mlbio-epfl / humeLinks
[NeurIPS 2023 Spotlight] The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
☆17Updated 2 years ago
Alternatives and similar repositories for hume
Users that are interested in hume are comparing it to the libraries listed below
Sorting:
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆40Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- ☆17Updated last year
- ☆46Updated 2 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆42Updated 2 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆36Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- A PyTorch implementation of the Variational approach for PU learning☆31Updated 5 years ago
- ☆31Updated 6 months ago
- Weakly Supervised Contrastive Learning☆44Updated 4 years ago
- ☆11Updated 9 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 4 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- LISA for ICML 2022☆51Updated 2 years ago
- ☆44Updated 2 weeks ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆46Updated 2 years ago
- ☆42Updated 2 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆123Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆39Updated last year
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆111Updated 2 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆25Updated 2 years ago