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 4201–4250 of 4891 papers

TitleStatusHype
Multi-frequency calibration for DOA estimation with distributed sensors—0
Improving STDP-based Visual Feature Learning with Whitening—0
Multi-objective beetle antennae search algorithm—0
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic ProgrammingCode0
Asymptotic Linearity of Consumption Functions and Computational Efficiency—0
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
Distributed Sketching Methods for Privacy Preserving Regression—0
Fast Fair Regression via Efficient Approximations of Mutual InformationCode0
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
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
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Curvature Regularized Surface Reconstruction from Point Cloud—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
P^2-GAN: Efficient Style Transfer Using Single Style ImageCode0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Adaptive Direction-Guided Structure Tensor Total Variation—0
A lightweight target detection algorithm based on Mobilenet Convolution—0
One-Shot Coordination of First and Last Mode Transportation—0
Online Continual Learning from Imbalanced Data—0
On the Iteration Complexity of Hypergradient Computations—0
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory—0
Active Learning in Video Tracking—0
Structural plasticity on an accelerated analog neuromorphic hardware system—0
TRADI: Tracking deep neural network weight distributions for uncertainty estimation—0
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
A posteriori Trading-inspired Model-free Time Series Segmentation—0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization—0
CHIRRUP: a practical algorithm for unsourced multiple access—0
Randomized Exploration for Non-Stationary Stochastic Linear BanditsCode0
MDFN: Multi-Scale Deep Feature Learning Network for Object Detection—0
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features—0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
Value-of-Information based Arbitration between Model-based and Model-free Control—0
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback—0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Learning Positive Functions with Pseudo Mirror Descent—0
Singleshot : a scalable Tucker tensor decomposition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified