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 576600 of 4891 papers

TitleStatusHype
Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental EvaluationCode1
Cached Multi-Lora Composition for Multi-Concept Image GenerationCode1
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
Activation-Informed Merging of Large Language ModelsCode1
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order ConnectivityCode1
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual NavigationCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
AI Accelerator Survey and TrendsCode1
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image ClassificationCode1
Complete Dictionary Learning via _p-norm MaximizationCode1
Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISACCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion InferenceCode1
Improved Techniques for Training Adaptive Deep NetworksCode1
Improving Facade Parsing with Vision Transformers and Line IntegrationCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified