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 1626–1650 of 4891 papers

TitleStatusHype
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