B-cos / B-cos-v2
Official PyTorch implementation of improved B-cos models
☆42Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for B-cos-v2
- B-cos Networks: Alignment is All we Need for Interpretability☆105Updated 11 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆15Updated 7 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆20Updated 8 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆55Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆128Updated last year
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆37Updated 5 months ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆129Updated last year
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆28Updated this week
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆31Updated 7 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆29Updated 2 months ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆62Updated last year
- Uncertainty-aware representation learning (URL) benchmark☆98Updated 8 months ago
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆71Updated 5 months ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆34Updated last year
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆54Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆98Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆48Updated 2 months ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆203Updated last year
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆43Updated 5 months ago
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆34Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆43Updated 3 months ago
- ☆105Updated last year
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆11Updated 9 months ago
- ☆35Updated 6 months ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆116Updated last year
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆100Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆65Updated last year
- ☆16Updated 5 months ago