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 4701–4750 of 4891 papers

TitleStatusHype
GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection—0
Graph Deep Factors for Forecasting—0
GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs—0
Graph Guided Diffusion: Unified Guidance for Conditional Graph Generation—0
Label Efficient Regularization and Propagation for Graph Node Classification—0
Graphlets correct for the topological information missed by random walks—0
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty—0
Graph Neural Network Enabled Pinching Antennas—0
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets—0
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards—0
Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems—0
Graph Probability Aggregation Clustering—0
Graph Reduction with Unsupervised Learning in Column Generation: A Routing Application—0
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks—0
Graph sampling for node embedding—0
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs—0
Graph signal processing for machine learning: A review and new perspectives—0
GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm—0
GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models—0
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Data—0
Grid Evolution for Doubly Fractional Channel Estimation in OTFS Systems—0
Ground-based image deconvolution with Swin Transformer UNet—0
Group Sparse Coding—0
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs—0
Guaranteed-Safe MPPI Through Composite Control Barrier Functions for Efficient Sampling in Multi-Constrained Robotic Systems—0
Guaranteed Trust Region Optimization via Two-Phase KL Penalization—0
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models—0
HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats—0
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
Hadamard product in deep learning: Introduction, Advances and Challenges—0
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games—0
Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks—0
Hardware Compliant Approximate Image Codes—0
Harmonic Path Integral Diffusion—0
Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part I: Modelling Framework and Algorithm—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
Heat Kernel Goes Topological—0
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation—0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning—0
Heuristic Deep Reinforcement Learning for Phase Shift Optimization in RIS-assisted Secure Satellite Communication Systems with RSMA—0
Heuristics for vehicle routing problems: Sequence or set optimization?—0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models—0
Hierarchical Lexical Manifold Projection in Large Language Models: A Novel Mechanism for Multi-Scale Semantic Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified