AwesomeUncertaintyEstimation

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AwesomeUncertaintyEstimation

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This repository contains recent research on uncertainty estimation. Inspired from other 'awesome' github pages like awesome-deep-learning.

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# Awesome Uncertainty Estimation
 This repository contains recent research on uncertainty estimation. Inspired from other 'awesome' github pages like awesome-deep-learning.

### PUBLISHED
#### General
- [ICLR'20] PITFALLS OF IN-DOMAIN UNCERTAINTY ESTIMATION AND ENSEMBLING IN DEEP LEARNING [link](https://openreview.net/pdf?id=BJxI5gHKDr)
- [ICML'20] Can Your AI Differentiate Cats from Covid-19? Sample Efficient Uncertainty Estimation for Deep Learning Safety [link]
- [NIPS'19] Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift [link](https://arxiv.org/abs/1906.02530)
- [NIPS'19] Single-Model Uncertainties for Deep Learning [link](https://arxiv.org/pdf/1811.00908.pdf)
- [ICML'19] Uncertainty Estimation Using a Single Deep Deterministic Neural Network [link](https://arxiv.org/pdf/2003.02037.pdf) [code](https://github.com/y0ast/deterministic-uncertainty-quantification)
- [NIPS'17] Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles [link](https://arxiv.org/abs/1612.01474)
- [ICML'16] Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning [link](https://arxiv.org/abs/1506.02142)

#### NLP
- [ACL'20] Estimating predictive uncertainty for rumour verification models [link](https://arxiv.org/abs/2005.07174)[code](https://github.com/kochkinaelena/Uncertainty4VerificationModels)
- [AAAI'19] Quantifying Uncertainties in Natural Language Processing Tasks [link](https://arxiv.org/pdf/1811.07253.pdf)

### ARXIV
- (2020) Uncertainty Estimation Using a Single Deep Deterministic Neural Network [link](https://arxiv.org/pdf/2003.02037.pdf)
- (2020) Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness [link](https://arxiv.org/pdf/2006.10108.pdf)
- (2019) Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task [link](https://arxiv.org/pdf/1904.08504.pdf)

### WORKSHOP
- [ICML'20] https://sites.google.com/view/udlworkshop2020/home
- [ICML'19] https://sites.google.com/view/udlworkshop2019/home

*There are many more papers to be added. Please feel free to make pull-resquest to add more papers, especially foundational papers.*

AwesomeUncertaintyEstimation

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