January 2019 - Bag of Tricks in Machine Learning

CV papers

January 31, 2019 by admin

https://github.com/hoya012/deep_learning_object_detection

Ground truth?

January 31, 2019 by admin

If you want to question whether human-produced labels for training ML models represent "ground truth," look no further than the sheer volume of misclassifications in a pair of recycling/trash bins.
— Sean J. Taylor (@seanjtaylor) January 29, 2019

To read more books and less paper

January 27, 2019 by admin

CMU 10-708 PGM by Eric Xing

January 27, 2019 by admin

https://www.youtube.com/channel/UCim-E6bNz7lUyKZwhgN6S1A/videos

How to Structuring Python Project

January 27, 2019 by admin

https://docs.python-guide.org/writing/structure/

Fast ai course v3

January 26, 2019 by admin

https://course.fast.ai/

Natural Questions Corpus (Google AI)

January 25, 2019 by admin

https://ai.googleblog.com/2019/01/natural-questions-new-corpus-and.html

在文本分类任务中，有哪些论文中很少提及却对性能有重要影响的tricks？

January 24, 2019 by admin

https://www.zhihu.com/question/265357659

把Cross Entropy梯度分布拉‘平’ – AAAI 2019 Oral

January 23, 2019 by admin

AAAI 2019 Oral | 把Cross Entropy梯度分布拉‘平’，就能轻松超越Focal Loss
https://www.jiqizhixin.com/articles/2019-01-17-30

Kaggle Mercari Price Suggestion Challenge (1 place) — Pawel Jankiewicz, Konstantin Lopuhin

January 22, 2019 by admin

ShujianFollow

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Zexuan Zhong @ZexuanZhong·

Dense retrieval models (e.g. DPR) achieve SOTA on various datasets. Does this really mean dense models are better than sparse models (e.g. BM25)?
No! Our #EMNLP2021 paper shows dense retrievers even fail to answer simple entity-centric questions.

https://arxiv.org/abs/2109.08535 (1/6)

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Florian Mai 🇪🇺@_florianmai·

Did Google just casually train a 137B parameter LM to basically solve text style transfer (very close to human performance) for any style (the model accepts arbitrary target styles) through an awfully simple method and described all of that in 4 pages? WTF
http://arxiv.org/abs/2109.03910

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Dmitry Kan @DmitryKan·

I just published Milvus, Pinecone, Vespa, Weaviate, Vald, GSI: what unites these buzz words and what makes each stand out https://link.medium.com/a2ouMMXx1jb

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Shujian @Shujian_Liu·

Search On '21 in under 7 minutes https://youtu.be/LqAzpJthtIY via @YouTube

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Even Oldridge @Even_Oldridge·

Incredibly excited and proud to share work by the @nvidiaai Merlin team at #RecSys2021. We introduce an open source library which wraps @huggingface transformers library and makes it accessible for session-based RecSys. Our blog has all the details: https://medium.com/nvidia-merlin/transformers4rec-4523cc7d8fa8

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