(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
☆25Nov 10, 2022Updated 3 years ago
Alternatives and similar repositories for Realistic_Transductive_Few_Shot
Users that are interested in Realistic_Transductive_Few_Shot are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆42Jul 5, 2023Updated 2 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37May 4, 2021Updated 5 years ago
- Laplacian Regularized Few Shot Learning☆84Jun 9, 2022Updated 3 years ago
- ☆16Mar 9, 2023Updated 3 years ago
- Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid☆15Dec 6, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆33Mar 6, 2025Updated last year
- Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"☆25Jun 19, 2023Updated 2 years ago
- A really simple tool to visualize different segmentation results☆19Feb 24, 2025Updated last year
- A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification☆59Jan 6, 2023Updated 3 years ago
- Meta-Album meta-dataset for few-shot image classification☆27Mar 6, 2023Updated 3 years ago
- ☆17Apr 5, 2023Updated 3 years ago
- Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification☆40Mar 25, 2023Updated 3 years ago
- LightningFSL: Pytorch-Lightning implementations of Few-Shot Learning models.☆114Dec 27, 2022Updated 3 years ago
- Hack wrapper around zarr to make data access async☆17Dec 2, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A pytorch implementation of LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning(ICML 2019)☆12Nov 5, 2019Updated 6 years ago
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆24Jun 4, 2023Updated 2 years ago
- [ICML 2022] Channel Importance Matters in Few-shot Image Classification☆59Apr 19, 2023Updated 3 years ago
- ☆13Jun 20, 2022Updated 3 years ago