In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Roco Mercado, Massachusetts Institute of Technology. The theme of the hack-a-thon will be decided before submission is closed and will be focused around finding creative solutions to novel problems in health. 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. "How events unfold: spatiotemporal mining in social media." The submission website ishttps://cmt3.research.microsoft.com/OTSDM2022. And considering robustness, input data with noises frequently occur in open-world scenarios, which presents critical challenges for the building of robust AI systems in practice. Authors are strongly encouraged to make data and code publicly available whenever possible. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. Novel ML-accelerated optimization for conceptual/detailed system design. We invite submission of papers describing innovative research on all aspects of knowledge discovery and data science, ranging from theoretical foundations to novel models and algorithms for data science problems in science, business, medicine, and engineering. The last few years have seen the rapid development of mathematical methods for modeling structured data coming from biology, chemistry, network science, natural language processing, and computer vision applications. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. Universit de MontralOffice of Admissions and RecruitmentC. 1, Sec. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. This year the AICS emphasis will be on practical considerations in the real world when deploying AI systems for security with a special focus on convergence of AI and cyber-security in the biomedical field. Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao. However, research in the AI field also shows that their performance in the wild is far from practical due to the lack of model efficiency and robustness towards open-world data and scenarios. The workshop will include original contributions on theory, methods, systems, and applications of data mining, machine learning, databases, network theory, natural language processing, knowledge representation, artificial intelligence, semantic web, and big data analytics in web-based healthcare applications, with a focus on applications in population and personalized health. KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. We will end the workshop with a panel discussion by top researchers in the field. 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. Options include pruning a trained network or training many networks automatically. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. Liang Zhao. Poster session: One poster session of all accepted papers which leads for interaction and personal feedback to the research. Such advances would enrich the range of applicability of semi-autonomous systems to real-world tasks, most of which involve cooperation with one or more human partners. ML4OR is a one-day workshop consisting of a mix of events: multiple invited talks by recognized speakers from both OR and ML covering central theoretical, algorithmic, and practical challenges at this intersection; a number of technical sessions where researchers briefly present their accepted papers; a virtual poster session for accepted papers and abstracts; a panel discussion with speakers from academia and industry focusing on the state of the field and promising avenues for future research; an educational session on best practices for incorporating ML in advanced OR courses including open software and data, learning outcomes, etc. July 21: Clarified that the workshop this year will be held in-person. information bottleneck principle). Virtual . System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. [Best Paper Candidate], Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao. Outcomes include outlining the main research challenges in this area, potential future directions, and cross-pollination between AI researchers and domain experts in agriculture and food systems. 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. This workshop will encourage researchers from interdisciplinary domains working on multi-modality and/or fact-checking to come together and work on multimodal (images, memes, videos etc.) For example, FL is still at the risk of various kinds of attacks that may result in leakage of individual data source privacy or degraded joint model accuracy. The workshop will be co-located with the KDD 2022 conference at Washington DC Convention Center,Washington D.C., USA onAugust 17th, 2022 at1PM5PM (Eastern Standard Time). Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao. Different from machine learning, Knowledge Discovery and Data Mining (KDD) is considered to be more practical and more related with real-world applications. These cookies will be stored in your browser only with your consent. Computers & Electrical Engineering (impact factor: 2.189), vo. Additional information about formatting and style files is available here: : Full papers are limited to a total of 6 pages, including all content and references. Dialog systems and related technologies, including natural language processing, audio and speech processing, and vision information processing. Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and . Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Application fees are not refundable. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. December, 12-16, 2022. Merge remote-tracking branch 'origin/master', 2. This proposed workshop will build upon successes and learnings from last years successful AI for Behavior Change workshop, and will focus on on advances in AI and ML that aim to (1) design and target optimal interventions; (2) explore bias and equity in the context of decision-making and (3) exploit datasets in domains spanning mobile health, social media use, electronic health records, college attendance records, fitness apps, etc. 1503-1512, Aug 2015. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Multilingual document understanding methods and frameworks. 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. Attendance is open to all; at least one author of each accepted paper must be virtually present at the workshop. ACM, New York, NY, USA, 10 pages. Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. 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. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. This is a one-day workshop, planned with a 10-minute opening, 6 invited keynotes, ~6 contributed talks, 2 poster sessions, and 2 panel discussions. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. San Francisco, USA . Papers will be peer-reviewed and selected for spotlight and/or poster presentation at the workshop. 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. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. The workshop on Robust Artificial Intelligence System Assurance (RAISA) will focus on research, development and application of robust artificial intelligence (AI) and machine learning (ML) systems. However, you may visit "Cookie Settings" to provide a controlled consent. Researchers from related fields are invited to submit papers on the recent advances, resources, tools, and upcoming challenges for SDU. Papers must be between 4-8 pages with the AAAI submission format submitted to the track of regular paper, SUPERB or Zero Speech result paper. 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. Workshop URL:https://rail.fzu.edu.cn/info/1014/1064.htm, Prof. Chi-Hua ChenEmail: chihua0826@gmail.comPostal address: No.2, Xueyuan Rd., Fuzhou, Fujian, ChinaTelephone: +86-18359183858. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. This workshop wants to emphasize on the importance of integrative paradigms for solving the new wave of AI applications. Introduction: SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining.SIGKDD will encourage: basic research in KDD (through annual research conferences, newsletter and other related activities . Submissions are limited to 4 pages, not including references. Other submissions will be evaluated by a committee based on their novelty and insights. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. Deep Spatial Domain Generalization. Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. This cookie is set by GDPR Cookie Consent plugin. Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. "Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data" The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) , (acceptance rate: 21%), pp. 