DelTA-Lab-IITK / U-CAMLinks
Visual Explanation using Uncertainty based Class Activation Maps
☆23Updated 5 years ago
Alternatives and similar repositories for U-CAM
Users that are interested in U-CAM are comparing it to the libraries listed below
Sorting:
- ☆24Updated 6 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆25Updated 7 years ago
- reproduce ICLR18 paper "Learn to Pay Attention"☆18Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 5 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- ☆46Updated 4 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"☆27Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆30Updated 2 years ago
- Code for paper "AI for radiographic COVID-19 detection selects shortcuts over signal"☆29Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆77Updated 3 years ago
- ICML 18 workshop - A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases☆15Updated 6 years ago
- ☆46Updated 4 years ago
- 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
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 5 years ago
- Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019☆38Updated 4 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 2 years ago
- Continual learning using variational prototype replays☆9Updated 4 years ago
- Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…☆25Updated 3 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 5 months ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Updated 10 months ago
- Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification☆17Updated 5 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago