ServiceNow / am3Links
Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
☆65Updated 3 years ago
Alternatives and similar repositories for am3
Users that are interested in am3 are comparing it to the libraries listed below
Sorting:
- Few shot learning☆155Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆156Updated 6 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 4 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 3 years ago
- LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation☆89Updated last year
- ☆91Updated 3 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆84Updated 4 years ago
- ☆132Updated 4 years ago
- ☆114Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Updated 4 years ago
- Learning to Self-Train for Semi-Supervised Few-Shot☆94Updated 2 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243Updated 6 years ago
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆213Updated 4 years ago
- Generative Dual Adversarial Network for Generalized Zero-shot Learning☆54Updated 5 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆199Updated 2 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆179Updated last year
- ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification☆105Updated 4 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Updated 7 years ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Updated 6 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation☆110Updated 7 years ago
- Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"☆33Updated 5 years ago
- ☆38Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆126Updated 4 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- Semantic Feature Augmentation in Few-shot Learning☆87Updated 6 years ago
- Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)☆58Updated 6 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆342Updated 5 years ago
- This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition"…☆53Updated 5 years ago