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

Showing 451475 of 4891 papers

TitleStatusHype
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
Five A^+ Network: You Only Need 9K Parameters for Underwater Image EnhancementCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
M^3amba: CLIP-driven Mamba Model for Multi-modal Remote Sensing ClassificationCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
Anytime Sampling for Autoregressive Models via Ordered AutoencodingCode1
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
MatIR: A Hybrid Mamba-Transformer Image Restoration ModelCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Fast TreeSHAP: Accelerating SHAP Value Computation for TreesCode1
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
featsel: A framework for benchmarking of feature selection algorithms and cost functionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified