hiram64 / temporal-ensembling-semi-supervisedLinks
Keras implementation of temporal ensembling(semi-supervised learning)
☆22Updated 6 years ago
Alternatives and similar repositories for temporal-ensembling-semi-supervised
Users that are interested in temporal-ensembling-semi-supervised are comparing it to the libraries listed below
Sorting:
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 9 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Multi heads attention for image classification☆80Updated 7 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- Few- and Zero-shot Multi-Label Learning for Structured Label Spaces☆49Updated 5 years ago
- Label Distribution Learning Forest☆30Updated 7 years ago
- Keras + tensorflow experiments with knowledge distillation on EMNIST dataset☆34Updated 7 years ago
- ☆20Updated 5 years ago
- Semi-Supervised Learning Method for Deep Neural Networks☆28Updated 7 years ago
- Deep Neural Network Ensembles for Extreme Classification☆41Updated 6 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆22Updated 4 years ago
- ☆14Updated 6 years ago
- Keras Label Smoothing for Supervised Learning☆11Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated 10 months ago
- An implementation of MixMatch with PyTorch☆36Updated 4 years ago
- Training Signal Annealing☆13Updated 5 years ago
- Keras implementation of knowledge distillation(Hinton, et al. 2015)☆19Updated 6 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 6 years ago