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ledger: extract arXiv cs.LG recent top-10 (csv + md)

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wizard-work/ledger/SOURCE.md
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extraction method: arXiv API (https://export.arxiv.org/api/query) cat:cs.LG top-10.
query: search_query=cat:cs.LG&start=0&max_results=10, HTTP 200, 22889 bytes.
columns: arxiv_id, title, authors, published, summary.
source_url: https://export.arxiv.org/api/query?search_query=cat:cs.LG&start=0&max_results=10
rows: 10
wizard-work/ledger/arxiv_recent_cslg.csv
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arxiv_id,title,authors,published,summary
2012.12056v1,Data Assimilation in the Latent Space of a Neural Network,Maddalena Amendola; Rossella Arcucci; Laetitia Mottet; Cesar Quilodran Casas; Shiwei Fan; Christopher Pain; Paul Linden; Yi-Ke Guo,2020-12-22T14:43:50Z,"There is an urgent need to build models to tackle Indoor Air Quality issue. Since the model should be accurate and fast,"
2012.11638v1,Unsupervised in-distribution anomaly detection of new physics through conditional density estimation,George Stein; Uros Seljak; Biwei Dai,2020-12-21T19:05:22Z,"Anomaly detection is a key application of machine learning, but is generally focused on the detection of outlying sample"
2012.11510v1,Design Rule Checking with a CNN Based Feature Extractor,Luis Francisco; Tanmay Lagare; Arpit Jain; Somal Chaudhary; Madhura Kulkarni; Divya Sardana; W. Rhett Davis; Paul Franzon,2020-12-21T17:26:31Z,Design rule checking (DRC) is getting increasingly complex in advanced nodes technologies. It would be highly desirable
2012.11400v2,Unifying Homophily and Heterophily Network Transformation via Motifs,Yan Ge; Jun Ma; Li Zhang; Haiping Lu,2020-12-21T15:03:18Z,Higher-order proximity (HOP) is fundamental for most network embedding methods due to its significant effects on the qua
2012.10056v1,Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices,Karthik Bhat; Manan Bhandari; ChangSeok Oh; Sujin Kim; Jeeho Yoo,2020-12-18T05:38:58Z,"With the enhancement of Machine Learning, many tools are being designed to assist developers to easily create their Mach"
2012.10040v1,Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals,Zhao Wang; Aron Culotta,2020-12-18T03:57:32Z,Spurious correlations threaten the validity of statistical classifiers. While model accuracy may appear high when the te
2012.11325v1,Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach,MohammadNoor Injadat; Abdallah Moubayed; Abdallah Shami,2020-12-16T16:39:55Z,The increased reliance on the Internet and the corresponding surge in connectivity demand has led to a significant growt
2012.11327v1,Collaborative residual learners for automatic icd10 prediction using prescribed medications,Yassien Shaalan; Alexander Dokumentov; Piyapong Khumrin; Krit Khwanngern; Anawat Wisetborisu; Thanakom Hatsadeang; Nattapat Karaket; Witthawin Achariyaviriya; Sansanee Auephanwiriyakul; Nipon Theera-Umpon; Terence Siganakis,2020-12-16T07:07:27Z,Clinical coding is an administrative process that involves the translation of diagnostic data from episodes of care into
2012.11333v1,Ensemble model for pre-discharge icd10 coding prediction,Yassien Shaalan; Alexander Dokumentov; Piyapong Khumrin; Krit Khwanngern; Anawat Wisetborisu; Thanakom Hatsadeang; Nattapat Karaket; Witthawin Achariyaviriya; Sansanee Auephanwiriyakul; Nipon Theera-Umpon; Terence Siganakis,2020-12-16T07:02:56Z,"The translation of medical diagnosis to clinical coding has wide range of applications in billing, aetiology analysis, a"
