Popular GitHub Repositories for Bottleneck

Unsupervised Speech Decomposition Via Triple Information Bottleneck

Implementation of Bottleneck Transformer in Pytorch

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

Official PyTorch implementation of Fully Attentional Networks

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

Bottleneck Transformers for Visual Recognition

Pytorch implementation of Deep Variational Information Bottleneck

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

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'.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

[NeurIPS 2021] Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"

Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021

Tensorflow implementation of deep variational information bottleneck

Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models

?PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024

Official implementation of "Multi-scale Bottleneck Transformer for Weakly Supervised Multimodal Violence Detection"

Unsupervised Speech Decomposition via Triple Information Bottleneck

Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.

[ICMLW 2023, IEEE CISS 2024] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy