NoahVl / Explaining-In-Style-Reproducibility-StudyLinks
Re-implementation of the StylEx paper, training a GAN to explain a classifier in StyleSpace, paper by Lang et al. (2021).
☆37Updated last year
Alternatives and similar repositories for Explaining-In-Style-Reproducibility-Study
Users that are interested in Explaining-In-Style-Reproducibility-Study are comparing it to the libraries listed below
Sorting:
- Visualizing representations with diffusion based conditional generative model.☆97Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆66Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- B-cos Networks: Alignment is All we Need for Interpretability☆110Updated last year
- ☆185Updated last year
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆131Updated 2 years ago
- ☆222Updated 4 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 5 months ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆66Updated 3 weeks ago
- STEEX: Steering Counterfactual Explanations with Semantics☆21Updated 2 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆107Updated 2 years ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆31Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆54Updated last year
- Code release for "Semi-supervised learning made simple with self-supervised clustering"☆60Updated 2 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆78Updated 3 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆108Updated 3 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆23Updated 3 years ago
- Code for Diff-SCM paper☆97Updated 2 years ago
- ☆160Updated 3 years ago
- A repository to house some personal attempts to beat some state-of-the-art for medical datasets☆99Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 3 years ago
- Official PyTorch Implementation of "Rosetta Neurons: Mining the Common Units in a Model Zoo"☆31Updated last year
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.☆33Updated 2 months ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆146Updated 4 years ago
- PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.☆125Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆134Updated 3 years ago