[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
☆45Nov 11, 2023Updated 2 years ago
Alternatives and similar repositories for In-Time-Over-Parameterization
Users that are interested in In-Time-Over-Parameterization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020☆29Jan 6, 2022Updated 4 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Feb 11, 2023Updated 3 years ago
- [ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"☆13May 2, 2022Updated 3 years ago
- Federated Dynamic Sparse Training☆32May 26, 2022Updated 3 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20May 1, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Jun 15, 2022Updated 3 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- Official PyTorch implementation of CD-MOE☆12Mar 18, 2026Updated last week
- Code for testing DCT plus Sparse (DCTpS) networks☆14Jun 15, 2021Updated 4 years ago
- [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?☆12Feb 10, 2023Updated 3 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 3 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆17Mar 16, 2022Updated 4 years ago
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆18May 12, 2024Updated last year
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆109Apr 23, 2019Updated 6 years ago
- This is the official code for UGTs.☆13Feb 8, 2023Updated 3 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆335Jan 26, 2023Updated 3 years ago
- [ICLR 2023] 'Revisiting Pruning At Initialization Through The Lens of Ramanujan Graph" by Duc Hoang, Shiwei Liu, Radu Marculescu, Atlas W…☆14Aug 4, 2023Updated 2 years ago
- [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…☆16Apr 21, 2025Updated 11 months ago
- Official Pytorch Implementation of "Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity"☆81Jul 7, 2025Updated 8 months ago
- [NeurIPS 22'] Dynamic Sparse Network for Time Series Classification: Learning What to “See”☆24Dec 2, 2022Updated 3 years ago
- ☆12Aug 22, 2023Updated 2 years ago
- Change-point detection using neural networks☆21Dec 6, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Code for ICML 2021 submission☆35Mar 24, 2021Updated 5 years ago
- Code for ScaleFL☆34Dec 11, 2025Updated 3 months ago
- [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…☆33Apr 9, 2023Updated 2 years ago
- ☆71Jan 27, 2020Updated 6 years ago
- ☆20Jul 5, 2024Updated last year
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Feb 18, 2020Updated 6 years ago
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Jan 9, 2023Updated 3 years ago
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆51Apr 9, 2024Updated last year
- Sparse learning library and sparse momentum resources.☆385Jun 6, 2022Updated 3 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆19Mar 18, 2021Updated 5 years ago
- ☆27Mar 29, 2025Updated last year
- Code for Adaptive Deep Neural Network Inference Optimization with EENet☆12Mar 28, 2024Updated 2 years ago
- Official Pytorch Implementation of "Outlier-weighed Layerwise Sampling for LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei …☆35Jun 3, 2025Updated 9 months ago
- Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)☆17Jun 2, 2023Updated 2 years ago
- Official implementation for LaCo (EMNLP 2024 Findings)☆21Oct 3, 2024Updated last year
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Jul 26, 2021Updated 4 years ago