However, neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources. To address this limitation, we propose a new method called "deep compression", which including three stages: pruning, quantification and ...
"OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization", AAAI, 2021. [paper] "Scalable Verification of Quantized Neural Networks", AAAI, 2021. [paper] [code] "Uncertainty Quantification in CNN through the Bootstrap of Convex Neural Networks", AAAI, 2021. [paper] ...
It drives a series of well-orchestral angiopoietic events including proliferation and migration of endothelial cell, vessel sprouting, pruning and anastomosis by binding to VEGF receptors [38]. It has been reported that COX2 participates in VEGF-induced angiogenesis through activation of MAPK signaling...
As shown in the figure, RayBNN performs much better than MLP due to having neural connection pruning and deleting redundant neurons. Figure 5c shows the performances of the algorithms on an individual subject basis. The Xdawn algorithm performs better for some subjects than the Deep4Net. ...
Efforts to search for slimmer architecture and sparse networks given a full model demonstrated that sparse models can decrease storage requirements and improve computational performance16,17,18. However, finding such a sparse model may be challenging, since the typical training–pruning–retraining cycle...
Protein identification and quantification Raw data files from the Orbitrap Fusion were processed using Proteome Discover (version 2.1). Collected MS/ MS spectra were searched against the UniProt mouse proteome database (54,489 total sequences). SEQUEST parameters were specified as: trypsin enzyme, ...
1.2 Model pruning The use of hand-designed network structures can generally obtain higher accuracy, but huge network parameters are difficult to directly apply to industrial products. Generally, models are pruned. Model pruning is divided into structured pruning and non-structural pruning. Chemical prun...
pruning algorithms highlight the main structure of social network,but Gephi lacks this.(3) Visualization.In Citespace,co-occurrence network could present time,frequency and betweenness centrality simultaneously;cluster view could label the clusters with phrases.However,SCI~2 and Gephi provide more ...
as indicators of cell development and health1,2,3. However, these discrete attributes are often agnostic to their broader biological context. For example, healthy neurite pruning and fasciculation often translate to reduced neurite area and length. Therefore, an incorrect impression of neuron viability...
For the latter, though there are five widely-used technologies, like weights sharing, weights pruning, quantification, knowledge distillation, and low-rank decomposition, pruning is the most widely used due to its simplicity and efficiency. The idea of pruning is to remove the less important ...