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. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Linguistic analysis of business documents. The goal of ITCI22 is to bring together researchers working at the intersection of information theory, causal inference and machine learning in order to foster new collaborations and provide a venue to brainstorm new ideas, exemplify to the information theory community causal inference and discovery as an application area and highlight important technical challenges motivated by practical ML problems, draw the attention of the wider machine learning community to the problems at the intersection of causal inference and information theory, and demonstrate to the community the utility of information-theoretic tools to tackle causal ML problems. Full papers are allocated 20m presentation and 10m discussion. We expect 50~75 participants and potentially more according to our past experiences. Please email to Lingfei Wu: lwu@email.wm.edu for any query. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Applications of causal inference and discovery in machine learning/deep learning motivated by information-theoretic approaches (e.g. Attendance is open to all, subject to any room occupancy constraints. Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. We hope to build upon that success. "The EMBERS architecture for streaming predictive analytics." If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. 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. There will be about 60~85 people to participate, including the program committee, invited speakers, panelists, authors of accepted papers, winners of the competition and other interested people. The challenge requires participants to build competitive models for diverse downstream tasks with limited labeled data and trainable parameters, by reusing self-supervised pre-trained networks. The workshop will include several technical sessions, a virtual poster session where presenters can discuss their work, to further foster collaborations, multiple invited speakers covering crucial aspects for the practical deep learning in the wild, especially the efficient and robust deep learning, some tutorial talks, the challenge for efficient deep learning and solution presentations, and will conclude with a panel discussion. ACM RecSys 2022 will be held in Seattle, USA, from September 18 - 23, 2022. 2020. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. Brave new ideas to learn AI models under bias and scarcity. An Invertible Graph Diffusion Model for Source Localization. Additional advantages are possible, including decreased computational resources to solve a problem, reduced time for the network to make predictions, reduced requirements for training set size, and avoiding catastrophic forgetting. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Workshops are one day unless otherwise noted in the individual descriptions. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. 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. We invite submission of papers describing innovative research and applications around the following topics. Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, and Liang Zhao. Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. Submissions will be accepted via the Easychair submission website. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. Check the CFP for details Deadline: ICDM 2020 . In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. 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. Accepted submissions will be notified latest by August 7th, 2022. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. Big Data 2022 December 13-16, 2022. All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. All submissions must be in PDF format and formatted according to the new Standard AAAI Conference Proceedings Template. The post-lunch session will feature one long talk, two short talks, and a poster session. "Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design", 28th International Conference on Field Programmable Logic and Applications (FPL 2019), (acceptance rate: 18%), Barcelona, Spain, accepted. Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors. 2022. These submissions would benefit from additional exposure and discussion that can shape a better future publication. It does not store any personal data. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. We invite paper submission with a focus that aligns with the goals of this workshop. Theoretical understanding of adversarial ML and its connection to other areas. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. This topic encompasses forms of Neural Architecture Search (NAS) in which the performance properties of each architecture, after some training, are used to guide the selection of the next architecture to be tried. Complex systems are often characterized by several components that interact in multiple ways among each other. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. All submissions must be anonymous and conform to AAAI standard for double-blind review. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. To adapt SSL frameworks to build effective human-centric deep learning solutions for human-centric data, a number of key challenges and opportunities need to be explored. Recently self-supervised approaches for speech/audio processing are also gaining attention. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena et al. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. The workshop on Robust Artificial Intelligence System Assurance (RAISA) will focus on research, development and application of robust artificial intelligence (AI) and machine learning (ML) systems. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Data Mining and Knowledge Discovery (DMKD), (impact factor: 3.670), accepted. robust and interpretable natural language processing for healthcare. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. [materials]. Precision agriculture and farm management, Development of open-source software, libraries, annotation tools, or benchmark datasets, Bias/equity in algorithmic decision-making, AI for ITS time-series and spatio-temporal data analyses, AI for the applications of transportation, Applications and techniques in image recognition based on AI techniques for ITS, Applications and techniques in autonomous cars and ships based on AI techniques. