Triple
T7874743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam optimizer |
E182821
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
AdamW
AdamW is an optimization algorithm for training neural networks that decouples weight decay from the gradient-based parameter updates to improve generalization and training stability.
|
E182821
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca828a17248190b46defe758bc5ad3 |
elicitation | completed |
| NER | batch_69cb39a961188190b2f12f8fe5d66641 |
ner | completed |
| NED1 | batch_69cb5b79705c8190955e128081048ebe |
ned_source_triple | completed |
| NED2 | batch_69cbbfb894588190971ade076acdbd5c |
ned_description | completed |
| NEDg | batch_69cb7630b8908190a0b8f4856bceea0a |
nedg | completed |
Created at: March 30, 2026, 4:56 p.m.