| ID |
Tutorial name |
Tutorial URL |
| T1 |
Hands-On Deep Learning with TensorFlow 2.0 |
http://bit.ly/tf-ijcai |
| T2 |
Adaptive Influence Maximization |
https://sites.google.com/view/aim-tutorial/home |
| T3 |
Referring Expressions in Knowledge Representation Systems |
https://cs.uwaterloo.ca/~david/ijcai19/ |
| T4 |
Deep Bayesian Sequential Learning |
http://chien.cm.nctu.edu.tw/home/ijcai-tutorial/ |
| T5 |
An Introduction to Formal Argumentation Theory |
https://users.cs.cf.ac.uk/CaminadaM/IJCAI19_tutorial.html |
| T6 |
The quest for large scale adoption of intelligent systems |
http://nduta.weebly.com/uploads/4/9/9/6/49967363/tutorial_2019_.pdf |
| T7 |
Artificial Intelligence in Transportation |
https://outreach.didichuxing.com/IJCAI2019/tutorial/ |
| T8 |
Coupling Everything: A Universal Guideline for Building State-of-The-Art Recommender Systems |
https://sites.google.com/view/lianghu/home/tutorials/ijcai2019 |
| T9 |
Timeline-based Planning: Theory and Practice |
https://overlay.uniud.it/ijcai2019-tutorial-timelines/ |
| T10 |
Epistemic reasoning in AI |
http://people.irisa.fr/Francois.Schwarzentruber/ijcai2019_tutorial/ |
| T11 |
Iterated Belief Change |
https://sites.google.com/view/ijcai2019ibc/ |
| T12 |
Fine-grained Opinion Mining: Current Trend and Cutting-Edge Dimensions |
https://happywwy.github.io/ |
| T13 |
Concept-to-code: Aspect Sentiment Classification with Deep Learning |
https://www.iitp.ac.in/~asif/Flipkart%20-%20Asif%20Ekbal.htm |
| T14 |
Non-IID Learning of Complex Data and Behaviors |
https://sites.google.com/site/trongdinhthacdo/talks-and-tutorials/ijcai-2019 |
| T15 |
Argumentation and Machine Learning: When the Whole is Greater than the Sum of its Parts |
https://scienceartificial.com/IJCAI2019Tutorial |
| T16 |
Medical decision analysis with probabilistic graphical models |
https://www.cisiad.uned.es/cursos/tutorial-IJCAI-2019/PGMs-medicine.php |
| T17 |
Game Description Languages and Logics |
https://www.irit.fr/~Laurent.Perrussel/ijcai19.html |
| T18 |
What I talk about when I talk about reproducibility: A tutorial |
https://folk.idi.ntnu.no/odderik/IJCAI19-Tutorial |
| T19 |
From Satisfiability to Optimization Modulo Theories |
http://disi.unitn.it/rseba/IJCAI2019-Tutorial-Sebastiani.html |
| T20 |
Computing with SAT Oracles |
https://alexeyignatiev.github.io/ijcai19tut/ |
| T21 |
New Frontiers of Automated Mechanism Design for Pricing and Auctions |
https://sites.google.com/view/amdtutorial-ijcai19 |
| T22 |
Causal Reinforcement Learning |
http://crl.causalai.net
|
| T23 |
The AI Universe of ``Actions'': Agency, Causality, Commonsense and Deception |
https://www.cs.nmsu.edu/~tson/tutorials/rac-ijcai19.html |
| T24 |
Scalable Deep Learning: from theory to practice |
https://sites.google.com/view/scalable-deep-learning-ijcai19 |
| T25 |
AI Ethics |
http://homepages.inf.ed.ac.uk/mrovatso/index.php/Main/AIEthics |
| T27 |
Temporal Point Processes Learning for Event Sequences |
http://thinklab.sjtu.edu.cn/TPP_Tutor_IJCAI19.html |
| T28 |
Fair Division of Indivisible Items: Asymptotics and Graph-Theoretic Approaches |
https://cs.stanford.edu/~warut/ijcai19-tutorial.html |
| T29 |
Creative and Artistic Writing via Text Generation |
https://lijuntaopku.github.io/ijcai2019tutorial/ |
| T30 |
Mechanism Design Powered by Social Interactions |
http://dengji-zhao.net/ijcai19.html |
| T31 |
Dual Learning for Machine Learning |
https://duallearning-tutorial.github.io/ |
| T32 |
AI for Materials Science |
https://www.cs.uwyo.edu/~larsko/aimat-tut/ |
| T33 |
Small Data Challenges in Big Data Era: Unsupervised and Semi-Supervised Methods |
http://maple-lab.net/projects/small_data.htm |
| T34 |
Solving Games with Complex Strategy Spaces |
https://sites.google.com/view/ijcai-2019tutorialcgt/home |