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 1101–1150 of 4891 papers

TitleStatusHype
A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams—0
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-ResolutionCode2
A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services—0
Flash Window Attention: speedup the attention computation for Swin TransformerCode1
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement LearningCode0
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning—0
GenMol: A Drug Discovery Generalist with Discrete Diffusion—0
Universal-2-TF: Robust All-Neural Text Formatting for ASR—0
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics—0
FLowHigh: Towards Efficient and High-Quality Audio Super-Resolution with Single-Step Flow MatchingCode2
HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI DataCode0
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA—0
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis—0
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection—0
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images—0
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media—0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono—0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network OptimizationCode0
The Power of Negative Zero: Datatype Customization for Quantized Large Language ModelsCode0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
LightGNN: Simple Graph Neural Network for RecommendationCode2
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models—0
GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection—0
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
KM-UNet KAN Mamba UNet for medical image segmentationCode1
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit—0
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language ModelsCode2
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso—0
Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction—0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes—0
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data—0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training—0
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsCode1
VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo AlignmentCode2
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection—0
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models—0
Less is More: Efficient Image Vectorization with Adaptive Parameterization—0
Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level TasksCode0
ACL: Activating Capability of Linear Attention for Image Restoration—0
V2V3D: View-to-View Denoised 3D Reconstruction for Light Field Microscopy—0
GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified