research
∙
10/13/2022
Spontaneous Emerging Preference in Two-tower Language Model
The ever-growing size of the foundation language model has brought signi...
share
research
∙
01/08/2021
An Information-theoretic Progressive Framework for Interpretation
Both brain science and the deep learning communities have the problem of...
research
∙
03/01/2020
Dimensionality reduction to maximize prediction generalization capability
This work develops an analytically solvable unsupervised learning scheme...
research
∙
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 ...
research
∙
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...
research
∙
01/27/2017
Reinforced stochastic gradient descent for deep neural network learning
Stochastic gradient descent (SGD) is a standard optimization method to m...
research
∙
02/01/2015
