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 1351–1375 of 4891 papers

TitleStatusHype
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
Accelerated Alternating Projections for Robust Principal Component AnalysisCode0
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
Learning Directly from Grammar Compressed TextCode0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal TransportCode0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified