Generalization and Robustness Implications in Object-Centric Learning

Generalization and Robustness Implications in Object-Centric Learning

1 July 2021

Michele De Vita

Bernhard Schölkopf

Francesco Locatello

Papers citing "Generalization and Robustness Implications in Object-Centric Learning"

9 / 9 papers shown

Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Can Küçüksözen Yücel Yemez OCL 33 0 0 04 May 2025
Are We Done with Object-Centric Learning? Alexander Rubinstein Ameya Prabhu Matthias Bethge Seong Joon Oh OCL 525 0 0 09 Apr 2025
Next state prediction gives rise to entangled, yet compositional representations of objects Tankred Saanum Luca M. Schulze Buschoff Peter Dayan Eric Schulz OCL CoGe OOD 25 1 0 07 Oct 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 45 1 0 18 Jan 2024
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 26 113 0 27 May 2022
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 25 15 0 12 Jul 2021
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 224 252 0 09 Dec 2020
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 255 1,394 0 01 Dec 2016