mtcrawshaw / meta
A library for multi-task learning and meta-learning.
☆11Updated 2 years ago
Alternatives and similar repositories for meta:
Users that are interested in meta are comparing it to the libraries listed below
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Updated 4 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 5 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Updated 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☆21Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- 基于numpy实现的简单神经网络框架☆15Updated 6 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 3 years ago
- ☆10Updated 5 years ago
- pytorch读取tfrecords,构造数据流☆16Updated 5 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- List of papers that applied graph network to NLP☆13Updated 5 years ago
- ☆17Updated 5 years ago
- tf2.0 implementation of circle loss☆32Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆13Updated 6 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆37Updated 7 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- A fully differentiable architecture search for GANs☆17Updated 3 years ago
- growing interpretable part graphs on convnets via multi-shot learning, in AAAI 2017☆16Updated 7 years ago
- ☆20Updated 6 years ago
- Reversible Recurrent Neural Network Pytorch Implementation☆21Updated 7 years ago
- Implementation and usage of marginalized stacked denoising autoencoders (mSDA)☆23Updated 8 years ago
- Code for Active Mixup in 2020 CVPR☆22Updated 3 years ago
- ☆51Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 5 years ago
- Sampling Matters in Deep Embedding Learning (ICCV'17)☆14Updated 6 years ago
- Source code for "Training Generative Adversarial Networks Via Turing Test".☆13Updated 4 years ago