hamidkazemi22 / CLIPInversionLinks
What do we learn from inverting CLIP models?
☆57Updated last year
Alternatives and similar repositories for CLIPInversion
Users that are interested in CLIPInversion are comparing it to the libraries listed below
Sorting:
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆114Updated 2 years ago
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆77Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆35Updated last year
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆15Updated 2 months ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆148Updated 6 months ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆107Updated 2 years ago
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆78Updated 2 years ago
- ☆65Updated last year
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆42Updated last year
- A simple and efficient baseline for data attribution☆11Updated 2 years ago
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆15Updated 8 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- ☆37Updated 11 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆49Updated last year
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆11Updated last year
- ☆60Updated last year
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated 2 years ago
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆13Updated 7 months ago
- ☆80Updated 3 years ago
- ☆23Updated last year
- Erasing conceptual knowledge from language models through low-rank fine-tuning☆19Updated 8 months ago
- Official code for "Can We Talk Models Into Seeing the World Differently?" (ICLR 2025).☆27Updated 10 months ago
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Updated 3 years ago
- Host CIFAR-10.2 Data Set☆13Updated 4 years ago
- Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]☆51Updated last year
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆41Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated 2 years ago
- Official code for the paper "Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?" (ICLR 2024)☆10Updated last year
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆139Updated 6 months ago