maragraziani / concept_discovery_svdLinks
Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantically distinct meaning.
☆14Updated 2 years ago
Alternatives and similar repositories for concept_discovery_svd
Users that are interested in concept_discovery_svd are comparing it to the libraries listed below
Sorting:
- Uncertainty-aware representation learning (URL) benchmark☆106Updated 9 months ago
- ☆33Updated last year
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆71Updated 2 years ago
- Recycling diverse models☆46Updated 2 years ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆121Updated 6 months ago
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆55Updated last year
- Understanding how features learned by neural networks evolve throughout training☆41Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆29Updated last year
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆62Updated last year
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆72Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated 2 years ago
- [NeurIPS 2024] 🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors.☆36Updated 2 months ago
- Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…☆93Updated last year
- Official repo of Progressive Data Expansion: data, code and evaluation☆29Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆38Updated last year
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆41Updated 10 months ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- Code for Principal Masked Autoencoders☆30Updated 9 months ago
- PAL: Predictive Analysis & Laws of Large Language Models☆39Updated last year
- ☆32Updated 6 months ago
- [ICCV25] Official Implementation of LeGrad☆86Updated last year
- ☆23Updated last year
- ☆69Updated last year
- Code for paper: "Privately generating tabular data using language models".☆15Updated 2 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆30Updated 3 years ago
- Benchmarking algorithms for assessing quality of data labeled by multiple annotators☆34Updated last month
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆74Updated 2 years ago