Noise Contrastive Estimation (NCE) in PyTorch
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Updated
Oct 23, 2023 - Python
Noise Contrastive Estimation (NCE) in PyTorch
Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data
InfoNCE, Soft Nearest Neighbour on MNIST and Fashion-MNIST
Unsupervised Feature Learning via Non-parametric Instance Discrimination
The Noise Contrastive Estimation for softmax output written in Pytorch
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)
Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Tensorflow NCE loss in Keras
a pytorch version lstm language model
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