haebeom-lee / dropmax
Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)
☆19Updated 4 years ago
Related projects: ⓘ
- ☆14Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 3 years ago
- ☆32Updated 5 years ago
- ☆34Updated 5 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 6 years ago
- Official adversarial mixup resynthesis repository☆33Updated 4 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆31Updated 4 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- An implementation of shampoo☆73Updated 6 years ago
- This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…☆56Updated 4 years ago
- Improving generalization by controlling label-noise information in neural network weights.☆39Updated 3 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 6 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 6 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated last year
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 5 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 5 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆55Updated 6 years ago
- Gradients as Features for Deep Representation Learning☆41Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆99Updated 4 years ago
- ☆27Updated 6 years ago
- ☆21Updated 4 years ago
- ☆23Updated 5 years ago