Linking pages
- Top minds in machine learning predict where AI is going in 2020 | VentureBeat https://venturebeat.com/2020/01/02/top-minds-in-machine-learning-predict-where-ai-is-going-in-2020/ 84 comments
- Uncovering Unknown Unknowns in Machine Learning – Google AI Blog https://ai.googleblog.com/2021/02/uncovering-unknown-unknowns-in-machine.html 20 comments
- More Efficient NLP Model Pre-training with ELECTRA – Google AI Blog https://ai.googleblog.com/2020/03/more-efficient-nlp-model-pre-training.html 12 comments
- GitHub - microsoft/nlp-recipes: Natural Language Processing Best Practices & Examples https://github.com/microsoft/nlp-recipes 5 comments
- Google Hopes AI Can Turn Search Into a Conversation | WIRED https://www.wired.com/story/google-hopes-ai-turn-search-conversation/ 3 comments
- GitHub - tuanlda78202/MLR: Machine Learning Research https://github.com/tuanlda78202/MLR 2 comments
- My big bet on the future of AI: Verbal parity https://philosophybear.substack.com/p/my-big-bet-on-the-future-of-ai-verbal 2 comments
- Using Transfer Learning for NLP with Small Data | by Manu Suryavansh | Insight https://blog.insightdatascience.com/using-transfer-learning-for-nlp-with-small-data-71e10baf99a6 0 comments
- GitHub - facebookresearch/XLM: PyTorch original implementation of Cross-lingual Language Model Pretraining. https://github.com/facebookresearch/XLM 0 comments
- Challenges in Few-shot learning; 2019 predictions; JAX; Explainable models; MT reading list; Foundations of ML; AI Index 2018; Karen Sparck Jones; Analysis methods survey; ICLR 2019 rejects | Revue http://newsletter.ruder.io/issues/challenges-in-few-shot-learning-2019-predictions-jax-explainable-models-mt-reading-list-foundations-of-ml-ai-index-2018-karen-sparck-jones-analysis-methods-survey-iclr-2019-rejects-151442 0 comments
- 2019 — Year of BERT and Transformer | by Manu Suryavansh | Towards Data Science https://towardsdatascience.com/2019-year-of-bert-and-transformer-f200b53d05b9?sk=77913662dd96ce5de77998341504902f&source=friends_link 0 comments
- China’s Baidu dethrones Google to take AI language crown | The Independent | The Independent https://www.independent.co.uk/life-style/gadgets-and-tech/news/ai-china-baidu-artificial-intelligence-google-a9261691.html 0 comments
- Finding Syntax with Structural Probes · John Hewitt https://nlp.stanford.edu/~johnhew/structural-probe.html 0 comments
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html 0 comments
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html?m=1 0 comments
- A Fair Comparison Study of XLNet and BERT with Large Models | by XLNet Team | Medium https://medium.com/@xlnet.team/a-fair-comparison-study-of-xlnet-and-bert-with-large-models-5a4257f59dc0 0 comments
- GitHub - TarrySingh/ERNIE: An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools) https://github.com/TarrySingh/ERNIE#ernie-20-a-continual-pre-training-framework-for-language-understanding 0 comments
- Massive Multi-Task Learning with Snorkel MeTaL: Bringing More Supervision to Bear · Stanford DAWN https://dawn.cs.stanford.edu/2019/03/22/glue/ 0 comments
- GitHub - microsoft/nlp-recipes: Natural Language Processing Best Practices & Examples https://github.com/microsoft/nlp 0 comments
- GitHub - lapolonio/machine-learning-for-nlp-guide: Guide for engineers interested in NLP machine learning https://github.com/lapolonio/machine-learning-for-nlp-guide 0 comments
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