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 1151–1175 of 4891 papers

TitleStatusHype
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
Generative Archimedean CopulasCode0
Supervised Dimensionality Reduction for Big DataCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and LinesCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Accelerating Distributed Deep Learning using Lossless Homomorphic CompressionCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution PredictionCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Functional Autoencoder for Smoothing and Representation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified