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 1151–1200 of 4891 papers

TitleStatusHype
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations—0
Mixed Bernstein-Fourier Approximants for Optimal Trajectory Generation with Periodic Behavior—0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening—0
On the workflow, opportunities and challenges of developing foundation model in geophysics—0
Towards Robust LLMs: an Adversarial Robustness Measurement FrameworkCode0
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems—0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Precision Neural Network Quantization via Learnable Adaptive Modules—0
Hyper-Transforming Latent Diffusion Models—0
An Accelerated Camera 3DMA Framework for Efficient Urban GNSS Multipath Estimation—0
Improving Significant Wave Height Prediction Using Chronos Models—0
SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains—0
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning—0
A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained SettingsCode0
LLMs meet Federated Learning for Scalable and Secure IoT Management—0
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion—0
Observability conditions for neural state-space models with eigenvalues and their roots of unity—0
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models—0
Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization—0
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation—0
Simulating biochemical reactions: The Linear Noise Approximation can capture non-linear dynamics—0
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
Neural ATTF: A Scalable Solution to Lifelong Multi-Agent Path Planning—0
When Cloud Removal Meets Diffusion Model in Remote Sensing—0
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning ModelCode0
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