zeke-xie / stable-weight-decay-regularizationLinks
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
☆61Updated last year
Alternatives and similar repositories for stable-weight-decay-regularization
Users that are interested in stable-weight-decay-regularization are comparing it to the libraries listed below
Sorting:
- [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.☆28Updated 3 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆81Updated last year
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆117Updated 2 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated 2 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆45Updated 4 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆45Updated 3 years ago
- Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"☆22Updated 3 years ago
- an implementation of 'Recurrent Convolutional Neural Network for Object Recognition'☆25Updated 6 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 3 years ago
- PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)☆99Updated 3 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆74Updated 2 years ago
- ☆63Updated 2 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆121Updated 3 years ago
- Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…☆90Updated 3 years ago
- [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Dise…☆152Updated 2 years ago
- ☆58Updated 4 years ago
- [Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neur…☆33Updated 4 years ago
- Denoising Masked Autoencoders Help Robust Classification.☆67Updated 2 years ago
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 8 months ago
- [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wa…☆76Updated 3 years ago
- i-mae Pytorch Repo☆20Updated last year
- ☆58Updated 2 years ago
- [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…☆68Updated 2 years ago
- Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"☆66Updated 3 years ago
- A repository for DenseSSMs☆89Updated last year
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- ☆17Updated 3 years ago