3.2 KiB
3.2 KiB
| 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 |