Trustworthy-ML-Lab / Describe-and-DissectLinks
[TMLR 25] An automated method for explaining complex neuron behaviors in deep vision models using large language models
☆10Updated 11 months ago
Alternatives and similar repositories for Describe-and-Dissect
Users that are interested in Describe-and-Dissect are comparing it to the libraries listed below
Sorting:
- [ICML 24] A novel automated neuron explanation framework that can accurately describe poly-semantic concepts in deep neural networks☆14Updated 9 months ago
- Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)☆19Updated 2 years ago
- Code for the CCE algorithm proposed in "Towards Compositionality in Concept Learning" at ICML 2024.☆17Updated last year
- ☆25Updated 2 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- ☆12Updated 2 years ago
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆12Updated 5 months ago
- Code for T-MARS data filtering☆35Updated 2 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Updated 2 years ago
- Bias-to-Text: Debiasing Unknown Visual Biases through Language Interpretation☆32Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Test-Time Distribution Normalization For Contrastively Learned Vision-language Models☆27Updated 2 years ago
- An official PyTorch implementation for CLIPPR☆30Updated 2 years ago
- ☆17Updated last year
- Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)☆77Updated last year
- Official Implementation for PlugIn Inversion☆16Updated 4 years ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)☆11Updated 4 years ago
- ☆25Updated 3 weeks ago
- Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.☆113Updated 2 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆23Updated 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
- Official codebase for the NeurIPS 2023 paper: Towards Last-layer Retraining for Group Robustness with Fewer Annotations. https://arxiv.or…☆11Updated last year
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Updated 5 years ago
- [NLPCC'23] ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple Oracles PyTorch Implementation☆14Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Updated 2 years ago
- ☆35Updated 2 years ago
- ☆15Updated 3 years ago