Feature Engineering

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 472 papers with code (1,706 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
  17 Nov 2017 44 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
• Wide & Deep Learning for Recommender Systems
  24 Jun 2016 39 repositories listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  Memorization of feature interactions through a wide set of cross-product feature transformations are effective and interpretable, while generalization requires more feature engineering effort.
• End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
  4 Mar 2016 25 repositories listed Syntology ran 4 of 24 samples · 20 unverified · 3 pointer-only (licence)
  State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing.
• DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
  13 Mar 2017 23 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 2 pointer-only (licence)
  Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems.
• Deep & Cross Network for Ad Click Predictions
  17 Aug 2017 16 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Feature engineering has been the key to the success of many prediction models.
• Named Entity Recognition with Bidirectional LSTM-CNNs
  26 Nov 2015 14 repositories listed Syntology ran 4 of 9 samples · 5 unverified · 4 pointer-only (licence)
  Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
• Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
  1 Jul 2018 10 repositories listed
  User response prediction is a crucial component for personalized information retrieval and filtering scenarios, such as recommender system and web search.
• DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
  12 Apr 2018 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this paper, we study two instances of DeepFM where its "deep" component is DNN and PNN respectively, for which we denote as DeepFM-D and DeepFM-P.
• CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
  20 Apr 2020 7 repositories listed Syntology ran 4 of 17 samples · 13 unverified
  The extraction of labels from radiology text reports enables large-scale training of medical imaging models.
• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
  11 May 2019 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations.
• Retrieve, Merge, Predict: Augmenting Tables with Data Lakes
  9 Feb 2024 5 repositories listed
  Machine-learning from a disparate set of tables, a data lake, requires assembling features by merging and aggregating tables.
• Multimodal Speech Emotion Recognition and Ambiguity Resolution
  12 Apr 2019 5 repositories listed
  In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.
• Discovering Neural Wirings
  3 Jun 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this work we propose a method for discovering neural wirings.
• Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees
  18 May 2019 4 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Tree ensembles, such as random forests and AdaBoost, are ubiquitous machine learning models known for achieving strong predictive performance across a wide variety of domains.
• SAFE ML: Surrogate Assisted Feature Extraction for Model Learning
  28 Feb 2019 4 repositories listed
  Complex black-box predictive models may have high accuracy, but opacity causes problems like lack of trust, lack of stability, sensitivity to concept drift.
• ML-Net: multi-label classification of biomedical texts with deep neural networks
  13 Nov 2018 4 repositories listed
  Due to this nature, the multi-label text classification task is often considered to be more challenging compared to the binary or multi-class text classification problems.
• Disfluency Detection using Auto-Correlational Neural Networks
  28 Aug 2018 4 repositories listed
  In recent years, the natural language processing community has moved away from task-specific feature engineering, i.
• SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
  6 Dec 2017 4 repositories listed
  Chemical databases store information in text representations, and the SMILES format is a universal standard used in many cheminformatics software.
• Neural Vector Spaces for Unsupervised Information Retrieval
  9 Aug 2017 4 repositories listed
  We propose the Neural Vector Space Model (NVSM), a method that learns representations of documents in an unsupervised manner for news article retrieval.
• Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
  18 Mar 2017 4 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Recent papers have shown that neural networks obtain state-of-the-art performance on several different sequence tagging tasks.
• DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
  2 Jun 2016 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We introduce DeepSurv, a Cox proportional hazards deep neural network and state-of-the-art survival method for modeling interactions between a patient's covariates and treatment effectiveness in order to provide…
• Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
  1 Mar 2016 4 repositories listed
  We explore how inverse optimal control (IOC) can be used to learn behaviors from demonstrations, with applications to torque control of high-dimensional robotic systems.
• RelBench: A Benchmark for Deep Learning on Relational Databases
  29 Jul 2024 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We use RelBench to conduct the first comprehensive study of Relational Deep Learning (RDL) (Fey et al., 2024), which combines graph neural network predictive models with (deep) tabular models that extract initial…
• DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
  18 Mar 2024 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Reverse sampling and score-distillation have emerged as main workhorses in recent years for image manipulation using latent diffusion models (LDMs).
• VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
  19 Jul 2021 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  End-to-end AutoML has attracted intensive interests from both academia and industry, which automatically searches for ML pipelines in a space induced by feature engineering, algorithm/model selection, and…
• Enabling Collaborative Data Science Development with the Ballet Framework
  14 Dec 2020 3 repositories listed
  While the open-source software development model has led to successful large-scale collaborations in building software systems, data science projects are frequently developed by individuals or small teams.
• VEST: Automatic Feature Engineering for Forecasting
  14 Oct 2020 3 repositories listed
  Time series forecasting is a challenging task with applications in a wide range of domains.
• Cardea: An Open Automated Machine Learning Framework for Electronic Health Records
  1 Oct 2020 3 repositories listed
  An estimated 180 papers focusing on deep learning and EHR were published between 2010 and 2018.
• A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances
  22 May 2020 3 repositories listed Syntology ran 2 of 17 samples · 15 unverified
  The deluge of digital information in our daily life -- from user-generated content, such as microblogs and scientific papers, to online business, such as viral marketing and advertising -- offers unprecedented…
• See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
  3 Dec 2019 3 repositories listed
  However, nowadays, the data shared at social media is a ubiquitous source that can be used to detect the depression symptoms even when the student is not able to afford or search for professional care.

Syntology lines on 17 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.