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. fact-checking. [paper] Participants are welcomed to submit their system reports to be presented in the workshop. We expect 50-65 people in the workshop. Chen Ling, Hengning Cao, Liang Zhao. 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. and Simone Stumpf (Univ. 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. Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. This will include invited talks, poster sessions and a panel to discuss the achievements of past DSTC series, and future direction. Submissions of technical papers can be up to 7 pages excluding references and appendices. "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", 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. Submission at:https://easychair.org/my/conference?conf=edsmls2022. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. 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. "A Topic-focused Trust Model for Twitter." We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. Deep Geometric Neural Networks for Spatial Interpolation. 4 (2014): 185-195. Submissions will be accepted via the Easychair submission website. Functional Connectivity Prediction with Deep Learning for Graph Transformation. ACM Transactions on Spatial Algorithms and Systems (TSAS), accepted. Algorithms and theories for trustworthy AI models. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, accepted (acceptance rate: 19.9%), pp. Online Flu Epidemiological Deep Modeling on The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Key obstacles include lack of high-quality data, difficulty in embedding complex scientific and engineering knowledge in learning, and the need for high-dimensional design space exploration under constrained budgets. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. Onn Shehory, Bar Ilan University (onn.shehory@biu.ac.il), Eitan Farchi, IBM Research Haifa (farchi@il.ibm.com), Guy Barash, Western Digital (Guy.Barash@wdc.com), Supplemental workshop site:https://sites.google.com/view/edsmls-2022/home. Table identification and extraction from business documents. All submissions must be original contributions and will be peer reviewed, single-blinded. "GA-based principal component selection for production performance estimation in mineral processing." Trade-Off between Privacy-Preserving and Explainable Federated Learning Federated Learning Multi-Party Computation, Federated Learning Homomorphic Encryption, Federated Learning Personalization Techniques, Federated Learning Meets Mean-Field Game Theory, Federated Learning-based Corporate Social Responsibility. 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. SDU will be a one-day 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. Adverse event detection by integrating Twitter data and VAERS. Workshops are one day unless otherwise noted in the individual descriptions. Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc. https://doi.org/10. ), Learning with algebraic or combinatorial structure, Link analysis/prediction, node classification, graph classification, clustering for complex graph structures, Theoretical analysis of graph algorithms or models, Optimization methods for graphs/manifolds, Probabilistic and graphical models for structured data, Unsupervised graph/manifold embedding methods. At least one author of each accepted submission must be present at the workshop. Disentangled Dynamic Graph Deep Generation, SIAM International Conference on Data Mining (SDM 2021), (acceptance rate: 21.3%), accepted. Each paper will be reviewed by three reviewers in double-blind. The 11th International Conference on Learning Representations (ICLR 2023), accepted. 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. The AAAI template https://aaai.org/Conferences/AAAI-22/aaai22call/ should be used for all submissions. Submissions will be peer reviewed, single-blinded. "How events unfold: spatiotemporal mining in social media." Kyoto . At AAAI 2021, we successfully organized this workshop (https://taih20.github.io/). Shi, Y., Deng, M., Yang, X., Liu, Q., Zhao, L., & Lu, C. T. "A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter." BERT and GPT in NLP and SimCLR and BYOL in CV are famous examples in this direction. 27, 2022: Please check out Speical Days at, Apr. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Merge remote-tracking branch 'origin/master', 2. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. Yanfang Ye, Yiming Zhang, Yujie Fan, Chuan Shi and Liang Zhao. PLOS ONE (impact factor: 3.534), vo. It is well-known that deep learning techniques that were disruptive for Euclidean data such as images or sequence data such as text are not immediately applicable to graph-structured data. Guangji Bai, Chen Ling, Liang Zhao. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. Knowledge representation for business documents. Lyle Unga (University of Pennsylvania, ungar@cis.upenn.edu), Rahul Ladhania* (University of Michigan, ladhania@umich.edu, primary contact), Linnea Gandhi (University of Pennsylvania, lgandhi@wharton.upenn.edu), Michael Sobolev (Cornell Tech, michael.sobolev@cornell.edu), Supplemental workshop site:https://ai4bc.github.io/ai4bc22/, For any questions, please reach out to us at ai4behaviorchange at gmail dot com. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. Three specific roles are part of this format: session chairs, presenters and paper discussants. 1, 2022: Call For Paper: The Undergraduate Consortium at SIGKDD 2022 is available at, Mar. Securing personal information, genomics, and intellectual property, Adversarial attacks and defenses on biomedical datasets, Detecting and preventing spread of misinformation, Usable security and privacy for digital health information, Phishing and other attacks using health information, Novel use of biometrics to enhance security, Machine learning (including RL) security and resiliency, Automation of data labeling and ML techniques, Operational and commercial applications of AI, Explanations of security decisions and vulnerability of explanations. Why did so many AI/ML models fail during the pandemic? 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. