Ijcai tutorial 2020. This tutorial explores recent advancements in multi-modal generative AI, including multi-modal large language models (MLLMs) and diffusion models, and also highlights the emerging challenges that exist when applying them to dynamic and open environments, where generalizable post-training techniques and unified multi-modal understanding and 2020 program includes 35 workshops and 47 tutorials, covering most aspects of AI and directed to a broad audience, to enable col-laborative learning and exchange about new ideas and approaches in AI in an informal set-ting. Jul 13, 2020 · In this tutorial, we will provide an overview of the state-of-the-art gradient compression methods for distributed deep learning. First, we will provide an in-depth introduction to Bayesian Optimization, covering some of the basics as well as the recent advances in the field. In all of IJCAI 2020 Tutorial Presented by Rishabh Iyer and Ganesh Ramakrishnan. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Yokohama 11-17 July 2020, January 2021 This tutorial serves as a guide through the state-of-the-art and main challenges in machine ethics, contrasting it also with the fields of explainable AI (XAI) and Fairness, Accountability, and Transparency (FAccT). In the second part, we will introduce the key components in neural TTS, including text analysis, acoustic model and vocoder. IJCAI consists of two divisions: the Conference Division and the AI Journal Division. Tutorial attendance is complimentary for all IJCAI-PRICAI 2020 conference registrants. Workshops and tutorials will be held on January 7-8, the main plenary Reinforcement Learning (RL) an agent learns optimal policy through environment interaction and feedback In the proposed tutorial on Computational Game Theory and Its Applications, the audiences will be (1) introduced to fundamental game-theoretic decision-making tools for modeling and understanding the strategic interaction of self-interested and strategic agents; (2) exposed to the modeling tools’ solution concepts and how they can be used to predict decision-making behavior of agents; (3 The tutorial addresses the current and envisioned solutions for the management of these distributed energy resources in the context of smart grids. google. For example, political parties select candidates and bring them forward to the general election, or voting districts are used to select winners. We will provide a number of demos throughout this tutorial, with a significant hands on component to try these out. com/view/ijcaitumore AI Ethics, IJCAI 2019 - The tutorial was focused on understanding the issues and general approaches for solving them. 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. Artificial intelligence based approaches bring important new possibilities enabling efficient individual and aggregated energy management. Related tutorials AI Ethics, IJCAI 2019 - The tutorial was focused on understanding the issues and general approaches for solving them. IJCAI-PRICAI 2020 invites proposals for the Tutorial Track. Furthermore, the IJCAI Doctoral Consor-tium offers a forum for PhD students to pres-ent and discuss their work, obtaining feedback from senior researchers in the field. 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. The proposed rigorous approach was shown to be useful The tutorial concludes with a panel discussion featuring prominent researchers, addressing future directions and theoretical underpinnings of SSL in foundation models. An one-shot recognition algorithm is designed to extract the visual cues, which helps The tutorial addresses the current and envisioned solutions for the management of these distributed energy resources in the context of smart grids. It covers several topics, including end-to-end learning for strategic decision making, learning-enhanced strategy generation, and adversarial machine learning. To fully explore these developments in the IJCAI community, we propose a tutorial that introduces the foundations and research frontiers of AI-generated content, with a focus on text, image, and video generation. See full list on alexeyignatiev. github. Although the majority of approaches to XAI are of heuristic nature, recent work proposed the use of abductive reasoning to computing provably correct explanations for machine learning (ML) predictions. Tutorials will be held on July 11-13, immediately prior to the technical conference. New analysis helps us understand existing phenomena and opens up new research topics. This tutorial features the recent advances in integrating machine learning with game theory. This IJCAI 2020, to be held in Yokohama, Japan, we hope (COVID-19 willing) to give a tutorial on multi-staged voting. The presentation provides an in-depth introduction of stream reasoning methods and includes all required preliminaries and therefore is suitable for a broad audience with a basic understanding of knowledge representation and Tutorial Description: We Don’t Live In A Vacuum! We interact with other agents in our environment to make rational decisions. The goal of the tutorial is to introduce modern rule-based stream reasoning systems to a broad audience interested in efficient decision making over streaming data. io We explore advances in attention and modularity which allow models to keep information well-separated. It will also cover how these techniques have been used to handle challenges in cyber security, wildlife conservation, and other domains. Unlike other video question answering works, all the answers in our dataset are grounded to the domain knowledge base. Second, we will talk about how to formulate a real-world Explainable artificial intelligence (XAI) represents arguably one of the most crucial challenges being faced by the area of AI these days. We will present the theoretical background and convergence guaranties of the most representative sparcification, quantization and low-rank compression methods. We introduce a dataset including question, answer and context triples from the tutorial videos for a software. This paper presents a new video question answering task on screencast tutorials. This tutorial introduces a number of new findings on above issues discovered in recent papers of the speakers and some classic studies. We overview ways of introducing sparsity and its connection to causality. IJCAI conferences present premier international gatherings of AI researchers and practitioners and they were held biennially in odd-numbered years since 1969. For example, selecting the quickest or easiest route to go from your apartment to campus, selecting the best amount to bid in an eBay auction, determining whether to fold in a 2-player poker game or selecting a winning move in a Rock-paper-scissors game. This tutorial is This tutorial covers the state-of-the-art research, development, and applications in the area of Interpretable Knowledge Discovery and ML boosted by Visual Methods. Objectives Tutorials should serve one or more of the following objectives: Introduce novices to major topics within Artificial Welcome to IJCAI-PRICAI 2020 Welcome to IJCAI-PRICAI2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence!IJCAI-PRICAI2020 will take place January 7-15, 2021 online in a virtual reality in Japanese Standard Time (JST) zone. Jan 22, 2021 · IJCAI 2020 Tutorial Presented by Rishabh Iyer and Ganesh Ramakrishnan. In this tutorial, we will give an introduction to neural text to speech, which consists of four parts. com/view/ijcaitumore 2020 program includes 35 workshops and 47 tutorials, covering most aspects of AI and directed to a broad audience, to enable col-laborative learning and exchange about new ideas and approaches in AI in an informal set-ting. IJCAI-PRICAI 2020 Call for Tutorials IJCAI-PRICAI 2020 invites proposals for the Tutorial Track. In the first part, we will briefly overview the history of TTS technology. Workshops and tutorials will be held on January 7-8, the main plenary In this tutorial, we will talk about how we can apply Bayesian Optimization techniques to obtain the parameters for such complex online systems in order to balance the competing metrics. Critical discussions on the strength and limitations of current explainable-AI algorithms provide new prospective research directions. Oct 23, 2020 · Welcome to IJCAI-PRICAI 2020 Welcome to IJCAI-PRICAI2020, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence!IJCAI-PRICAI2020 will take place January 7-15, 2021 online in a virtual reality in Japanese Standard Time (JST) zone. . Starting with 2016, IJCAI conferences are held annually. In this tutorial, we focus on causal inference and stable learning, aiming to explore causal knowledge from observational data to improve the interpretability and stability of machine learning algorithms. Tutorial Website: https://sites. pghivvpkuuruhff6zuiuusmwihxr81ig5t3j3y5jn5