Shiweiliuiiiiiii / Sparse_Topology_DistanceLinks
[ECMLPKDD 2020] "Topological Insights into Sparse Neural Networks"
☆13Updated 3 years ago
Alternatives and similar repositories for Sparse_Topology_Distance
Users that are interested in Sparse_Topology_Distance are comparing it to the libraries listed below
Sorting:
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 5 years ago
- ☆18Updated 6 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆30Updated 3 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆25Updated 3 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated last year
- Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch☆17Updated last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Updated 3 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- ☆14Updated 4 years ago
- Code for "Online Learned Continual Compression with Adaptive Quantization Modules"☆27Updated 5 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 3 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆21Updated 11 months ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…☆45Updated 2 years ago
- [IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.☆59Updated 2 years ago
- [ACL'22] Training-free Neural Architecture Search for RNNs and Transformers☆13Updated last year
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 4 years ago
- Offical Repo for Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks. Accepted by Neurips 2020.☆34Updated 5 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Updated 5 years ago
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆31Updated 5 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20Updated 2 years ago
- [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, X…☆50Updated 4 years ago
- ☆26Updated 3 years ago
- ☆29Updated last year
- Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020☆29Updated 3 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- Official codebase for our paper "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"☆12Updated 4 years ago