Previous issues

EMNLP 2020 & ICLR 2021, Toxicity detection, Data augmentation and adversarial examples

#54 Nov 13, 2020

ML and NLP starter toolkit, Low-resource NLP toolkit, "Can a LM understand natural language?", The next generation of NLP benchmarks

#53 Oct 13, 2020

Reviewing, Taking stock, Theme papers, Poisoning and stealing models, Multimodal generation

#52 Jun 5, 2020

#51

Apr 15, 2020

COVID-19 edition 😷 – Hi all,I hope you're all staying safe in these trying times. 🤒 This is a shorter version of the usual
#50

Mar 27, 2020

COVID-19, Hutter Prize, Compression = AGI?, BERT, Green AI – Hi all,This newsletter is a bit delayed due to some adjustments in light of the ongoing coronavirus p
#49

Feb 25, 2020

Accelerating science, memorizing vs learning to look things up, Schmidhuber's 2010s, Greek BERT, ARC, Illustrated Reformer, Annotated GPT-2, oLMpics – Hi all,This newsletter discusses accelerating science, memorizing vs learning to look things up, and
#48

Jan 27, 2020

NLP Progress, Restrospectives and look ahead, New NLP courses, Independent research initiatives, Interviews, Lots of resources – Happy 2020 everyone 🎉! May your models be sample-efficient, your generalisation error be low, and you
#47

Dec 23, 2019

2020 NLP wish lists, HuggingFace + fastai, NeurIPS 2019, GPT-2 things, Machine Learning Interviews – Happy holidays everyone! 🕯🎄🕎I hope you all had a fantastic year. The last newsletter of 2019 conclude
#46

Nov 19, 2019

Highlights of EMNLP 2019, Ethics in NLP vol. 2, AI and Journalism – Hi all,The themes of this newsletter are highlights from EMNLP 2019, ethical uses of NLP, and AI and
#45

Oct 22, 2019

Deep Learning Indaba, EurNLP, ML echo chamber, Pretrained LMs, Reproducibility papers – Hi all,This month features updates about recent events (ICLR 2020 submissions, Deep Learning Indaba,
#44

Sep 16, 2019

Experimental results and error reporting, Ethics and NLP, Distillation vol. 2, SemEval 2020 – Hi all,This edition is about better ways to report experimental results and model errors, ethics and
#43

Aug 21, 2019

Bigger vs. smaller models, powerful vs. dumb models – Hi all,The theme of this newsletter are juxtapositions: training ever bigger models (GPT-8 8B) vs. ma
#42

Jul 22, 2019

NLP in Industry, Leaderboard madness, fast.ai NLP, Transfer learning tools – Hi all,This month's newsletter covers some cool examples of how NLP is used in industry, some discuss
#41

Jun 24, 2019

BERT, GPT-2, XLNet, NAACL, ICML, arXiv, EurNLP – Hi all,A lot has been going on in the past month. This newsletter contains new stuff about BERT, GPT-
#40

May 20, 2019

Marvel, Stanford & CMU NLP Playlists, Voynich, Bitter Lesson Vol. 2, ICLR 2019, Dialogue Demos – Hi all,There should be something for everyone in this newsletter. NLP and superheroes team up. We hav
#39

Apr 15, 2019

The Bitter Lesson, How to Write X, ML Events in 2019 – Hi all,This newsletter’s spotlight topics are The Bitter Lesson, How to Write X guides, and ML events
#38

Mar 11, 2019

GPT-2, Sequence generation in arbitrary order – Hi all,This newsletter's spotlight topics are GPT-2, OpenAI's recent language model, and sequence gen
#37

Feb 11, 2019

BERT, Transfer learning for dialogue, Deep Learning SOTA 2019, Gaussian Processes, VI, NLP lesson curricula, fast.ai lessons, AlphaStar, How to manage research teams – Hi all,I hope you've had a good start into 2019! This newsletter covers a ton of material: slides fro
#36

Jan 14, 2019

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 – Happy 2019 everyone 🎉! May your losses decrease consistently, your models generalize to out-of-domain
#35

Dec 17, 2018

🎅 NeurIPS 2018; The nature of research; Advances in image generation, protein folding, and RL – Happy holiday season wherever you are based! 🎅⛄️🏖😎It's only been a month since the last newsletter, b

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