Model card
SciNCL.
UnknownunknownUnknown paramsUnknown1 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark SciNCL has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scidocs-(mesh) | Computer Vision · Optical Character Recognition | f1-micro | 88.7% | #1 | 2022-02-14 | source ↗ |
| 02 | scidocs-(mag) | Computer Vision · Optical Character Recognition | f1-micro | 81.4% | #2 | 2022-02-14 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where SciNCL actually performs.
§ 04 · Papers
1 paper with results for SciNCL.
- 2022-02-14· Computer Vision· 2 results
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified.