guillaumejs2403 / DiMELinks
Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
☆26Updated 3 months ago
Alternatives and similar repositories for DiME
Users that are interested in DiME are comparing it to the libraries listed below
Sorting:
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆9Updated 8 months ago
- This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''☆42Updated 3 months ago
- ☆39Updated last year
- Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation (ECCV 2024 ORAL)☆15Updated 9 months ago
- Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning☆28Updated last year
- Pytorch implementation of TDPM☆34Updated 2 years ago
- The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)☆26Updated last year
- Separable Diffusion Model Unlearning☆12Updated 4 months ago
- ☆42Updated last year
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- ☆29Updated last year
- ☆10Updated 2 months ago
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆24Updated last year
- source code for NeurIPS'24 paper "Towards Calibrated Robust Fine-Tuning of Vision-Language Models"☆13Updated 9 months ago
- pytorch code for improved-precision-and-recall-metric☆25Updated 5 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆41Updated 2 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Updated last year
- [CVPR 2024] Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation☆40Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- This is the official implementation of the Concept Discovery Models paper.☆13Updated last year
- ☆24Updated last year
- Official repository for our paper Robust Models are less Over-Confident☆20Updated 3 months ago
- The Pytorch implementation for "Are Data-driven Explanations Robust against Out-of-distribution Data?" (CVPR 2023)☆9Updated 8 months ago
- Official code implement of "Your Diffusion Model is Secretly a Certifiably Robust Classifier"☆15Updated last year
- Learning Bottleneck Concepts in Image Classification (CVPR 2023)☆40Updated last year
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 11 months ago
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆50Updated last year
- [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization☆30Updated 8 months ago
- ICCV 2023: The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation☆12Updated last year
- Official code for "Probabilistic Concept Bottleneck Models (ICML 2023)"☆17Updated last year