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 26–50 of 4891 papers

TitleStatusHype
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Improve Underwater Object Detection through YOLOv12 Architecture and Physics-informed AugmentationCode1
FADRM: Fast and Accurate Data Residual Matching for Dataset DistillationCode1
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and CollisionsCode2
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage—0
TopK Language Models—0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning—0
Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding—0
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos—0
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension—0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
Cooperative Bistatic ISAC Systems for Low-Altitude Economy—0
Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT—0
YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual PerceptionCode5
LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified