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 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆73Updated 2 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆33Updated 2 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 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
- PyTorch Explain: Interpretable Deep Learning in Python.☆166Updated last year
- ☆47Updated 2 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 3 years ago
- Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)☆13Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Uncertainty-aware representation learning (URL) benchmark☆105Updated 9 months ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated 2 years ago
- Personal implementation of ASIF by Antonio Norelli☆26Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- ☆35Updated 4 years ago
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 2 years ago
- ☆39Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Natural Language Descriptions of Deep Visual Features, ICLR 2022☆65Updated 2 years ago
- Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding☆73Updated 4 years ago
- ☆54Updated last year
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆91Updated last year
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year