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Efficient Neural Network

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Showing 51–75 of 224 papers

TitleStatusHype
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
Extreme Learning Machine-based Channel Estimation in IRS-Assisted Multi-User ISAC System—0
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution—0
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games—0
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression—0
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks—0
Dynamic Spectral Backpropagation for Efficient Neural Network Training—0
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion—0
UnifiedNN: Efficient Neural Network Training on the Cloud—0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Physics-based Indirect Illumination for Inverse Rendering—0
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups—0
Evolutionary Cell Aided Design for Neural Network Architectures—0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Automatic Model Selection for Neural Networks—0
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators—0
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models—0
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring—0
EvoPrompting: Language Models for Code-Level Neural Architecture Search—0
Fast and Accurate Reconstruction of Compressed Color Light Field—0
Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data—0
Deep Learning for Computing Convergence Rates of Markov Chains—0
Additive regularization schedule for neural architecture search—0
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