Trustworthy-ML-Lab / CLIP-dissectLinks
[ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs
☆55Updated last year
Alternatives and similar repositories for CLIP-dissect
Users that are interested in CLIP-dissect are comparing it to the libraries listed below
Sorting:
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆112Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆84Updated last year
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆26Updated 7 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆96Updated last year
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆58Updated 2 years ago
- Code for [Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models.☆12Updated 9 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆109Updated 2 years ago
- [NeurIPS 24] A new training and evaluation framework for learning interpretable deep vision models and benchmarking different interpretab…☆20Updated 3 months ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆37Updated last year
- Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models☆103Updated 2 years ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆55Updated 5 months ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆42Updated 2 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated 2 years ago
- Concept Bottleneck Models, ICML 2020☆212Updated 2 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆48Updated 10 months ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆32Updated last year
- ☆13Updated 3 years ago
- ☆21Updated last year
- Sparse Linear Concept Embeddings☆112Updated 5 months ago
- SpuCo is a Python package developed to further research to address spurious correlations.☆24Updated 8 months ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- ☆39Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- ☆64Updated 3 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆25Updated 2 years ago