naoto0804 / pytorch-VATLinks
Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
☆26Updated 7 years ago
Alternatives and similar repositories for pytorch-VAT
Users that are interested in pytorch-VAT are comparing it to the libraries listed below
Sorting:
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated last month
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Gold Loss Correction☆87Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- ☆34Updated 7 years ago
- ☆14Updated 6 years ago
- ☆34Updated 6 years ago
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆18Updated 5 years ago
- ☆32Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- ☆24Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- Pytorch implementation of Virtual Adversarial Training☆134Updated 6 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆53Updated 4 years ago
- Learning From Noisy Singly-labeled Data☆18Updated 7 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 11 months 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
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 4 years ago