The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. 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. Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. By registering, you agree to receive emails from UdeM. Babies learn their first language through listening, talking, and interacting with adults. Apr 25th through Fri the 29th, 2022. . 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. For example, AI tools are built to ease the workload for teachers. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. 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/. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). The trustworthy issues of clinical AI methods were not discussed. Xiaojie Guo, Yuanqi Du, Liang Zhao. The aim of the hack-a-thon is not only to foster innovation and potentially provide answers to outstanding research problems, but rather to engage the community and create new collaborations. Would you like to mark this message as the new best answer? 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. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. Authors are strongly encouraged to make data and code publicly available whenever possible. 1059-1072, May 1 2017. Extracting knowledge or insights from this abundance of data lies at the heart of 21st century discovery, which can be used to inform decisions, coordinate activities, optimize processes, improve products and services, as well as enhance productivity and innovation across a wide range of business and scientific problems. Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. December, 12-16, 2022. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. We collaborate with Saudi Aramco to use machine learning for simulating oil and water flows, . ML4OR will serve as an interdisciplinary forum for researchers in both fields to discuss technical issues at this interface and present ML approaches that apply to basic OR building blocks (e.g., integer programming solvers) or specific applications. The format is the standard double-column AAAI Proceedings Style. All extended abstracts and full papers are to be presented at the poster sessions. Information extraction from text and semi-structured documents. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. Xiaosheng Li, Jessica Lin, and Liang Zhao. For research track papers and applied data science track papers. 5 (2014): 1447-1459. Authors are invited to send a contribution in the AAAI-22 proceedings format. Aryan Deshwal (Washington State University, aryan.deshwal@wsu.edu), Syrine Belakaria (Washington State University, syrine.belakaria@wsu.edu), Cory Simon (Oregon State University, cory.simon@oregonstate.edu), Jana Doppa (Washington State University, jana.doppa@wsu.edu), Yolanda Gil (University of Southern California, gil@isi.edu), Supplemental workshop site:https://ai-2-ase.github.io/. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safer. California, United Stes. We will also have a video component for remote participation. References will not count towards the page limit. All papers must be submitted in PDF format, using the AAAI-22 author kit. The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. Rabat, Morocco . We are interested in a broad range of topics, both foundational and applied. Analytical cookies are used to understand how visitors interact with the website. KDD 2023 August 06-10, 2023. Accepted papers will be published in the workshop proceedings. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. This AAAI workshop aims to bring together researchers from core AI/ML, robotics, sensing, cyber physical systems, agriculture engineering, plant sciences, genetics, and bioinformatics communities to facilitate the increasingly synergistic intersection of AI/ML with agriculture and food systems. The paper submissions must be in pdf format and use the AAAI official templates. Researchers from related domains are invited to submit papers on recent advanced technologies, resources, tools and challenges for VTU. Ourprevious workshop at AAAI-21generated significant interest from the community. 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. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. Small Molecule Generation via Disentangled Representation Learning. Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. Integration of neuro and symbolic approaches. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. Qiang Yang, Hong Kong University of Science and Technology/ WeBank, China, (qyang@cse.ust.hk ), Sin G. Teo, Institute for Infocomm Research, Singapore (teosg@i2r.a-star.edu.sg), Han Yu, Nanyang Technological University, Singapore (han.yu@ntu.edu.sg), Lixin Fan, WeBank, China (lixinfan@webank.com), Chao Jin, Institute for Infocomm Research, Singapore (jin_chao@i2r.a-star.edu.sg), Le Zhang, University of Electronic Science and Technology of China (zhangleuestc@gmail.com), Yang Liu, Tsinghua University, China (liuy03@air.tsinghua.edu.cn), Zengxiang Li, Digital Research Institute, ENN Group, China (lizengxiang@enn.cn), Workshop site:http://federated-learning.org/fl-aaai-2022/. Paper Submission:November 12, 2021, 11:59 pm (anywhere on earth) Author Notification: December 3, 2021Full conference:February 22 March 1, 2022Workshop:February 28 March 1, 2022. 2020. "SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning." Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao. Topics of interest include but are not limited to: (1) Survey papers summarizing recent advances in RL with applicability to ED; (2) Developing toolkits and datasets for applying RL methods to ED; (3) Using RL for online evaluation and A/B testing of different intervention strategies in ED; (4) Novel applications of RL for ED problem settings; (5) Using pedagogical theories to narrow the policy space of RL methods; (6) Using RL methodology as a computational model of students in open-ended domains; (7) Developing novel offline RL methods that can efficiently leverage historical student data; (8) Combining statistical power of RL with symbolic reasoning to ensure the robustness for ED. Checklist for Revising a SIGKDD Data Mining Paper: Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. 