2012.11337v1,Single-level Optimization For Differential Architecture Search,Pengfei Hou; Ying Jin,2020-12-15T18:40:33Z,"In this paper, we point out that differential architecture search (DARTS) makes gradient of architecture parameters bias"
1 arxiv_id title authors published summary
2 2012.12056v1 Data Assimilation in the Latent Space of a Neural Network Maddalena Amendola; Rossella Arcucci; Laetitia Mottet; Cesar Quilodran Casas; Shiwei Fan; Christopher Pain; Paul Linden; Yi-Ke Guo 2020-12-22T14:43:50Z There is an urgent need to build models to tackle Indoor Air Quality issue. Since the model should be accurate and fast,
3 2012.11638v1 Unsupervised in-distribution anomaly detection of new physics through conditional density estimation George Stein; Uros Seljak; Biwei Dai 2020-12-21T19:05:22Z Anomaly detection is a key application of machine learning, but is generally focused on the detection of outlying sample
4 2012.11510v1 Design Rule Checking with a CNN Based Feature Extractor Luis Francisco; Tanmay Lagare; Arpit Jain; Somal Chaudhary; Madhura Kulkarni; Divya Sardana; W. Rhett Davis; Paul Franzon 2020-12-21T17:26:31Z Design rule checking (DRC) is getting increasingly complex in advanced nodes technologies. It would be highly desirable
5 2012.11400v2 Unifying Homophily and Heterophily Network Transformation via Motifs Yan Ge; Jun Ma; Li Zhang; Haiping Lu 2020-12-21T15:03:18Z Higher-order proximity (HOP) is fundamental for most network embedding methods due to its significant effects on the qua
6 2012.10056v1 Transfer Learning Based Automatic Model Creation Tool For Resource Constraint Devices Karthik Bhat; Manan Bhandari; ChangSeok Oh; Sujin Kim; Jeeho Yoo 2020-12-18T05:38:58Z With the enhancement of Machine Learning, many tools are being designed to assist developers to easily create their Mach
7 2012.10040v1 Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals Zhao Wang; Aron Culotta 2020-12-18T03:57:32Z Spurious correlations threaten the validity of statistical classifiers. While model accuracy may appear high when the te
8 2012.11325v1 Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach MohammadNoor Injadat; Abdallah Moubayed; Abdallah Shami 2020-12-16T16:39:55Z The increased reliance on the Internet and the corresponding surge in connectivity demand has led to a significant growt
9 2012.11327v1 Collaborative residual learners for automatic icd10 prediction using prescribed medications Yassien Shaalan; Alexander Dokumentov; Piyapong Khumrin; Krit Khwanngern; Anawat Wisetborisu; Thanakom Hatsadeang; Nattapat Karaket; Witthawin Achariyaviriya; Sansanee Auephanwiriyakul; Nipon Theera-Umpon; Terence Siganakis 2020-12-16T07:07:27Z Clinical coding is an administrative process that involves the translation of diagnostic data from episodes of care into
10 2012.11333v1 Ensemble model for pre-discharge icd10 coding prediction Yassien Shaalan; Alexander Dokumentov; Piyapong Khumrin; Krit Khwanngern; Anawat Wisetborisu; Thanakom Hatsadeang; Nattapat Karaket; Witthawin Achariyaviriya; Sansanee Auephanwiriyakul; Nipon Theera-Umpon; Terence Siganakis 2020-12-16T07:02:56Z The translation of medical diagnosis to clinical coding has wide range of applications in billing, aetiology analysis, a
11 2012.11337v1 Single-level Optimization For Differential Architecture Search Pengfei Hou; Ying Jin 2020-12-15T18:40:33Z In this paper, we point out that differential architecture search (DARTS) makes gradient of architecture parameters bias
wizard-work/ledger/arxiv_recent_cslg.md
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# arXiv recent cs.LG submissions (extract, 2026-10-29)
Source: `https://export.arxiv.org/api/query?search_query=cat:cs.LG&start=0&max_results=10` (arXiv API export).
Extracted at 2026-10-29T134113ZZ (agent wall-clock) by ledger.
