haebeom-lee / dropmaxLinks
Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)
☆18Updated 5 years ago
Alternatives and similar repositories for dropmax
Users that are interested in dropmax are comparing it to the libraries listed below
Sorting:
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆57Updated 5 years ago
- ☆14Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- ☆34Updated 6 years ago
- ☆32Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"☆21Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Code for Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks☆30Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆34Updated 6 years ago
- Torch implementation of orthoreg.☆15Updated 3 years ago
- Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)☆14Updated 6 years ago