yoshitomo-matsubara
/

bert-base-uncased-mnli_from_bert-large-uncased-mnli

Text Classification

Inference Endpoints

Model card Files Files and versions Community

yoshitomo-matsubara commited on Apr 19

Commit

7778e59

•

1 Parent(s): 02a59e6

Update README.md

Files changed (1) hide show

README.md +5 -3

README.md CHANGED Viewed

@@ -21,12 +21,14 @@ I submitted prediction files to [the GLUE leaderboard](https://gluebenchmark.com
 Yoshitomo Matsubara: **"torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP"** at *EMNLP 2023 Workshop for Natural Language Processing Open Source Software (NLP-OSS)*
-[[OpenReview](https://openreview.net/forum?id=A5Axeeu1Bo)] [[Preprint](https://arxiv.org/abs/2310.17644)]
 ```bibtex
-@article{matsubara2023torchdistill,
   title={{torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP}},
   author={Matsubara, Yoshitomo},
-  journal={arXiv preprint arXiv:2310.17644},
   year={2023}
 }
 ```

 Yoshitomo Matsubara: **"torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP"** at *EMNLP 2023 Workshop for Natural Language Processing Open Source Software (NLP-OSS)*
+[[Paper](https://aclanthology.org/2023.nlposs-1.18/)] [[OpenReview](https://openreview.net/forum?id=A5Axeeu1Bo)] [[Preprint](https://arxiv.org/abs/2310.17644)]
 ```bibtex
+@inproceedings{matsubara2023torchdistill,
   title={{torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP}},
   author={Matsubara, Yoshitomo},
+  booktitle={Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)},
+  publisher={Empirical Methods in Natural Language Processing},
+  pages={153--164},
   year={2023}
 }
 ```