vinbhaskara / AdamSLinks
PyTorch Code for the Paper: "Exploiting Uncertainty of Loss Landscape for Stochastic Optimization [Bhaskara et al. (2019)]
☆15Updated 2 weeks ago
Alternatives and similar repositories for AdamS
Users that are interested in AdamS are comparing it to the libraries listed below
Sorting:
- "Learning Rate Dropout" in PyTorch☆34Updated 6 years ago
- Unofficial pytorch implementation of ReZero in ResNet☆24Updated 5 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
- ☆23Updated 7 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- Simple experiment of Apex (A PyTorch Extension)☆47Updated 6 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- A PyTorch implementation of MNASNET☆47Updated 7 years ago
- An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch☆21Updated 7 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- ☆28Updated 5 years ago
- Swish Activation - PyTorch CUDA Implementation☆37Updated 6 years ago
- Minimal API for receptive field calculation in PyTorch☆68Updated 3 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- ☆34Updated 7 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Unofficial implementation of Stand-Alone Self-Attention in Vision Models (obsolete)☆44Updated 6 years ago
- ☆26Updated 6 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 7 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- ☆33Updated last year
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Easy Multiprocessing for Python☆42Updated 5 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 6 years ago
- A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).☆140Updated 5 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated last year
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 3 years ago
- Advanced optimizer with Gradient-Centralization☆21Updated 5 years ago