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). By registering, you agree to receive emails from UdeM. This 1-day workshop will include a mixture of invited speakers, panels (including discussion with the audience), and presentations from authors of accepted submissions. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. We will use double-blind reviewing. The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. Attendance is open to all prior registration to the workshop/conference. All deadlines are at 11:59 PM anytime in the world. Submissions of technical papers can be up to 7 pages excluding references and appendices. Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. 17th International Workshop on Mining and Learning with Graphs. We encourage authors to contact the organizers to discuss possible overlap. 29, no. 22, Issue 2. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). Deadline: FSE 2023. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), accepted. The AAAI-22 workshop program includes 39 workshops covering a wide range of topics in artificial intelligence. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. 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. We will also select some of the best posters for spotlight talks (2 minutes each). iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. Connor Coley, Massachusetts Institute of TechnologyProf. We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. Oct 14, 2021: Abstract Deadline. 2020. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Please refer to the KDD 2022 website for the policies of Conflict of Interest, Violations of Originality, and Dual Submission: A Best Paper Award will be presented to the best full paper as voted by the reviewers. Chen Ling, Carl Yang, Liang Zhao. 15, pp. 105, no. The submissions need to be anonymized. 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. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! Submissions should be formatted using the AAAI-2022 Author Kit. arXiv preprint arXiv:2207.09542 (2022). 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. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. Given the ever-increasing role of the World Wide Web as a source of information in many domains including healthcare, accessing, managing, and analyzing its content has brought new opportunities and challenges. ; (2) Deep Learning (DL) approaches that can exploit large datasets, particularly Graph Neural Networks (GNNs) and Deep Reinforcement Learning (DRL); (3) End-to-end learning methodologies that mend the gap between ML model training and downstream optimization problems that use ML predictions as inputs; (4) Datasets and benchmark libraries that enable ML approaches for a particular OR application or challenging combinatorial problems. 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/. Self-supervised learning approaches involving the interaction of speech/audio and other modalities. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. Adversarial attacking deep learning systems, Robust architectures against adversarial attacks, Hardware implementation and on-device deployment, Benchmark for evaluating model robustness, New methodologies and architectures for efficient and robust deep learning, December 3, 2021 Acceptance Notification, Applications of privacy-preserving AI systems, Differential privacy: theory and applications, Distributed privacy-preserving algorithms, Privacy preserving optimization and machine learning, Privacy preserving test cases and benchmarks. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. All papers will be peer-reviewed, single-blinded (i.e., please include author names/affiliations/email addresses on your first page). 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. Bioinformatics (Impact Factor: 6.937), accepted, 2022. The 11th International Conference on Learning Representations (ICLR 2023), accepted. Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. After seventh highly successful events, the eighth Symposium on Visualization in Data Science (VDS) will be held at a new venue, ACM KDD 2022 as well as IEEE VIS 2022. arXiv preprint arXiv:2302.02093 (2023). Information theoretic quantities (entropy, mutual information, divergence) estimation, Information theoretic methods for out-of-domain generalization and relevant problems (such as robust transfer learning and lifelong learning), Information theoretic methods for learning from limited labelled data, such as few-shot learning, zero-shot learning, self-supervised learning, and unsupervised learning, Information theoretic methods for the robustness of DNNs in AI systems, The explanation of deep learning models (in AI systems) with information-theoretic methods, Information theoretic methods in different AI applications (e.g., NLP, healthcare, robotics, finance). 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. Property Controllable Variational Autoencoder via Invertible Mutual Dependence. 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. 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. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. Integration of neuro and symbolic approaches. Deep Geometric Neural Networks for Spatial Interpolation. Published March 4, 2023 4:51 a.m. PST. 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. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. The excellent papers will be recommended for publications in SCI or EI journals. Accepted papers will not be archived, and we explicitly allow papers that are concurrently submitted to, currently under review at, or recently accepted in other conferences / venues. 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. Send this CFP to us by mail: cfp@ourglocal.org. Please note that the KDD Cup workshop will have no proceedings and the authors retain full rights to submit or post the paper at any other venue. robust and interpretable natural language processing for healthcare. 11, 2022: We have posted the list of accepted Workshops at, Apr. [slides] 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. Welcome to PAKDD2022. text, images, and videos). However, we will also accept anonymous submissions. All papers must be submitted in PDF format, using the AAAI-22 author kit. Ourprevious workshop at AAAI-21generated significant interest from the community. : Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. How do metrics of capability and generality, and the trade-offs with performance affect safety? ), The workshop will be organized as half-day event with 2 invited speakers, follow by presentation from accepted papers (both ordinary papers, and shared task paper). Apr 25th through Fri the 29th, 2022. . Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). Fine tuning a neural network is very time consuming and far from optimal. Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad. 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. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. DeepGAR: Deep Graph Learning for Analogical Reasoning. Deadline in your local America/New_York timezone: Deadline in timezone from conference website: DASFAA 2022. Each accepted paper presentation will be allocated between 15 and 20 minutes. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu. The workshop aims at bridging formalisms for learning and reasoning such as neural and symbolic approaches, probabilistic programming, differentiable programming, Statistical Relation Learning and using non-differentiable optimization in deep models. Authors of accepted papers will be invited to participate. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. In light of these issues, and the ever-increasing pervasiveness of AI in the real world, we seek to provide a focused venue for academic and industry researchers and practitioners to discuss research challenges and solutions associated with building AI systems under data scarcity and/or bias. 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. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), New Orleans, US, Feb 2018, pp. of Graz), Cynthia Rudin (Duke Univ.) Thank you for all your contributions, our, Paper submission deadline is now extended to. We invite novel contributions following the AAAI-22 formatting guidelines, camera-ready style. This workshop aims to bring together FL researchers and practitioners to address the additional security and privacy threats and challenges in FL to make its mass adoption and widespread acceptance in the community.
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