paper: openalex:W3034340181
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| lom_id | doi | openalex | s2_paper_id | arxiv | pmid | pmcid | acl | title | year | venue | primary_field | primary_field_id | oa_url | ingested_ts | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| openalex:W3034340181 | W3034340181 | Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers | 2020 | International Conference on Machine Learning | Computer Science | https://openalex.org/fields/17 | http://proceedings.mlr.press/v119/li20m/li20m.pdf | 2026-09-02T02:37:09Z | openalex |