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. The 21st Web Conference (WWW 2022), (Acceptance Rate: 17.7%), accepted. 41-50, New Orleans, US, Dec 2017. Novel ML-accelerated optimization for conceptual/detailed system design. Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Fanny Ye, Chang-tien Lu, and Naren Ramakrishnan. Note: This is the inaugural event of a conference dedicated to Graph Machine Learning. Through invited talks and presentations by the participants, this workshop will bring together current advances in Network Science as well as Machine Learning, and set the stage for continuing interdisciplinary research discussions. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. [paper] 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. 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. It has profoundly impacted several areas, including computer vision, natural language processing, and transportation. Cleansing and image enhancement techniques for scanned documents. 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. In addition, several invited speakers with distinguished professional background will give talks related the frontier topics of GNN. We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. 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. For each accepted paper, at least one author must attend the workshop and present the paper. In addition, authors can provide an optional one page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. It provides an international forum . Chen Ling, Carl Yang, Liang Zhao. Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. Disease Contact Network. 2022. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Apr 25th through Fri the 29th, 2022. . In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Liang Zhao, Feng Chen, and Yanfang Ye. World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. Deep Generative Model for Periodic Graphs. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Conference Series : Knowledge Discovery and Data Mining Link: https://kdd.org/kdd2022/ Call For Papers [Empty] Related Resources KDD 2023 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING Xiaojie Guo and Liang Zhao. Reasons include: (1) a lack of certification of AI for security, (2) a lack of formal study of the implications of practical constraints (e.g., power, memory, storage) for AI systems in the cyber domain, (3) known vulnerabilities such as evasion, poisoning attacks, (4) lack of meaningful explanations for security analysts, and (5) lack of analyst trust in AI solutions. https://doi.org/10.1007/s10707-019-00376-9. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Moreover, to tackle and overcome several issues in personalized healthcare, information technology will need to evolve to improve communication, collaboration, and teamwork among patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. At the AAAI 2022 Workshop on Video Transcript Understanding (VTU @ AAAI 2022), we aim to bring together researchers from various domains to make the best of the knowledge that all these videos contain. All these changes require novel solutions, and the AI community is well-positioned to provide both theoretical- and application-based methods and frameworks. 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. Important Dates. 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. 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. for causal estimation in behavioral science. VDS@KDD will be hybrid and VDS@VIS will be hybrid (both virtual and in-person) in 2022. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. As far as we know, we are the first workshop to focus on practical deep learning in the wild for AI, which is of great significance. Papers will be peer-reviewed and selected for spotlight and/or poster presentation. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. The advances in web science and technology for data management, integration, mining, classification, filtering, and visualization has given rise to a variety of applications representing real-time data on epidemics. 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. What safety engineering considerations are required to develop safe human-machine interaction? This workshop brings together researchers from diverse backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. Zirui Xu, Fuxun Xu, Liang Zhao, and Xiang Chen. Accepted submissions will be notified latest by August 7th, 2022. While most work on XAI has focused on opaque learned models, this workshop also highlights the need for interactive AI-enabled agents to explain their decisions and models. Some existing research also presents that there is a trade-off between the robustness and accuracy of deep learning models. 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. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021), (acceptance rate: 23.6%), accepted. July 21: Clarified that the workshop this year will be held in-person. This date takes priority over those shown below and could be extended for some programs. Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. information bottleneck principle). 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. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). Send this CFP to us by mail: cfp@ourglocal.org. The AAAI-22 workshop program includes 39 workshops covering a [] Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. The Conference. These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. 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. We allow papers that are concurrently submitted to or currently under review at other conferences or venues. Extended abstracts should not exceed 2 pages, excluding references. Aug 14-18. 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. Zheng Zhang and Liang Zhao. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. This manual extraction process is usually inefficient, error-prone, and inconsistent. 2022. Self-supervised learning utilizes proxy supervised learning tasks, for example, distinguishing parts of the input signal from distractors, or generating masked input segments conditioned on the unmasked ones, to obtain training data from unlabeled corpora. 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). Identification of information-theoretic quantities relevant for causal inference and discovery. We invite the submission of original and high-quality research papers in the topics related to biased or scarce data. New self-supervised proxy tasks or new approaches using self-supervised models in speech and audio processing. December, 09-12, 2022. Some of the key questions to be explored include: The workshop will take place in person and will span over one day. Please keep your paper format according to AAAI Formatting Instructions (two-column format). convolutional neural network (CNN), recurrent neural network (RNN), etc.) Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, and Liang Zhao. Previously published work (or under-review) is acceptable. A challenge is how to integrate people into the learning loop in a way that is transparent, efficient, and beneficial to the human-AI team as a whole, supporting different requirements and users with different levels of expertise. Poster/short/position papers submission deadline: Nov 5, 2021Full paper submission deadline: Nov 5, 2021Paper notification: Dec 3, 2021. 507-516, Singapore, Nov 2017. Highlights: Government day with NSF, NIH, DARPA, NIST, and IARPA Local industries in the DC Metro Area, including the Amazon's second headquarter New initiatives at KDD 2022: undergraduate research and poster session Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel Workshops and hands-on tutorials on emerging topics This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. "Multi-resolution Spatial Event Forecasting in Social Media." Brave new ideas to learn AI models under bias and scarcity. in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), (acceptance rate: 22%), Vancouver, BC, pp. Can AI achieve the same goal without much low-level supervision? Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! Novel mechanisms for eliciting and consuming user feedback, recommender, structured and generative models, concept acquisition, data processing, optimization; HCI and visualization challenges; Analysis of human factors/cognition and user modelling; Design, testing and assessment of IML systems; Studies on risks of interaction mechanisms, e.g., information leakage and bias; Business use cases and applications. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. 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. to protect data owner privacy in FL. 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. 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. 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. 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. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci. Optimal transport-based machine learning paradigms; Trustworthy machine learning from the perspective of optimal transport. Deep Graph Learning for Circuit Deobfuscation. SIGSPATIAL Special (invited paper), vo. Hua, Ting, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. job seekers, employers, recruiters and job agents. ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. At least one author of each accepted submission must present the paper at the workshop. Babies learn their first language through listening, talking, and interacting with adults. 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. We invite submission of papers describing innovative research and applications around the following topics. Scott E. Fahlman, School of Computer Science, Carnegie Mellon University (sef@cs.cmu.edu), Edouard Oyallon, Sorbonne Universit LIP6 (Edouard.oyallon@lip6.fr), Dean Alderucci, School of Computer Science, Carnegie Mellon University, (dalderuc@cs.cmu.edu). You also have the option to opt-out of these cookies. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. ASPLOS 2023 will be moving to three submission deadlines. 7, no. SIAM International Conference on Data Mining (SDM 2023) (Acceptance Rate: 27.4%), accepted. The audience of this workshop will be researchers and students from a wide array of disciplines including, but not limited to, statistics, computer science, economics, public policy, psychology, management, and decision science, who work at the intersection of causal inference, machine learning, and behavior science. This website uses cookies to improve your experience while you navigate through the website. 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. 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. 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. 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. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). We cordially welcome researchers, practitioners, and students from academia and industry who are interested in understanding and discussing how data scarcity and bias can be addressed in AI to participate. This has created a strong demand for transcript understanding. How to Write and Publish Research Papers for the Premier Forums in Knowledge & Data Engineering: ETA (expected time-of-arrival) prediction. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. 689-698, Barcelona, Spain, Dec 2016. Published March 4, 2023 4:51 a.m. PST. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Nowadays, machine learning solutions are widely deployed. 17th International Workshop on Mining and Learning with Graphs. What techniques and approaches can be used to detect and effectively manage similar scenarios in the future? Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . KDD 2022. The program of the workshop will include invited talks, paper presentations and a panel discussion. At least one author of each accepted submission must register and present their paper at the workshop. We hope to build upon that success. Algorithms for secure and privacy-aware machine learning for AI. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. The workshop follows a single-blind reviewing process. The AAAI-22 workshop program includes 39 workshops covering a wide range of topics in artificial intelligence. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Saliency-regularized Deep Multi-task Learning.

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