| arxiv_id | title | authors | published | summary |
| --- | --- | --- | --- | --- |
| 2012\.12056v1 | Data\ Assimilation\ in\ the\ Latent\ Space\ of\ a\ Neural\ Network | Maddalena\ Amendola;\ Rossella\ Arcucci;\ Laetitia\ Mottet;\ Cesar\ Quilodran\ Casas;\ Shiwei\ Fan;\ Christopher\ Pain;\ Paul\ Linden;\ Yi\-Ke\ Guo | 2020\-12\-22T14:43:50Z | There\ is\ an\ urgent\ need\ to\ build\ models\ to\ tackle\ Indoor\ Air\ Quality\ issue\.\ Since\ the\ model\ should\ be\ accurate\ and\ fast, |
| 2012\.11638v1 | Unsupervised\ in\-distribution\ anomaly\ detection\ of\ new\ physics\ through\ conditional\ density\ estimation | George\ Stein;\ Uros\ Seljak;\ Biwei\ Dai | 2020\-12\-21T19:05:22Z | Anomaly\ detection\ is\ a\ key\ application\ of\ machine\ learning,\ but\ is\ generally\ focused\ on\ the\ detection\ of\ outlying\ sample |
| 2012\.11510v1 | Design\ Rule\ Checking\ with\ a\ CNN\ Based\ Feature\ Extractor | Luis\ Francisco;\ Tanmay\ Lagare;\ Arpit\ Jain;\ Somal\ Chaudhary;\ Madhura\ Kulkarni;\ Divya\ Sardana;\ W\.\ Rhett\ Davis;\ Paul\ Franzon | 2020\-12\-21T17:26:31Z | Design\ rule\ checking\ \(DRC\)\ is\ getting\ increasingly\ complex\ in\ advanced\ nodes\ technologies\.\ It\ would\ be\ highly\ desirable\ |
| 2012\.11400v2 | Unifying\ Homophily\ and\ Heterophily\ Network\ Transformation\ via\ Motifs | Yan\ Ge;\ Jun\ Ma;\ Li\ Zhang;\ Haiping\ Lu | 2020\-12\-21T15:03:18Z | Higher\-order\ proximity\ \(HOP\)\ is\ fundamental\ for\ most\ network\ embedding\ methods\ due\ to\ its\ significant\ effects\ on\ the\ qua |
| 2012\.10056v1 | Transfer\ Learning\ Based\ Automatic\ Model\ Creation\ Tool\ For\ Resource\ Constraint\ Devices | Karthik\ Bhat;\ Manan\ Bhandari;\ ChangSeok\ Oh;\ Sujin\ Kim;\ Jeeho\ Yoo | 2020\-12\-18T05:38:58Z | With\ the\ enhancement\ of\ Machine\ Learning,\ many\ tools\ are\ being\ designed\ to\ assist\ developers\ to\ easily\ create\ their\ Mach |
| 2012\.10040v1 | Robustness\ to\ Spurious\ Correlations\ in\ Text\ Classification\ via\ Automatically\ Generated\ Counterfactuals | Zhao\ Wang;\ Aron\ Culotta | 2020\-12\-18T03:57:32Z | Spurious\ correlations\ threaten\ the\ validity\ of\ statistical\ classifiers\.\ While\ model\ accuracy\ may\ appear\ high\ when\ the\ te |
| 2012\.11325v1 | Detecting\ Botnet\ Attacks\ in\ IoT\ Environments:\ An\ Optimized\ Machine\ Learning\ Approach | MohammadNoor\ Injadat;\ Abdallah\ Moubayed;\ Abdallah\ Shami | 2020\-12\-16T16:39:55Z | The\ increased\ reliance\ on\ the\ Internet\ and\ the\ corresponding\ surge\ in\ connectivity\ demand\ has\ led\ to\ a\ significant\ growt |
| 2012\.11327v1 | Collaborative\ residual\ learners\ for\ automatic\ icd10\ prediction\ using\ prescribed\ medications | Yassien\ Shaalan;\ Alexander\ Dokumentov;\ Piyapong\ Khumrin;\ Krit\ Khwanngern;\ Anawat\ Wisetborisu;\ Thanakom\ Hatsadeang;\ Nattapat\ Karaket;\ Witthawin\ Achariyaviriya;\ Sansanee\ Auephanwiriyakul;\ Nipon\ Theera\-Umpon;\ Terence\ Siganakis | 2020\-12\-16T07:07:27Z | Clinical\ coding\ is\ an\ administrative\ process\ that\ involves\ the\ translation\ of\ diagnostic\ data\ from\ episodes\ of\ care\ into |
| 2012\.11333v1 | Ensemble\ model\ for\ pre\-discharge\ icd10\ coding\ prediction | Yassien\ Shaalan;\ Alexander\ Dokumentov;\ Piyapong\ Khumrin;\ Krit\ Khwanngern;\ Anawat\ Wisetborisu;\ Thanakom\ Hatsadeang;\ Nattapat\ Karaket;\ Witthawin\ Achariyaviriya;\ Sansanee\ Auephanwiriyakul;\ Nipon\ Theera\-Umpon;\ Terence\ Siganakis | 2020\-12\-16T07:02:56Z | The\ translation\ of\ medical\ diagnosis\ to\ clinical\ coding\ has\ wide\ range\ of\ applications\ in\ billing,\ aetiology\ analysis,\ a |
| 2012\.11337v1 | Single\-level\ Optimization\ For\ Differential\ Architecture\ Search | Pengfei\ Hou;\ Ying\ Jin | 2020\-12\-15T18:40:33Z | In\ this\ paper,\ we\ point\ out\ that\ differential\ architecture\ search\ \(DARTS\)\ makes\ gradient\ of\ architecture\ parameters\ bias |