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

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Showing 1351–1400 of 4891 papers

TitleStatusHype
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive controlCode2
Deep Plug-and-Play HIO Approach for Phase Retrieval—0
Controlling Participation in Federated Learning with FeedbackCode0
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary ClassificationCode0
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments—0
RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Model—0
On the Effectiveness of Incremental Training of Large Language ModelsCode0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
Randomized-Grid Search for Hyperparameter Tuning in Decision Tree Model to Improve Performance of Cardiovascular Disease Classification—0
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization—0
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
Spatio-temporal Causal Learning for Streamflow Forecasting—0
Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningCode0
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates—0
Efficient Deployment of Transformer Models in Analog In-Memory Computing HardwareCode0
Star Attention: Efficient LLM Inference over Long SequencesCode3
Perceptually Optimized Super Resolution—0
On the Efficiency of NLP-Inspired Methods for Tabular Deep LearningCode3
UVCG: Leveraging Temporal Consistency for Universal Video Protection—0
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization—0
VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics PredictionCode1
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression—0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Dynamic Causal Models of Time-Varying Connectivity—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
Efficient Ternary Weight Embedding Model: Bridging Scalability and PerformanceCode0
LDM-Morph: Latent diffusion model guided deformable image registrationCode1
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
Fast High-Quality Enhanced Imaging Algorithm for Layered Dielectric Targets Based on MMW MIMO-SAR System—0
MambaIRv2: Attentive State Space RestorationCode5
Global spatio-temporal downscaling of ERA5 precipitation through generative AI—0
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
Comparative Study of Neural Network Methods for Solving Topological Solitons—0
Recursive Gaussian Process State Space ModelCode1
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
A New Way: Kronecker-Factored Approximate Curvature Deep Hedging and its BenefitsCode0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net—0
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline—0
Analytical Formula for Fractional-Order Conditional Moments of Nonlinear Drift CEV Process with Regime Switching: Hybrid Approach with Applications—0
Variational Autoencoders for Efficient Simulation-Based Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified