Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. ), Programs also suitable for students not fluent in French, Information and Communication Technologies, Graduate (master's, specialized graduate diploma (DESS), microprogram): February 1, Graduate (master's, specialized graduate diploma (DESS), microprogram): September 1. SIGSPATIAL Special (invited paper), vo. 2022. Babies learn their first language through listening, talking, and interacting with adults. iDetective: An Intelligent System for Automatic Identification of Key Actors in Online Hack Forums. Some good examples include recommender systems, clustering, graph mining, Please keep your paper format according to AAAI Formatting Instructions (two-column format). 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. 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. 2999-3006, New Orleans, US, Feb 2018. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. Consult the list of programs available in the next session. At least one author of each accepted submission must be present at the workshop. Continuous refinement of AI models using active/online learning. Oilers Outperform Division Rivals at 2023 Trade Deadline Deep Graph Learning for Circuit Deobfuscation. 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. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. Application fees are not refundable. The main interest of the proposed workshop is to look at a new perspective of system engineering where multiple disciplines such as AI and safety engineering are viewed as a larger whole, while considering ethical and legal issues, in order to build trustable intelligent autonomy. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. Saliency-regularized Deep Multi-task Learning. LOG 2022 LOG '22 . 41-50, New Orleans, US, Dec 2017. The objective of this workshop is to discuss the winning submissions of the Submissions to the Amazon KDD Cup 2022 issingle-blind (author names and affiliations should be listed). Submission site:https://cmt3.research.microsoft.com/ITCI2022, Murat Kocaoglu, Chair (Purdue University, mkocaoglu@purdue.edu), Negar Kiyavash (EPFL, negar.kiyavash@epfl.ch), Todd Coleman (UCSD, tpcoleman@ucsd.edu), Supplemental workshop site:https://sites.google.com/view/itci22. 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. 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. [Best Poster Runner-Up Award]. Would you like to mark this message as the new best answer? Submissions will undergo double blind review. Attendance is open to all. 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. 40 attendees including: invited speakers, authors of accepted papers and shared task participants. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. 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! Accepted papers will be published in the workshop proceedings. 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. December, 12-16, 2022. 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. Some will be selected for spotlight talks, and some for the poster session. Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang. Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, live streams, meeting recordings, vlogs. It will start with a 60-minute mini-tutorial covering the basics of RL in games, and will include 2-4 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. Yuyang Gao and Liang Zhao. Applications of causal inference and discovery in machine learning/deep learning motivated by information-theoretic approaches (e.g. For example, failures in IoT can result in infrastructure disruptions, and failures in autonomous cars can lead to congestion and crashes. Fang Jin, Wei Wang, Liang Zhao, Edward Dougherty, Yang Cao, Chang-Tien Lu, and Naren Ramakrishnan. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. All extended abstracts and full papers are to be presented at the poster sessions. CFP - EasyChair The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . In recent years, various information theoretic principles have also been applied to different deep learning related AI applications in fruitful and unorthodox ways. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. 2022. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). The 11th International Conference on Learning Representations (ICLR 2023), accepted. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. We accept two types of submissions full research papers no longer than 8 pages (including references) and short/poster papers with 2-4 pages. Industry-wide reports highlight large-scale remediation efforts to fix the failures and performance issues. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Deadline in . and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. 2022. Topics of interest include, but are not limited to: Paper submissions will be in two formats: full paper (8 pages) and position paper (4 pages): The submission website ishttps://easychair.org/conferences/?conf=trase2022. 1145/3394486.3403221. We invite the submission of original and high-quality research papers in the topics related to biased or scarce data. We hope to build upon that success. 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. We welcome attendance from individuals who do not have something theyd like to submit but who are interested in RL4ED research. 7, no. Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). 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. Registration in each workshop is required by all active participants, and is also open to all interested individuals. The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), (Acceptance Rate: 25.6%), to appear, 2022. KDD 2022 KDD . 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. 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. 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 ). The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. NOTE: Mandatory abstract deadline on Oct 13, 2022. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery - WikiCFP Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. Knowledge representation for business documents. [paper] Deep Learning models are at the core of research in Artificial Intelligence research today. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. to protect data owner privacy in FL. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. 689-698, Barcelona, Spain, Dec 2016. 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. Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. Deadline: FSE 2023. 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. NOTE: May 19: Notification. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. An example of the latter is theCascade Correlation algorithm, as well as others that incrementally build or modify a neural network during training, as needed for the problem at hand. The workshop organizers invite paper submissions on the following (and related) topics: This workshop will be a one-day workshop, featuring invited speakers, poster presentations, and short oral presentations of selected accepted papers. Held in conjunction with KDD'22 Aug 15, 2022 - Washington DC, USA. Thank you for all your contributions, our, Paper submission deadline is now extended to. Xiaosheng Li, Jessica Lin, and Liang Zhao. A Systematic Survey on Deep Generative Models for Graph Generation. These models can also generate instant feedback to instructors and help them to improve their teaching effectiveness. "Misinformation Propagation in the Age of Twitter." Negar Etemadyrad, Qingzhe Li, Liang Zhao. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering Safety as a design principle rather than an option. Short or position papers of up to 4 pages are also welcome. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. "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. 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. in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. This calls for novel methods and new methodologies and tools to address quality and reliability challenges of ML systems. Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao. What AI safety considerations and experiences are relevant from industry? Functional Connectivity Prediction with Deep Learning for Graph Transformation. Conference stats are visualized below for a straightforward comparison. Deep Classifier Cascades for Open World Recognition. Han Wang, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Liang Zhao, Tinoosh Mohsenin, Setareh Rafatirad. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. 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. How do metrics of capability and generality, and the trade-offs with performance affect safety? Inspired by the question, there is a trend in the machine learning community to adopt self-supervised approaches to pre-train deep networks. 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. This workshop aims to provide a premier interdisciplinary forum for researchers in different communities to discuss the most recent trends, innovations, applications, and challenges of optimal transport and structured data modeling. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. Submit to: Submissions should be made via EasyChair athttps://easychair.org/conferences/?conf=it4dl, Jose C. Principe (University of Florida, principe@cnel.ufl.edu), Robert Jenssen (UiT The Arctic University of Norway, robert.jenssen@uit.no), Badong Chen (Xian Jiaotong University, chenbd@mail.xjtu.edu.cn), Shujian Yu (UiT The Arctic University of Norway, yusj9011@gmail.com), Supplemental workshop site:https://www.it4dl.org/. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. 1059-1072, May 1 2017. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. One recommended setting for Latex file is:\documentclass[sigconf, review]{acmart}. Kyoto . Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. The consideration and experience of adversarial ML from industry and policy making. Document structure and layout learning and recognition. "How events unfold: spatiotemporal mining in social media." These challenges and issues call for robust artificial intelligence (AI) algorithms and systems to help. a concise checklist by Prof. Eamonn Keogh (UC Riverside). Furthermore, leveraging AI to connect disparate social networks amongst teachers \\cite{karimi2020towards}, we may be able to provide greater resources for their planning, which have been shown to significantly affect students achievement. Note: Mandatory abstract deadline on May 16, 2022 Deadline: ISMIR 2022 ISMIR '22 ​ . Multilingual document understanding methods and frameworks. SDU will be a one-day workshop. This cookie is set by GDPR Cookie Consent plugin. Their results will be submitted in either a short paper or poster format. 2022. Self-supervised learning approaches involving the interaction of speech/audio and other modalities. 625-634, New Orleans, US, Dec 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 Dr. Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. Keynotes and invited talks: Several keynotes and invited talks by leading researchers in the area will be presented. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Causal inference is one of the main areas of focus in artificial intelligence (AI) and machine learning (ML) communities. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. 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.