BioroboticsLab / IBA
Information Bottlenecks for Attribution
☆79Updated 2 years ago
Alternatives and similar repositories for IBA:
Users that are interested in IBA are comparing it to the libraries listed below
- Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"☆77Updated 5 years ago
- Code to train the SimSiam model on cifar10 using PyTorch☆40Updated 3 years ago
- ☆39Updated last year
- ☆34Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆33Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- Figures & code from the paper "Shortcut Learning in Deep Neural Networks" (Nature Machine Intelligence 2020)☆97Updated 2 years ago
- ☆66Updated 5 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆36Updated last year
- ☆140Updated 4 years ago
- ☆73Updated 5 years ago
- A PyTorch converter for SimCLR checkpoints☆109Updated 4 years ago
- Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)☆38Updated 11 months ago
- An implementation of "A Simple Framework for Contrastive Learning of Visual Representatoins" SimCLR☆33Updated 4 years ago
- Original dataset release for CIFAR-10H☆82Updated 4 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)☆87Updated 3 months ago
- ☆92Updated 4 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 3 years ago
- ☆36Updated 3 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 3 years ago
- ☆107Updated last year
- Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.☆44Updated 3 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆125Updated last year
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 11 months ago
- ☆58Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆56Updated 3 years ago