hytseng0509 / DropGrad
Regularizing Meta-Learning via Gradient Dropout
☆52Updated 4 years ago
Alternatives and similar repositories for DropGrad:
Users that are interested in DropGrad are comparing it to the libraries listed below
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆25Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Pytorch implementation of Meta-Learned Confidence for Few-shot Learning☆71Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"☆28Updated 3 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆104Updated 4 years ago
- SKD : Self-supervised Knowledge Distillation for Few-shot Learning☆96Updated last year
- Ensembles of CNNs for few-shot image classification☆53Updated 4 years ago
- ☆46Updated 2 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆65Updated 2 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆55Updated 3 years ago
- Evaluating AlexNet features at various depths☆39Updated 4 years ago
- Unsupervised Domain Adaptation through Self-Supervision☆79Updated 3 years ago
- Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)☆56Updated 4 years ago
- ☆42Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"☆17Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆119Updated 3 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Updated last year
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- ☆21Updated 5 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆69Updated 2 years ago
- Learning To Stop While Learning To Predict☆34Updated 2 years ago