zeke-xie / stable-weight-decay-regularizationLinks
[NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
☆62Updated 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:
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.☆27Updated 3 years ago
- Recent Advances in MLP-based Models (MLP is all you need!)☆117Updated 3 years ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆82Updated 2 years ago
- [NeurIPS 2022 Spotlight] This is the official PyTorch implementation of "EcoFormer: Energy-Saving Attention with Linear Complexity"☆73Updated 3 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)☆145Updated 3 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆79Updated 2 years ago
- Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)☆26Updated last year
- ResMLP: Feedforward networks for image classification with data-efficient training☆45Updated 4 years ago
- Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"☆37Updated last year
- ☆58Updated 2 years ago
- ☆57Updated 4 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆176Updated 2 years ago
- Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)☆44Updated 3 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆79Updated 3 years ago
- PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)☆99Updated 3 years ago
- This is the official PyTorch implementation for "Mesa: A Memory-saving Training Framework for Transformers".☆121Updated 4 years ago
- [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Dise…☆150Updated 2 years 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
- an implementation of 'Recurrent Convolutional Neural Network for Object Recognition'☆26Updated 6 years ago
- ☆63Updated 2 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Updated 4 years ago
- [ICLR 2024 Oral] Improving Convergence and Generalization Using Parameter Symmetries☆31Updated last year
- ☆84Updated 4 years ago
- Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)☆17Updated 4 years ago
- A simple minimal implementation of Reversible Vision Transformers☆126Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- ☆17Updated 3 years ago
- (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better☆43Updated 4 years ago