CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning

Author:

He Jianfeng1ORCID,Zhang Xuchao2ORCID,Lei Shuo1ORCID,Alhamadani Abdulaziz1ORCID,Chen Fanglan1ORCID,Xiao Bei3ORCID,Lu Chang-Tien1ORCID

Affiliation:

1. Virginia Tech, Falls Church, VA, USA

2. Microsoft, Redmond, WA, USA

3. American University, Washington, DC, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference69 articles.

1. Javier Antorán , James Urquhart Allingham, and José Miguel Hernández-Lobato . 2020 . Depth uncertainty in neural networks. arXiv preprint arXiv:2006.08437 (2020). Javier Antorán, James Urquhart Allingham, and José Miguel Hernández-Lobato. 2020. Depth uncertainty in neural networks. arXiv preprint arXiv:2006.08437 (2020).

2. Yujia Bao , Menghua Wu , Shiyu Chang , and Regina Barzilay . 2020 . Few-shot Text Classification with Distributional Signatures. In International Conference on Learning Representations. Yujia Bao, Menghua Wu, Shiyu Chang, and Regina Barzilay. 2020. Few-shot Text Classification with Distributional Signatures. In International Conference on Learning Representations.

3. Mathilde Caron , Ishan Misra , Julien Mairal , Priya Goyal , Piotr Bojanowski , and Armand Joulin . 2020. Unsupervised learning of visual features by contrasting cluster assignments. arXiv preprint arXiv:2006.09882 ( 2020 ). Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin. 2020. Unsupervised learning of visual features by contrasting cluster assignments. arXiv preprint arXiv:2006.09882 (2020).

4. Bertrand Charpentier , Oliver Borchert , Daniel Zügner , Simon Geisler , and Stephan Günnemann . 2022. Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions. ICRL ( 2022 ). Bertrand Charpentier, Oliver Borchert, Daniel Zügner, Simon Geisler, and Stephan Günnemann. 2022. Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions. ICRL (2022).

5. Posterior network: Uncertainty estimation without ood samples via density-based pseudo-counts;Charpentier Bertrand;Advances in Neural Information Processing Systems,2020

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