fanconic / this-does-not-look-like-thatLinks
Code for the experiments of the ICML 2021 Interpretability workshop paper "This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks"
☆19Updated 2 years ago
Alternatives and similar repositories for this-does-not-look-like-that
Users that are interested in this-does-not-look-like-that are comparing it to the libraries listed below
Sorting:
- The official repository for Deformable ProtoPNet, as described in "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformab…☆51Updated 10 months ago
- ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)☆26Updated 3 years ago
- GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…☆14Updated 4 years ago
- ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021☆106Updated 3 years ago
- Base Code of "LifeLonger: A Benchmark for Continual Disease Classification, MICCAI, 2022"☆22Updated 2 years ago
- [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging☆69Updated 2 years ago
- ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition☆40Updated 2 years ago
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆67Updated 4 years ago
- [NIPS 2020] The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization'☆66Updated 4 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated last year
- Code for the paper https://arxiv.org/abs/2003.00827☆106Updated 3 years ago
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆35Updated 2 years ago
- PyTorch Transformer-based Language Model Implementation of ConceptSHAP☆14Updated 5 years ago
- The official code of Relevance-CAM☆45Updated last year
- Code paper Uncertainty Reduction for Uncertainty Reduction for Model Adaptation in Semantic Segmentation at CVPR 2021☆51Updated 3 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- Multilabel Out-of-Distribution Detection☆10Updated 4 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆110Updated 2 years ago
- This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.☆19Updated last year
- Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…☆50Updated 2 years ago
- SimMatch: Semi-supervised Learning with Similarity Matching☆94Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆98Updated last year
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Updated 2 years ago
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆27Updated last year
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆19Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆128Updated 5 months ago
- PyTorch code for Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings (ICCV 2021)☆44Updated 2 years ago
- ☆22Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Reproducing CheXpert paper using the PyTorch library.☆44Updated 2 years ago