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 1176–1200 of 4891 papers

TitleStatusHype
VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image—0
STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
Mixed-Precision Conjugate Gradient Solvers with RL-Driven Precision Tuning—0
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment—0
Segregation and Context Aggregation Network for Real-time Cloud Segmentation—0
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning—0
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection—0
RAMCT: Novel Region-adaptive Multi-channel Tracker with Iterative Tikhonov Regularization for Thermal Infrared Tracking—0
Efficient Spiking Point Mamba for Point Cloud Analysis—0
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs—0
Efficient algorithms for the Hadamard decompositionCode0
MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework—0
Science Hierarchography: Hierarchical Organization of Science LiteratureCode0
Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring—0
Spike-Kal: A Spiking Neuron Network Assisted Kalman Filter—0
RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
Non-Uniform Class-Wise Coreset Selection: Characterizing Category Difficulty for Data-Efficient Transfer Learning—0
Leave-One-Out Stable Conformal PredictionCode0
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data—0
BitNet b1.58 2B4T Technical Report—0
Learning Transferable Friction Models and LuGre Identification via Physics Informed Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified