Ensemble Learning

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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 317 papers with code (1,207 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.

• Predicting the direction of stock market prices using random forest
  29 Apr 2016 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  In this paper, we propose a novel way to minimize the risk of investment in stock market by predicting the returns of a stock using a class of powerful machine learning algorithms known as ensemble learning.
• Masksembles for Uncertainty Estimation
  15 Dec 2020 4 repositories listed
  Our central intuition is that there is a continuous spectrum of ensemble-like models of which MC-Dropout and Deep Ensembles are extreme examples.
• Gossip Learning with Linear Models on Fully Distributed Data
  7 Sep 2011 4 repositories listed
  Machine learning over fully distributed data poses an important problem in peer-to-peer (P2P) applications.
• Deep Ensemble Learning with Frame Skipping for Face Anti-Spoofing
  6 Jul 2023 3 repositories listed
  Face presentation attacks (PA), also known as spoofing attacks, pose a substantial threat to biometric systems that rely on facial recognition systems, such as access control systems, mobile payments, and identity…
• Representation Topology Divergence: A Method for Comparing Neural Network Representations
  31 Dec 2021 3 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 2 pointer-only (licence)
  Comparison of data representations is a complex multi-aspect problem that has not enjoyed a complete solution yet.
• DebiasedDTA: A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models
  4 Jul 2021 3 repositories listed
  Here, we present DebiasedDTA, a novel drug-target affinity (DTA) prediction model training framework that addresses dataset biases to improve the generalizability of affinity prediction models.
• Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding
  20 Apr 2019 3 repositories listed
  This paper explores the use of knowledge distillation to improve a Multi-Task Deep Neural Network (MT-DNN) (Liu et al., 2019) for learning text representations across multiple natural language understanding tasks.
• EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
  4 May 2025 2 repositories listed
  Accurate CI predictions are vital for minimizing carbon footprints, yet the state-of-the-art method (CarbonCast) falls short due to its inability to address regional variability and lack of adaptability.
• Offline Model-Based Optimization by Learning to Rank
  15 Oct 2024 2 repositories listed Syntology ran 15 of 17 samples · 2 unverified · 9 pointer-only (licence)
  Based on this observation, we propose learning a ranking-based model that leverages learning to rank techniques to prioritize promising designs based on their relative scores.
• INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning
  28 Sep 2024 2 repositories listed
  Medication Extraction and Mining play an important role in healthcare NLP research due to its practical applications in hospital settings, such as their mapping into standard clinical knowledge bases (SNOMED-CT, BNF,…
• Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
  19 Aug 2024 2 repositories listed
  To address this issue, this paper proposes a new large-scale, cross-domain pedestrian attribute recognition dataset to fill the data gap, termed MSP60K.
• A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP
  25 Oct 2023 2 repositories listed
  In this paper, we present a new deep learning supervised method for detecting events in multivariate time series data.
• Ensemble Learning for Graph Neural Networks
  22 Oct 2023 2 repositories listed
  Graph Neural Networks (GNNs) have shown success in various fields for learning from graph-structured data.
• Relation-aware Ensemble Learning for Knowledge Graph Embedding
  13 Oct 2023 2 repositories listed
  Knowledge graph (KG) embedding is a fundamental task in natural language processing, and various methods have been proposed to explore semantic patterns in distinctive ways.
• Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
  15 Jul 2023 2 repositories listed
  Inspired by SkeletonBYOL, this paper further presents a Cross-Model and Cross-Stream (CMCS) framework.
• Intent-aware Ranking Ensemble for Personalized Recommendation
  15 Apr 2023 2 repositories listed
  To address such a task, we propose an Intent-aware ranking Ensemble Learning~(IntEL) model to fuse multiple single-objective item lists with various user intents, in which item-level personalized weights are learned.
• Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networks
  14 Feb 2023 2 repositories listed
  Ensemble learning is partially a solution to the problem of small datasets and overfitting.
• Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
  11 Oct 2022 2 repositories listed
  Consider making a prediction over new test data without any opportunity to learn from a training set of labelled data - instead given access to a set of expert models and their predictions alongside some limited…
• Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning
  14 Jul 2022 2 repositories listed
  Thus, we focus on few-shot SEI (FS-SEI) for aircraft identification via automatic dependent surveillance-broadcast (ADS-B) signals, and a novel FS-SEI method is proposed, based on deep metric ensemble learning (DMEL).
• A Deep Convolutional Neural Networks Based Multi-Task Ensemble Model for Aspect and Polarity Classification in Persian Reviews
  17 Jan 2022 2 repositories listed
  The results indicate that this new approach increases the efficiency of the sentiment analysis model in the Persian language.
• Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text
  10 Oct 2021 2 repositories listed
  The increase in people's use of mobile messaging services has led to the spread of social engineering attacks like phishing, considering that spam text is one of the main factors in the dissemination of phishing attacks…
• Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
  28 Jun 2021 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Our framework, FreeTickets, is defined as the ensemble of these relatively cheap sparse subnetworks.
• Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
  24 Apr 2021 2 repositories listed
  In addition to using the conditional GAN to generate class balanced supplementary training data, an innovative ensemble learning loss function ensuring each discriminator makes up for the deficiencies of the others is…
• Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
  26 Mar 2021 2 repositories listed
  Preventable or undiagnosed visual impairment and blindness affect billion of people worldwide.
• Domain Generalization: A Survey
  3 Mar 2021 2 repositories listed
  Generalization to out-of-distribution (OOD) data is a capability natural to humans yet challenging for machines to reproduce.
• Using Transformer based Ensemble Learning to classify Scientific Articles
  19 Feb 2021 2 repositories listed
  The first one is a RoBERTa [10] based model built over these abstracts.
• Conformal prediction interval for dynamic time-series
  18 Oct 2020 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We develop a method to construct distribution-free prediction intervals for dynamic time-series, called \Verb|EnbPI| that wraps around any bootstrap ensemble estimator to construct sequential prediction intervals.
• Multiple Expert Brainstorming for Domain Adaptive Person Re-identification
  3 Jul 2020 2 repositories listed
  Often the best performing deep neural models are ensembles of multiple base-level networks, nevertheless, ensemble learning with respect to domain adaptive person re-ID remains unexplored.
• Sample Efficient Ensemble Learning with Catalyst.RL
  29 Mar 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  We present Catalyst.
• Ensemble learning in CNN augmented with fully connected subnetworks
  19 Mar 2020 2 repositories listed
  The output of the overall model is determined by majority vote of the base CNN and the FCSNs.

Syntology lines on 6 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.