1 citations · 1 across the 2 of their papers we have counts for
3 papers
FlashHead: Efficient Drop-In Replacement for the Classification Head in Language Model Inference
Wilhelm Tranheden, Shahnawaz Ahmed, Devdatt Dubhashi +2
Language models are increasingly adopting smaller architectures optimized for consumer devices. In this setting, inference efficiency is the primary constraint. Meanwhile, vocabula…
DACS: Domain Adaptation via Cross-domain Mixed Sampling
Wilhelm Tranheden, Viktor Olsson, Juliano Pinto +1
Semantic segmentation models based on convolutional neural networks have recently displayed remarkable performance for a multitude of applications. However, these models typically…
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson, Wilhelm Tranheden, Juliano Pinto +1
The state of the art in semantic segmentation is steadily increasing in performance, resulting in more precise and reliable segmentations in many different applications. However, p…