[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
☆59Oct 10, 2023Updated 2 years ago
Alternatives and similar repositories for Awesome-Pruning-at-Initialization
Users that are interested in Awesome-Pruning-at-Initialization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A generic code base for neural network pruning, especially for pruning at initialization.☆32Sep 3, 2022Updated 4 years ago
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Sep 9, 2025Updated 11 months ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 4 years ago
- ☆20Nov 27, 2022Updated 3 years ago
- [ICLR'23] Trainability Preserving Neural Pruning (PyTorch)☆34May 21, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆33Mar 9, 2022Updated 4 years ago
- [ICLR 2023] "Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!" Shiwei Liu, Tianlong Chen, Zhenyu Zhang, Xuxi Chen…☆28Aug 29, 2023Updated 3 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Jun 23, 2020Updated 6 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Dec 15, 2022Updated 3 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Feb 11, 2023Updated 3 years ago
- AFNet(NeurIPS 2022)☆20Nov 24, 2022Updated 3 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆40Mar 20, 2022Updated 4 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆43Nov 8, 2020Updated 5 years ago
- [TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.☆39Dec 26, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆106Feb 18, 2020Updated 6 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Feb 15, 2023Updated 3 years ago
- pytorch implementation of Structured Bayesian Pruning☆19Jul 13, 2018Updated 8 years ago
- ☆12Feb 23, 2022Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆21Jun 27, 2021Updated 5 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆61Jul 6, 2026Updated 2 months ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Jul 24, 2022Updated 4 years ago
- ☆30Jul 22, 2024Updated 2 years ago
- HW accelerator mapping optimization framework for in-memory computing☆30Jun 3, 2025Updated last year
- AI Agents on 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.
- TF-FD☆21Nov 19, 2022Updated 3 years ago
- [NeurIPS 2023] Latent Graph Inference with Limited Supervision☆33Feb 1, 2024Updated 2 years ago
- This is a collection of awesome papers I have read (carefully or roughly) in the fields of computer vision, machine learning, pattern rec…☆31Aug 8, 2024Updated 2 years ago
- A curated list of neural network pruning resources.☆2,498Apr 4, 2024Updated 2 years ago
- Recent Advances on Efficient Vision Transformers☆55Jan 11, 2023Updated 3 years ago
- Hyperparameter search and metric visualization tool for personal research.☆18Apr 19, 2026Updated 4 months ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆437Jul 7, 2023Updated 3 years ago
- Lottery Tickets in Evolutionary Optimization (Lange & Sprekeler, ICML 2023)☆17Jun 2, 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 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ACL 2025] Cautious Next Token Prediction☆16Jul 24, 2025Updated last year
- ☆309Aug 20, 2024Updated 2 years ago
- [ICML 2023] MTPD: Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation☆16Sep 12, 2023Updated 2 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 6 years ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆25Mar 26, 2025Updated last year
- [ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang☆26Dec 30, 2021Updated 4 years ago
- ☆15Dec 7, 2021Updated 4 years ago