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 1026–1050 of 4891 papers

TitleStatusHype
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under UncertaintyCode0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
Graph neural networks informed locally by thermodynamicsCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Graph Self-Supervised Learning with Learnable Structural and Positional EncodingsCode0
Boundary Graph Neural Networks for 3D SimulationsCode0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point ProcessesCode0
Graph Degree Linkage: Agglomerative Clustering on a Directed GraphCode0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Adaptive Spiral Layers for Efficient 3D Representation Learning on MeshesCode0
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingCode0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified