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Found 5 papers, 0 papers with code
Improving Controllable Text Generation with Position-Aware Weighted Decoding
Weighted decoding methods composed of the pretrained language model (LM) and the controller have achieved promising results for controllable text generation.
A GREAT Architecture for Edge-Based Graph Problems Like TSP
We can use such a trained GREAT model to produce sparse TSP graph instances, keeping only the edges GREAT finds promising.
Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP
Furthermore, we propose ensembles of different sparsification levels allowing models to focus on the most promising parts while also allowing information flow between all nodes of a TSP instance.
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI
Brain atrophy and white matter hyperintensity (WMH) are critical neuroimaging features for ascertaining brain injury in cerebrovascular disease and multiple sclerosis.
Deep Image-based Illumination Harmonization
Specifically, we firstly apply a physically-based rendering method to construct a large-scale, high-quality dataset (named IH) for our task, which contains various types of foreground objects and background scenes with different lighting conditions.
