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 226–250 of 4891 papers

TitleStatusHype
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic SamplingCode1
Spatio-Temporal State Space Model For Efficient Event-Based Optical FlowCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
SDS-Net: Shallow-Deep Synergism-detection Network for infrared small target detectionCode1
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document EmbeddingsCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics DiscoveryCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point CloudsCode1
PATS: Process-Level Adaptive Thinking Mode SwitchingCode1
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
RealEngine: Simulating Autonomous Driving in Realistic ContextCode1
MGStream: Motion-aware 3D Gaussian for Streamable Dynamic Scene ReconstructionCode1
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and InferenceCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
SepPrune: Structured Pruning for Efficient Deep Speech SeparationCode1
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion ModelCode1
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified