leokarlin / LaSO
LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
☆86Updated 10 months ago
Alternatives and similar repositories for LaSO:
Users that are interested in LaSO are comparing it to the libraries listed below
- This repository contains the code for Instance Credibility Inference (ICI).☆83Updated 3 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 2 years ago
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆104Updated 3 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 5 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆137Updated 5 years ago
- ☆113Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆148Updated 3 years ago
- ☆90Updated 2 years ago
- Few shot learning☆155Updated 3 years ago
- ☆164Updated 2 years ago
- ☆60Updated 4 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆181Updated 6 months ago
- Awesome Few-shot learning☆54Updated 5 years ago
- Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"☆32Updated 5 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆165Updated 3 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆193Updated last year
- Orderless Recurrent Models for Multi-label Classification☆43Updated 4 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.☆58Updated 4 years ago
- ☆38Updated 4 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.☆15Updated 4 years ago
- ☆132Updated 3 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆81Updated 3 years ago
- code for ICCV19 paper "Deep Meta Metric Learning"☆109Updated 6 months ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆50Updated 4 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆160Updated last year
- Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy☆33Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago