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We welcome submissions of long (max. Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. 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. 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. ISBN: 978-981-16-6053-5. The submissions must follow the formatting guidelines for AAAI-22. : Kaiqun Fu, Taoran Ji, Liang Zhao, and Chang-Tien Lu. Autonomous vehicles can share their detected information (e.g., traffic signs, collision events, etc.) Social Media based Simulation Models for Understanding Disease Dynamics. What AI safety considerations and experiences are relevant from industry? 4498-4505, New Orleans, US, Feb 2018. PLOS ONE (impact factor: 3.534), vo. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Prof. Max Welling, University of Amsterdam and Microsoft ResearchProf. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. Although textual data is prevalent in a large amount of finance-related business problems, we also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. BEAN: Interpretable and Efficient Learning with Biologically-Enhanced Artificial Neuronal Assembly. Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. 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. ASPLOS 2023 will be moving to three submission deadlines. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. 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. in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), research track, (acceptance rate: 19.4%), Sydney, Australia, pp. Washington DC, USA. Question answering on business documents. These complex demands have brought profound implications and an explosion of interest for research into the topic of this workshop, namely building practical AI with efficient and robust deep learning models. Share. Creative Commons Attribution-Share Alike 3.0 License, 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, Knowledge Discovery and Data Mining Conference, 22nd ACM SIGKDD international conference on knowledge discovery and data mining, 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 18th ACM SIGKDD Knowledge Discovery and Data Mining, The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. This workshop seeks to explore new ideas on AI safety with particular focus on addressing the following questions: Contributions are sought in (but are not limited to) the following topics: To deliver a truly memorable event, we will follow a highly interactive format that will include invited talks and thematic sessions. Knowledge Discovery and Data Mining. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Disentangled Dynamic Graph Deep Generation, SIAM International Conference on Data Mining (SDM 2021), (acceptance rate: 21.3%), accepted. You also have the option to opt-out of these cookies. 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. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. Submissions that do not meet the formatting requirements will be rejected without review. By the end of this century, the earths population is projected to increase by 45% with available arable land decreasing by 20% coupled with changes in what crops these arable lands can best support; this creates the urgent need to enhance agricultural productivity by 70% before 2050. Deep Generation of Heterogeneous Networks. How can we characterize or evaluate AI systems according to their potential risks and vulnerabilities? This date takes priority over those shown below and could be extended for some programs. 639-648, Nov 2015. NOTE: Mandatory abstract deadline on Oct 13, 2022. Information theory has demonstrated great potential to solve the above challenges. 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. Poster session: One poster session of all accepted papers which leads for interaction and personal feedback to the research. Hua, Ting, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. The paper submissions must be in pdf format and use the AAAI official templates. Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong. 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. Conference Deadlines - I.timyang.vip This cookie is set by GDPR Cookie Consent plugin. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. 2020. Each accepted paper presentation will be allocated between 15 and 20 minutes. Are you sure you want to create this branch? This one-day workshop will bring concentrated discussions on self-supervision for the field of speech/audio processing via keynote speech, invited talks, contributed talks and posters based on community-submitted high-quality papers, and the result representation of SUPERB and Zero Speech challenge. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. 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 ). Accepted papers are likely to be archived. A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. Attendance is open to all, subject to any room occupancy constraints. 963-971, Apr-May 2015. 2022. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. This workshop aims to explore and advance the current state of research and practice, including but not limited to the following topics: In addition to the invited talks and the panel discussion on topics related to Document Intelligence, the workshop program will include paper sessions which provides an opportunity to present peer-reviewed work on the topic related to Document Intelligence. to protect data owner privacy in FL. Continuous refinement of AI models using active/online learning. Adverse event detection by integrating Twitter data and VAERS. Paper Submission Deadline: 23:59 on Thursday. Short or position papers of up to 4 pages are also welcome. For questions on submission and the workshop, please send email through the following link: Track 1: Tony Qin (Lyft), Rui Song (NC State & Amazon), Hongtu Zhu (UNC), Michael Jordan (Berkeley), Track 2: Liangjie Hong (LinkedIn), Mohammed Korayem (CareerBuilder), Haiyan Luo (Indeed). Dataset(s) will be provided to hack-a-thon participants. Natural language reasoning and inference. This workshop has no archival proceedings. Papers will be peer-reviewed and selected for spotlight and/or poster presentation at the workshop. Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, et al.. "'Beating the news' with EMBERS:forecasting civil unrest using open source indicators." 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). Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang. All papers will be peer reviewed, single-blinded. The AAAI-22 workshop program includes 39 workshops covering a [] . For example, failures in IoT can result in infrastructure disruptions, and failures in autonomous cars can lead to congestion and crashes. In general, AI techniques are still not widely adopted in the real world. [Best Paper Award]. sup-port vector machine (SVM), decision tree, random forest, etc.) convolutional neural network (CNN), recurrent neural network (RNN), etc.) July 22: The workshop Programis up! Options include pruning a trained network or training many networks automatically. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. We will also select some of the best posters for spotlight talks (2 minutes each). "Spatiotemporal Event Forecasting in Social Media." 2022. 4 pages), and position (max. Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. 2020. 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/. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. Submissions including full papers (6-8 pages) and short papers (2-4 pages) should be anonymized and follow the AAAI-22 Formatting Instructions (two-column format) at https://www.aaai.org/Publications/Templates/AuthorKit22.zip. Each paper will be reviewed by three reviewers in double-blind. [Best Paper Award Shortlist]. 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 However, ML systems may be non-deterministic; they may re-use high-quality implementations of ML algorithms; and, the semantics of models they produce may be incomprehensible. Accepted submissions will have the option of being posted online on the workshop website. Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. However, most models and AI systems are built with conservative operating environment assumptions due to regulatory compliance concerns. Template guidelines are here:https://www.acm.org/publications/proceedings-template. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. Junxiang Wang, Fuxun Yu, Xiang Chen, and Liang Zhao. We welcome full paper submissions (up to 8 pages, excluding references or supplementary materials). Deep Geometric Neural Networks for Spatial Interpolation. 40 attendees including: invited speakers, authors of accepted papers and shared task participants. At the same time, multimodal hate-speech detection is an important problem but has not received much attention. CS Conference Deadlines - Yanlin Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. 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. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. 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. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. 2022. 625-634, New Orleans, US, Dec 2017. Universit de MontralOffice of Admissions and RecruitmentC. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. 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. 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. We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. There will be live Q&A sessions at the end of each talk and oral presentation. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Innovation, Service, and Rising Star Awards. 2022. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. 1799-1808. Rex Ying's Personal Website Send this CFP to us by mail: cfp@ourglocal.org. Performance characterization of AI algorithms and systems under bias and scarcity. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. We expect 50-65 people in the workshop. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), accepted. Pourya Hoseinip, Liang Zhao, and Amarda Shehu. This workshop aims to bring together researchers and practitioners working on different facets of these problems, from diverse backgrounds to share challenges, new directions, recent research results, and lessons from applications. 1, 2022: Call For Paper: The Undergraduate Consortium at SIGKDD 2022 is available at, Mar. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. In addition, broad deployment of ML software in networked systems inevitably exposes ML software to attacks. Welcome to PAKDD2022. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. 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. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. [Best Paper Award]. Deep Classifier Cascades for Open World Recognition. The industry session will emphasize practical industrial product developments using GNNs. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. 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. ML4OR will place particular emphasis on: (1) ML methodologies for enhancing traditional OR algorithms for integer programming, combinatorial optimization, stochastic programming, multi-objective optimization, location and routing problems, etc. AI Conference Deadlines with other vehicles via vehicular communication systems (e.g., dedicated short range communication (DSRC), vehicular ad hoc networks (VANETs), long term evolution (LTE), and 5G/6G mobile networks) for cooperation. Submissions will be accepted via the Easychair submission website. Unsupervised Deep Subgraph Anomaly Detection. SIAM International Conference on Data Mining (SDM 2022), (Acceptance Rate: 26%), accepted. All papers must be submitted in PDF format, using the AAAI-22 author kit. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). Disease Contact Network. 40, no. The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. 19-25, 2016. of Graz), Cynthia Rudin (Duke Univ.) 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. All questions about submissions should be emailed to nurendra@vt.edu, AmazonKDDCup2022: KDD Cup 2022 Workshop: ESCI Challenge for Improving Product Search, Washington DC, DC, United States, August 17, 2022, https://easychair.org/conferences/?conf=amazonkddcup2022, https://www.acm.org/publications/proceedings-template. 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. These cookies ensure basic functionalities and security features of the website, anonymously. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Cleansing and image enhancement techniques for scanned documents. Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad. 10, pp. Inspired by the question, there is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2016), regular paper, (acceptance rate: 8.5%), pp. 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. Novel algorithms and theories to improve model robustness. Submissions will be peer reviewed, single-blinded. All the submissions must follow the AAAI-22 formatting guidelines, camera-ready style. 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. The AAAI Workshop on Machine Learning for Operations Research (ML4OR) builds on the momentum that has been directed over the past 5 years, in both the OR and ML communities, towards establishing modern ML methods as a first-class citizen at all levels of the OR toolkit. 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. 1145/3394486.3403221. "STED: semi-supervised targeted-interest event detectionin in twitter." Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting.Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), (acceptance rate: 16.2%), Hawaii, USA, Feb 2019, accepted. At least one author of each accepted submission must register and present the paper at the workshop. 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). We would especially like to highlight approaches that are qualitatively different from some popular but computationally intensive NAS methods. IBM Research, 2018. 15, pp. Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. 2022. 4 (2014): 185-195. DI@KDD2022 Call for Papers Organization Program Keynote Talk Accepted Papers Call for Papers Document Intelligence Workshop @ KDD 2022 UPDATES August 6: Final versions of the papersare posted! BERT and GPT in NLP and SimCLR and BYOL in CV are famous examples in this direction. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 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 All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. arXiv preprint arXiv:2302.02093 (2023). 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. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. and Simone Stumpf (Univ. An Invertible Graph Diffusion Model for Source Localization. Notable examples include the information bottleneck (IB) approach on the explanation of the generalization behavior of DNNs and the information maximization principle in visual representation learning. ICDM: International Conference on Data Mining 2024 2023 2022 - WikiCFP It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond. We are in a conversation with some publishers once they confirm, we will announce accordingly. Thirty-First AAAI Conference on Artificial Intelligence, pp. LOG 2022 LOG '22 . These challenges are widely studied in enterprise networks, but there are many gaps in research and practice as well as novel problems in other domains. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. 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. Some of the key questions to be explored include: The workshop will take place in person and will span over one day. Rabat, Morocco . Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci. 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. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Oct. 24, 2021: The KDD2022 website is LIVE! the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018) (acceptance rate: 20.6%), Stockholm, Sweden, Jul 2018, accepted. The discussion in the workshop can lead to implementing FL solutions that are more accurate, robust and interpretable, and gain the trust of the FL participants. Jan 13, 2022: Notification. Multi-objective Deep Data Generation with Correlated Property Control. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. Frontiers in Neurorobotics, (impact factor: 2.574), accepted. and deep learning techniques (e.g. The cookie is used to store the user consent for the cookies in the category "Other. 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. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. NOTE: May 19: Notification. [Call for papers] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, CFP: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems Workshop, Second Workshop on Marketplace Innovation.
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