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 1201–1250 of 4891 papers

TitleStatusHype
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
Block building programming for symbolic regression—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
Dynamic Model of Back-to-Back Converter for System-Level Phasor Simulation—0
Black-box Optimization with Simultaneous Statistical Inference for Optimal Performance—0
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields—0
An Efficient FPGA Accelerator for Point Cloud—0
BitNet b1.58 2B4T Technical Report—0
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses—0
Accelerating the discovery of low-energy structure configurations: a computational approach that integrates first-principles calculations, Monte Carlo sampling, and Machine Learning—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information—0
An Efficient Approach to Encoding Context for Spoken Language Understanding—0
Adaptive Sampling for Continuous Group Equivariant Neural Networks—0
2.5D Super-Resolution Approaches for X-ray Computed Tomography-based Inspection of Additively Manufactured Parts—0
Dynamic Flow Equilibrium of Transportation and Power Distribution Networks Considering Flexible Traveling Choices and Voltage Quality Improvement—0
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Dynamic Causal Models of Time-Varying Connectivity—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Bioinspired Cortex-based Fast Codebook Generation—0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
Bi-l0-l2-Norm Regularization for Blind Motion Deblurring—0
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
An Autonomous Vision-Based Algorithm for Interplanetary Navigation—0
Bidirectional Long-Range Parser for Sequential Data Understanding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified