huggingface/awesome-papers
Papers & presentations from Hugging Face's weekly science day
repo name | huggingface/awesome-papers |
repo link | https://github.com/huggingface/awesome-papers |
homepage | |
language | |
size (curr.) | 2362 kB |
stars (curr.) | 837 |
created | 2020-03-11 |
license | |
Awesome NLP Paper Discussions
Each week, the Hugging Face team has a science day where one team member presents an awesome NLP paper. We’ve decided to share this discussion with the community. See planned future discussions below.
Note: These science day discussions are held offline with no physical presentation or discussion to provide. However, some presentation materials do include limited comments from our team or summaries of internal discussions.
April 7, 2020
- Topic: Overview of recent work on: Indexing and Retrieval for Open Domain Question Answering
- Presenter: Yacine Jernite
- Discussion: Slides
March 24, 2020
- Paper: Scaling Laws for Neural Language Models
- Authors: Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei
- Presenter: Teven Le Scao
- Discussion: Google doc paper tutorial
March 17, 2020
- Paper: Representation Learning with Contrastive Predictive Coding
- Authors: Aaron van den Oord, Yazhe Li, Oriol Vinyals
- Presenter Patrick von Platen
- Discussion: Slides
March 10, 2020
- Paper: Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
- Authors: R. Thomas McCoy, Ellie Pavlick, Tal Linzen
- Presenter: Victor Sanh
- Discussion: Slides
March 3, 2020
- Paper: REALM: Retrieval-Augmented Language Model Pre-Training
- Authors: Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
- Presenter: Joe Davison
- Discussion: Write-up
February 25, 2020
- Paper: Adaptively Sparse Transformers
- Authors: Gonçalo M. Correia, Vlad Niculae, André F.T. Martins
- Presenter: Sasha Rush
- Discussion: Colab notebook
Planned Discussions
March 31, 2020
- Paper: Compositionality decomposed: how do neural networks generalise?
- Authors: Dieuwke Hupkes, Verna Dankers, Mathijs Mul, Elia Bruni
- Presenter: Thomas Wolf