WebMay 22, 2024 · Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon Xin Dong, Shangyu Chen, Sinno Jialin Pan How to develop slim and accurate … WebOptimal Brain Surgeon (To appear in NIPS-5) 7 Thefinal“solution”isweight1ּ →ּlarge,weightּ2ּ=ּ0.Thisispreciselythe oppositeofthesolutionfoundbyOBS ...
Data-free Parameter Pruning for Deep Neural Networks - arXiv
Webtheoretically well-founded. LeCunn et al. proposed Optimal Brain Damage (OBD) [14], a theoretically sound technique which they showed to work better than the naive approach. A few years later, Hassibi et al. came up with Optimal Brain Surgeon (OBS) [9], which was shown to perform much better than OBD, but was much more computationally intensive. WebOptimal Brain Surgeon Extensions and Performance Comparisons how do life jackets work
Optimal Brain Surgeon: Extensions and performance …
WebOct 31, 2024 · At the technical level, our approach is based on an exact and efficient realization of the classical Optimal Brain Surgeon (OBS) framework of [LeCun, Denker, and Solla, 1990] extended to also cover weight quantization at the scale of modern DNNs. From the practical perspective, our experimental results show that it can improve significantly ... WebSimulations on nonlinear, noisy pattern classification problems reveal that OBS does lead to improved generalization, and performs favorably in comparison with Optimal Brain Damage (OBD). We find that the required retraining steps in OBD may lead to inferior generaliza(cid:173) tion, a result that can be interpreted as due to injecting noise ... WebMay 31, 2024 · This repo is for Layer-wise Optimal Brain Surgeon (L-OBS), which will appear in NIPS 2024. Codes are based on Tensorflow r1.0+ and PyTorch v0.3.0 Paper link: … how much potassium in tahini sauce