shrebox / B-cosificationLinks
[NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
☆39Updated 3 months ago
Alternatives and similar repositories for B-cosification
Users that are interested in B-cosification are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of improved B-cos models☆55Updated last month
- [ICCV25] Official Implementation of LeGrad☆87Updated last year
- Sparse Linear Concept Embeddings☆130Updated 10 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆106Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆114Updated 2 years ago
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆27Updated last year
- [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…☆29Updated 8 months ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆59Updated 2 years ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆21Updated 10 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Updated last year
- Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023☆196Updated 2 years ago
- Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models☆26Updated 4 months ago
- [CVPR 2023] Learning Visual Representations via Language-Guided Sampling☆149Updated 2 years ago
- LENS Project☆52Updated last year
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆115Updated last year
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆132Updated last year
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- ☆192Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 11 months ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆57Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆43Updated 2 years ago
- Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders☆131Updated 10 months ago
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).☆38Updated 2 years ago
- Code release for "Improved baselines for vision-language pre-training"☆62Updated last year
- Self-Supervised Learning in PyTorch☆143Updated last year
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆169Updated 3 years ago
- PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning☆232Updated last year