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).
☆38Updated 2 years ago
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:
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆103Updated 2 years ago
- B-cos Networks: Alignment is All we Need for Interpretability☆114Updated 2 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆42Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆90Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆50Updated last year
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆30Updated 2 years ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆91Updated last year
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆110Updated 3 years ago
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 10 months ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 3 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- ☆223Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- [NeurIPS 2021] Manifold Topology Divergence: a Framework for Comparing Data Manifolds☆15Updated 3 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- ☆190Updated 2 years ago
- Source code for the Nature Machine Intelligence paper: When and how convolutional neural networks generalize to out-of-distribution categ…☆24Updated 3 years ago
- A Domain-Agnostic Benchmark for Self-Supervised Learning☆106Updated 2 years ago
- (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Rob…☆79Updated 3 years ago
- Information Bottlenecks for Attribution☆84Updated 3 years ago
- Learning to See by Looking at Noise☆114Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Updated last year
- [NeurIPS 2024] Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable.☆38Updated 3 months ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆133Updated 3 years ago
- ☆47Updated 3 years ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Updated 3 years ago