Causal inference and causal representation learning in vision

Related Survey in Causal Inference

Causal inference in statistics: An overview

Causal inference in sociological research

Towards Causal Representation Learning

Causal inference in medicine and in health policy, a summary

A review and roadmap of deep learning causal discovery in different variable paradigms

A review of causality for learning algorithms in medical image analysis

Theoretical Works

• Invariant Risk Minimization

Invariant Risk Minimization

The risks of invariant risk minimization

Does invariant risk minimization capture invariance

Bayesian Invariant Risk Minimization

Heterogeneous risk minimization

Sparse Invariant Risk Minimization

Adaptive risk minimization: Learning to adapt to domain shift

Kernelized heterogeneous risk minimization

Practical Works

• Feature Understanding

CausalVAE: Disentangled representation learning via neural structural causal models

Disentangled generative causal representation learning

Deconfounded visual grounding

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning

Self-supervised learning disentangled group representation as feature

Deconfounded image captioning: A causal retrospect

Align R-CNN: A pairwise head network for visual relationship detection

Causal attention for unbiased visual recognition

Counterfactual zero-shot and open-set visual recognition

Distilling causal effect of data in class-incremental learning

Long-tailed classification by keeping the good and removing the bad momentum causal effect

Interventional few-shot learning

Causal intervention for weakly-supervised semantic segmentation

• Transfer Learning

in progress...