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10/13/2022
Spontaneous Emerging Preference in Two-tower Language Model
The ever-growing size of the foundation language model has brought signi...
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01/08/2021
An Information-theoretic Progressive Framework for Interpretation
Both brain science and the deep learning communities have the problem of...
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03/01/2020
Dimensionality reduction to maximize prediction generalization capability
This work develops an analytically solvable unsupervised learning scheme...
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08/02/2018
On the achievability of blind source separation for high-dimensional nonlinear source mixtures
For many years, a combination of principal component analysis (PCA) and ...
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05/02/2017
Redundancy in active paths of deep networks: a random active path model
Deep learning has become a powerful and popular tool for a variety of ma...
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01/27/2017
Reinforced stochastic gradient descent for deep neural network learning
Stochastic gradient descent (SGD) is a standard optimization method to m...
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02/01/2015