The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
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Updated
Dec 19, 2021 - Python
The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
Twin Auxiliary Classifiers GAN (NeurIPS 2019) [Spotlight]
Code for IJCoL 7 Special Issue Paper - Improving Data-to-Text Generation via Preserving High-Frequency Phrases and Fact-Checking
The aim of this study is to determine the machine failure by construction of classifier model on predictive maintenance dataset. The class imbalance data compromise the performance of the constructed model and this is addressed by assessing the oversampling methods with Multi-Task Learning (MTL)architecture. Also, to gauge the performance of aux…
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