KDD 2022. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. We invite submissions of technical papers up to 7 pages excluding references and appendices. Advances in AI technology, particularly perception and planning, have enabled unprecedented advances in autonomy, with autonomous systems playing an increasingly important role in day-to-day lives, with applications including IoT, drones, and autonomous vehicles. 2022. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. The AAAI-22 workshop program includes 39 workshops covering a [] December, 12-16, 2022. Optimal transport theory, including statistical and geometric aspects; Gromov-Wasserstein distance and its variants; Bayesian inference for/with optimal transport; Gromovization of machine learning methods; Optimal transport-based generative modeling. ETA (expected time-of-arrival) prediction. We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. AAAI, specifically, is a great venue for our workshop because its audience spans many ML and AI communities. Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu. 2022. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. At least one author of each accepted submission must be present at the workshop. Attendance is open to all registered participants. And with particular focuses but not limited to these application domains: Our program consists of two sessions: academic session and industry session. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. A fundamental problem in the use of artificial neural networks is that the first step is to guess the network architecture. Novel methods to learn from scarce/sparse, or heterogenous, or multimodal data. Data Mining Conference Acceptance Rate. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. Analytical cookies are used to understand how visitors interact with the website. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. and deep learning techniques (e.g. Jos Miguel Hernndez-Lobato, University of CambridgeProf. 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. Papers must be in PDF format, in English, and formatted according to the AAAI template. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2013), demo track, pp. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). Natural language reasoning and inference. Robust Regression via Online Feature Selection under Adversarial Data Corruption. We will also have a video component for remote participation. We invite submissions from participants who can contribute to the theory and applications of modeling complex graph structures such as hypergraphs, multilayer networks, multi-relational graphs, heterogeneous information networks, multi-modal graphs, signed networks, bipartite networks, temporal/dynamic graphs, etc. Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. Submission instructions will be available at the workshop web page. Manuscripts must be submitted as PDF files viaEasyChair online submission system. 8 pages), short (max. Submit to:https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, Yinpeng Dong (dyp17@mails.tsinghua.edu.cn, 30 Shuangqing Road, Haidian District, Tsinghua University, Beijing, China, 100084, Phone: +86 18603303421), Yinpeng Dong (Tsinghua University, dyp17@mail.tsinghua.edu.cn), Tianyu Pang (Tsinghua University, pty17@mails.tsinghua.edu.cn), Xiao Yang (Tsinghua University, yangxiao19@mails.tsinghua.edu.cn), Eric Wong (MIT, wongeric@mit.edu), Zico Kolter (CMU, zkolter@cs.cmu.edu), Yuan He (Alibaba, heyuan.hy@alibaba-inc.com ). We encourage authors to contact the organizers to discuss possible overlap. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Examples of the datasets which may be considered are the DBTex Radiology Mammogram dataset and the Johns Hopkins COVID-19 case reports. ), Graduate (master's, specialized graduate diploma (DESS), etc. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. We will accept the extended abstracts of the relevant and recently published work too. Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Online marketplace is a digital platform that connects buyers (demand) and sellers (supply) and provides exposure opportunities that individual participants would not otherwise have access to. The final schedule will be available in November. SDU is expected to host 50-60 attendees. Multilingual document understanding methods and frameworks. The submissions need to be anonymized. 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. 2022. 2999-3006, New Orleans, US, Feb 2018. Disease Contact Network. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. 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/. Submissions will undergo double blind review. All submissions will be peer-reviewed. We are in a conversation with some publishers once they confirm, we will announce accordingly. 4. 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). 1799-1808. Abstracts of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. KDD 2022. 2022. Full papers are allocated 20m presentation and 10m discussion. BEAN: Interpretable and Efficient Learning with Biologically-Enhanced Artificial Neuronal Assembly. Information-theoretic approaches provide a novel set of tools that can expand the scope of classical approaches to causal inference and discovery problems in a variety of applications. Algorithms and theories for trustworthy AI models. Check the deadlines for submitting your application. 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. November 11-17, 2023. Small Molecule Generation via Disentangled Representation Learning. "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. We are excited to announce our upcoming workshop at KDD 2022 | Washington DC, U.S.: Decision Intelligence and Analytics for Online Marketplaces - Jobs, Ridesharing, Retail, and Beyond. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. KDD 2022. Novel algorithms and theories to improve model robustness. Although machine learning (ML) approaches have demonstrated impressive performance on various applications and made significant progress for AI, the potential vulnerabilities of ML models to malicious attacks (e.g., adversarial/poisoning attacks) have raised severe concerns in safety-critical applications. iCal Outlook robotics Innovation, Service, and Rising Star Awards. We allow both short (2-4 pages) and long papers (6-8 pages) papers. The positive/negative social impacts and ethical issues related to adversarial ML. 105, no. How do metrics of capability and generality, and the trade-offs with performance affect safety? In recent years, machine learning techniques (e.g. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. Submissions will go through a double-blind review process. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. Online . An Invertible Graph Diffusion Model for Source Localization. This thread already has a best answer. Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao. The goal of this workshop is to connect researchers in self-supervision inside and outside the speech and audio fields to discuss cutting-edge technology, inspire ideas and collaborations, and drive the research frontier. Qiang Yang, Hong Kong University of Science and Technology/ WeBank, China, (qyang@cse.ust.hk ), Sin G. Teo, Institute for Infocomm Research, Singapore (teosg@i2r.a-star.edu.sg), Han Yu, Nanyang Technological University, Singapore (han.yu@ntu.edu.sg), Lixin Fan, WeBank, China (lixinfan@webank.com), Chao Jin, Institute for Infocomm Research, Singapore (jin_chao@i2r.a-star.edu.sg), Le Zhang, University of Electronic Science and Technology of China (zhangleuestc@gmail.com), Yang Liu, Tsinghua University, China (liuy03@air.tsinghua.edu.cn), Zengxiang Li, Digital Research Institute, ENN Group, China (lizengxiang@enn.cn), Workshop site:http://federated-learning.org/fl-aaai-2022/. Cesa Salaam (Howard University, USA), Hwanhee Lee (Seoul National University, South Korea), Jaemin Cho (University of North Carolina at Chapel Hill, USA), Jielin Qiu (Carnegie Mellon University, USA), Joseph Barrow (University of Maryland, US), Mengnan Du (Texas A&M University, USA), Minh Van Nguyen (University of Oregon, USA), Nicole Meister (Princeton University, USA), Sajad Sotudeh Gharebagh (Georgetown University, USA), Sampreeth Chebolu (University of Houston, USA), Sarthak Jain (Northeastern University, USA),Shufan Wang (University of Massachusetts Amherst, USA), Supplemental Workshop site:https://vtuworkshop.github.io/2022/, https://research.ibm.com/haifa/Workshops/AAAI-22-AI4DO/. 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. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao. We welcome full research papers, position papers, and extended abstracts. DeepGAR: Deep Graph Learning for Analogical Reasoning. No supplement is allowed for extended abstracts. Computers & Electrical Engineering (impact factor: 2.189), vo. How to do good research, Get it published in SIGKDD and get it cited! The main goal of the dialog system technology challenge (DSTC) workshop is to share the result of five main tracks of the tenth dialog system technology challenge (DSTC10). The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Molecules, (impact factor: 4.411), accepted. Submissions are limited to 4 pages, not including references. ACM, 2014. All papers will be peer-reviewed, single-blinded (i.e., please include author names/affiliations/email addresses on your first page). Microsoft's Conference Management Toolkit is a hosted academic conference management system. Submitted technical papers can be up to 4 pages long (excluding references and appendices). 2020. Advances in complex engineering systems such as manufacturing and materials synthesis increasingly seek artificial intelligence/machine learning (AI/ML) solutions to enhance their design, development, and production processes. We will receive the paper on the CMT system. The workshop is organized by paper presentations.The length of the workshop: 1-day, 6-8 pages for full papers2-4 for poster/short/position papers, Submission URL:https://easychair.org/conferences/?conf=aaai-2022-workshop, Wenzhong Guo (Fuzhou University, fzugwz@163.com), Chin-Chen Chang (Feng Chia University, alan3c@gmail.com), Chi-Hua Chen (Fuzhou University, chihua0826@gmail.com), Haishuai Wang (Fairfield University & Harvard University, hwang@fairfield.edu), Feng-Jang Hwang (University of Technology Sydney), Cheng Shi (Xian University of Technology), Ching-Chun Chang (National Institute of Informatics, Japan). "SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning." Novel AI-enabled generative models for system design and manufacturing. Hence, this workshop will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. 14, 2022: The information of Keynote Speakers is available at, Apr. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. At least one author of each accepted submission must be present at the workshop. in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. We allow papers that are concurrently submitted to or currently under review at other conferences or venues. Deep Generative Models for Spatial Networks. Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. 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. In this workshop, we want to explore ways to bridge short-term with long-term issues, idealistic with pragmatic solutions, operational with policy issues, and industry with academia, to build, evaluate, deploy, operate and maintain AI-based systems that are demonstrably safe. Integrated syntax and semantic approaches for document understanding. Besides academia, many companies and institutions are researching on topics specific to their particular domains. Integration of probabilistic inference in training deep models. Track 2 focuses on the state of the art advances in the computational jobs marketplace. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safer. However, the use of rich data sets also raises significant privacy concerns: They often reveal personal sensitive information that can be exploited, without the knowledge and/or consent of the involved individuals, for various purposes including monitoring, discrimination, and illegal activities. Algorithms and theories for learning AI models under bias and scarcity. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. These submissions would benefit from additional exposure and discussion that can shape a better future publication. The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. However, most models and AI systems are built with conservative operating environment assumptions due to regulatory compliance concerns. The review process will be single blind. Autonomous vehicles can share their detected information (e.g., traffic signs, collision events, etc.) in Proceedings of the 24st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), research track (acceptance rate: 18.4%), London, United Kingdom, Aug 2018, accepted. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. Unsupervised Deep Subgraph Anomaly Detection. All the submissions should be anonymous. The 39th IEEE International Conference on Data Engineering (ICDE 2023), accepted. 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. You signed in with another tab or window. All papers must be submitted in PDF format, using the AAAI-22 author kit. job seekers, employers, recruiters and job agents. 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. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. While we are planning an in-person workshop to be held at AAAI-22, we aim to accommodate attendees who may not be able to travel to Vancouver by allowing participation via live virtual invited talks and virtual poster sessions.
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