Sigcomm 2022! - Some will be selected for spotlight talks, and some for the poster session. RES: A Robust Framework for Guiding Visual Explanation. Kyoto . The workshop will be organized as a full day meeting. 2022. We will include a panel discussion to close the workshop, in which the audience can ask follow up questions and to identify the key AI challenges to push the frontiers in Chemistry. Long Beach, California, USA . 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. 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. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. 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. The role of adjacent fields of study (e.g, computational social science) in mitigating issues of bias and trust in AI. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. The submission website ishttps://cmt3.research.microsoft.com/OTSDM2022. The 19th International Conference on Data Mining (ICDM 2019), long paper, (acceptance rate: 9.08%), Beijing, China. Novel ML-accelerated optimization for conceptual/detailed system design. 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. 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. have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Some of the key questions to be explored include: The workshop will take place in person and will span over one day. Submit to: Papers are required to submit to:https://easychair.org/conferences/?conf=dlg22. to protect data owner privacy in FL. 2022. We hope this will help bring the communities of data mining and visualization more closely connected. How do metrics of capability and generality, and the trade-offs with performance affect safety? Submissions should follow the AAAI-2022https://aaai.org/Conferences/AAAI-22/aaai22call/. Semantic understanding of business documents. 11-13. This workshop aims to provide a premier interdisciplinary forum for researchers in different communities to discuss the most recent trends, innovations, applications, and challenges of optimal transport and structured data modeling. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. ACM, 2013. Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. Submissions will be peer reviewed, single-blinded. Attendance is expected to be 150-200 participants (estimated), including organizers and speakers. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. The invited speakers, who are well-recognized experts of the field, will give a 30 minute talk. KDD 2022 Reveals Schedule of Data Mining and Knowledge Discovery Papers Deep Generation of Heterogeneous Networks. Taking the pulse of COVID-19: a spatiotemporal perspective. Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. GNES: Learning to Explain Graph Neural Networks. The challenge requires participants to build competitive models for diverse downstream tasks with limited labeled data and trainable parameters, by reusing self-supervised pre-trained networks. ML-guided rare event modeling and system uncertainty quantification, Development of software, libraries, or benchmark datasets, and. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals: 1) Identify and understand the challenges in applying AI to specific science and engineering problems2) Develop, adapt, and refine AI tools for novel problem settings and challenges3) Community-building and education to encourage collaboration between AI researchers and domain area experts. Attendance is virtual and open to all. Ranking, acceptance rate, deadline, and publication tips. [Best Paper Award]. the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. The third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) builds on the success of previous years PPAI-20 and PPAI-21 to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. For each accepted paper, at least one author must attend the workshop and present the paper. The workshop also welcomes participants of SUPERB and Zero Speech challenge to submit their results. A primary reason for this is the inherent long-tailed nature of our world, and the need for algorithms to be trained with large amounts of data that includes as many rare events as possible. Computers & Electrical Engineering (impact factor: 2.189), vo. In some programs, spots may be available after the deadlines. 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. ISBN: 978-981-16-6053-5. Paper Submission Deadline: 23:59 on Thursday. Data Mining Conferences - GitHub Full (8 pages) and short (4 pages, work in progress) papers, AAAI style. Yuyang Gao, Giorgio Ascoli, Liang Zhao. Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao. At least one author of each accepted submission must present the paper at the workshop. Analytical cookies are used to understand how visitors interact with the website. What are the primary lessons learned from the model failures? You may file an application just the same, but Universit de Montral cannot guarantee that it will respond quickly enough for you to be able to complete all the formalities required to study in Quebec. Some specific topics in the context of scientific discovery and engineering design include (but not limited to): This will be a one day workshop with a number of paper presentations and poster spotlights, a poster session, several invited talks, and a panel discussion. AI Conference Deadlines The workshop will focus on the application of AI to problems in cyber-security. 32, no. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. Full papers are allocated 20m presentation and 10m discussion. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. Because of the time needed to complete the formalities for entering Canada and Quebec, the admission period for international applicants ends several weeks before the session begins. [Bests of ICDM]. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. 10, pp. 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. 3, pp. Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, and Liang Zhao. Application fees are not refundable. 1145/3394486.3403221. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. The workshop follows a single-blind reviewing process. AI Conference Deadlines - Hyunwoo Kim Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Dinakarrao, Houman Homayoun, Liang Zhao. 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/. The objective of this workshop is to discuss the winning submissions of the Submissions to the Amazon KDD Cup 2022 issingle-blind (author names and affiliations should be listed). information bottleneck principle). Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. 5 (2014): 1447-1459. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), (Acceptance Rate: 26%), accepted. Online marketplaces exist in a diverse set of domains and industries, for example, rideshare (Lyft, DiDi, Uber), house rental (Airbnb), real estate (Beke), online retail (Amazon, Ebay), job search (LinkedIn, Indeed.com, CareerBuilder), and food ordering and delivery (Doordash, Meituan). 