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 476–500 of 4891 papers

TitleStatusHype
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
CAMP: Collaborative Attention Model with Profiles for Vehicle Routing ProblemsCode1
FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV TrackingCode1
Model Editing by Standard Fine-TuningCode1
Model Predictive Control for Signal Temporal Logic Specifications with Time Interval DecompositionCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion InferenceCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
MotionBEV: Attention-Aware Online LiDAR Moving Object Segmentation with Bird's Eye View based Appearance and Motion FeaturesCode1
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer ApproachCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series ForecastingCode1
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shiftingCode1
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified