最近看了《On the Effectiveness of Sampled Softmax Loss for Item Recommendation》一文,里面提到分析了一些关于 Sampled Softmax Loss 在推荐领域的优势,以及理论上看有这些优势的原因,在此详细梳理了一下其中的理论推导部分,主要是几个公式是如何推导出结论的。 论文简介 Softmax Loss计算量大的劣势,使其在实际的...
The sampled softmax (SSM) loss emerges as an efficient substitute for softmax loss. Its special case, InfoNCE loss, has been widely used in self-supervised learning and exhibited remarkable performance for contrastive learning. Nonetheless, limited recommendation work uses the SSM loss as the ...
Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high quality, closely mimicking human speech. Nevertheless, given the wide array of ...
Nowadays, a great number of hybrid algorithms taking advantage of both gradient descent and evolution strategy have shown their effectiveness over optimization problems [17,18] such as function optimization. Other population-based algorithms [19] also show potential to work together with gradient-based ...
[RW] Lin, B., Ye, F., Zhang, Y., & Tsang, I. W.Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.TMLR, 2022. Notes: propose the Random Weighting (RW) methods, including Random Loss Weighting (RLW) and Random Gradient Weighting (RGW), where an MTL...
(2019)The Unreasonable Effectiveness of Convolutional Neural Networks in Population Genetic Inference, Molecular Biology and Evolution (2019)Deep Learning Enables Rapid Identification of Potent DDR1 Kinase Inhibitors--> 💻GENTRL code (2019)Junction Tree Variational Autoencoder for Molecular Graph Generation...
These methods harness the effectiveness of adversarial training to obtain a meaningful feature representation of the data while concurrently performing data clustering assignments. The approach involves two primary networks: a generator and a discriminator, collaborating through an alternating training process....
104 questioned this conclusion, arguing that the results are biased by the lack of a held-out test set, RF is still possibly one of the most famous EL algorithms because of its effectiveness and simplicity.105 We used the preprocessed training set to train an RF classifier with 1,000 ...
In all three figures, Colla performs the best among these methods, demonstrating the effectiveness of collaborative learning. Some detailed accuracy numbers are listed in Table 1. It can be seen that the median accuracy of Colla is 0.51, 21.42% higher than the second best approach (0.42 of DT...
Before performing ECG signal feature extraction, in order to verify the effectiveness of wavelet transform combined with the morphological filtering method on signal denoising, the 120 s signal of 30 s in MIT-BIH database was selected as the experimental signal, and 50 Hz power frequency ...