Top Tweets for #paperwithcode
KAT🐱 is on the trending list of paperwithcode! Do not hesitate to have a try on our code, and see if it can benefit your own task! 🍻
#KAN #Transformers #paperwithcode
https://t.co/s0k20bSboV
#PaperWithCode on optimal allocation to cryptocurrencies using 4 quant methods for alt & balanced mandates with their universes including $BTC & $ETH
Median allocation weight to crypto is 3.4%
https://t.co/mk31idKQbQ
Analysis with #Python OptimalPortfolios https://t.co/Mi7uTJtduQ
#PaperWithCode
https://t.co/mpudiOoAEO
Log-Normal Stochastic Volatility Model with Quadratic Drift by Artur Sepp & Parviz Rakhmonov. Read the full articles at https://t.co/U7XGPt9xfh.
In this paper, the authors introduce the log-normal stochastic volatility (SV) model with a quadratic drift to allow arbitrage-free valuation of options on assets under money-market account and inverse martingale measures.
#bitcoin #ethereum #nonaffinemodels #momentgeneratingfunction #cryptocurrencyderivatives #quadraticvariance #IJTAF
Check out our recent #paperwithcode, led by @DimityMiller, published as #IEEE RA-L paper and will be presented at IEEE #IROS2022 in next month in #Kyoto Japan.
paper: https://t.co/xQTxVWso6g
Github: https://t.co/WyybDlWeCD
Check me at booth 41 for this #paperwithcode
🥳 Year-long efforts of bioactivity data sanitisation and standardisation with @BongersBrandon and @GJPvWesten turned into a preprint: https://t.co/Mf1F49k4pz
~60M activities, 7k proteins and >1.25M compounds
#paperwithcode #preprint #bioactivity #machinelearning #cheminfo
The pre-print and code of our #ACL2021 paper titled: "Subsequence Based Deep Active Learning for Named Entity Recognition" are now available here: https://t.co/wvuijK1FBW and here:
https://t.co/nBozKDfRV4
#nlp #activelearning #paperwithcode
1/2 Our code for “A context-Aware Loss Function for Action Spotting in Soccer Videos”, to be presented at #CVPR2020, is now available on GitHub: https://t.co/c9V9gdkfuu.
Let’s all aim towards more #reproducibility in research! #DeepLearning #AI #ComputerVision #paperWithCode
We're releasing code for a new approach to generating recipes directly from food images. This produces more compelling recipes than retrieval-based approaches and improves performance with respect to previous baselines for ingredient prediction. #CVPR2019 https://t.co/H6Kg3Sm4xi
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