Must-read papers and resources related to causal inference and machine (deep) learning
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Updated
Nov 23, 2022
Must-read papers and resources related to causal inference and machine (deep) learning
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
This repository contains the source codes for the paper: "SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments" published at ICCV 2021, 1st SEAI Workshop.
Codes for the EMNLP 2021 paper "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP"
Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics
A self-supervised learning at test time approach for robust and adaptable diagnosis of pneumonia on chest X-rays data.
Investigating sense of agency in multi-agent action-effect causality perception
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