Binary Classification

Benchmarks archive 2025-07-28

14 leaderboard tables shown for this task, 4 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. 10 shown of 14 until expanded.

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

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

Subtasks archive 2025-07-28

6 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 710 papers with code (2,574 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.

• Bayesian regression and Bitcoin
  6 Oct 2014 15 repositories listed Syntology ran 10 of 13 samples · 3 unverified · 8 pointer-only (licence)
  In this paper, we discuss the method of Bayesian regression and its efficacy for predicting price variation of Bitcoin, a recently popularized virtual, cryptographic currency.
• Sampling Generative Networks
  14 Sep 2016 13 repositories listed Syntology ran 1 of 15 samples · 14 unverified
  We introduce several techniques for sampling and visualizing the latent spaces of generative models.
• Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
  19 Jul 2018 11 repositories listed
  In this work, we propose a novel multi-task learning approach, Multi-gate Mixture-of-Experts (MMoE), which explicitly learns to model task relationships from data.
• wav2vec: Unsupervised Pre-training for Speech Recognition
  11 Apr 2019 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Our experiments on WSJ reduce WER of a strong character-based log-mel filterbank baseline by up to 36% when only a few hours of transcribed data is available.
• A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
  10 Sep 2017 5 repositories listed
  Conventionally, like most neural networks, both of the aforementioned RNN variants employ the Softmax function as its final output layer for its prediction, and the cross-entropy function for computing its loss.
• Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis
  29 Jan 2024 4 repositories listed
  In an era where biometric security serves as a keystone of modern identity verification systems, ensuring the authenticity of these biometric samples is paramount.
• How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
  17 Feb 2021 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  In this paper, we introduce a 3-dimensional evaluation metric, (α-Precision, β-Recall, Authenticity), that characterizes the fidelity, diversity and generalization performance of any generative model in a…
• The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
  10 May 2020 4 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  This work proposes a new challenge set for multimodal classification, focusing on detecting hate speech in multimodal memes.
• Rank consistent ordinal regression for neural networks with application to age estimation
  20 Jan 2019 4 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy.
• DeepDTA: Deep Drug-Target Binding Affinity Prediction
  30 Jan 2018 4 repositories listed
  The results show that the proposed deep learning based model that uses the 1D representations of targets and drugs is an effective approach for drug target binding affinity prediction.
• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
  4 Jan 2017 4 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  We introduce SalGAN, a deep convolutional neural network for visual saliency prediction trained with adversarial examples.
• Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
  17 Dec 2014 4 repositories listed
  Sentiment analysis is a common task in natural language processing that aims to detect polarity of a text document (typically a consumer review).
• Better than classical? The subtle art of benchmarking quantum machine learning models
  11 Mar 2024 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Benchmarking models via classical simulations is one of the main ways to judge ideas in quantum machine learning before noise-free hardware is available.
• GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
  3 Mar 2024 3 repositories listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)
  Recent advancements in Text-to-Image (T2I) models have raised significant safety concerns about their potential misuse for generating inappropriate or Not-Safe-For-Work (NSFW) contents, despite existing countermeasures…
• A Closer Look at AUROC and AUPRC under Class Imbalance
  11 Jan 2024 3 repositories listed Syntology ran 25 of 34 samples · 9 unverified · 21 pointer-only (licence)
  First, we theoretically characterize the behavior of AUROC and AUPRC in the presence of model mistakes, establishing clearly that AUPRC is not generally superior in cases of class imbalance.
• Paraphrase Types for Generation and Detection
  23 Oct 2023 3 repositories listed
  Current approaches in paraphrase generation and detection heavily rely on a single general similarity score, ignoring the intricate linguistic properties of language.
• Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
  29 Aug 2023 3 repositories listed
  In this paper, we propose an attack type robust face anti-spoofing framework under light flash, called ATR-FAS.
• PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
  19 Nov 2022 3 repositories listed
  Automatic security inspection relying on computer vision technology is a challenging task in real-world scenarios due to many factors, such as intra-class variance, class imbalance, and occlusion.
• Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective
  18 Oct 2022 3 repositories listed
  In recent years, XAI researchers have been formalizing proposals and developing new methods to explain black box models, with no general consensus in the community on which method to use to explain these models, with…
• Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
  13 Jun 2022 3 repositories listed
  Face anti-spoofing has drawn a lot of attention due to the high security requirements in biometric authentication systems.
• Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
  8 Jul 2021 3 repositories listed
  We use this platform to demonstrate our research and development results on privacy preserving machine learning algorithms.
• Strong Optimal Classification Trees
  29 Mar 2021 3 repositories listed
  To fill this gap in the literature, we propose an intuitive flow-based MIO formulation for learning optimal binary classification trees.
• Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire Detection
  17 Oct 2020 3 repositories listed
  Automatic visual fire detection is used to complement traditional fire detection sensor systems (smoke/heat).
• Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction
  26 Jul 2020 3 repositories listed
  A common approach to medical image analysis on volumetric data uses deep 2D convolutional neural networks (CNNs).
• The MCC-F1 curve: a performance evaluation technique for binary classification
  17 Jun 2020 3 repositories listed
  Many fields use the ROC curve and the PR curve as standard evaluations of binary classification methods.
• On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
  4 Mar 2020 3 repositories listed
  Deep convolutional neural networks (CNNs) trained with logistic and softmax losses have made significant advancement in visual recognition tasks in computer vision.
• Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
  28 Oct 2019 3 repositories listed Syntology ran 4 of 7 samples · 3 unverified
  Class probabilities predicted by most multiclass classifiers are uncalibrated, often tending towards over-confidence.
• GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
  21 Dec 2018 3 repositories listed
  Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources.
• A Reductions Approach to Fair Classification
  6 Mar 2018 3 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  We present a systematic approach for achieving fairness in a binary classification setting.
• The Marginal Value of Adaptive Gradient Methods in Machine Learning
  23 May 2017 3 repositories listed
  Adaptive optimization methods, which perform local optimization with a metric constructed from the history of iterates, are becoming increasingly popular for training deep neural networks.

Syntology lines on 12 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.