ema-marconato / glancenetLinks
Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
☆25Updated 2 years ago
Alternatives and similar repositories for glancenet
Users that are interested in glancenet are comparing it to the libraries listed below
Sorting:
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆55Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆161Updated last year
- 👋 Overcomplete is a Vision-based SAE Toolbox☆77Updated last month
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆46Updated 2 years ago
- ☆37Updated last year
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆23Updated last year
- Codebase for Neuro-Symbolic Continual Learning.☆22Updated 2 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Quantification of Uncertainty with Adversarial Models☆30Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- ☆108Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆66Updated 3 weeks ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆21Updated 2 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 5 months ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆64Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago