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 4051–4100 of 4891 papers

TitleStatusHype
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
Sparse Gaussian Process Variational AutoencodersCode0
CIMON: Towards High-quality Hash Codes—0
Multi-Agent Motion Planning using Deep Learning for Space Applications—0
Graph Deep Factors for Forecasting—0
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank EstimationCode0
Sample and Computationally Efficient Stochastic Kriging in High Dimensions—0
How important are faces for person re-identification?—0
Towards human-level performance on automatic pose estimation of infant spontaneous movements—0
Mining Truck Platooning Patterns Through Massive Trajectory Data—0
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits—0
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors—0
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control—0
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceCode0
Episodic Memory for Learning Subjective-Timescale Models—0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-Time—0
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World—0
Event-Driven Receding Horizon Control for Distributed Estimation in Network Systems—0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control—0
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes—0
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks—0
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation—0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Overlapping community detection in networks via sparse spectral decompositionCode0
Improving Spiking Sparse Recovery via Non-Convex Penalties—0
Event-based update of synapses in voltage-based learning rules—0
Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method—0
A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Collaborative Group Learning—0
Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology—0
Isotonic regression with unknown permutations: Statistics, computation, and adaptation—0
Efficiency in Real-time Webcam Gaze Tracking—0
Is the space complexity of planted clique recovery the same as that of detection?—0
Locally induced Gaussian processes for large-scale simulation experiments—0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems—0
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation—0
Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering—0
Adversarial Imitation Learning via Random Search—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Intelligence plays dice: Stochasticity is essential for machine learning—0
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering—0
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting—0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
A Survey on Large-scale Machine LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified