Official PyTorch implementation of Fully Attentional Networks
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Updated
Mar 31, 2023 - Python
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Official PyTorch implementation of Fully Attentional Networks
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Pytorch implementation of Deep Variational Information Bottleneck
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.
Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
Pytorch Implementation of the Nonlinear Information Bottleneck
[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
[ICML'24] Official PyTorch Implementation of TimeX++
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022
Project for the Large Scale Optimization course at Skoltech
Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)
About Codes for ACL 2023 paper: Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
[ICMLW 2023, IEEE CISS 2024] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
The official repository for AAAI 2024 Oral paper "Structured Probabilistic Coding".
DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.
A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Package for information-theoretic data analysis
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