ML Research Wiki / Benchmarks / Sparse Learning / ImageNet

ImageNet

Sparse Learning Benchmark

Performance Over Time

📊 Showing 9 results | 📏 Metric: Top-1 Accuracy

Top Performing Models

Rank Model Paper Top-1 Accuracy Date Code
1 Resnet-50: 80% Sparse Rigging the Lottery: Making All Tickets Winners 77.10 2019-11-25 📦 google-research/rigl 📦 verbose-avocado/rigl-torch 📦 nollied/rigl-torch
2 Resnet-50: 90% Sparse Rigging the Lottery: Making All Tickets Winners 76.40 2019-11-25 📦 google-research/rigl 📦 verbose-avocado/rigl-torch 📦 nollied/rigl-torch
3 Resnet-50: 80% Sparse 100 epochs Sparse Training via Boosting Pruning Plasticity with Neuroregeneration 76.00 2021-06-19 📦 vita-group/granet 📦 Shiweiliuiiiiiii/GraNet
4 Resnet-50: 80% Sparse 100 epochs Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training 75.84 2021-02-04 📦 Shiweiliuiiiiiii/In-Time-Over-Parameterization 📦 vita-group/granet 📦 Shiweiliuiiiiiii/GraNet 📦 stevenboys/agent
5 Resnet-50: 90% Sparse 100 epochs Sparse Training via Boosting Pruning Plasticity with Neuroregeneration 74.50 2021-06-19 📦 vita-group/granet 📦 Shiweiliuiiiiiii/GraNet
6 Resnet-50: 90% Sparse 100 epochs Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training 73.82 2021-02-04 📦 Shiweiliuiiiiiii/In-Time-Over-Parameterization 📦 vita-group/granet 📦 Shiweiliuiiiiiii/GraNet 📦 stevenboys/agent
7 MobileNet-v1: 75% Sparse Rigging the Lottery: Making All Tickets Winners 71.90 2019-11-25 📦 google-research/rigl 📦 verbose-avocado/rigl-torch 📦 nollied/rigl-torch
8 MobileNet-v1: 90% Sparse Rigging the Lottery: Making All Tickets Winners 68.10 2019-11-25 📦 google-research/rigl 📦 verbose-avocado/rigl-torch 📦 nollied/rigl-torch
9 SINDy Sparse learning of stochastic dynamic equations 6.00 2017-12-06 📦 dynamicslab/langevin-regression

All Papers (9)