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 4751–4800 of 4891 papers

TitleStatusHype
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
RDI-Net: Relational Dynamic Inference NetworksCode0
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip StatisticsCode0
Towards More Robust Interpretation via Local Gradient AlignmentCode0
Novel Deep Neural OFDM Receiver Architectures for LLR EstimationCode0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided EmbeddingCode0
Attentional Correlation Filter Network for Adaptive Visual TrackingCode0
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating RoomCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
A Triple-Inertial Accelerated Alternating Optimization Method for Deep Learning TrainingCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image GenerationCode0
Skeleton-based Gesture Recognition Using Several Fully Connected Layers with Path Signature Features and Temporal Transformer ModuleCode0
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited StalenessCode0
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather ConditionsCode0
Exploring the effects of robotic design on learning and neural controlCode0
Depth-Based Object Tracking Using a Robust Gaussian FilterCode0
Skelite: Compact Neural Networks for Efficient Iterative SkeletonizationCode0
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsCode0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
Real-Time Tea Leaf Disease Detection Using Deep Learning-Based ModelsCode0
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means ClusteringCode0
Real-Time Weather Image Classification with SVMCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural NetworksCode0
Native Language Identification with Big Bird EmbeddingsCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning ModelCode0
A Multiscale Environment for Learning by DiffusionCode0
A Transformer Framework for Data Fusion and Multi-Task Learning in Smart CitiesCode0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
Randomized Exploration for Non-Stationary Stochastic Linear BanditsCode0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural NetworksCode0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
SkipSNN: Efficiently Classifying Spike Trains with Event-attentionCode0
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud DetectionCode0
Reconstruction of three-dimensional porous media using generative adversarial neural networksCode0
Recovering BanditsCode0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified