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Found 5 papers, 1 papers with code
Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform
For decoder-only topologies, we achieve 16. 1x speedup in the Non-Autoregressive (NAR) mode and up to 35. 6x speedup in the Autoregressive (AR) mode compared to the baseline implementation.
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers
Transformer networks have emerged as the state-of-the-art approach for natural language processing tasks and are gaining popularity in other domains such as computer vision and audio processing.
LT Expertfinder: An Evaluation Framework for Expert Finding Methods
Particularly for dynamic systems, where topics are not predefined but formulated as a search query, we believe a more informative approach is to perform user studies for directly comparing different methods in the same view.
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
Instead, we propose a method for identifying lesion changes of high certainty, and establish on a dataset of longitudinal multiple sclerosis cases that this method is able to separate progressive from stable timepoints with a very high level of discrimination (AUC = 0. 99), while changes in lesion volume are much less able to perform this separation (AUC = 0. 71).
