shrebox / B-cosification
[NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.
☆30Updated last month
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☆47Updated last year
- B-cos Networks: Alignment is All we Need for Interpretability☆109Updated last year
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆21Updated last month
- Official code for "Good Teachers Explain: Explanation-enhanced Knowledge Distillation", ECCV 2024☆19Updated 6 months ago
- ☆65Updated 7 months ago
- Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"☆30Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆62Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 10 months ago
- Code release for "Improved baselines for vision-language pre-training"☆60Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆103Updated 2 months ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆52Updated 8 months ago
- Sparse Linear Concept Embeddings☆96Updated last month
- This is a repository that implements the Dense NN Retrieval Evaluation used for evaluating the In-Context Learning Capabilities of Vision…☆20Updated last week
- Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023☆164Updated last year
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).☆37Updated last year
- Visualizing representations with diffusion based conditional generative model.☆95Updated 2 years ago
- ☆184Updated last year
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆11Updated 8 months ago
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆23Updated 3 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆51Updated 11 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆16Updated last year
- Library implementation of "No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations"☆36Updated 6 months ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"☆12Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆77Updated 11 months ago
- Create generated datasets and train robust classifiers☆35Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆19Updated 2 years ago
- Code and instructions accompanying ICCV'23 paper Protoype-based Dataset Comparison☆18Updated last year
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆37Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆35Updated 8 months ago