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. 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. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, 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. Thirty-First AAAI Conference on Artificial Intelligence, pp. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Frontiers in Neurorobotics, (impact factor: 2.574), accepted. 11, 2022: We have posted the list of accepted Workshops at, Apr. December, 09-12, 2022. We will specifically invite participants of the DSTC10 tasks, track organizers, and authors of accepted papers in the general technical track. 2020. [slides] and deep learning techniques (e.g. The reproducibility papers include a clarification phase: Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone. Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo, and Liang Zhao. The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2021), (acceptance rate: 23.6%), accepted. The accepted papers are allowed to be submitted to other conference venues. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. In the financial services industry particularly, a large amount of financial analysts work requires knowledge discovery and extraction from different data sources, such as SEC filings and industry reports, etc., before they can conduct any analysis. job seekers, employers, recruiters and job agents. 4 (2014): 185-195. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. Time Series Clustering in Linear Time Complexity. Realizing the vision of Document Intelligence remains a research challenge that requires a multi-disciplinary perspective spanning not only natural language processing and understanding, but also computer vision, layout understanding, knowledge representation and reasoning, data mining, knowledge discovery, information retrieval, and more all of which have been profoundly impacted and advanced by deep learning in the last few years. Online and Distributed Robust Regressions with Extremely Noisy Labels. 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. This policy also applies to papers that overlap substantially in technical content with papers previously published, accepted, or under review. Xiaojie Guo, Lingfei Wu, Liang Zhao. Recent years have witnessed growing interest in human and AI systems with the increasing realisation that machines can indeed meet objectives specified but the real question becomes have they been given the right objectives. Counter-intuitive behaviors of ML models will largely affect the public trust on AI techniques, while a revolution of machine learning/deep learning methods may be an urgent need. It is one of the key bottlenecks for financial services companies to improve their operating productivity. Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." Multi-objective Deep Data Generation with Correlated Property Control. Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. In the coronavirus era, requiring many schools to move to online learning, the ability to give feedback at scale could provide needed support to teachers. Some good examples include recommender systems, clustering, graph mining, Adverse event detection by integrating Twitter data and VAERS. We invite submissions to the AAAI-22 workshop on Graphs and more Complex structures for Learning and Reasoning to be held virtually on February 28 or March 1, 2022. 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 KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. 29, no. Countdowns to conference deadlines in the field of autonomous driving. Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons 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. It highlights the importance of declarative languages that enable such integration for covering multiple formalisms at a high-level and points to the need for building a new generation of ML tools to help domain experts in designing complex models where they can declare their knowledge about the domain and use data-driven learning models based on various underlying formalisms. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . November 11-17, 2023. Disease Contact Network. Note: This is the inaugural event of a conference dedicated to Graph Machine Learning. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. It does not store any personal data. "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. Paper Final Version Due: Monday August 1, 2022. Oct 14, 2021: Abstract Deadline. Track 2 focuses on the state of the art advances in the computational jobs marketplace. Submissions can be original research contributions, or abstracts of papers previously submitted to top-tier venues, but not currently under review in other venues and not yet published. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. Linguistic analysis of business documents. Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Positive applications of adversarial ML, i.e., adversarial for good. Introduction: SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining.SIGKDD will encourage: basic research in KDD (through annual research conferences, newsletter and other related activities . Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. 689-698, Barcelona, Spain, Dec 2016. Attendance is open to all. 1799-1808. 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.
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