yaoyao-liu / e3bmLinks
PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
☆48Updated last year
Alternatives and similar repositories for e3bm
Users that are interested in e3bm are comparing it to the libraries listed below
Sorting:
- Class Normalization for Continual Zero-Shot Learning☆34Updated 4 years ago
- Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20☆25Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 5 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆105Updated 4 years ago
- MoCo with Alignment and Uniformity Loss.☆62Updated 3 years ago
- The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"☆22Updated 4 years ago
- Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]☆89Updated 3 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- PyTorch Implementation for ICCV19 paper "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective"☆33Updated 5 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- MoPro: Webly Supervised Learning☆88Updated 3 months ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.☆77Updated 4 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
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- Regularizing Meta-Learning via Gradient Dropout☆53Updated 5 years ago
- ☆42Updated 4 years ago
- ☆83Updated last year
- codes for Heuristic Domain Adaptation (NeurIPS2020)☆57Updated 4 years ago
- (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"☆58Updated 2 years ago
- Hyperspherical Prototype Networks☆67Updated 5 years ago
- ☆46Updated 2 years ago