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Dynamic neural networks

Dynamic neural networks are adaptable models that can change their structure or parameters during training or inference based on input complexity or computational constraints. They offer benefits like improved efficiency, adaptability, and scalability compared to static architectures.

Papers

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Showing 1–37 of 37 papers

TitleStatusHype
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor FusionCode1
Parametric Taylor series based latent dynamics identification neural networks—0
An Introduction to Cognidynamics—0
DyFADet: Dynamic Feature Aggregation for Temporal Action DetectionCode1
Neuroevolving Electronic Dynamical Networks—0
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded DevicesCode1
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference—0
Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNNCode0
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural NetworksCode0
Long-Distance Gesture Recognition using Dynamic Neural Networks—0
Monadic Deep Learning—0
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization—0
Stock Price Prediction using Dynamic Neural Networks—0
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master—0
GradMDM: Adversarial Attack on Dynamic Networks—0
Fixing Overconfidence in Dynamic Neural NetworksCode0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines—0
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection—0
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
Boosted Dynamic Neural NetworksCode0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks—0
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networksCode0
Temporal Domain Generalization with Drift-Aware Dynamic Neural NetworksCode1
A Survey on Dynamic Neural Networks for Natural Language Processing—0
DYNASHARE: DYNAMIC NEURAL NETWORKS FOR MULTI-TASK LEARNINGCode0
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network—0
Siamese Labels Auxiliary Learning—0
Dynamic Neural Networks: A Survey—0
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck ApproachCode1
Dynamic Dual Gating Neural NetworksCode1
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference—0
Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison—0
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks—0
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks—0
Nonlinear Systems Identification Using Deep Dynamic Neural NetworksCode0
Analysis of Memory Organization for Dynamic Neural Networks—0
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