regression

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 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

31 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 31 until expanded.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 2,445 papers with code (9,424 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.

• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  9 Mar 2017 85 repositories listed Syntology ran 86 of 154 samples · 68 unverified · 57 pointer-only (licence)
  We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including…
• Weight Uncertainty in Neural Networks
  20 May 2015 38 repositories listed Syntology ran 12 of 15 samples · 3 unverified · 7 pointer-only (licence)
  We introduce a new, efficient, principled and backpropagation-compatible algorithm for learning a probability distribution on the weights of a neural network, called Bayes by Backprop.
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  6 Jun 2015 29 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  In comparison, Bayesian models offer a mathematically grounded framework to reason about model uncertainty, but usually come with a prohibitive computational cost.
• Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
  5 Dec 2016 26 repositories listed Syntology ran 9 of 11 samples · 2 unverified · 6 pointer-only (licence)
  Deep neural networks (NNs) are powerful black box predictors that have recently achieved impressive performance on a wide spectrum of tasks.
• SQuAD: 100,000+ Questions for Machine Comprehension of Text
  16 Jun 2016 21 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)
  We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100, 000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question…
• Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
  19 Nov 2019 20 repositories listed Syntology ran 4 of 25 samples · 21 unverified · 6 pointer-only (licence)
  By incorporating DIoU and CIoU losses into state-of-the-art object detection algorithms, e.
• Implicit Quantile Networks for Distributional Reinforcement Learning
  14 Jun 2018 19 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In this work, we build on recent advances in distributional reinforcement learning to give a generally applicable, flexible, and state-of-the-art distributional variant of DQN.
• Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
  19 May 2017 19 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  Numerous deep learning applications benefit from multi-task learning with multiple regression and classification objectives.
• Distributional Reinforcement Learning with Quantile Regression
  27 Oct 2017 17 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  In this paper, we build on recent work advocating a distributional approach to reinforcement learning in which the distribution over returns is modeled explicitly instead of only estimating the mean.
• 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.
• Tensor Regression
  22 Aug 2023 13 repositories listed
  Tensors, as high dimensional extensions of vectors, are considered as natural representations of high dimensional data.
• TALL: Temporal Activity Localization via Language Query
  5 May 2017 12 repositories listed
  For evaluation, we adopt TaCoS dataset, and build a new dataset for this task on top of Charades by adding sentence temporal annotations, called Charades-STA.
• Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
  17 May 2017 11 repositories listed
  Robust object tracking requires knowledge and understanding of the object being tracked: its appearance, its motion, and how it changes over time.
• What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
  15 Mar 2017 11 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 4 pointer-only (licence)
  On the other hand, epistemic uncertainty accounts for uncertainty in the model -- uncertainty which can be explained away given enough data.
• Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
  25 Feb 2019 10 repositories listed
  By incorporating this generalized IoU (GIoU) as a loss into the state-of-the art object detection frameworks, we show a consistent improvement on their performance using both the standard, IoU based, and new, GIoU…
• Complex-YOLO: Real-time 3D Object Detection on Point Clouds
  16 Mar 2018 10 repositories listed
  We introduce Complex-YOLO, a state of the art real-time 3D object detection network on point clouds only.
• NiftyNet: a deep-learning platform for medical imaging
  11 Sep 2017 10 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  NiftyNet provides a modular deep-learning pipeline for a range of medical imaging applications including segmentation, regression, image generation and representation learning applications.
• RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
  1 Jun 2020 9 repositories listed
  Though tremendous strides have been made in uncontrolled face detection, accurate and efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open challenge.
• High-Speed Tracking with Kernelized Correlation Filters
  30 Apr 2014 9 repositories listed
  Interestingly, for linear regression our formulation is equivalent to a correlation filter, used by some of the fastest competitive trackers.
• Neural Additive Models: Interpretable Machine Learning with Neural Nets
  29 Apr 2020 8 repositories listed Syntology ran 26 of 33 samples · 7 unverified · 14 pointer-only (licence)
  They perform similarly to existing state-of-the-art generalized additive models in accuracy, but are more flexible because they are based on neural nets instead of boosted trees.
• Attentive Neural Processes
  17 Jan 2019 8 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Neural Processes (NPs) (Garnelo et al 2018a;b) approach regression by learning to map a context set of observed input-output pairs to a distribution over regression functions.
• Link and code: Fast indexing with graphs and compact regression codes
  26 Apr 2018 8 repositories listed
  Similarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements.
• Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
  15 Aug 2017 8 repositories listed
  Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions.
• Doubly Stochastic Variational Inference for Deep Gaussian Processes
  24 May 2017 8 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  Existing approaches to inference in DGP models assume approximate posteriors that force independence between the layers, and do not work well in practice.
• BlazePose: On-device Real-time Body Pose tracking
  17 Jun 2020 7 repositories listed
  We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.
• Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
  16 Apr 2019 7 repositories listed Syntology ran 7 of 27 samples · 20 unverified · 1 pointer-only (licence)
  Then we propose a novel loss function, named Adaptive Wing loss, that is able to adapt its shape to different types of ground truth heatmap pixels.
• A Tutorial on Bayesian Optimization
  8 Jul 2018 7 repositories listed Syntology ran 2 of 10 samples · 8 unverified
  It builds a surrogate for the objective and quantifies the uncertainty in that surrogate using a Bayesian machine learning technique, Gaussian process regression, and then uses an acquisition function defined from this…
• DeepPose: Human Pose Estimation via Deep Neural Networks
  17 Dec 2013 7 repositories listed
  We propose a method for human pose estimation based on Deep Neural Networks (DNNs).
• Exhaustive Symbolic Regression
  21 Nov 2022 6 repositories listed
  To address these issues we introduce Exhaustive Symbolic Regression (ESR), which systematically and efficiently considers all possible equations -- made with a given basis set of operators and up to a specified maximum…
• Polarized Self-Attention: Towards High-quality Pixel-wise Regression
  2 Jul 2021 6 repositories listed
  Pixel-wise regression is probably the most common problem in fine-grained computer vision tasks, such as estimating keypoint heatmaps and segmentation masks.

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.