An Effective Baseline for Robustness to Distributional Shift-Reference-Cited by-同舟云学术

An Effective Baseline for Robustness to Distributional Shift

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
language:
Short-container-title:

Author:

Thulasidasan Sunil,Thapa Sushil,Dhaubhadel Sayera,Chennupati Gopinath,Bhattacharya Tanmoy,Bilmes Jeff

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679834/9679948/09680000.pdf?arnumber=9680000

Reference47 articles.

1. Learning word vectors for sentiment analysis;maas;Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics Human Language Technologies,2011

2. A large annotated corpus for learning natural language inference

3. Places: A 10 Million Image Database for Scene Recognition

4. Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop;yu;arXiv preprint arXiv 1506 03857,2015

5. Reading digits in natural images with unsupervised feature learning;netzer,2011

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. When an extra rejection class meets out-of-distribution detection in long-tailed image classification;Neural Networks;2024-10

2. Generalized Out-of-Distribution Detection: A Survey;International Journal of Computer Vision;2024-06-23

3. Few-shot out-of-distribution detection for automated screening in retinal OCT images using deep learning;Scientific Reports;2023-09-27

4. Continual Learning with Out-of-Distribution Data Detection for Defect Classification;2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan);2023-07-17

5. Robust Uncertainty Estimation for Classification of Maritime Objects;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29