PatrickZH / Awesome-Coreset-Selection
Awesome coreset/core-set/subset/sample selection works.
☆168Updated 6 months ago
Alternatives and similar repositories for Awesome-Coreset-Selection:
Users that are interested in Awesome-Coreset-Selection are comparing it to the libraries listed below
- Code for coreset selection methods☆218Updated last year
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆88Updated 3 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆108Updated last year
- ☆104Updated last year
- Distributionally robust neural networks for group shifts☆254Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆38Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- An implementation of the BADGE batch active learning algorithm.☆202Updated 7 months ago
- Official implementation of paper Gradient Matching for Domain Generalization☆117Updated 3 years ago
- ☆84Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated last year
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- ☆42Updated 2 months ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆104Updated last year
- Awesome Active Learning Paper List☆141Updated 9 months ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆94Updated last year
- Dataset Condensation (ICLR21 and ICML21)☆497Updated last year
- Data-efficient Training of Machine Learning Models☆62Updated 4 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆328Updated last year
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆73Updated 2 years ago
- Paper of out of distribution detection and generalization☆55Updated last year
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆54Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆146Updated last year
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆90Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆108Updated last year
- A simple PyTorch implementation of influence functions.☆84Updated 7 months ago
- ☆107Updated last year
- Optimal Transport Dataset Distance☆159Updated 2 years ago