A Commit History of BERT and its Forks
I recently came across an interesting thread on Twitter discussing a hypothetical scenario where research papers are published on GitHub and subsequent papers are diffs over the original paper. Information overload has been a real problem in ML with so many new papers coming every month.
If you could represent a paper as a code diff, many papers could be compressed down to <50 lines :) The diff would also be more intuitive to read and eval standardized.
— Denny Britz (@dennybritz) April 25, 2020
Some ideas are so different that this wouldn’t apply, but I think it would work well for the majority. https://t.co/JoAcIK9Cm7
This post is a fun experiment showcasing how the commit history could look like for the BERT paper and some of its subsequent variants.
commit arXiv:1810.04805
Author: Devlin et al.
Date: Thu Oct 11 00:50:01 2018 +0000
Initial Commit: BERT
-Transformer Decoder
+Masked Language Modeling
+Next Sentence Prediction
+WordPiece 30K
commit arXiv:1901.07291
Author: Lample et al.
Date: Tue Jan 22 13:22:34 2019 +0000
Cross-lingual Language Model Pretraining
+Translation Language Modeling(TLM)
+Causal Language Modeling(CLM)
commit arXiv:1901.08746
Author: Lee et al.
Date: Fri Jan 25 05:57:24 2019 +0000
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
+PubMed Abstracts data
+PubMed Central Full Texts data
commit arXiv:1901.11504
Author: Liu et al.
Date: Thu Jan 31 18:07:25 2019 +0000
Multi-Task Deep Neural Networks for Natural Language Understanding
+Multi-task Learning
commit arXiv:1903.10676
Author: Beltagy et al.
Date: Tue Mar 26 05:11:46 2019 +0000
SciBERT: A Pretrained Language Model for Scientific Text
-BERT WordPiece Vocabulary
-English Wikipedia
-BookCorpus
+1.14M Semantic Scholar Papers(Biomedial + Computer Science)
+ScispaCy segmentation
+SciVOCAB WordPiece Vocabulary
commit arXiv:1906.08237
Author: Yang et al.
Date: Wed Jun 19 17:35:48 2019 +0000
XLNet: Generalized Autoregressive Pretraining for Language Understanding
-Masked Language Modeling
-BERT Transformer
+Permutation Language Modeling
+Transformer-XL
+Two-stream self-attention
+SentencePiece Tokenizer
commit arXiv:1907.10529
Author: Joshi et al.
Date: Wed Jul 24 15:43:40 2019 +0000
SpanBERT: Improving Pre-training by Representing and Predicting Spans
-Random Token Masking
-Next Sentence Prediction
-Bi-sequence Training
+Continuous Span Masking
+Span-Boundary Objective(SBO)
+Single-Sequence Training
commit arXiv:1907.11692
Author: Liu et al.
Date: Fri Jul 26 17:48:29 2019 +0000
RoBERTa: A Robustly Optimized BERT Pretraining Approach
-Next Sentence Prediction
-Static Masking of Tokens
+Dynamic Masking of Tokens
+Byte Pair Encoding(BPE) 50K
+Large batch size
+CC-NEWS(76G) dataset
+OpenWebText(38G) dataset
+Stories(31G) dataset
commit arXiv:1908.10084
Author: Reimers et al.
Date: Tue Aug 27 08:50:17 2019 +0000
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
+Siamese Network Structure
+Finetuning on SNLI and MNLI
commit arXiv:1909.11942
Author: Lan et al.
Date: Thu Sep 26 07:06:13 2019 +0000
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
-Next Sentence Prediction
+Sentence Order Prediction
+Cross-layer Parameter Sharing
+Factorized Embeddings
+SentencePiece Tokenizer
commit arXiv:1910.01108
Author: Sanh et al.
Date: Wed Oct 2 17:56:28 2019 +0000
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
-Next Sentence Prediction
-Token-Type Embeddings
-[CLS] pooling
+Knowledge Distillation
+Cosine Embedding Loss
+Dynamic Masking
commit arXiv:1911.03894
Author: Martin et al.
Date: Sun Nov 10 10:46:37 2019 +0000
CamemBERT: a Tasty French Language Model
-BERT
-English
+ROBERTA
+French OSCAR dataset(138GB)
+Whole-word Masking(WWM)
+SentencePiece Tokenizer
commit arXiv:1912.05372
Author: Le et al.
Date: Wed Dec 11 14:59:32 2019 +0000
FlauBERT: Unsupervised Language Model Pre-training for French
-BERT
-English
+ROBERTA
+fastBPE
+Stochastic Depth
+French dataset(71GB)
+FLUE(French Language Understanding Evaluation) benchmark
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