Other submissions will be evaluated by a committee based on their novelty and insights. Virtual . We are excited to continue promoting innovation in self-supervision for the speech/audio processing fields and inspiring the fields to contribute to the general machine learning community. Submissions will be peer reviewed, single-blinded. ), 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). While a variety of research has advanced the fundamentals of document understanding, the majority have focused on documents found on the web which fail to capture the complexity of analysis and types of understanding needed across business documents. The main research questions and topics of interest include, but are not limited to: This will be a one day workshop, including four invited speakers, one panel session, a number of oral presentations of the accepted long papers and two poster sessions for all accepted papers including short and long. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. Yuanqi Du*, Shiyu Wang* (co-first author), Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao. The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. How can the financial services industry balance the regulatory compliance and model governance pressures with adaptive models, Methods to combine scientific knowledge and data to build accurate predictive models, Adaptive experiment design under resource constraints, Learning cheap surrogate models to accelerate simulations, Learning effective representations for structured data, Uncertainty quantification and reasoning tools for decision-making, Explainable AI for both prediction and decision-making, Integrating AI tools into existing workflows, Challenges in applying and deployment of AI in the real-world. Besides academia, many companies and institutions are researching on topics specific to their particular domains. arXiv preprint arXiv:2207.09542 (2022). 27, 2022: Please check out Speical Days at, Apr. We encourage long papers, short papers and demo papers. The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. 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. 2022. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. Please email to Lingfei Wu: lwu@email.wm.edu for any query. It will include multiple keynote speakers, invited talks, a panel discussion, and two poster sessions for the accepted papers. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. The goal of this workshop is to bring together the optimal transport, artificial intelligence, and structured data modeling, gathering insights from each of these fields to facilitate collaboration and interactions. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. San Francisco, USA . a fantastic tutorial on SIGKDD'09 by Prof. Eamonn Keogh (UC Riverside). 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. Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. Submissions will be collected via the OpenReview platform; URL forthcoming on the Workshop website. Some existing research also presents that there is a trade-off between the robustness and accuracy of deep learning models. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. How can we engineer trustable AI software architectures? Chen Ling, Carl Yang, and Liang Zhao. 507-516, Singapore, Nov 2017. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. CFP - EasyChair Springer, Singapore. However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. Welcome to the home of the 2023 ACM SIGMOD/PODS Conference, to be held in the Seattle metropolitan area, Washington, USA, on June 18 - June 23, 2023. Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, "Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation", ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 1.98), accepted, 2019. and Simone Stumpf (Univ. 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. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. The format is the standard double-column AAAI Proceedings Style. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities. The impact of robustness assurance on other AI ethics principles: RAISA will also explore aspects related to ethical AI that overlap and interact with robustness concerns, including security, fairness, privacy, and explainability. Short papers 10m presentation and 5m discussion. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. ), responsible development of human-centric SSL (e.g., safety, limitations, societal impacts, and unintended consequences), ethical and legal implications of using SSL on human-centric data, implications of SSL on robustness and fairness, implications of SSL on privacy and security, interpretability and explainability of human-centric SSL frameworks, if your work broadly addresses the use of unlabeled human-centric data with unsupervised or semi-supervised learning, if your work focuses on architectures and frameworks for SSL for sensory data beyond CV and NLP (but not necessarily human-centric data). Welcome to DLG-KDD'22! - Bitbucket Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Pengtao Xie (main contact), Assistant Professor, University of California, San Diego, pengtaoxie2008@gmail.com Engineer Ln, San Diego, CA 92161 (Tel)4123206230, Marinka Zitnik, Assistant Professor, Harvard University, marinka@hms.harvard.edu 10 Shattuck Street, Boston, MA 02115 (Tel)6503086763, Byron Wallace, Assistant Professor, Northeastern University, byron@ccs.neu.edu 177 Huntington Ave, Boston, MA 02115 (Tel)4135120352, Eric P. Xing, Professor, Carnegie Mellon University, epxing@cs.cmu.edu 5000 Forbes Ave, Pittsburgh, PA 15213 (Tel)4122682559, Ramtin Hosseini, PhD Student, University of California, San Diego, rhossein@eng.ucsd.edu (Tel) 3104293825, Ethics and fairness in autonomous systems, Robust robotic design, particularly of autonomous drones and/or vehicles. Roco Mercado, Massachusetts Institute of Technology. Cleansing and image enhancement techniques for scanned documents. Disentangled Spatiotemporal Graph Generative Model. "Multi-Task Learning for Spatio-Temporal Event Forecasting." In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Saliency-Augmented Memory Completion for Continual Learning. "A Topic-focused Trust Model for Twitter." Some will be selected for spotlight talks, and some for the poster session. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. Whats more, various AI based models are trained on massive student behavioral and exercise data to have the ability to take note of a students strengths and weaknesses, identifying where they may be struggling. All submissions will be peer-reviewed. Information theory has demonstrated great potential to solve the above challenges. Welcome to the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2022), which will be held in Chengdu, China on May 16-19, 2022. Computer Communications, (impact factor: 3.34), Elsevier, vo. Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints. All the submissions should be anonymous. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators. Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. The trustworthy issues of clinical AI methods were not discussed. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. Association for the Advancement of Artificial Intelligence, The Thirty-Sixth AAAI Conference on Artificial IntelligenceFebruary 28 and March 1, 2022Vancouver Convention CentreVancouver, BC, Canada. Sigcomm 2022! - 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/. This date takes priority over those shown below and could be extended for some programs. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. 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. 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). KDD 2022. Submit to:https://cmt3.research.microsoft.com/AIBSD2022, Kuan-Chuan Peng (Mitsubishi Electric Research Laboratories, kp388@cornell.edu), Ziyan Wu (UII America, Inc., wuzy.buaa@gmail.com), Supplemental workshop site:https://aibsdworkshop.github.io/2022/index.html. Countdowns to conference deadlines in the field of autonomous driving. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. Graph Neural Networks: Foundations, Frontiers, and Applications. The topics of interest include but are not limited to: Theoretical and Computational Optimal Transport: Optimal Transport-Driven Machine Learning: Optimal Transport-Based Structured Data Modeling: The full-day workshop will start with two long talks and one short talk in the morning. 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 are limited to 4 pages, not including references. 2022. ACM, 2014. All accepted papers will be archived on the workshop website, but there will not be formal proceedings. 2022. 2022. Three specific roles are part of this format: session chairs, presenters and paper discussants. Submissions will go through a double-blind review process. Call for Papers Document Intelligence Workshop @ KDD 2022 Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. "Bridging the gap between spatial and spectral domains: A survey on graph neural networks." Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, Liang Zhao. 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. A Systematic Survey on Deep Generative Models for Graph Generation. Encore track papers that have been recently published, or accepted for publication in a conference or journal. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs Guangji Bai, Chen Ling, Liang Zhao. The papers may consist of up to seven pages of technical content plus up to two additional pages for references. Instead of grading each piece of work individually, which can take up a bulk of extra time, intelligent scoring tools allow teachers the ability to have their students work automatically graded. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. For example, AI tools are built to ease the workload for teachers. We plan to invite 2-4 keynote speakers from prestigious universities and leading industrial companies. With the rapid development of advanced techniques on the intersection between information theory and machine learning, such as neural network-based or matrix-based mutual information estimator, tighter generalization bounds by information theory, deep generative models and causal representation learning, information theoretic methods can provide new perspectives and methods to deep learning on the central issues of generalization, robustness, explainability, and offer new solutions to different deep learning related AI applications.This workshop aims to bring together both academic researchers and industrial practitioners to share visions on the intersection between information theory and deep learning, and their practical usages in different AI applications. While classical security vulnerabilities are relevant, ML techniques have additional weaknesses, some already known (e.g., sensitivity to training data manipulation), and some yet to be discovered. Undergraduate (bachelor's, certificate, etc. in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), (acceptance rate: 22%), Vancouver, BC, pp. Recently self-supervised approaches for speech/audio processing are also gaining attention. Track 2 focuses on the state of the art advances in the computational jobs marketplace. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. 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. It has gained popularity in some domains such as image classification, speech recognition, smart city, and healthcare. The cookie is used to store the user consent for the cookies in the category "Performance". Disentangled Dynamic Graph Deep Generation, SIAM International Conference on Data Mining (SDM 2021), (acceptance rate: 21.3%), accepted. Information extraction and information retrieval for scientific documents; Question answering and question generation for scholarly documents; Word sense disambiguation, acronym identification and expansion, and definition extraction; Document summarization, text mining, document topic classification, and machine reading comprehension for scientific documents; Graph analysis applications including knowledge graph construction and representation, graph reasoning and query knowledge graphs; Biomedical image processing, scientific image plagiarism detection, and data visualization; Code/Pseudo-code generation from text and im-age/diagram captioning, New language understanding resources such as new syn-tactic/semantic parsers, language models or techniques to encode scholarly text; Survey or analysis papers on scientific document under-standing and new tasks and challenges related to each scientific domain; Factuality, data verification, and anti-science detection.
Avon Lake Girl Hangs Herself, Grants For Raising Bison, Frases Para Cobrar A Clientes Morosos, Kahalagahan Ng Bagong Taon, Articles K