IST-DASLab / WoodFisher
Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
☆49Updated 4 years ago
Alternatives and similar repositories for WoodFisher:
Users that are interested in WoodFisher are comparing it to the libraries listed below
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆103Updated 5 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- [ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang☆27Updated 2 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆89Updated 2 years ago
- Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection☆21Updated 4 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆30Updated last year
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆52Updated 3 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 4 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆44Updated 4 years ago
- ☆67Updated 4 years ago
- ☆70Updated 5 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Updated 3 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆56Updated 3 years ago
- Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks☆33Updated 2 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 last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 3 years ago
- ☆53Updated 6 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING☆30Updated 3 weeks ago
- ☆14Updated 4 years ago
- Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)☆64Updated 8 months ago
- ☆43Updated last year
- Encodings for neural architecture search☆29Updated 4 years ago
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆45Updated 2 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆38Updated 5 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 4 years ago
- Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…☆24Updated 2 years ago
- Generic Neural Architecture Search via Regression (NeurIPS'21 Spotlight)☆36Updated 2 years ago
- Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search☆27Updated 5 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
- PyTorch implementation of HashedNets☆36Updated last year