Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Last update: Dec 20, 2021

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Overview

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song
Link to paper
Link to slides
Link to NeurIPs 15-min presentation

If you found this library useful in your research, please consider citing

@article{chen2021multi,
  title={Multi-task Learning of Order-Consistent Causal Graphs},
  author={Chen, Xinshi and Sun, Haoran and Ellington, Caleb and Xing, Eric and Song, Le},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  year={2021}
}

@article{chen2021multi,
  title={Multi-task Learning of Order-Consistent Causal Graphs},
  author={Chen, Xinshi and Sun, Haoran and Ellington, Caleb and Xing, Eric and Song, Le},
  journal={arXiv preprint arXiv:2111.02545},
  year={2021}
}

Reproduce Experiments

Install the module

Please navigate to the root of this repository, and run the following command to install the multidag module.

pip install -e .

Run the experiments

Navigate to the experiments/ folder and use the run files to run the experiments.

Descriptions of implementation details coming soon.....

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Related tags

Overview

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Reproduce Experiments

Install the module

Run the experiments

Owner

Xinshi Chen

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Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Related tags

Overview

Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)

Reproduce Experiments

Install the module

Run the experiments

Owner

Xinshi Chen

JAXMAPP: JAX-based Library for Multi-Agent Path Planning in Continuous Spaces

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The official PyTorch implementation of the paper: *Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma. "Fully Convolutional Line Parsing." *.

Plotting points that lie on the intersection of the given curves using gradient descent.

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Mouse Brain in the Model Zoo

This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging" that has been accepted to NeurIPS 2021.

Source code of the paper PatchGraph: In-hand tactile tracking with learned surface normals.

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[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Multiple Object Tracking with Yolov5!

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

PyTorch code for 'Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning'

Job Assignment System by Real-time Emotion Detection

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

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