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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

Showing 125 of 37 papers

TitleStatusHype
A Survey on Dynamic Neural Networks: from Computer Vision to Multi-modal Sensor FusionCode1
DyFADet: Dynamic Feature Aggregation for Temporal Action DetectionCode1
Dynamic DNNs and Runtime Management for Efficient Inference on Mobile/Embedded DevicesCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
Temporal Domain Generalization with Drift-Aware Dynamic Neural NetworksCode1
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck ApproachCode1
Dynamic Dual Gating Neural NetworksCode1
Parametric Taylor series based latent dynamics identification neural networks0
An Introduction to Cognidynamics0
Neuroevolving Electronic Dynamical Networks0
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference0
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 Networks0
Monadic Deep Learning0
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization0
Stock Price Prediction using Dynamic Neural Networks0
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master0
GradMDM: Adversarial Attack on Dynamic Networks0
Fixing Overconfidence in Dynamic Neural NetworksCode0
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines0
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection0
Boosted Dynamic Neural NetworksCode0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information0
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks0
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