Thomas Wolf
where else to find them
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 5 in the filters
on a stage with
- Braden Hancockonce
- Maksym Bevzaonce
- Stuart Horneronce
all 4 in the filters
who talks about the same things
- Malte Pietsch4 talks
- Ortal Ashkenazi3 talks
- Vitaliy Radchenko2 talks
- Merve Noyan11 talks
- Martin Gorner14 talks
- Bowen Peng2 talks
| title | conference | date |
|---|---|---|
| A Journey to Building a Server Driven UI Framework | droidcon New York 2022 | 2022-09-01 |
SiriusXM and Pandora build a server-driven UI to unify duplicated stacks and serve 150 million listeners across mobile, TV and embedded automotive head units… | ||
| An Introduction to Transfer Learning in NLP and HuggingFace | ML Conf EU 2020 | 2020-11-05 |
Survey of how large pretrained transformer models (BERT/GPT/RoBERTa/T5 and distilled variants) use sequential transfer learning: large-scale self‑supervised… | ||
| Easy Access to SOTA NLP Models with Ray and Hugging Face | Ray Summit 2020 | 2020-09-30 |
Hugging Face demonstrates running pretrained Transformers with the Tokenizers and Datasets libraries plus Ray Tune hyperparameter search to fine‑tune on GLUE… | ||
| An Introduction to Transfer Learning and Hugging Face | Data Science fwdays'20 online | 2020-08-08 |
Recent NLP breakthroughs are tied to pretraining on large corpora with Transformer architectures and then adapting them; Hugging Face supplies the actual… | ||
| The democratization discussion of NLP and what it means for the industry | Data Science fwdays'20 online | 2020-08-08 |
Panel reports that democratization is concrete: the Hugging Face transformers hub puts pretrained models and code into three lines of use, an API for hosted… | ||
| Transfer learning in NLP | Data Science fwdays'19 | 2019-09-07 |
Transfer learning uses large pretraining plus fast fine‑tuning and delivers state‑of‑the‑art gains: masked language modeling and autoregressive LM objectives… | ||
| Panel discussion "NLP" | Data Science fwdays'19 | 2019-09-07 |
Panelists report concrete moves: pretrained transformers (BERT, ELMo) drive big gains, HuggingFace’s Transformers library ships models used in benchmarks… | ||
| nothing matches | ||