10 (2014): e110206. We invite submissions of technical papers up to 7 pages excluding references and appendices. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Onn Shehory, Bar Ilan University (onn.shehory@biu.ac.il), Eitan Farchi, IBM Research Haifa (farchi@il.ibm.com), Guy Barash, Western Digital (Guy.Barash@wdc.com), Supplemental workshop site:https://sites.google.com/view/edsmls-2022/home. Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. Panel discussion: Interactive Q&A session with a panel of leading researchers. Accepted papers are likely to be archived. 2022. By registering, you agree to receive emails from UdeM. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Proceedings of the IEEE (impact factor: 9.237), vol. and deep learning techniques (e.g. 40 attendees including: invited speakers, authors of accepted papers and shared task participants. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. 963-971, Apr-May 2015. Submission instructions will be available at the workshop web page. Our preliminary plan for the schedule is as following , DEFACTIFY@AAAI-22 Program [tentative]9:00AM-9:15AMInaugurationA brief summary of the shared tasks number of participants, best results, Session 1 multimodal fact checkingWorkshop papers 9:30AM 10:30AM, 11:00AM 12:00pmInvited talk 1 Prof. Rada Mihalcea, University of Michigan, Session 2 Best 4/5 papers from FACTIFY & MEMOTION shared taskWorkshop papers 1:00PM 2:00PM, 2:00PM 3:30PMInvited talk 2 Prof. LOUIS-PHILIPPE MORENCY, CMU, Session 2 multimodal hate speechWorkshop papers 4:00PM 5:00PM. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. Kyoto . The submissions must follow the formatting guidelines for AAAI-22. 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. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. Deep Spatial Domain Generalization. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. The workshop page ishttps://sites.google.com/view/aaaiwfs2022, and it will include the most up-to-date information, including the exact schedule. 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/. We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. 4, Roosevelt Rd., Taipei, TaiwanAffiliation: National Taiwan UniversityPhone: +1-412-465-0130Email: yvchen@csie.ntu.edu.tw, Paul CrookAddress: 1 Hacker Way, Menlo Park, CA, USAAffiliation: FacebookPhone: +1-650-885-0094Email: pacrook@fb.com, DSTC 10 home:https://dstc10.dstc.community/homeDSTC 10 CFPs:https://dstc10.dstc.community/calls_1/call-for-workshop-papers. Zheng Zhang and Liang Zhao. Knowledge discovery from various data sources has gained the attention of many practitioners in recent decades. It does not store any personal data. It has gained popularity in some domains such as image classification, speech recognition, smart city, and healthcare. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. Integration of logical inference in training deep models. We hope to build upon that success. San Francisco, USA . Nowadays, machine learning solutions are widely deployed. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. 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/. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. It is one of the key bottlenecks for financial services companies to improve their operating productivity. Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. Combating fake news is one of the burning societal crises. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International There will be live Q&A sessions at the end of each talk and oral presentation. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. Ourprevious workshop at AAAI-21generated significant interest from the community. The academic session will focus on most recent research developments on GNNs in various application domains. 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. Submission Site:https://cmt3.research.microsoft.com/SAS2022, Abdelrahman Mohamed (Facebook, abdo@fb.com), Hung-yi Lee (NTU, hungyilee@ntu.edu.tw), Shinji Watanabe (CMU, shinjiw@ieee.org), Tara Sainath (Google, tsainath@google.com), Karen Livescu (TTIC, klivescu@ttic.edu), Shang-Wen Li (Facebook, shangwel@fb.com), Ewan Dunbar (University of Toronto, ewan.dunbar@utoronto.ca) Emmanuel Dupoux (EHESS/Facebook, dpx@fb.com), Workshop URL:https://aaai-sas-2022.github.io/. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. At AAAI 2021, we successfully organized this workshop (https://taih20.github.io/). Junxiang Wang, Fuxun Yu, Xiang Chen, and Liang Zhao. OARS-KDD2022: KDD 2022 Workshop on Online and Adaptive Recommender Systems Washington DC, DC, United States, August 15, 2022 Topics: data science artificial intelligence recommender system recommendation KDD 2022 Workshop on Online and Adaptive Recommender Systems (OARS) Call For Papers ================== All submissions will be peer-reviewed. In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. 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. 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. A final tribute was paid on Saturday to former Coalition Avenir Qubec (CAQ) minister Nadine Girault, who died of lung cancer last month at age 63 . This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. All submissions must be anonymous and conform to AAAI standard for double-blind review. Saliency-Augmented Memory Completion for Continual Learning. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. 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. Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022) (Acceptance Rate: 23.8%), full paper track, to appear, 2022. The accepted papers are allowed to be submitted to other conference venues. The workshop will be a one-day meeting and will include a number of technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a tutorial talk, and will conclude with a panel discussion. The final schedule will be available in November. We expect ~60 attendees. The desired LENGTH of the workshop: Full-day (~8 hours). Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, live streams, meeting recordings, vlogs. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Online . We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. Registration in each workshop is required by all active participants, and is also open to all interested individuals. 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 general, AI techniques are still not widely adopted in the real world. Modern surveillance systems employ tools and techniques from artificial intelligence and machine learning to monitor direct and indirect signals and indicators of disease activities for early, automatic detection of emerging outbreaks and other health-relevant patterns. Integration of AI-based approaches with engineering prototyping and manufacturing. We are in a conversation with some publishers once they confirm, we will announce accordingly. Submissions should follow the AAAI-2022https://aaai.org/Conferences/AAAI-22/aaai22call/. Merge remote-tracking branch 'origin/master', 2. iDetective: An Intelligent System for Automatic Identification of Key Actors in Online Hack Forums. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. Published March 4, 2023 4:51 a.m. PST. Out of these, around 20~30 papers are accepted. Microsoft's Conference Management Toolkit is a hosted academic conference management system. Optimal transport-based analysis of structured data, such as networks, meshes, sequences, and so on; The applications of optimal transport in molecule analysis, network analysis, natural language processing, computer vision, and bioinformatics. The 21st Web Conference (WWW 2022), (Acceptance Rate: 17.7%), accepted. Submissions are limited to a total of 5 pages for initial submission (up to 6 pages for final camera-ready submission), excluding references or supplementary materials, and authors should only rely on the supplementary material to include minor details that do not fit in the 5 pages. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. These cookies will be stored in your browser only with your consent. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. "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. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. 2, no. It is difficult to expose false claims before they create a lot of damage. The cookie is used to store the user consent for the cookies in the category "Analytics". Poster session: One poster session of all accepted papers which leads for interaction and personal feedback to the research. The positive/negative social impacts and ethical issues related to adversarial ML. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), accepted. Integration of Deep Learning and Relational Learning. Zitao Liu (main contact) , TAL Education Group, liuzitao@tal.com, http://www.zitaoliu.com, Jiliang Tang (Michigan State University, tangjili@msu.edu, https://www.cse.msu.edu/~tangjili/), Lihan Zhao (TAL Education Group, zhaolihan@tal.com), and Xiao Zhai (TAL Education Group, zhaixiao@tal.com), Workshop URL:http://ai4ed.cc/workshops/aaai2022. fact-checking. NOTE: May 19: Notification. Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. [Bests of ICDM], Zheng Zhang and Liang Zhao. 22, Issue 2. 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. We will also select some of the best posters for spotlight talks (2 minutes each). "Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning." In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. IEEE, 2014. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted.