Semanlink - NLP@Facebook AND Deep Learning

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NLP@Facebook AND Deep Learning

Common descendants

CamemBERT

15 Documents

Sentence Embedding Fine-tuning for the French Language | by La Javaness R&D | Feb, 2022 | Medium

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2022-03-31 About

Sahajtomar/french_semantic · Hugging Face

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2021-10-14 About

[1901.04085] Passage Re-ranking with BERT

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2021-03-26 About

Hugging Face sur Twitter : "Transformers release of the Retrieval-Augmented Generation model in collaboration with @facebookai!"

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2021-02-23 About

Guillaume Lample sur Twitter : "Last year, we showed that you can outperform a 24-layer transformer in language modeling with just...

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2020-10-10 About

[1911.03814] Scalable Zero-shot Entity Linking with Dense Entity Retrieval

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2020-05-02 About

Paris NLP Season 4 Meetup #3 – Paris NLP (2020)

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2020-01-23 About

[1911.00172] Generalization through Memorization: Nearest Neighbor Language Models

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2019-12-20 About

[1912.01412] Deep Learning for Symbolic Mathematics

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2019-12-09 About

[1905.11852] EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction

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2019-12-05 About

CamemBERT

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CamemBERT

2019-11-10 About

[1911.01464] Emerging Cross-lingual Structure in Pretrained Language Models

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2019-11-06 About

[1909.01066] Language Models as Knowledge Bases?

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2019-09-05 About

[1907.05242] Large Memory Layers with Product Keys

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> **a structured memory which can be easily integrated into a neural network.** The memory is very large by design and therefore significantly increases the capacity of the architecture, by up to a billion parameters with a negligible computational overhead. Its design and access pattern is based on **product keys**, which enable fast and exact nearest neighbor search. The ability to increase the number of parameters while keeping the same computational budget lets the overall system strike a better trade-off between prediction accuracy and computation efficiency both at training and test time.

> a key-value memory layer that can increase model capacity for a negligible computational cost. A 12-layer transformer with a memory outperforms a 24-layer transformer, and is 2x faster!

[Implementation](/doc/2019/08/product_key_memory_pkm_minima)

TODO: compare with [[2007.00849] Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge](doc:2020/07/2007_00849_facts_as_experts_)

2019-07-13 About

[1503.08895] End-To-End Memory Networks

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2018-10-23 About