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Found 4 papers, 3 papers with code
Feature-aligned N-BEATS with Sinkhorn divergence
We propose Feature-aligned N-BEATS as a domain-generalized time series forecasting model.
A Unified Framework for Robustness on Diverse Sampling Errors
Instead of assuming and fixing the target distribution at training, our proposed approach allows adjusting the feature space the model refers to at every prediction, i. e., instance-wise adaptive inference.
A Conservative Approach for Unbiased Learning on Unknown Biases
Although convolutional neural networks (CNNs) achieve state-of-the-art in image classification, recent works address their unreliable predictions due to their excessive dependence on biased training data.
MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks
Experimental results on both synthetic and real-world rainy datasets demonstrate that the proposed model significantly outperforms existing state-of-the-art models.
Ranked #1 on
Single Image Deraining
on RainCityscapes
