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Found 4 papers, 1 papers with code
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Inspired by the Dynamic Sparse Training, DSnoT minimizes the reconstruction error between the dense and sparse LLMs, in the fashion of performing iterative weight pruning-and-growing on top of sparse LLMs.
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
The intensive computation of Automatic Speech Recognition (ASR) models obstructs them from being deployed on mobile devices.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Fully Parallel Architecture for Semi-global Stereo Matching with Refined Rank Method
The improved SGM algorithm is implemented with the non-parametric unified rank model which is the combination of Rank filter/AD and Rank SAD.
Creating Lightweight Object Detectors with Model Compression for Deployment on Edge Devices
To achieve lightweight object detectors for deployment on the edge devices, an effective model compression pipeline is proposed in this paper.
