Sakura03 / SemiMetaLinks
☆13Updated 4 years ago
Alternatives and similar repositories for SemiMeta
Users that are interested in SemiMeta are comparing it to the libraries listed below
Sorting:
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆80Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Updated 5 years ago
- Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)☆64Updated 6 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆55Updated 6 years ago
- Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)☆93Updated 6 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Code for our ECCV paper -- "Learning to Balance Specificity and Invariance for In and Out of Domain Generalization"☆56Updated 5 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆100Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- Implementation and datasets for Efficient Domain Generalization via Common-Specific Low-Rank Decomposition (https://arxiv.org/abs/2003.12…☆53Updated 5 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- repository for Universal Domain Adaptation through Self-supervision☆124Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆121Updated 5 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆149Updated 2 years ago
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Updated 5 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆120Updated 5 years ago
- Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)☆81Updated 2 years ago
- Domain agnostic learning with disentangled representations☆147Updated 6 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- codes for Heuristic Domain Adaptation (NeurIPS2020)☆57Updated 4 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 5 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Updated 4 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago