplinary forum for researchers in both fields to discuss technical issues at this interface and present ML approaches that apply to basic OR building blocks (e.g., integer programming solvers) or specific applications.
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