dfan / awa2-zero-shot-learningLinks
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
Sorting:
- Pytorch implementation of Deep Variational Information Bottleneck☆200Updated 7 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 5 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆216Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch☆148Updated 6 years ago
- MLTI for ICLR 2022☆30Updated 3 years ago
- An implementation of EWC with PyTorch☆254Updated 6 years ago
- Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆113Updated 5 years ago
- ☆155Updated 5 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆210Updated 3 years ago
- Elastic weight consolidation technique for incremental learning.☆145Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 3 years ago
- Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol☆65Updated 5 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆83Updated 3 years ago
- Theory and PyTorch implementation of Deep Variational Information Bottleneck☆33Updated 5 years ago
- Learning deep representations by mutual information estimation and maximization☆325Updated 6 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆281Updated last year
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆242Updated 11 months ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆145Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- ☆69Updated 5 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆138Updated 6 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 6 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆171Updated 2 years ago