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. Attendance is open to all, subject to any room occupancy constraints. We invite submissions of technical papers up to 7 pages excluding references and appendices. Online Flu Epidemiological Deep Modeling on Springer, Singapore. This workshop has no archival proceedings. IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 24.31), accepted. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Natural language reasoning and inference. Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao. The post-lunch session will feature a second keynote talk, two invited talks. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. The workshop plans to invite about 50-75 participants. 1059-1072, May 1 2017. Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. In addition, any other work on dialog research is welcome to the general technical track. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. 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. 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. "Online Spatial Event Forecasting in Microblogs. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). We are in a conversation with some publishers once they confirm, we will announce accordingly. 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. [Best Paper Award]. Long papers (up to 6 pages + references) and extended abstracts (2 pages + references) are welcome, including resubmissions of already accepted papers, work-in-progress, and position papers. This AAAI workshop aims to bring together researchers from core AI/ML, robotics, sensing, cyber physical systems, agriculture engineering, plant sciences, genetics, and bioinformatics communities to facilitate the increasingly synergistic intersection of AI/ML with agriculture and food systems. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. Dazhou Yu, Guangji Bai, Yun Li, and Liang Zhao. At least one author of each accepted submission must register and present the paper at the workshop. In general, AI techniques are still not widely adopted in the real world. 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. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. "Controllable Data Generation by Deep Learning: A Review." We welcome submissions of long (max. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. 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. Make sure your desired study programs are open for admission in the session when you would like to start your studies. Researchers from related domains are invited to submit papers on recent advanced technologies, resources, tools and challenges for VTU. NOTE: Mandatory abstract deadline: 2022-08-08 Deadline: AAAI 157. Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. Submission URL:https://easychair.org/my/conference?conf=vtuaaai2022. 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. 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. Table identification and extraction from business documents. Oct. 24, 2021: The KDD2022 website is LIVE! Would you like to mark this message as the new best answer? Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. At the same time, multimodal hate-speech detection is an important problem but has not received much attention. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. Integrated syntax and semantic approaches for document understanding. Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. 105, no. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. 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. 14, 2022: The information of Keynote Speakers is available at, Apr. Complex systems are often characterized by several components that interact in multiple ways among each other. The financial services industry relies heavily on AI and Machine Learning solutions across all business functions and services. Graph Neural Networks: Foundations, Frontiers, and Applications. Share. 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. Poster/short/position papers submission deadline: Nov 5, 2021Full paper submission deadline: Nov 5, 2021Paper notification: Dec 3, 2021. Babies learn their first language through listening, talking, and interacting with adults. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. 15, pp. Some existing research also presents that there is a trade-off between the robustness and accuracy of deep learning models. 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. VDS@KDD will be hybrid and VDS@VIS will be hybrid (both virtual and in-person) in 2022. Why did so many AI/ML models fail during the pandemic? The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. Prediction-time Efficient Classification Using Feature Computational Dependencies. 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. (Depending on the volume of submissions, we may be able to accommodate only a subset of them.). Industry-wide reports highlight large-scale remediation efforts to fix the failures and performance issues. How can we engineer trustable AI software architectures? 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. Thirty-First AAAI Conference on Artificial Intelligence, pp. 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. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu. At least one author of each accepted submission must be present at the workshop. The cookie is used to store the user consent for the cookies in the category "Analytics". Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. PDF suitable for ArXiv repository (4 to 8 pages). We will also have a panel discussion on the current and future of GNNs on both research and industry. The papers may consist of up to seven pages of technical content plus up to two additional pages for references. Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. It leverages many emerging privacy-preserving technologies (SMC, Homomorphic Encryption, differential privacy, etc.) 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. 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. Track 1 covers the issues and algorithms pertinent to general online marketplaces as well as specific problems and applications arising from those diverse domains, such as ridesharing, online retail, food delivery, house rental, real estate, and more. While there have been extensive independent research threads on the subject of safety and reliability of specific sub-problems in autonomy, such as the problem of robust control, as well as recent considerations of robust AI-based perception, there has been considerably less research on investigating robustness and trust in end-to-end autonomy, where AI-based perception is integrated with planning and control in an open loop.