Dynamic Time Warping

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 130 papers with code (433 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.

• Soft-DTW: a Differentiable Loss Function for Time-Series
  5 Mar 2017 9 repositories listed Syntology ran 1 of 11 samples · 10 unverified · 3 pointer-only (licence)
  We propose in this paper a differentiable learning loss between time series, building upon the celebrated dynamic time warping (DTW) discrepancy.
• Learning the Beauty in Songs: Neural Singing Voice Beautifier
  27 Feb 2022 4 repositories listed Syntology ran 5 of 14 samples · 9 unverified · 1 pointer-only (licence)
  Furthermore, we propose a latent-mapping algorithm in the latent space to convert the amateur vocal tone to the professional one.
• Bake off redux: a review and experimental evaluation of recent time series classification algorithms
  25 Apr 2023 3 repositories listed
  We introduce 30 classification datasets either recently donated to the archive or reformatted to the TSC format, and use these to further evaluate the best performing algorithm from each category.
• Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
  19 Sep 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 1 pointer-only (licence)
  We introduce a differentiable loss function suitable for training deep neural nets, and provide a custom back-prop implementation for speeding up optimization.
• ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
  28 Jun 2025 2 repositories listed
  We introduce ActAlign, a zero-shot framework that formulates video classification as sequence alignment.
• Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
  30 Sep 2024 2 repositories listed Syntology ran 9 of 15 samples · 6 unverified · 15 pointer-only (licence)
  Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge domain gap and the scarcity of multi-modal data.
• WARP-Q: Quality Prediction For Generative Neural Speech Codecs
  20 Feb 2021 2 repositories listed
  Good speech quality has been achieved using waveform matching and parametric reconstruction coders.
• Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping
  10 Feb 2021 2 repositories listed
  This threshold, provided by the similarity search process, also allows to early abandon the computation of a distance itself.
• Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics
  3 Aug 2020 2 repositories listed
  One potential approach to this problem is to use dynamic time warping (DTW) to find well-aligning patterns from the speech data.
• Multilingual Jointly Trained Acoustic and Written Word Embeddings
  24 Jun 2020 2 repositories listed
  The pre-trained models can then be used for unseen zero-resource languages, or fine-tuned on data from low-resource languages.
• End-to-End Adversarial Text-to-Speech
  5 Jun 2020 2 repositories listed Syntology ran 9 of 12 samples · 3 unverified · 12 pointer-only (licence)
  Modern text-to-speech synthesis pipelines typically involve multiple processing stages, each of which is designed or learnt independently from the rest.
• Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher
  19 Apr 2020 2 repositories listed
  In order to address this problem, we propose a novel time series data augmentation called guided warping.
• Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
  1 Feb 2020 2 repositories listed
  We demonstrate our approaches on an application for studying coordinated collective behavior and other real-world casual-inference datasets and show that our proposed approaches perform better than several existing…
• Spatio-Temporal Alignments: Optimal transport through space and time
  9 Oct 2019 2 repositories listed
  In this paper, we propose Spatio-Temporal Alignments (STA), a new differentiable formulation of DTW, in which spatial differences between time samples are accounted for using regularized optimal transport (OT).
• A General Optimization Framework for Dynamic Time Warping
  30 May 2019 2 repositories listed
  We pose the choice of warping function as an optimization problem with several terms in the objective.
• Adversarial Attacks on Time Series
  27 Feb 2019 2 repositories listed
  In this paper, we propose utilizing an adversarial transformation network (ATN) on a distilled model to attack various time series classification models.
• Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
  5 Feb 2019 2 repositories listed
  This empirical study proposes two novel approaches for the early detection of sepsis: a deep learning model and a lazy learner based on time series distances.
• Multimodal One-Shot Learning of Speech and Images
  9 Nov 2018 2 repositories listed
  Imagine a robot is shown new concepts visually together with spoken tags, e.
• Data augmentation using synthetic data for time series classification with deep residual networks
  7 Aug 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This is surprising as the accuracy of deep learning models for TSC could potentially be improved, especially for small datasets that exhibit overfitting, when a data augmentation method is adopted.
• Human Motion Analysis with Deep Metric Learning
  30 Jul 2018 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Nevertheless, we believe that traditional approaches such as L2 distance or Dynamic Time Warping based on hand-crafted local pose metrics fail to appropriately capture the semantic relationship across motions and, as…
• TimeNet: Pre-trained deep recurrent neural network for time series classification
  23 Jun 2017 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Inspired by the tremendous success of deep Convolutional Neural Networks as generic feature extractors for images, we propose TimeNet: a deep recurrent neural network (RNN) trained on diverse time series in an…
• Times series averaging and denoising from a probabilistic perspective on time-elastic kernels
  28 Nov 2016 2 repositories listed
  In the light of regularized dynamic time warping kernels, this paper re-considers the concept of time elastic centroid for a setof time series.
• shapeDTW: shape Dynamic Time Warping
  6 Jun 2016 2 repositories listed
  Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments.
• Multi-Scale Convolutional Neural Networks for Time Series Classification
  22 Mar 2016 2 repositories listed
  These methods are ad-hoc and separate the feature extraction part with the classification part, which limits their accuracy performance.
• A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records
  1 Aug 2006 2 repositories listed
  In this work, we introduce gapIt, a user-driven case-based reasoning tool for infilling gaps in daily mean river flow records.
• TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
  29 May 2025 1 repository listed Syntology ran 8 of 15 samples · 7 unverified · 1 pointer-only (licence)
  Applying DTW to these sparse representations yield major speedups and typically higher alignment accuracy than standard DTW applied to the full signals.
• Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records
  16 Jan 2025 1 repository listed
  Our findings show that the narrative maps approach generally outperforms random sampling for longer timelines (10+ images, p < 0.
• STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
  19 Dec 2024 1 repository listed
  Many robot learning methods treat such datasets as multi-task expert data and learn a multi-task, generalist policy by training broadly across them.
• Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows
  30 Nov 2024 1 repository listed
  The AD-based framework not only includes forword modeling and associated gradient computations for wave equations in various types of media from isotropic acoustic to vertically or horizontally transverse isotropic…
• Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
  19 Nov 2024 1 repository listed
  Firstly, to obtain the dynamic similarity of each sample, we initially use temporal contrast learning module to acquire MTS representations.

Syntology lines on 9 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.