@inproceedings{li-harrison-2021-error,
title = "Error Causal inference for Multi-Fusion models",
author = "Li, Chengxi and
Harrison, Brent",
booktitle = "Proceedings of the Second Workshop on Advances in Language and Vision Research",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.alvr-1.2",
doi = "10.18653/v1/2021.alvr-1.2",
pages = "11--15",
abstract = "In this paper, we propose an error causal inference method that could be used for finding dominant features for a faulty instance under a well-trained multi-modality input model, which could apply to any testing instance. We evaluate our method using a well-trained multi-modalities stylish caption generation model and find those causal inferences that could provide us the insights for next step optimization.",
}
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%0 Conference Proceedings
%T Error Causal inference for Multi-Fusion models
%A Li, Chengxi
%A Harrison, Brent
%S Proceedings of the Second Workshop on Advances in Language and Vision Research
%D 2021
%8 jun
%I Association for Computational Linguistics
%C Online
%F li-harrison-2021-error
%X In this paper, we propose an error causal inference method that could be used for finding dominant features for a faulty instance under a well-trained multi-modality input model, which could apply to any testing instance. We evaluate our method using a well-trained multi-modalities stylish caption generation model and find those causal inferences that could provide us the insights for next step optimization.
%R 10.18653/v1/2021.alvr-1.2
%U https://aclanthology.org/2021.alvr-1.2
%U https://doi.org/10.18653/v1/2021.alvr-1.2
%P 11-15
Markdown (Informal)
[Error Causal inference for Multi-Fusion models](https://aclanthology.org/2021.alvr-1.2) (Li & Harrison, ALVR 2021)
ACL
- Chengxi Li and Brent Harrison. 2021. Error Causal inference for Multi-Fusion models. In Proceedings of the Second Workshop on Advances in Language and Vision Research, pages 11–15, Online. Association for Computational Linguistics.