963-971, Apr-May 2015. Liang Zhao, Olga Gkountouna, and Dieter Pfoser. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. Submissions of technical papers can be up to 7 pages excluding references and appendices. KDD 2023 August 06-10, 2023. An Invertible Graph Diffusion Model for Source Localization. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. The submissions need to be anonymized. job seekers, employers, recruiters and job agents. Attendance is open to all. In addition, any other work on dialog research is welcome to the general technical track. For research track papers and applied data science track papers. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. Deep Learning models are at the core of research in Artificial Intelligence research today. We will accept the extended abstracts of the relevant and recently published work too. This website uses cookies to improve your experience while you navigate through the website. Rather than studying robustness with respect to particular ML algorithms, our approach will be to explore robustness assurance at the system architecture level, during both development and deployment, and within the human-machine teaming context. Knowledge Discovery and Data Mining. Spatio-temporal Event Forecasting Using Incremental Multi-source Feature Learning. . Yanfang Ye, Yiming Zhang, Yujie Fan, Chuan Shi and Liang Zhao. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. Pourya Hoseinip, Liang Zhao, and Amarda Shehu. All accepted papers will be archived on the workshop website, but there will not be formal proceedings. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. 2022. Jinliang Ding, Liang Zhao, Changxin Liu, and Tianyou Chai. With this in mind, we welcome relevant contributions on the following (and related) topic areas: The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. 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. DOI:https://doi.org/10.1145/3339823. First, large data sources, both conventionally used in social sciences (EHRs, health claims, credit card use, college attendance records) and unconventional (social networks, fitness apps), are now available, and are increasingly used to personalize interventions. 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. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. Proceedings of the IEEE (impact factor: 9.237), vol. Short or position papers of up to 4 pages are also welcome. Countdowns to conference deadlines in the field of autonomous driving. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. The academic session will focus on most recent research developments on GNNs in various application domains. "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design", 28th International Conference on Field Programmable Logic and Applications (FPL 2019), (acceptance rate: 18%), Barcelona, Spain, accepted. Chen Ling, Carl Yang, Liang Zhao. Attendance is open to all registered participants. Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci. Online and Distributed Robust Regressions with Extremely Noisy Labels. Performance characterization of AI algorithms and systems under bias and scarcity. We hope this will help bring the communities of data mining and visualization more closely connected. 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. Call for Participation The 3rd KDD Workshop on Data-driven Humanitarian Mapping and Policymaking solicits research papers, case studies, vision papers, software demos, and extended abstracts. 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. 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. Guangji Bai and Liang Zhao. We welcome attendance from individuals who do not have something theyd like to submit but who are interested in RL4ED research. IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 24.31), accepted. SIGMOD 2022 adheres to the ACM Policy Against Harassment. References will not count towards the page limit. Small Molecule Generation via Disentangled Representation Learning. Lyle Unga (University of Pennsylvania, ungar@cis.upenn.edu), Rahul Ladhania* (University of Michigan, ladhania@umich.edu, primary contact), Linnea Gandhi (University of Pennsylvania, lgandhi@wharton.upenn.edu), Michael Sobolev (Cornell Tech, michael.sobolev@cornell.edu), Supplemental workshop site:https://ai4bc.github.io/ai4bc22/, For any questions, please reach out to us at ai4behaviorchange at gmail dot com. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Application fees are not refundable. We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. Apr 25th through Fri the 29th, 2022. . Additionally, adversaries continue to develop new attacks. Merge remote-tracking branch 'origin/master', 2. [slides] Xiaojie Guo, Yuanqi Du, Liang Zhao. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. Hence, AI methods are required to understand and protect the cyber domain. 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. Short or position papers of up to 4 pages are also welcome. All submissions must be original contributions and will be peer reviewed, single-blinded. Roco Mercado, Massachusetts Institute of Technology. We will receive the paper on the CMT system. [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. Dataset(s) will be provided to hack-a-thon participants. The cookies is used to store the user consent for the cookies in the category "Necessary". The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. 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. The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. 12 (2014): 90-94. Objectives of ADAM include outlining the main research challenges in this area, cross-pollinating collaborations between AI researchers and domain experts in engineering design and manufacturing, and sketching open problems of common interest. Submissions may consist of up to 4 pages plus one additional page solely for references. Summer. Check the CFP for details Deadline: ICDM 2020 . Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. 1059-1072, May 1 2017. [Best Paper Candidate], Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao. To view them in conference website timezones, click on them. Topics include, but our not limited to: learning optimization models from data, constraint and objective learning, AutoAI, especially if combined with decision optimization models or environments, AutoRL, incorporating the inaccuracy of the automatically learnt models in the decision making process, and using machine learning to efficiently solve combinatorial optimization models. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. Although textual data is prevalent in a large amount of finance-related business problems, we also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc. Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. Xiaojie Guo, Yuanqi Du, Liang Zhao. Yuyang Gao and Liang Zhao. 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. 10, pp. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. [Bests of ICDM]. Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities.
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