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 1601–1650 of 4891 papers

TitleStatusHype
Fast Fair Regression via Efficient Approximations of Mutual InformationCode0
CRISP: Hybrid Structured Sparsity for Class-aware Model PruningCode0
Fast CapsNet for Lung Cancer ScreeningCode0
Fast Counting in Machine Learning ApplicationsCode0
Fast Decision Boundary based Out-of-Distribution DetectorCode0
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin AttackCode0
Falcon: Fair Active Learning using Multi-armed BanditsCode0
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing NetworkCode0
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flowCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Faithful Group Shapley ValueCode0
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal RecoveryCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationCode0
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving RegularizationCode0
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction MethodCode0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
Scalable Regularised Joint Mixture ModelsCode0
A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimizationCode0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Exploring Molecule Generation Using Latent Space Graph DiffusionCode0
Exploring the effects of robotic design on learning and neural controlCode0
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural NetworksCode0
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral imagesCode0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
Cortical surface registration using unsupervised learningCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural NetworksCode0
COrAL: Order-Agnostic Language Modeling for Efficient Iterative RefinementCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Coping With Simulators That Don't Always ReturnCode0
Estimating Time-Varying Graphical ModelsCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Ensemble Prediction via Covariate-dependent StackingCode0
Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud DetectionCode0
Are Gradients on Graph Structure Reliable in Gray-box Attacks?Code0
Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningCode0
Converting Transformers into DGNNs FormCode0
Controlling Participation in Federated Learning with FeedbackCode0
End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkCode0
Sequential Monte Carlo Squared for online inference in stochastic epidemic modelsCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
Continual Learning via Online Leverage Score Sampling—0
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified