Datasets › F-CelebA (10 tasks)
F-CelebA (10 tasks) (Federated-CelebA (10 tasks))
F-CelebA - This dataset is adapted from federated learning. Federated learning is an emerging machine learning paradigm with an emphasis on data privacy. The idea is to train through model aggregation rather than conventional data aggregation and keep local data staying on the local device. This dataset naturally consists of similar tasks and each of the 10 tasks contains images of a celebrity labeled by whether he/she is smiling or not. More detailed please check page https://github.com/ZixuanKe/CAT
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Continual Learning | F-CelebA (10 tasks) | CAT (CNN backbone) Acc 0.7564 | Continual Learning of a Mixed Sequence of Similar and... | zixuanke/pycontinual +1 | 7 | Compare |
Papers archive 2025-07-28
6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks | 2 | 2 | 18 Dec 2021 | not harvested |
| Random Path Selection for Continual Learning | 1 | 1 | 1 Dec 2019 | not harvested |
| Continual learning with hypernetworks | 9 | 1 | 3 Jun 2019 | ran 1 of 1 samples (0 unverified; 1 pointer-only for licence) |
| Overcoming catastrophic forgetting with hard attention to the task | 2 | 1 | 4 Jan 2018 | not harvested |
| PathNet: Evolution Channels Gradient Descent in Super Neural Networks | 1 | 1 | 30 Jan 2017 | ran 0 of 2 samples (2 unverified) |
| Overcoming catastrophic forgetting in neural networks | 29 | 1 | 2 Dec 2016 | ran 14 of 22 samples (8 unverified; 4 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
Variants archive 2025-07-28
- F-CelebA (10 tasks)
1 variant name, as the archive lists them.
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