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Efficient Neural Network

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Showing 51–100 of 224 papers

TitleStatusHype
White-to-Black: Efficient Distillation of Black-Box Adversarial AttacksCode0
Distilling Long-tailed DatasetsCode0
Distilled Pruning: Using Synthetic Data to Win the LotteryCode0
Efficient Neural Network CompressionCode0
WeaveNet for Approximating Two-sided Matching ProblemsCode0
Orthogonal Transforms in Neural Networks Amount to Effective RegularizationCode0
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network DesignCode0
Tiny Updater: Towards Efficient Neural Network-Driven Software UpdatingCode0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Vision-based Navigation Using Deep Reinforcement LearningCode0
When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating RoomCode0
QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine OptimizationCode0
Deep Learning for Single Image Super-Resolution: A Brief ReviewCode0
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of ThingsCode0
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning PotentialsCode0
Parametrizing Product Shape Manifolds by Composite NetworksCode0
PGPointNovo: an efficient neural network-based tool for parallel de novo peptide sequencingCode0
Provable Data Subset Selection For Efficient Neural Network TrainingCode0
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity MeasuresCode0
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering SystemsCode0
On Efficient Neural Network Architectures for Image CompressionCode0
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network AccelerationCode0
Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor DecompositionCode0
PANNA 2.0: Efficient neural network interatomic potentials and new architecturesCode0
ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells StatisticsCode0
Rethinking Weight Decay For Efficient Neural Network PruningCode0
Joint Matrix Decomposition for Deep Convolutional Neural Networks CompressionCode0
Learn2Mix: Training Neural Networks Using Adaptive Data IntegrationCode0
Efficient Neural Network Training via Forward and Backward Propagation SparsificationCode0
Harmonic Loss Trains Interpretable AI ModelsCode0
Efficient Neural Network Encoding for 3D Color Lookup TablesCode0
An Efficient Convolutional Neural Network for Coronary Heart Disease PredictionCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural NetworksCode0
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUsCode0
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video ClassificationCode0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural networkCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded SystemsCode0
Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture SearchCode0
Dynamic Spectral Backpropagation for Efficient Neural Network Training—0
cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs—0
An efficient neural-network and finite-difference hybrid method for elliptic interface problems with applications—0
Dynamic Neural Diversification: Path to Computationally Sustainable Neural Networks—0
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compression—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
Double A3C: Deep Reinforcement Learning on OpenAI Gym Games—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
DistIR: An Intermediate Representation and Simulator for Efficient Neural Network Distribution—0
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