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

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Showing 1151–1200 of 4891 papers

TitleStatusHype
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Graph neural networks informed locally by thermodynamicsCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
Granular Ball Twin Support Vector MachineCode0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and LinesCode0
Accelerating Distributed Deep Learning using Lossless Homomorphic CompressionCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
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
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution PredictionCode0
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