LevinRoman / parameter-space-saliencyLinks
Parameter-Space Saliency Maps for Explainability
☆23Updated 2 years ago
Alternatives and similar repositories for parameter-space-saliency
Users that are interested in parameter-space-saliency are comparing it to the libraries listed below
Sorting:
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆25Updated 5 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Fine-grained ImageNet annotations☆29Updated 5 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ☆13Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated last week
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆24Updated last year
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆11Updated 5 years ago
- ☆18Updated 2 years ago
- ☆12Updated 5 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- ☆34Updated 6 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- ☆18Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated 2 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- Label shift experiments☆17Updated 4 years ago
- ☆24Updated last month
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 8 months ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year