kdd 2022 deadline kdd 2022 deadline

"Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning." Apr 11-14, 2022. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. ADMM for Efficient Deep Learning with Global Convergence. The trustworthy issues of clinical AI methods were not discussed. Yuanqi du, George Mason University, USA; Jian Pei, Simon Fraser University, Canada; Charu Aggarwal, IBM Research AI, USA; Philip S. Yu, University of Illinois at Chicago, USA; Xuemin Lin, University of New South Wales, Australia; Jiebo Luo, University of Rochester, USA; Lingfei Wu, JD.Com Silicon Valley Research Center, USA; Yinglong Xia, Facebook AI, USA; Jiliang Tang, Michigan State University, USA; Peng Cui, Tsinghua University, China; William L. Hamilton, McGill University, Canada; Thomas Kipf, University of Amsterdam, Netherlands, Workshop URL:https://deep-learning-graphs.bitbucket.io/dlg-aaai22/. 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. 2022. Positive applications of adversarial ML, i.e., adversarial for good. If it turns out that the architecture is not appropriate for the task, the user must repeatedly adjust the architecture and retrain the network until an acceptable architecture has been obtained. To view them in conference website timezones, click on them. In addition to the keynote and presentations of accepted works, the workshop will include both a general discussion session on defining and addressing the key challenges in this area , and a lightning tutorial session that will include brief overviews and demos of relevant tools, including open source frameworks such as Ecole. Previous healthcare-related workshops focus on how to develop AI methods to improve the accuracy and efficiency of clinical decision-making, including diagnosis, treatment, triage. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. It will start with a 60-minute mini-tutorial covering the basics of RL in games, and will include 2-4 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. New theory and fundamentals of AI-aided design and manufacturing. KDD 2022 KDD . Universit de MontralOffice of Admissions and RecruitmentC. Participants are welcomed to submit their system reports to be presented in the workshop. We consider submissions that havent been published in any peer-reviewed venue (except those under review). 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. Xiaojie Guo, Yuanqi Du, Liang Zhao. Besides academia, many companies and institutions are researching on topics specific to their particular domains. "TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction", the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (SIGSPATIAL 2019), long paper, (acceptance rate: 21.7%), Chicago, Illinois, USA, accepted. It is expected that one of the authors of accepted contributions will register and attend the workshop to present the work in video in-person in the workshops Paper Sessions. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao. KDD 2022 is a dual-track conference that provides distinct programming in research and applied data science. Full papers are allocated 20m presentation and 10m discussion. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. 40, no. Submission Guidelines (Depending on the volume of submissions, we may be able to accommodate only a subset of them.). [slides] The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. In recent months/years, major global shifts have occurred across the globe triggered by the Covid pandemic. This manual extraction process is usually inefficient, error-prone, and inconsistent. information bottleneck principle). In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2014), industrial track, pp. Specific topics of interest for the workshop include (but are not limited to) foundational and translational AI activities related to: The workshop will be a one day meeting comprising invited talks from researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work. Deadline in . Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. Submissions should follow the AAAI 2022 formatting guidelines and the AAAI 2022 standards for double-blind review including anonymous submission. Please submit the papers and system reports toEasyChair, Thien Huu Nguyen (University of Oregon, thien@cs.uoregon.edu), Walter Chang (Adobe Research, wachang@adobe.com), Amir Pouran Ben Veyseh (University of Oregon, apouranb@uoregon.edu), Viet Dac Lai (University of Oregon, viet@uoregon.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Workshop URL:https://sites.google.com/view/sdu-aaai22/home. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. Apr 25th through Fri the 29th, 2022. . The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. The first AAAI Workshop on AI for Design and Manufacturing, ADAM, aims to bring together researchers from core AI/ML, design, manufacturing, scientific computing, and geometric modeling. The 39th IEEE International Conference on Data Engineering (ICDE 2023), accepted. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . An example of the latter is theCascade Correlation algorithm, as well as others that incrementally build or modify a neural network during training, as needed for the problem at hand. 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). Contrast Pattern Mining in Paired Multivariate Time Series of Controlled Driving Behavior Experiment. Shiyu Wang, Xiaojie Guo, Liang Zhao. Publication in HC-SSL does not prohibit authors from publishing their papers in archival venues such as NeurIPS/ICLR/ICML or IEEE/ACM Conferences and Journals. Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. Recent years have witnessed growing efforts from the AI research community devoted to advancing our education and promising results have been obtained in solving various critical problems in education. But opting out of some of these cookies may affect your browsing experience. Liang Zhao, Feng Chen, and Yanfang Ye. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. Viliam Lisy (Czech Technical University in Prague, viliam.lisy@fel.cvut.cz), Noam Brown (Facebook AI Research, noambrown@fb.com), Martin Schmid (DeepMind, mschmid@google.com), Supplemental Workshop site:http://aaai-rlg.mlanctot.info/. This one-day workshop will consist of: (1) an ice-breaking session, (2) paper presentations, (3) a poster session, and (4) an ideation brainstorming session. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. of London). have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). Deadline: FSE 2023. This workshop aims to discuss important topics about adversarial ML to deepen our understanding of ML models in adversarial environments and build reliable ML systems in the real world. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. The growing popularity of NAS methods demonstrates the communitys hunger for better ways of choosing or evolving network architectures that are well-matched to the problem at hand. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. Would you like to mark this message as the new best answer? FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. 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. We allow both short (2-4 pages) and long papers (6-8 pages) papers. Interpretable Molecular Graph Generation via Monotonic Constraints. For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers. There is now a great deal of interest in finding better alternatives to this scheme. While progress has been impressive, we believe we have just scratched the surface of what is capable, and much work remains to be done in order to truly understand the algorithms and learning processes within these environments. 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. In addition, broad deployment of ML software in networked systems inevitably exposes ML software to attacks. 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. This workshop on Trustworthy Autonomous Systems Engineering (TRASE) offers an opportunity to highlight state of the art research in trustworthy autonomous systems, as well as provide a vision for future foundational and applied advances in this critical area at the intersection of AI and Cyber-Physical Systems. July 21: Clarified that the workshop this year will be held in-person. 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. Submissions may consist of up to 4 pages plus one additional page solely for references. Fine tuning a neural network is very time consuming and far from optimal. Meta-learning models from various existing task-specific AI models. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2016), regular paper, (acceptance rate: 8.5%), pp. 2020. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. This workshop has no archival proceedings. "A Uniform Representation for Trajectory Learning Tasks", 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017), short paper, DOI=10.1145/3139958.3140017, Redondo Beach, CA, USA, Nov 2017. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. Deep Graph Learning for Circuit Deobfuscation. 12 (2014): 90-94. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. 2022. Authors are invited to send a contribution in the AAAI-22 proceedings format. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. The goal of ITCI22 is to bring together researchers working at the intersection of information theory, causal inference and machine learning in order to foster new collaborations and provide a venue to brainstorm new ideas, exemplify to the information theory community causal inference and discovery as an application area and highlight important technical challenges motivated by practical ML problems, draw the attention of the wider machine learning community to the problems at the intersection of causal inference and information theory, and demonstrate to the community the utility of information-theoretic tools to tackle causal ML problems. ACM, New York, NY, USA, 10 pages. We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. applications: ridesharing, online retail, food delivery, house rental, real estate, and more. Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia and Charu Aggarwal, "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. In recent years, we have seen examples of general approaches that learn to play these games via self-play reinforcement learning (RL), as first demonstrated in Backgammon. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. 2085-2094, Aug 2016. The goal of the inaugural HC-SSL workshop is to highlight and facilitate discussions in this area and expose the attendees to emerging potentials of SSL for human-centric representation learning, and promote responsible AI within the context of SSL. 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. An Invertible Graph Diffusion Model for Source Localization. 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 . Thirty-First AAAI Conference on Artificial Intelligence, pp. Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, Liang Zhao. 32, no. Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. For general inquiries about AI2ASE, please write to the lead organizer aryan.deshwal@wsu.edu or jana.doppa@wsu.edu. The papers have to be submitted through EasyChair. In general, AI techniques are still not widely adopted in the real world. 7, no. The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. Submission site:https://cmt3.research.microsoft.com/ITCI2022, Murat Kocaoglu, Chair (Purdue University, mkocaoglu@purdue.edu), Negar Kiyavash (EPFL, negar.kiyavash@epfl.ch), Todd Coleman (UCSD, tpcoleman@ucsd.edu), Supplemental workshop site:https://sites.google.com/view/itci22. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Frontiers in Neurorobotics, (impact factor: 2.574), accepted. At the same time, multimodal hate-speech detection is an important problem but has not received much attention. The final schedule will be available in November. Oral Paper (Top 5% among the accepted papers). Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu. Researchers from related fields are invited to submit papers on the recent advances, resources, tools, and upcoming challenges for SDU. We invite paper submission with a focus that aligns with the goals of this workshop. Topics include but not limited to: Large-scale and novel targeting technologies, Fraud, fairness, explainability and privacy, Intelligent assistants in job hunting and hiring automation, Large-scale and high performing data infrastructure, data analysis and tooling, Economics and causal inference in online jobs marketplace, Large-scale analytics of user behaviors in online jobs marketplace. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), (Acceptance Rate: 26%), accepted. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. We will use double-blind reviewing. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. 2022. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. [paper] We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. We welcome attendance from individuals who do not have something theyd like to submit but who are interested in RL4ED research. 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. Algorithms and theories for learning AI models under bias and scarcity. Zheng Zhang and Liang Zhao. Both the research papers track and the applied data science papers track will take . All papers must be submitted in PDF format, using the AAAI-22 author kit. 2020. Tips for Doing Good DM Research & Get it Published! How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? 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.