SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4151–4200 of 4891 papers

TitleStatusHype
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking—0
Semantic Segmentation of Underwater Imagery: Dataset and BenchmarkCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model—0
Deep reinforcement learning for large-scale epidemic controlCode1
Coping With Simulators That Don't Always ReturnCode0
Multi-target regression via output space quantization—0
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix—0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
On the Radiality Constraints for Distribution System Restoration and Reconfiguration Problems—0
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural NetworksCode1
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching—0
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive HandsCode1
Energy-efficient and Robust Cumulative Training with Net2Net Transformation—0
Learning Directly from Grammar Compressed TextCode0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models—0
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems—0
Multi-frequency calibration for DOA estimation with distributed sensors—0
Complete Dictionary Learning via _p-norm MaximizationCode1
Multi-objective beetle antennae search algorithm—0
Improving STDP-based Visual Feature Learning with Whitening—0
Asymptotic Linearity of Consumption Functions and Computational Efficiency—0
Transformer Hawkes ProcessCode1
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic ProgrammingCode0
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients—0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
Residual Bootstrap Exploration for Bandit Algorithms—0
Langevin DQNCode0
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
Distributed Sketching Methods for Privacy Preserving Regression—0
Fast Fair Regression via Efficient Approximations of Mutual InformationCode0
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach—0
Development of modeling and control strategies for an approximated Gaussian process—0
Learning Flat Latent Manifolds with VAEs—0
Improving the affordability of robustness training for DNNs—0
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Distance Metric Learning for Graph Structured DataCode0
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net—0
3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration AlgorithmCode1
AMR Similarity Metrics from PrinciplesCode1
stream-learn -- open-source Python library for difficult data stream batch analysisCode1
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
Curvature Regularized Surface Reconstruction from Point Cloud—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified