Favoris ; AI girls and guys AND Slides
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20 Documents
How many Labelled Examples do you need for a BERT-sized Model to Beat GPT-4 on Predictive Tasks? - Speaker Deck
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2023-10-27 About
Jerry Liu sur Twitter : "Some critical data considerations that you must take into account to make your LLM application production-ready"
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2023-07-23 About
Domain Adaptation for Dense Retrieval Models - Nils Reimers - ICML 2022 Workshop on Knowledge Retrieval and Language Models
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2022-09-02 About
Nils Reimers - slides & recordings of my invited talks
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2022-09-02 About
The Natural Language Decathlon: Multitask Learning as Question Answering (slides)
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2021-01-26 About
Extraction de relation via la validation de relation
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2019-12-03 About
TEXTUAL REPRESENTATION LEARNING DRIVEN BY KNOWLEDGE RESOURCES: APPLICATION TO INFORMATION RETRIEVAL
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2019-10-21 About
Neural Models for Information Retrieval (2017)
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2019-08-18 About
Neural Transfer Learning for Natural Language Processing - Seb Ruder PhD Thesis
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2019-02-27 About
Monolingual data in NMT
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2018-12-04 About
Trying to Understand Recurrent Neural Networks for Language Processing (slides)
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2018-11-11 About
Frontiers of Natural Language Processing (Deep Learning Indaba 2018, Stellenbosch, South Africa)
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2018-11-10 About
Teaching Machines to Understand Natural Language (2018)
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2018-10-26 About
Towards bridging the gap between deep learning and brains
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2018-10-23 About
Unsupervised Machine Translation. G. Lample (slides)
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2018-09-29 About
Representations for Language: From Word Embeddings to Sentence Meanings (2017) - Slides
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2018-08-28 About
Deep learning : background and application to natural language processing
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2018-07-07 About
talks/2018-04-12__Embed-Encode-Attend-Predict.pdf at master · explosion/talks · GitHub
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2018-04-12 About
Word Meaning and Similarity - Stanford University
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2017-07-20 About
Distributed Semantics & Embeddings
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2017-07-10 About