DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations
☆10Oct 9, 2024Updated last year
Alternatives and similar repositories for DiG-IN
Users that are interested in DiG-IN are comparing it to the libraries listed below
Sorting:
- ☆13Jun 23, 2022Updated 3 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 2 years ago
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆29Mar 12, 2025Updated 11 months ago
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2022/2023☆16Aug 8, 2023Updated 2 years ago
- ☆10Mar 13, 2024Updated last year
- ☆46May 8, 2024Updated last year
- PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)☆12Dec 24, 2023Updated 2 years ago
- Sample Average Approximation (SAA) in Newsvendor☆11Aug 15, 2020Updated 5 years ago
- ☆41Mar 27, 2024Updated last year
- Tactical Observation of RF GNSS Interference☆14Jun 25, 2020Updated 5 years ago
- Deep Spiking Convolutional Neural Network for Epilepsy Detection☆11May 14, 2020Updated 5 years ago
- Official Implementation of SEA: Sparse Linear Attention with Estimated Attention Mask (ICLR 2024)☆11Jun 20, 2025Updated 8 months ago
- Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations☆12Dec 10, 2024Updated last year
- Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm☆11Jun 7, 2021Updated 4 years ago
- Multivariate distributions for hyperspectral anomaly detection based on autoencoder☆11Jan 26, 2022Updated 4 years ago
- Multiple instance learning bag generation code using data from the ECOSTRESS Spectral Library V1.0.☆13Mar 25, 2020Updated 5 years ago
- MDPC+：Clustering by fast detection of main density peaks within a peak digraph☆10Feb 4, 2023Updated 3 years ago
- Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets☆12May 25, 2023Updated 2 years ago
- Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective☆11Nov 16, 2022Updated 3 years ago
- ☆10Oct 16, 2019Updated 6 years ago
- [AAAI 2025] Official Implementation of "HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting"☆16Feb 17, 2025Updated last year
- [TMLR 25] An automated method for explaining complex neuron behaviors in deep vision models using large language models☆10Feb 20, 2025Updated last year
- A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral image…☆10Nov 20, 2020Updated 5 years ago
- Detection of abnormal patterns in electricity usage via time series forecasting☆11Apr 15, 2018Updated 7 years ago
- Python code of information geometric causal inference☆12Aug 20, 2019Updated 6 years ago
- ☆12Mar 24, 2021Updated 4 years ago
- [CVPR'25] AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data☆17Mar 27, 2025Updated 11 months ago
- ☆12Feb 19, 2025Updated last year
- Y. Wu, L. Jiao, X. Liu, F. Liu, S. Yang and L. Li, Domain Adaptation-aware Transformer for Hyperspectral Object Tracking. IEEE Transactio…☆12Jul 15, 2024Updated last year
- Eye diagrams are used for visual analysis of the severity of inter symbol interference (ISI), accuracy of sampling timing extraction and …☆13Jul 18, 2020Updated 5 years ago
- Neural model state and parameter estimation from data (Karoly et al 2018)☆10Mar 20, 2020Updated 5 years ago
- MATLAB and Simulink models for minimum shift keying☆11Aug 21, 2020Updated 5 years ago
- Learning Low-rank and Sparse Discriminative Correlation Filters for Coarse-to-Fine Visual Object Tracking☆10Apr 15, 2021Updated 4 years ago
- This repository is about my work "Infrared Small Target Using Tri-layer Template Local Difference Measure", including the link of paper, …☆12Apr 20, 2022Updated 3 years ago
- [IEEE GRSL 2017] Group Lasso-Based Band Selection for Hyperspectral Image Classification☆11Dec 25, 2017Updated 8 years ago
- Blind Source Separation (BSS) refers to a problem where both the sources and the mixing methodology are unknown, only mixture signals are…☆11Aug 13, 2020Updated 5 years ago
- Distilling Model Failures as Directions in Latent Space☆47Feb 8, 2023Updated 3 years ago
- One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)☆14Sep 28, 2025Updated 5 months ago
- Official code for "TAEF: Transformer-Based Autoencoder Framework for Nonlinear Hyperspectral Anomaly Detection Detection" [TGRS2024]☆14Dec 28, 2023Updated 2 years ago