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 1176–1200 of 4891 papers

TitleStatusHype
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Supervised Dimensionality Reduction for Big DataCode0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
GCSAM: Gradient Centralized Sharpness Aware MinimizationCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion ModelsCode0
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer EvaluationsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Federated Hybrid Model Pruning through Loss Landscape ExplorationCode0
Scaling Video Analytics on Constrained Edge NodesCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
Studying K-FAC Heuristics by Viewing Adam through a Second-Order LensCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified