3260 papers • 126 benchmarks • 313 datasets
Auxiliary learning aims to find or design auxiliary tasks which can improve the performance on one or some primary tasks. ( Image credit: Self-Supervised Generalisation with Meta Auxiliary Learning )
(Image credit: Papersgraph)
These leaderboards are used to track progress in auxiliary-learning-24
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Use these libraries to find auxiliary-learning-24 models and implementations
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Adding a benchmark result helps the community track progress.