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 1451–1475 of 4891 papers

TitleStatusHype
Finding Influential Training Samples for Gradient Boosted Decision TreesCode0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy InterpolationCode0
DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic ModelsCode0
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement LearningCode0
Data-to-Model Distillation: Data-Efficient Learning FrameworkCode0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer PruningCode0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
Federated Learning for Time-Series Healthcare Sensing with Incomplete ModalitiesCode0
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational EfficiencyCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissueCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshotsCode0
Feed-Forward Optimization With Delayed Feedback for Neural NetworksCode0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit DistanceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified