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 1076–1100 of 4891 papers

TitleStatusHype
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Granular Ball Twin Support Vector MachineCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive UncertaintiesCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Analyzing Large Language Models for Classroom Discussion AssessmentCode0
GNNMerge: Merging of GNN Models Without Accessing Training DataCode0
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise RankingCode0
CTR-KAN: KAN for Adaptive High-Order Feature Interaction ModelingCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Scalable Exploration via Ensemble++Code0
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision TransformersCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
GLUSE: Enhanced Channel-Wise Adaptive Gated Linear Units SE for Onboard Satellite Earth Observation Image ClassificationCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
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
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
BERT-LSH: Reducing Absolute Compute For AttentionCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Supervised Dimensionality Reduction for Big DataCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified