On the Generalization and Adaption Performance of Causal Models

On the Generalization and Adaption Performance of Causal Models

9 June 2022

Stefan Bauer

Nan Rosemary Ke

Papers citing "On the Generalization and Adaption Performance of Causal Models"

10 / 10 papers shown

Title
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 27 1 0 30 Jun 2024
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction Leon Mlodzian Zhigang Sun Hendrik Berkemeyer Sebastian Monka Zixu Wang Stefan Dietze Lavdim Halilaj J. Luettin 14 5 0 15 Dec 2023
Unbiased Scene Graph Generation via Two-stage Causal Modeling Shuzhou Sun Shuaifeng Zhi Qing Liao J. Heikkilä Li Liu CML 19 33 0 11 Jul 2023
Bivariate Causal Discovery using Bayesian Model Selection Anish Dhir Samuel Power Mark van der Wilk CML 15 3 0 05 Jun 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning Yao Xiao Ziyi Tang Pengxu Wei Cong Liu Liang Lin 49 16 0 06 Mar 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 12 12 0 01 Feb 2023
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 22 2 0 24 Nov 2022
Learning Latent Structural Causal Models Jithendaraa Subramanian Yashas Annadani Ivaxi Sheth Nan Rosemary Ke T. Deleu Stefan Bauer Derek Nowrouzezahrai Samira Ebrahimi Kahou CML 22 7 0 24 Oct 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 32 72 0 06 Dec 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017