varungohil / Generalizing-Lottery-TicketsLinks
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
☆51Updated last year
Alternatives and similar repositories for Generalizing-Lottery-Tickets
Users that are interested in Generalizing-Lottery-Tickets are comparing it to the libraries listed below
Sorting:
- Lookahead: A Far-sighted Alternative of Magnitude-based Pruning (ICLR 2020)☆33Updated 4 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆106Updated 5 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- ☆144Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Updated 6 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Compressing Neural Networks using the Variational Information Bottleneck☆66Updated 3 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- ☆39Updated 5 years ago
- ☆70Updated 5 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 3 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Updated 4 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 4 years ago
- ☆59Updated 2 years ago
- Single shot neural network pruning before training the model, based on connection sensitivity☆11Updated 6 years ago
- Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)☆137Updated 5 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆39Updated 7 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 7 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Code base for SRSGD.☆29Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆277Updated 2 years ago