paulgavrikov / vlm_shapebias
Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).
☆20Updated 2 weeks ago
Alternatives and similar repositories for vlm_shapebias:
Users that are interested in vlm_shapebias are comparing it to the libraries listed below
- An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆42Updated last year
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆19Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 6 months ago
- Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…☆56Updated last year
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆31Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆61Updated last year
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆33Updated 5 months ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆14Updated 8 months ago
- Create generated datasets and train robust classifiers☆33Updated last year
- Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)☆22Updated last year
- ☆16Updated 8 months ago
- Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. NeurIPS 2024.☆29Updated 2 months ago
- This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning☆24Updated last year
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆11Updated 4 months ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆33Updated last year
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆37Updated 3 months ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆20Updated 2 months ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated last year
- The example of correspondence between fine classes and superclass (coarse class) in ImageNet.☆12Updated 2 months ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆30Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆73Updated 8 months ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆50Updated 5 months ago
- What do we learn from inverting CLIP models?☆49Updated 11 months ago
- ☆40Updated last year
- Code release for "Understanding Bias in Large-Scale Visual Datasets"☆18Updated 2 months ago
- Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"☆30Updated last year
- Official Repository of "On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers" (Visual Continual Learnin…☆8Updated last year
- CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification☆86Updated 8 months ago
- Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"☆12Updated last year