dizam92 / pyTorchRegLinks
Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
☆38Updated 3 years ago
Alternatives and similar repositories for pyTorchReg
Users that are interested in pyTorchReg are comparing it to the libraries listed below
Sorting:
- Uncertainty Autoencoders, AISTATS 2019☆56Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- ☆41Updated 4 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- Pytorch implementation of Adaptative Dropout a.ka Standout.☆12Updated 7 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 5 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆46Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.☆60Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆25Updated 4 years ago
- CVPR workshop (DiffCVML) 2020☆14Updated 5 years ago