Dynamic neural networks

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (37 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.

• A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor Fusion
  13 Jan 2025 1 repository listed
  We present a comprehensive survey that synthesizes and unifies existing Dynamic Neural Networks research in the context of Computer Vision.
• DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
  3 Jul 2024 1 repository listed Syntology ran 6 of 12 samples · 6 unverified · 12 pointer-only (licence)
  Based on DFA, the proposed dynamic encoder layer aggregates the temporal features within the action time ranges and guarantees the discriminability of the extracted representations.
• Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded Devices
  17 Jan 2024 1 repository listed
  In this thesis, we proposed a combined method, a system was developed for DNN performance trade-off management, combining the runtime trade-off opportunities in both algorithms and hardware to meet dynamically changing…
• Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
  13 Oct 2023 1 repository listed Syntology ran 9 of 9 samples · 0 unverified · 9 pointer-only (licence)
  Training an EDNN architecture is challenging as it consists of two intertwined components: the gating mechanism (GM) that controls early-exiting decisions and the intermediate inference modules (IMs) that perform…
• Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks
  17 Aug 2023 1 repository listed
  Then, through research studies, we provide insight into the design choices that can increase robustness of DyNNs against the attack generated using static model.
• Fixing Overconfidence in Dynamic Neural Networks
  13 Feb 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  Dynamic neural networks are a recent technique that promises a remedy for the increasing size of modern deep learning models by dynamically adapting their computational cost to the difficulty of the inputs.
• HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling
  6 Dec 2022 1 repository listed
  Dynamic neural networks (DyNNs) have become viable techniques to enable intelligence on resource-constrained edge devices while maintaining computational efficiency.
• Boosted Dynamic Neural Networks
  30 Nov 2022 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  To optimize the model, these prediction heads together with the network backbone are trained on every batch of training data.
• SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
  16 Jun 2022 1 repository listed
  Using FLOPs as an analog for reaction time, we compare networks with humans on curve-fit error, category-wise correlation, and curve steepness, and conclude that cascaded dynamic neural networks are a promising model of…
• Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
  21 May 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Temporal domain generalization is a promising yet extremely challenging area where the goal is to learn models under temporally changing data distributions and generalize to unseen data distributions following the…
• DYNASHARE: DYNAMIC NEURAL NETWORKS FOR MULTI-TASK LEARNING
  29 Sep 2021 1 repository listed
  Parameter sharing approaches for deep multi-task learning share a common intuition: for a single network to perform multiple prediction tasks, the network needs to support multiple specialized execution paths.
• Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
  8 Feb 2021 1 repository listed
  Extensive experiments evidence that the proposed task-oriented communication system achieves a better rate-distortion tradeoff than baseline methods and significantly reduces the feature transmission latency in dynamic…
• Dynamic Dual Gating Neural Networks
  1 Jan 2021 1 repository listed
  In particular, dynamic dual gating can provide 59.
• AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks
  27 May 2017 1 repository listed
  Through an implementation on multi-core CPUs, we show that AMP training converges to the same accuracy as conventional synchronous training algorithms in a similar number of epochs, but utilizes the available hardware…
• Nonlinear Systems Identification Using Deep Dynamic Neural Networks
  5 Oct 2016 1 repository listed
  Neural networks are known to be effective function approximators.

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.