Object-Oriented Learning (OOL): Perception, Representation, and Reasoning
International Conference on Machine Learning (ICML)
Friday July 17, 2020, Virtual Workshop
Access the virtual workshop page
For each paper being presented at the workshop, we will host (1) pre-recorded content (either from SlidesLive or via YouTube), (2) a Rocket.Chat chatroom for text-based discussion and (3) a Zoom meeting room. All of these can be found from each paper's landing page (which you can access by clicking on the title of the relevant paper).
The Zoom meeting rooms will be open only during the poster session timeslots (see the Schedule), during which authors will join the meeting rooms to allow you to ask them questions face-to-face. We encourage you to first watch the presentation associated with the paper, and then join the Zoom meeting room to ask questions and engage in further discussion.
Session 1 (3:30-4:30pm UTC)
| Title | Authors | |
|---|---|---|
| Learning Affordances in Object-Centric Generative Models (Oral) | Yizhe Wu, Sudhanshu Kasewa, Oliver M Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, and Ingmar Posner | |
| Conditional Set Generation with Transformers (Spotlight) | Adam R Kosiorek, Hyunjik Kim, and Danilo Jimenez Rezende | |
| Unsupervised Object Keypoint Learning using Local Spatial Predictability (Spotlight) | Anand Gopalakrishnan, Sjoerd van Steenkiste, and Jürgen Schmidhuber | |
| Generative Adversarial Set Transformers (Spotlight) | Karl Stelzner, Kristian Kersting, and Adam R Kosiorek | |
| Capsule Networks: A Generative Probabilistic Perspective (Spotlight) | Lewis SG Smith, Lisa Schut, Yarin Gal, and Mark van der Wilk | |
| Learning Object-Centric Representations for High-Level Planning in Minecraft (Spotlight) | Steven D James, Benjamin Rosman, and George Konidaris | |
| Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity (Spotlight) | William Agnew, Christopher Xie, Aaron T Walsman, Octavian V Murad, Yubo Wang, Pedro Domingos, and Siddhartha Srinivasa | |
| Hierarchical Relational Inference | Aleksandar Stanic, Sjoerd van Steenkiste, and Jürgen Schmidhuber | |
| Unsupervised Learning of Independently Controllable Dynamic Components | Andrii Zadaianchuk and Georg Martius | |
| SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design | Ari Seff, Yaniv Ovadia, Wenda Zhou, and Ryan P Adams | |
| Generative Graph Perturbations for Scene Graph Prediction | Boris Knyazev, Harm De Vries, Cătălina Cangea, Graham Taylor, Aaron Courville, and Eugene Belilovsky | |
| Systematically Comparing Neural Network Architectures in Relation Leaning | Guy Davidson and Brenden M Lake | |
| Reconstruction Bottlenecks in Object-Centric Generative Models | Martin Engelcke, Oiwi Parker Jones, and Ingmar Posner | |
| Structured Generative Modeling of Images with Object Depths and Locations | Titas Anciukevičius, Christoph H Lampert, and Paul Henderson |