mkirchhof / url
Uncertainty-aware representation learning (URL) benchmark
☆99Updated 11 months ago
Alternatives and similar repositories for url:
Users that are interested in url are comparing it to the libraries listed below
- ☆62Updated 3 months ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆39Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆131Updated last year
- Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"☆47Updated 8 months ago
- Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704☆28Updated last year
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆49Updated 5 months ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆203Updated last year
- ☆44Updated 2 years ago
- ☆34Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆24Updated this week
- Code for the paper: B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. NeurIPS 2024.☆29Updated last month
- Conformal prediction for uncertainty quantification in image segmentation☆18Updated last month
- ☆143Updated last year
- ☆107Updated last year
- ☆108Updated 2 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- ☆8Updated last year
- TorchDR - PyTorch Dimensionality Reduction☆75Updated last week
- Personal implementation of ASIF by Antonio Norelli☆25Updated 8 months ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆26Updated 9 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- ☆31Updated 9 months ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- Visualizing representations with diffusion based conditional generative model.☆87Updated last year
- ☆17Updated 4 months ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆47Updated 6 months ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆61Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Recycling diverse models☆44Updated 2 years ago