通过低级投影与能量转移进行紧模型训练
概括
本研究引入了一种新的训练方法,即低级投影与能量转移 (LRPET),用于高效的深度学习模型压缩. LRPET列车从头开始压缩网络,优于现有的低级别和修剪方法.
科学领域:
- 深度学习 (Deep Learning) 是一种深度学习.
- 机器学习 机器学习
- 计算机视觉 计算机视觉
背景情况:
- 低级别在传统机器学习中至关重要,但在深度学习中未得到充分利用.
- 现有的低级压缩方法由于低于最佳的初始化而经常遭受性能下降.
- 与近年来修剪技术相比,低级方法的关注度较低.
研究的目的:
- 从零开始为低级压缩深度学习网络开发一种新的培训方法.
- 通过提出有效的培训策略,解决低级压缩方面的绩效差距.
- 通过先进的压缩技术,提高深度学习模型的效率和性能.
主要方法:
- 引入了低级投影与能量转移 (LRPET) 培训方法.
- 交替应用随机梯度下降和投射到低级分流体上.
- 实施能量转移,以补偿单一值的减少,并减轻梯度的消失.
- 拟议的批量规范化 (BN) 纠正以改善最佳低级近似度 (LRA).
主要成果:
- 通过从头开始训练压缩网络,LRPET实现了竞争性性能.
- 该方法在CIFAR-10和ImageNet.Net上展示了优越的压缩结果,与现有的低级和最先进的修剪方法相比.
- 在对象检测,语义细分和基于变压器的模型中展示了有效的压缩.
- 结合LRPET与量子化和散列进行增强压缩.
结论:
- 对于低级网络压缩,LRPET提供了一种优越的方法,其性能优于以前的方法.
- 拟议的培训战略有效地保持了模型的能力和性能.
- 在各种深度学习架构和任务中,LRPET显示出多功能性和有效性.
相关概念视频
Multicompartment Models: Overview
131
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
131
Improving Translational Accuracy
10.1K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
10.1K
Reduced Mass Coordinates: Isolated Two-body Problem
1.3K
In classical mechanics, the two-body problem is one of the fundamental problems describing the motion of two interacting bodies under gravity or any other central force. When considering the motion of two bodies, one of the most important concepts is the reduced mass coordinates, a quantity that allows the two-body problem to be solved like a single-body problem. In these circumstances, it is assumed that a single body with reduced mass revolves around another body fixed in a position with an...
1.3K
Residuals and Least-Squares Property
7.3K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.3K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
48
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
48
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
476
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
476


