Browse State-of-the-Art › Dataset Generation
Dataset Generation
144 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The task involves enhancing the training of target application (e.g. autonomous driving systems) by generating datasets of diverse and critical elements (e.g. traffic scenarios). Traditional methods rely on expensive and limited datasets, which often fail to capture rare but essential situations that can pose risks during testing.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
No dataset record in the archive lists this task.
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 144 papers with code (308 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.
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31 May 2019 5 repositories listedIn this paper, we propose an architecture based on graph networks as a better alternative to standard neural networks for table recognition.
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16 Sep 2018 4 repositories listedWe train a variant of Mask R-CNN with domain randomization on the generated dataset to perform category-agnostic instance segmentation without any hand-labeled data and we evaluate the trained network, which we refer to…
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29 May 2024 3 repositories listedWe present Cephalo, a series of multimodal vision large language models (V-LLMs) designed for materials science applications, integrating visual and linguistic data for enhanced understanding.
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13 Nov 2023 3 repositories listedIn the post-pandemic era, wearing face masks has posed great challenge to the ordinary face recognition.
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1 Sep 2023 3 repositories listedThis work proposes a deep-learning-based method to detect NLOS receptions and predict GNSS pseudorange errors by analyzing GNSS observations as a spatio-temporal modeling problem.
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18 Oct 2022 3 repositories listedThis approach of image scraping and selection relaxes the need for a real-world domain-specific dataset that must be either publicly available or created for this purpose.
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16 Feb 2022 3 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 7 pointer-only (licence)There is a growing interest in dataset generation recently due to the superior generative capacity of large pre-trained language models (PLMs).
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14 Jun 2025 2 repositories listedThis enhances the robustness of semantic map estimation under loose-fitting garments during garment-specific dataset generation.
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14 Nov 2024 2 repositories listedThis paper introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine learning~(ML) applications within the logic synthesis process.
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17 Aug 2024 2 repositories listedMoreover, physical dynamics and cross-domain transformation are challenging to strictly regulate in the real world, leading to unaligned evaluation and comparison, severely hindering the development of physically robust…
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15 Jul 2024 2 repositories listed Syntology ran 17 of 21 samples · 4 unverified · 21 pointer-only (licence)While text-to-image diffusion models have been shown to achieve state-of-the-art results in image synthesis, they have yet to prove their effectiveness in downstream applications.
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3 Jul 2024 2 repositories listedBlack box deep learning models trained on genomic sequences excel at predicting the outcomes of different gene regulatory mechanisms.
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16 Apr 2024 2 repositories listed Syntology ran 2 of 3 samples · 1 unverifiedDespite being trained specifically to follow user instructions, today's instructiontuned language models perform poorly when instructed to produce random outputs.
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21 Nov 2023 2 repositories listed Syntology ran 12 of 18 samples · 6 unverified · 17 pointer-only (licence)Solving a polynomial system, or computing an associated Gr\"obner basis, has been a fundamental task in computational algebra.
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31 Aug 2023 2 repositories listedAs the field of Large Language Models (LLMs) evolves at an accelerated pace, the critical need to assess and monitor their performance emerges.
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22 Oct 2022 2 repositories listedTo improve the quality of dataset synthesis, we propose a progressive zero-shot dataset generation framework, ProGen, which leverages the feedback from the task-specific model to guide the generation of new training…
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26 Jul 2022 2 repositories listedSemantic segmentation is a widely used perception method for self-driving cars that associates each pixel of an image with a predefined class.
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19 Dec 2019 2 repositories listedCurrent home appliances are capable to execute a limited number of voice commands such as turning devices on or off, adjusting music volume or light conditions.
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10 Mar 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedTraining end-to-end deep robot policies requires a lot of domain-, task-, and hardware-specific data, which is often costly to provide.
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14 Jul 2025 1 repository listedVision Language Action (VLA) models represent a transformative shift in robotics, with the aim of unifying visual perception, natural language understanding, and embodied control within a single learning framework.
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25 Jun 2025 1 repository listedRecent developments in the Internet of Bio-Nano Things (IoBNT) are laying the groundwork for innovative applications across the healthcare sector.
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15 Jun 2025 1 repository listedMany models are pretrained on redacted text for privacy reasons.
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12 Jun 2025 1 repository listedTraining large language models (LLMs) with chain-of-thought (CoT) supervision has proven effective for enhancing their reasoning abilities.
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9 Jun 2025 1 repository listedRetrieval-Augmented Generation (RAG) grounds large language models in external evidence, yet it still falters when answers must be pieced together across semantically distant documents.
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5 Jun 2025 1 repository listedDespite rapid advances in vision-language models (VLMs), current benchmarks for multimodal reasoning fall short in three key dimensions.
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2 Jun 2025 1 repository listedRobust causal discovery in time series datasets depends on reliable benchmark datasets with known ground-truth causal relationships.
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23 May 2025 1 repository listedModern machine learning methods require significant amounts of labelled data, making the preparation process time-consuming and resource-intensive.
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23 May 2025 1 repository listedNanomaterial research is becoming a vital area for energy, medicine, and materials science, and accurate analysis of the nanoparticle topology is essential to determine their properties.
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21 May 2025 1 repository listedWe evaluate on the nuScenes and SemanticKITTI datasets under both the DG and UDA settings.
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17 May 2025 1 repository listedTiny QA Benchmark++ (TQB++) presents an ultra-lightweight, multilingual smoke-test suite designed to give large-language-model (LLM) pipelines a unit-test style safety net dataset that runs in seconds with minimal cost.
Syntology lines on 5 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.
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