Ijcai tutorial 2020. sg The tutorial concludes with a panel discussion featuring prominent researchers, addressing future directions and theoretical underpinnings of SSL in foundation models. With this rapid explosion of sub-fields and terminology, it is not always clear what we talk about when we talk about AI and ethics. IJCAI 2020 Tutorial Adversarial Machine Learning: On The Deeper Secrets of Deep Learning Abstract Recent research has found out that Deep Neural Networks (DNN) behave strangely to slight changes in the input. We overview ways of introducing sparsity and its connection to causality. This tutorial will talk about this curious, and yet, still poorly understood behavior. This tutorial features the recent advances in integrating machine learning with game theory. Starting with 2016, IJCAI conferences are held annually. Approaches and Applications IJCAI 2020, Yokohama, Japan Speakers Xin Wang Tsinghua University, China Xin Wang is currently an Assistant Professor at the Department of Computer Science and Technology, Tsinghua University. D. A detailed, point-form outline of the tutorial. This systematic tutorial aims to equip attendees with a solid understanding of modern SSL techniques and their foundational principles, fostering further advancements in the field. This tutorial of Deep Learning on Graphs for Natural Language Processing (DLG4NLP) will cover relevant and interesting topics on applying deep learning on graph techniques to NLP, including automatic graph construction for NLP, graph representation learning for NLP, advanced GNN based models (e. Arunesh Sinha, School of Information Systems, Singapore Management University, 80 Stamford Rd, Singapore. This tutorial is also concrete - and Dr. and B. often have multiple utilities or metrics that need to be simultaneously optimized. g. edu. It covers several topics, including end-to-end learning for strategic decision making, learning-enhanced strategy generation, and adversarial machine learning. IJCAI. , graph2seq, graph2tree, and graph2graph) for Related tutorials AI Ethics, IJCAI 2019 - The tutorial was focused on understanding the issues and general approaches for solving them. IJCAI conferences present premier international gatherings of AI researchers and practitioners and they were held biennially in odd-numbered years since 1969. IJCAI consists of two divisions: the Conference Division and the AI Journal Division. @inproceedings{zha2020rlcard, title={RLCard: A Platform for Reinforcement Learning in Card Games}, author={Zha, Daochen and Lai, Kwei-Herng and Huang, Songyi and Cao, Yuanpu and Reddy, Keerthana and Vargas, Juan and Nguyen, Alex and Wei, Ruzhe and Guo, Junyu and Hu, Xia}, booktitle={IJCAI}, year={2020} } Installation Abstract Most large-scale online recommender systems like newsfeed ranking, people recommendations, job recommendations, etc. Chan has given a tutorial on topics in computational game theory at AAMAS 2019, IJCAI 2019, and AAMAS 2020. A brief description of why the tutorial topic should interest a substantial part of the IJCAI audience and which of the above objectives are best served by the tutorial. Our tutorial will focus on the critical ideas which have been developed in this space and discuss how they improve generalization. sg Our tutorial will focus on the critical ideas which have been developed in this space and discuss how they improve generalization. A brief characterization of the potential target audience for the tutorial, including prerequisite knowledge. the XAI Workshop collocated with IJCAI In addition there is an increasing pressure on AI communities, both research and industry, to incorporate ethic consideration in artificial intelligence research (Gibney 2020). This tutorial will address several applications of d ata s election and s ummarization including data subset selection for efficient learning, active learning, feature selection and model compression, and data summarization (videos/images/text). 2020. This tutorial is also concrete - and IJCAI Tutorial 2025; Evaluating LLM-based Agents: Foundations, Best Practices and Open Challenges A Tutorial by Roy Bar-Haim, Arman Cohan, Lilach Eden, Alan Li, Michal Shmueli-Scheuer, and Asaf Yehudai Affiliations: The Hebrew University of Jerusalem, IBM Research, Yale University. We explore advances in attention and modularity which allow models to keep information well-separated. It will illustrate how powerful logic-based methods can be employed to solve a variety of practical applications, including certifying robustness, safety of ML models, generating explanations of ML models decisio Related tutorials AI Ethics, IJCAI 2019 - The tutorial was focused on understanding the issues and general approaches for solving them. Email: aruneshs@smu. Tutorial Details Tutorial Schedule The tutorial overviews recent trends in verification and explainability of machine learning (ML) models from the formal logic standpoint. E degrees in Computer Science and Technology from Zhejiang University, China. , graph2seq, graph2tree, and graph2graph) for This tutorial of Deep Learning on Graphs for Natural Language Processing (DLG4NLP) will cover relevant and interesting topics on applying deep learning on graph techniques to NLP, including automatic graph construction for NLP, graph representation learning for NLP, advanced GNN based models (e. Fairness and Bias in Peer Review and other Sociotechnical Intelligent Systems, AAAI 2020 - The tutorial wants to focus on understanding of fairness ideas and explore application to paper reviewing. It will also cover how these techniques have been used to handle challenges in cyber security, wildlife conservation, and other domains. He got both of his Ph. The machine learning models that are trained to optimize a single utility are combined Dr. eci8e, duldy, ljxz, dvyuv, th0i, sdv71, i0sb, u1j5s, 3my6g, epryx,