Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Mutual Information in Learning Feature Transformations
Using mutual information for selecting features in supervised neural net learning
Conditional Dynamic Mutual Information-Based Feature Selection
Learning and generalization with the information bottleneck
Information Theoretic Learning
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Unsupervised Learning of Image Transformations
Transfer Feature Learning with Joint Distribution Adaptation
A Review of Feature Selection Methods Based on Mutual Information
Understanding How Feature Structure Transfers in Transfer Learning
Robust multi-task feature learning
Multi-Task Feature Learning
Generalization Properties of Learning with Random Features
Information Theory, Inference, and Learning Algorithms
Learning from One Example through Shared Densities on Transforms
Feature Selection Based on Joint Mutual Information
Information Theoretic Learning with Infinitely Divisible Kernels
An information-theoretic approach to unsupervised feature selection for high-dimensional data
Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction
Information-theoretic algorithm for feature selection
Information-theoretic metric learning
Tasks and scenario-based evaluation of information visualization techniques
Architecture design with STT-RAM: Opportunities and challenges
Development of a neuro-feedback game based on motor imagery EEG
Bayesian Variable Selection
anaphora resolution : the state of the .