4.0 KiB
4.0 KiB
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 |