The Lottery Ticket Hypothesis. A randomly-initialized, dense neural network contains a subnetwork that is initialized such that—when trained in isolation—it can match the test accuracy of the original network after training for at most the same number ofiterations. 把上面的彩票假设 (Lottery Ticket...
:lotterytickethypothesis: 另一篇paper: 实际中的问题: 在删掉一些weights之后,newwork的架构变得不规则,不方便实现 解决办法: 一个neuron整体...为什么要NetWorkCompression? 因为一些小的设备上只有有限的存储空间,有限的power,。。。 所以要将networkcompression才能放到这些设备上面network ...
基于上篇文章“彩票假说The Lottery Ticket Hypothesis(ICLR 2019)”,Frankle等人提出了彩票假说:随机初始化的密集神经网络包含一个子网络,该子网络经过初始化,以便在单独训练时,在训练最多相同次数的迭代后,它可以与原始网络的测试精度相匹配。 大帆:彩票假说The Lottery Ticket Hypothesis(ICLR 2019)24 赞同 · 0 ...
"The Lottery Ticket Hypothesis Finding Sparse, Trainable Neural Networks" 这篇文章提出了Lottery Ticket Hypothesis,认为较复杂的深度神经网络存在一个比较优化的稀疏子网络结构(称之为winning tickets),可应用于模型压缩。相比于原网络,稀疏子网络的参数量与复杂度要低许多,但推理精度基本相当。Lottery Ticket Hypothes...
Stabilizing the Lottery Ticket Hypothesis motivates us to explore pruning after \\(k^{th}\\) epoch. We show that there exists a minimum value of k above which there is insignificant gain in accuracy, and the network enjoys a maximum level of pruning at this value of k while maintaining ...
In parallel, work on the lottery ticket hypothesis has shown that models for NLP and computer vision contain smaller matching subnetworks capable of training in isolation to full accuracy and transferring to other tasks. In this work, we combine these observations to assess whether such trainable,...
To evaluate the lottery ticket hypothesis in the context of pruning, they run the following experiment: Randomly initialize a neural network. Train the network until it converges. Prune a fraction of the network. To extract the winning ticket, reset the weights of the remaining portion of the ...
Larger networks have more of these "lottery tickets," meaning they are more likely to luck out with a subcomponent initialized in a configuration amenable to successful optimization. This paper conducts a series of experiments with XOR and MNIST that support the lottery ticket hypothesis. In ...
The winning tickets we find have won the initialization lottery: their connections have initial weights that make training particularly effective. We present an algorithm to identify winning tickets and a series of experiments that support the lottery ticket hypothesis and the importance of these ...
Lottery Ticket Hypothesis (LTH) raises keen attention to identifying sparse trainable subnetworks, or winning tickets, of training, which can be trained in isolation to achieve similar or even better performance compared to the full models. Despite many efforts being made, the most effective meth...