Triple
T12207454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasserstein GAN |
E290870
|
entity |
| Predicate | inspiredFollowUpModel |
P63928
|
FINISHED |
| Object |
WGAN-GP
WGAN-GP is an improved variant of the Wasserstein GAN that stabilizes training by enforcing a gradient penalty instead of weight clipping to better satisfy the Lipschitz constraint.
|
E290870
|
NE FINISHED |
Provenance (6 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6ab65923081909acfc61b7a612233 |
elicitation | completed |
| NER | batch_69d920e312708190b4aede2e21f5f697 |
ner | completed |
| NED1 | batch_69f62a8c69308190bffae7b38cc5620b |
ned_source_triple | completed |
| NED2 | batch_69f62c8194d881909db3d320a21f2052 |
ned_description | completed |
| NEDg | batch_69f62be354a88190aaf5e8439b33120b |
nedg | completed |
| PD | batch_69d91c3d669c81908eea7ad61122d275 |
pd | completed |
Created at: April 8, 2026, 9:51 p.m.