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