jannik-brinkmann / social-biases-in-vision-transformersLinks
[ICCV 2023] Official PyTorch implementation of "A Multidimensional Analysis of Social Biases in Vision Transformers"
☆12Updated last year
Alternatives and similar repositories for social-biases-in-vision-transformers
Users that are interested in social-biases-in-vision-transformers are comparing it to the libraries listed below
Sorting:
- ☆11Updated 10 months ago
- ☆13Updated last year
- Official repo for ICML25 paper: DCBM: Data-Efficient Visual Concept Bottleneck Models☆21Updated last month
- A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data☆17Updated 11 months ago
- (AAAI 2024) GradTree: Gradient-Based Axis-Aligned Decision Trees☆29Updated 5 months ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆158Updated last year
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆47Updated 9 months ago
- Improved image classification using a modified LIME framework, enabling user-driven hierarchical feature analysis through the integration…☆16Updated 4 months ago
- [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation☆93Updated 2 months ago
- ☆16Updated last week
- A package for benchmarking synthetic relational data generation methods☆58Updated this week
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆472Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆156Updated last month
- [NeurIPS 2024] CoSy is an automatic evaluation framework for textual explanations of neurons.☆16Updated last month
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 3 weeks ago
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆25Updated 5 months ago
- ☆10Updated 4 months ago
- Training code for TabDPT: Scaling Tabular Foundation Models on Real Data☆27Updated last week
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆139Updated 4 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- Specificy, execute and monitor performances of active learning pipelines.☆23Updated 10 months ago
- Concept Relevance Propagation for Localization Models, accepted at SAIAD workshop at CVPR 2023.☆15Updated last year
- 👋 Influenciae is a Tensorflow Toolbox for Influence Functions☆63Updated last year
- Tabular In-Context Learning☆84Updated 5 months ago
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆576Updated last month
- An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization☆131Updated last year
- Open-source framework for uncertainty and deep learning models in PyTorch☆417Updated this week
- Layer-wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]☆177Updated 3 weeks ago
- ☆484Updated 11 months ago