Trustworthy-ML-Lab / Linear-ExplanationsLinks
[ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks
☆13Updated 5 months ago
Alternatives and similar repositories for Linear-Explanations
Users that are interested in Linear-Explanations are comparing it to the libraries listed below
Sorting:
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆16Updated last year
- [TMLR 25] An automated method for explaining complex neuron behaviors in deep vision models using large language models☆10Updated 7 months ago
- Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆37Updated 5 months ago
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆11Updated last year
- (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation☆42Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Updated 2 years ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Updated last year
- What do we learn from inverting CLIP models?☆55Updated last year
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆33Updated last year
- LCA-on-the-line (ICML 2024 Oral)☆13Updated 7 months ago
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆26Updated 8 months ago
- ☆27Updated last year
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆39Updated 10 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆15Updated last month
- [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"☆12Updated last year
- Holistic evaluation of multimodal foundation models☆48Updated last year
- Official PyTorch implementation of "CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning" @ ICCV 2023☆37Updated last year
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 2 years ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆40Updated 11 months ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆13Updated 3 years ago
- ☆15Updated 6 months ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆31Updated 2 years ago
- AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies☆23Updated last year
- ☆25Updated 2 months ago
- Code for paper "Out-of-Domain Robustness via Targeted Augmentations"☆13Updated 2 years ago
- Official code implementation for the paper "Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Expl…☆12Updated 6 months ago
- ☆15Updated 3 years ago