3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
These leaderboards are used to track progress in ticket-search-1
No benchmarks available.
Use these libraries to find ticket-search-1 models and implementations
No datasets available.
No subtasks available.
Continuous Sparsification is proposed, a new algorithm to search for winning tickets which continuously removes parameters from a network during training, and learns the sub-network's structure with gradient-based methods instead of relying on pruning strategies.
Adding a benchmark result helps the community track progress.