SOTAVerified

Efficient Neural Network

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 224 papers

TitleStatusHype
Online unsupervised deep unfolding for MIMO channel estimation—0
On the Efficiency of Deep Neural Networks—0
On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective—0
On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems—0
Optimizing Speech Recognition For The Edge—0
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices—0
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration—0
Prediction-Enhanced Monte Carlo: A Machine Learning View on Control Variate—0
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks—0
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning—0
Provably efficient neural network representation for image classification—0
Quantum machine learning for image classification—0
Recurrent neural network approach for cyclic job shop scheduling problem—0
Reinforcement Learning-based Threat Assessment—0
ROBO: Robust, Fully Neural Object Detection for Robot Soccer—0
S^3NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks—0
Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware—0
Scaling the Convex Barrier with Sparse Dual Algorithms—0
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images—0
SeqNet: An Efficient Neural Network for Automatic Malware Detection—0
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance—0
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution—0
SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity—0
SpikePingpong: High-Frequency Spike Vision-based Robot Learning for Precise Striking in Table Tennis Game—0
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks—0
Structured Convolutions for Efficient Neural Network Design—0
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution—0
SWIS -- Shared Weight bIt Sparsity for Efficient Neural Network Acceleration—0
Toward Computation and Memory Efficient Neural Network Acoustic Models with Binary Weights and Activations—0
Enhancing Accuracy and Robustness of Steering Angle Prediction with Attention Mechanism—0
Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Uncertainty Estimates for Efficient Neural Network-based Dialogue Policy Optimisation—0
VQ4ALL: Efficient Neural Network Representation via a Universal Codebook—0
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs—0
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions—0
UnifiedNN: Efficient Neural Network Training on the Cloud—0
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descent—0
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization—0
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups—0
Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation—0
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor—0
Adaptive Sample-space & Adaptive Probability coding: a neural-network based approach for compression—0
Additive regularization schedule for neural architecture search—0
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
An efficient neural-network and finite-difference hybrid method for elliptic interface problems with applications—0
Amortized Bayesian Multilevel Models—0
A New MRAM-based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision—0
A Survey of Quantization Methods for Efficient Neural Network Inference—0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.