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 701–750 of 4891 papers

TitleStatusHype
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Scalable Global Solution Techniques for High-Dimensional Models in Dynare—0
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
Distance-Based Tree-Sliced Wasserstein DistanceCode0
Pathology Image Compression with Pre-trained Autoencoders—0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage—0
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques—0
Evaluating a Novel Neuroevolution and Neural Architecture Search System—0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
RoMA: Scaling up Mamba-based Foundation Models for Remote SensingCode2
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers—0
HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings—0
Lightweight Models for Emotional Analysis in VideoCode0
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model RepresentationsCode2
Low-Rank Matrix Regression via Least-Angle Regression—0
Meta-learning characteristics and dynamics of quantum systems—0
Distilling Diversity and Control in Diffusion Models—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method—0
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
TPDiff: Temporal Pyramid Video Diffusion Model—0
MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions—0
Federated Smoothing ADMM for Localization—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Reliable Solution to Dynamic Optimization Problems using Integrated Residual Regularized Direct Collocation—0
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive ApplicationsCode1
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
Revisiting Frank-Wolfe for Structured Nonconvex Optimization—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending—0
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer—0
MC-GRU:a Multi-Channel GRU network for generalized nonlinear structural response prediction across structures—0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking—0
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting—0
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language ModelsCode1
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
Adaptive Extensive Cancellation Algorithm and Harmonic Enhanced Heart Rate Estimation based on MMWave Radar—0
Skelite: Compact Neural Networks for Efficient Iterative SkeletonizationCode0
A Unified View of Optimal Kernel Hypothesis Testing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified