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 1126–1150 of 4891 papers

TitleStatusHype
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Adaptive Data Exploitation in Deep Reinforcement LearningCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Bayesian Neural Networks for Genetic Association Studies of Complex DiseaseCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Generative Archimedean CopulasCode0
Fast and Accurate Amplitude Demodulation of Wideband SignalsCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Generalized Random Forests using Fixed-Point TreesCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Bayesian Compression for Deep LearningCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Supervised Dimensionality Reduction for Big DataCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified