mlsanityData to 7 Oct 2026

Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks

arXiv 1701.05923 ↗First posted 20 Jan 2017cs.NE stat.MLcited by 239

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Abstract (arXiv)

The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational expense.

Key facts. Cited by 239 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jan 2017.

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Citing papers per year: 2021: 21; 2022: 22; 2023: 39; 2024: 58; 2025: 71; 2026: 28.

239 papers.

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  1. 2025Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Freecited by 266
  2. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  3. 2023Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Surveycited by 140
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  5. 2021KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamicscited by 128
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  8. 2022A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodalcited by 106
  9. 2024FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenescited by 86
  10. 2021Closed-form Continuous-time Neural Modelscited by 65
  11. 2021UnICORNN: A recurrent model for learning very long time dependenciescited by 56
  12. 2024Frequency Adaptive Normalization For Non-stationary Time Series Forecastingcited by 45
38 more
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  2. 2024Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learningcited by 38
  3. 2025Dynamic Search for Inference-Time Alignment in Diffusion Modelscited by 36
  4. 2023Artificial General Intelligence for Medical Imaging Analysiscited by 32
  5. 2022Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checkingcited by 31
  6. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  7. 2023TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Drivingcited by 30
  8. 2023Tensor Networks Meet Neural Networks: A Survey and Future Perspectivescited by 29
  9. 2024Layerwise Recurrent Router for Mixture-of-Expertscited by 21
  10. 2023Global Occlusion-Aware Transformer for Robust Stereo Matchingcited by 19
  11. 2021DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Devicecited by 17
  12. 2023UniSA: Unified Generative Framework for Sentiment Analysiscited by 17
  13. 2021Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challengescited by 16
  14. 2023Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distributioncited by 15
  15. 2024Video Quality Assessment: A Comprehensive Surveycited by 15
  16. 2025Deep Learning Advancements in Anomaly Detection: A Comprehensive Surveycited by 15
  17. 2021Cognitive Visual Commonsense Reasoning Using Dynamic Working Memorycited by 14
  18. 2021Attention-based Reinforcement Learning for Real-Time UAV Semantic Communicationcited by 13
  19. 2022Rapid training of quantum recurrent neural networkscited by 13
  20. 2024From Efficient Multimodal Models to World Models: A Surveycited by 13
  21. 2024Dual-path Collaborative Generation Network for Emotional Video Captioningcited by 13
  22. 2025Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstructioncited by 13
  23. 2021Interpretable Visual Understanding with Cognitive Attention Networkcited by 12
  24. 2025Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learningcited by 12
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  26. 2022Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networkscited by 11
  27. 2023One Forward is Enough for Neural Network Training via Likelihood Ratio Methodcited by 11
  28. 2025ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modelingcited by 11
  29. 2024A Comprehensive Review of Knowledge Distillation in Computer Visioncited by 10
  30. 2024Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Surveycited by 10
  31. 2024Rethinking Transformers in Solving POMDPscited by 9
  32. 2025AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understandingcited by 9
  33. 2023Schema-Guided User Satisfaction Modeling for Task-Oriented Dialoguescited by 8
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  35. 2023Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detectioncited by 7
  36. 2023Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasingcited by 7
  37. 2023Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximationscited by 7
  38. 2024FTS: A Framework to Find a Faithful TimeSievecited by 7

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