yuanwei2019 / EAdam-optimizer
Some improvements on Adam
☆28Updated 4 years ago
Alternatives and similar repositories for EAdam-optimizer:
Users that are interested in EAdam-optimizer are comparing it to the libraries listed below
- ☆9Updated 4 years ago
- The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".☆10Updated 5 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- (ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.☆21Updated 2 years ago
- A pytorch realization of adafactor (https://arxiv.org/pdf/1804.04235.pdf )☆23Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- Evolving Normalization-Activation Layers☆19Updated 4 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 8 months ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆35Updated 3 years ago
- Code base for SRSGD.☆28Updated 5 years ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆32Updated last year
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 4 years ago
- Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022☆36Updated 2 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated last year
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- ☆11Updated 6 years ago
- Role-Wise Data Augmentation for Knowledge Distillation☆18Updated 2 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation☆28Updated 3 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆91Updated 2 years ago
- ☆17Updated 4 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 3 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- Stochastic Weight Averaging Tutorials using pytorch.☆33Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago