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 1351–1400 of 4891 papers

TitleStatusHype
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Learning a Neural 3D Texture Space from 2D ExemplarsCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame SelectorCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Learning Efficient Representations of Neutrino Telescope EventsCode0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration PitfallsCode0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Learning to Reach Goals via DiffusionCode0
Least Squares Approximation for a Distributed SystemCode0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
Accelerated Alternating Projections for Robust Principal Component AnalysisCode0
Flexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential MarketsCode0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Free Parametrization of L2-bounded State Space ModelsCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systemsCode0
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse HypergraphsCode0
Fast and Accurate Amplitude Demodulation of Wideband SignalsCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient NoiseCode0
Deep convolutional neural network for shape optimization using level-set approachCode0
Linear Algorithms for Robust and Scalable Nonparametric Multiclass Probability EstimationCode0
Efficient State Space Model via Fast Tensor Convolution and Block DiagonalizationCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identificationCode0
Finding Influential Training Samples for Gradient Boosted Decision TreesCode0
FGP: Feature-Gradient-Prune for Efficient Convolutional Layer PruningCode0
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement LearningCode0
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy InterpolationCode0
A Survey on Prompt TuningCode0
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement LearningCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated FeaturesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified