Awesome NLP Paper Discussions
The Hugging Face team believes that we can reach our goals in NLP by building powerful open source tools and by conducting impactful research. Our team has begun holding regular internal discussions about awesome papers and research areas in NLP. In the spirit of open science, we've decided to share these discussion materials with the community.
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.
See planned future discussions below.
May 18, 2020
- Paper: Movement Pruning: Adaptive Sparsity by Fine-Tuning
- Authors: Victor Sanh, Thomas Wolf, Alexander M. Rush
- Presenter: Victor Sanh
- Discussion: Slideshare
May 5, 2020
- Paper: Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
- Authors: Sachin Kumar, Yulia Tsvetkov
- Presenter: Victor Sanh
- Discussion: Colab notebook
April 22, 2020
- Topic: Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions
- Presenter: Thomas Wolf
- Discussion: Video
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
Nothing planned for the moment, check back soon!