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. 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 Natural language reasoning and inference. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. 2999-3006, New Orleans, US, Feb 2018. This date takes priority over those shown below and could be extended for some programs. Are you sure you want to create this branch? Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. 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 Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. It drives discoveries in business, economy, biology, medicine, environmental science, the physical sciences, the humanities and social sciences, and beyond. This cookie is set by GDPR Cookie Consent plugin. Alan Yuille (Professor, Johns Hopkins University); Hao Su (Assistant Professor, UC San Diego); Rongrong Ji (Professor, Xiamen University); Xianglong Liu (Professor, Beihang University); Jishen Zhao (Associate Professor, UC San Diego); Tom Goldstein (Associate Professor, University of Maryland); Cihang Xie (Assistant Professor, UC Santa Cruz); Yisen Wang (Assistant Professor, Peking University); Bohan Zhuang (Assistant Professor, Monash University), Haotong Qin (Beihang University), Yingwei Li (Johns Hopkins University), Ruihao Gong (SenseTime Research), Xinyun Chen (UC Berkeley), Aishan Liu (Beihang University), Xin Dong (Harvard University), Jindong Guo (University of Munich), Yuhang Li (Yale University), Yiming Li (Tsinghua University), Yifu Ding (Beihang University), Mingyuan Zhang (Nanyang Technological University), Jiakai Wang (Beihang University), Jinyang Guo (University of Sydney), Renshuai Tao (Beihang University), Workshop site:https://practical-dl.github.io/. 29, no. ^All accepted WSDM papers are associated with an interactive poster presentation in addition to oral presentations. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. This workshop aims to bring together FL researchers and practitioners to address the additional security and privacy threats and challenges in FL to make its mass adoption and widespread acceptance in the community. The topics for AIBSD 2022 include, but are not limited to: This one-day workshop will include invited talks from keynote speakers, and oral/spotlight presentations of the accepted papers. ASPLOS 2023 will be moving to three submission deadlines. It leverages many emerging privacy-preserving technologies (SMC, Homomorphic Encryption, differential privacy, etc.) In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. 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. Han Wang, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Liang Zhao, Tinoosh Mohsenin, Setareh Rafatirad. Panel discussion: Interactive Q&A session with a panel of leading researchers. Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. Deadline: Fri Jun 09 2023 04:59:00 GMT-0700 Yahoo! These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. May 8, 2022: Student Travel Awards announcement is, Apr. fact-checking. Xiaosheng Li, Jessica Lin, Liang Zhao. Computer Communications, (impact factor: 3.34), Elsevier, vo. These research trends inform the need to explore the intersection of AI with behavioral science and causal inference, and how they can come together for applications in the social and health sciences. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. and deep learning techniques (e.g. Note: The workshop is a collaboration between NASSMA organisation, Deepmind and UM6P. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. If it turns out that the architecture is not appropriate for the task, the user must repeatedly adjust the architecture and retrain the network until an acceptable architecture has been obtained. Please note that the KDD Cup workshop will have no proceedings and the authors retain full rights to submit or post the paper at any other venue. Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. 2022. to protect data owner privacy in FL. 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. ACM, New York, NY, USA, 10 pages. 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. World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. Kaiqun Fu, Taoran Ji, Liang Zhao, and Chang-Tien Lu. 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. 105, no. of Graz), Cynthia Rudin (Duke Univ.) Cleansing and image enhancement techniques for scanned documents. 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. "Multi-resolution Spatial Event Forecasting in Social Media." Submission URL:https://easychair.org/conferences/?conf=rl4edaaai22. Submission Guidelines Submitting a short or long paper to VDS will give authors a chance to present at VDS events at both ACM KDD 2022(hybrid) and IEEE VIS 2022( hybrid). First, large data sources, both conventionally used in social sciences (EHRs, health claims, credit card use, college attendance records) and unconventional (social networks, fitness apps), are now available, and are increasingly used to personalize interventions. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 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. Data Mining Conference Acceptance Rate. We invite submissions from participants who can contribute to the theory and applications of modeling complex graph structures such as hypergraphs, multilayer networks, multi-relational graphs, heterogeneous information networks, multi-modal graphs, signed networks, bipartite networks, temporal/dynamic graphs, etc. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. For general inquiries about AI2ASE, please write to the lead organizer aryan.deshwal@wsu.edu or jana.doppa@wsu.edu. Andrew White, University of RochesterDr. RES: A Robust Framework for Guiding Visual Explanation. Integration of neuro and symbolic approaches. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. Algorithms for secure and privacy-aware machine learning for AI. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. The workshop will focus on the application of AI to problems in cyber-security. The workshop will be a one-day meeting and will include a number of technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a tutorial talk, and will conclude with a panel discussion. Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. Registration information will be mailed directly to all invited participants in December. New theory and fundamentals of AI-aided design and manufacturing. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop.