Triple
T15361413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ResNeXt |
E367297
|
entity |
| Predicate | introducedInPaper |
P513
|
FINISHED |
| Object |
Aggregated Residual Transformations for Deep Neural Networks
"Aggregated Residual Transformations for Deep Neural Networks" is the research paper that introduced the ResNeXt architecture, a deep convolutional neural network design that improves accuracy and efficiency by using grouped convolutions and aggregated residual transformations.
|
E1153672
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d85a1483788190ad93c2748e8af34b |
elicitation | completed |
| NER | batch_69e03e4607408190ab281a7f7a8012d3 |
ner | completed |
| NED1 | batch_69ff0b4a181c8190bffc1ac1a86e215d |
ned_source_triple | completed |
| NED2 | batch_69ff0fd586708190a54b33efd27d84b2 |
ned_description | completed |
| NEDg | batch_69ff0f82441c81909a8ae13817fd3e96 |
nedg | completed |
Created at: April 10, 2026, 3:18 a.m.