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by kchonyc on 2021-10-14 (UTC).

ML can help us build a black box system, but can also help us analyze a black box system. @LeonYin went above & beyond to use RF to analyze Amazon's product ranking system.

insightful! https://t.co/N6BFzhlxgo

— Kyunghyun Cho (@kchonyc) October 14, 2021
researchmisc
by ak92501 on 2021-10-14 (UTC).

ByteTrack: Multi-Object Tracking by Associating Every Detection Box
abs: https://t.co/x2es6mhWh4
github: https://t.co/AuNaKamE9s@XinggangWang pic.twitter.com/dsVm5TzVb0

— AK (@ak92501) October 14, 2021
researchcvw_code
by ak92501 on 2021-10-14 (UTC).

Dict-BERT: Enhancing Language Model Pre-training with Dictionary
abs: https://t.co/VB3gOgRRii pic.twitter.com/KbU8FxHHeZ

— AK (@ak92501) October 14, 2021
researchnlp
by ak92501 on 2021-10-14 (UTC).

Object-Region Video Transformers
abs: https://t.co/X0dS3HSYaT
project page: https://t.co/yDAErxp4zE

an object-centric approach that extends video transformer layers with a block that directly incorporates object representations pic.twitter.com/b7ozNo7I0B

— AK (@ak92501) October 14, 2021
researchcv
by ak92501 on 2021-10-14 (UTC).

Dynamic Inference with Neural Interpreters
abs: https://t.co/GoZJdmPn0K pic.twitter.com/NOMj7y1QMV

— AK (@ak92501) October 14, 2021
researchnlp
by GoogleAI on 2021-10-13 (UTC).

Medical image classification models often pre-train on natural image datasets. Today, we present alternative approaches that use additional pre-training on medical images, along with metadata-based data augmentation, to significantly improve performance. https://t.co/DHy0XojZwm

— Google AI (@GoogleAI) October 13, 2021
researchcv
by ak92501 on 2021-10-13 (UTC).

Data-free Knowledge Distillation for Object Detection
pdf: https://t.co/y6ZqK9jenm
github: https://t.co/ncFsFtIsTX pic.twitter.com/e7OwRU9F7C

— AK (@ak92501) October 13, 2021
researchcvw_code
by ak92501 on 2021-10-13 (UTC).

Distilling Image Classifiers in Object Detectors
abs: https://t.co/yVJW5hQOk5
github: https://t.co/8JVvrROA1f pic.twitter.com/9iSqm17Upo

— AK (@ak92501) October 13, 2021
researchcv
by GaelVaroquaux on 2021-10-13 (UTC).

New release of dirty_cat ✨: machine learning on dirty categories

The big deal: the SuperVectorizer: easily ingest a (possibly dirty) pandas dataframe in a machine-learning pipeline 🤟https://t.co/mljxVwtnzG

Painless data science directly on the dataframe#pydata pic.twitter.com/m0eM8KjiUE

— Gael Varoquaux (@GaelVaroquaux) October 13, 2021
tool
by simongerman600 on 2021-10-13 (UTC).

Average monthly rent for a one-room apartment in the center of the capital city across Europe. An hour east of Vienna, Bratislava offers decent savings but two hours to the east Budapest is way cheaper. Istanbul is even cheaper though... Source: https://t.co/3RFn2dfCsf pic.twitter.com/dLUhUq36ec

— Simon Kuestenmacher (@simongerman600) October 13, 2021
dataviz
by randal_olson on 2021-10-13 (UTC).

Russian elections once again had a suspiciously neat result. Are we surprised? #dataviz

Source: https://t.co/IyEnClXKRd pic.twitter.com/0LUtDTGY2c

— Randy Olson (@randal_olson) October 13, 2021
dataviz
by ak92501 on 2021-10-13 (UTC).

TAda! Temporally-Adaptive Convolutions for Video Understanding
abs: https://t.co/uv6Jqnu580 pic.twitter.com/Suh5Te7P67

— AK (@ak92501) October 13, 2021
researchcv
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