dfan / awa2-zero-shot-learning
Zero shot learning on Animals with Attributes 2 dataset using PyTorch.
☆38Updated 6 years ago
Alternatives and similar repositories for awa2-zero-shot-learning:
Users that are interested in awa2-zero-shot-learning are comparing it to the libraries listed below
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 4 years ago
- official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)☆61Updated 4 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆181Updated 2 years ago
- ☆90Updated 3 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆135Updated 5 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆109Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 5 years ago
- PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")☆44Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 5 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆166Updated 3 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆64Updated 3 years ago
- Laplacian Regularized Few Shot Learning☆82Updated 2 years ago
- ARML for ICLR 2020☆42Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆100Updated 4 years ago
- ☆185Updated 5 months ago
- MLTI for ICLR 2022☆30Updated 2 years ago
- Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol☆63Updated 4 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
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Updated 3 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆202Updated 2 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆143Updated 4 years ago
- ☆154Updated 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
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 5 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆288Updated last year
- ☆114Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- ☆69Updated 5 years ago