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 1401–1450 of 4891 papers

TitleStatusHype
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime—0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Pathology Image Compression with Pre-trained Autoencoders—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
Distance-Based Tree-Sliced Wasserstein DistanceCode0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
Low-Rank Matrix Regression via Least-Angle Regression—0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
Meta-learning characteristics and dynamics of quantum systems—0
Lightweight Models for Emotional Analysis in VideoCode0
HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings—0
Distilling Diversity and Control in Diffusion Models—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
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage—0
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers—0
Reliable Solution to Dynamic Optimization Problems using Integrated Residual Regularized Direct Collocation—0
TPDiff: Temporal Pyramid Video Diffusion Model—0
MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
Federated Smoothing ADMM for Localization—0
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
Revisiting Frank-Wolfe for Structured Nonconvex Optimization—0
How Well Can Differential Privacy Be Audited in One Run?—0
Adaptive Extensive Cancellation Algorithm and Harmonic Enhanced Heart Rate Estimation based on MMWave Radar—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
Discrete Gaussian Process Representations for Optimising UAV-based Precision Weed Mapping—0
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
A Unified View of Optimal Kernel Hypothesis Testing—0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Skelite: Compact Neural Networks for Efficient Iterative SkeletonizationCode0
ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting—0
Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking—0
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending—0
Seesaw: High-throughput LLM Inference via Model Re-sharding—0
Joint Location and Velocity Estimation and Fundamental CRLB Analysis for Cell-Free MIMO-ISAC—0
Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs—0
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models—0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques—0
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token EncodingsCode0
Steerable Pyramid Weighted Loss: Multi-Scale Adaptive Weighting for Semantic Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified