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 17511775 of 4891 papers

TitleStatusHype
HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono0
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features0
DehazeGS: Seeing Through Fog with 3D Gaussian Splatting0
A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network OptimizationCode0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models0
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
The Power of Negative Zero: Datatype Customization for Quantized Large Language ModelsCode0
GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection0
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models0
Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction0
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit0
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso0
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes0
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training0
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models0
Task-Driven Fixation Network: An Efficient Architecture with Fixation Selection0
VISTREAM: Improving Computation Efficiency of Visual Streaming Perception via Law-of-Charge-Conservation Inspired Spiking Neural Network0
RivuletMLP: An MLP-based Architecture for Efficient Compressed Video Quality Enhancement0
ACL: Activating Capability of Linear Attention for Image Restoration0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning0
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified