B-cos / B-cos-v2
Official PyTorch implementation of improved B-cos models
☆43Updated 10 months ago
Alternatives and similar repositories for B-cos-v2:
Users that are interested in B-cos-v2 are comparing it to the libraries listed below
- B-cos Networks: Alignment is All we Need for Interpretability☆105Updated last year
- Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. NeurIPS 2024.☆29Updated last month
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆15Updated 9 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆61Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆99Updated 10 months ago
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆52Updated last year
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆30Updated 2 months ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆46Updated 7 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 6 months ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆202Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆104Updated last year
- ☆37Updated 8 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆131Updated last year
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆37Updated 8 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆31Updated 4 months ago
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆23Updated last month
- ☆62Updated 3 months ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆49Updated 4 months ago
- ☆107Updated last year
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆132Updated last year
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆63Updated 3 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆20Updated last month
- List of papers that combine self-supervision and continual learning☆62Updated 2 months ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)☆65Updated 10 months ago
- Information Bottlenecks for Attribution☆77Updated 2 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆59Updated 4 years ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated last year
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated 2 years ago
- Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).☆36Updated last year