ajaysub110 / critical-band-maskingLinks
Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"
☆12Updated 2 years ago
Alternatives and similar repositories for critical-band-masking
Users that are interested in critical-band-masking are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023☆89Updated last year
- LENS Project☆51Updated last year
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.☆38Updated 2 months ago
- [ICLR 23] A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled c…☆128Updated last year
- 👋 Aligning Human & Machine Vision using explainability☆53Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆40Updated last year
- Official PyTorch implementation of improved B-cos models☆55Updated 3 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- [ICLR 23 spotlight] An automatic and efficient tool to describe functionalities of individual neurons in DNNs☆59Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆113Updated 2 years ago
- Visual Concept Connectome☆14Updated last year
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆17Updated last year
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆20Updated 2 years ago
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆27Updated 11 months ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12Updated 2 years ago
- Improving neural network representations using human similarity judgments☆13Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 3 years ago
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆358Updated 8 months ago
- ☆43Updated last year
- [NeurIPS2022] Mind Reader: Reconstructing complex images from brain activities☆62Updated 3 years ago
- [NeurIPS 23' Oral] Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity☆27Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆41Updated 2 years ago
- GCPR 2023 - DeViL: Decoding Vision features into Language☆12Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- Sparse Linear Concept Embeddings☆126Updated 8 months ago