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 4801–4850 of 4891 papers

TitleStatusHype
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
CIRO: COVID-19 infection risk ontologyCode0
Recurrent Localization Networks applied to the Lippmann-Schwinger EquationCode0
Slicing the Gaussian Mixture Wasserstein DistanceCode0
Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold NetworksCode0
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural NetworksCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Neural Generalized Ordinary Differential Equations with Layer-varying ParametersCode0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
Estimating Time-Varying Graphical ModelsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Towards Robust LLMs: an Adversarial Robustness Measurement FrameworkCode0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
Ensemble Prediction via Covariate-dependent StackingCode0
Language Models with TransformersCode0
Neural Multigrid Memory For Computational Fluid DynamicsCode0
Neural Multisensory Scene InferenceCode0
Neural Network Activation Quantization with Bitwise Information BottlenecksCode0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single CameraCode0
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd CountingCode0
Neural Network Pruning by Gradient DescentCode0
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)Code0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field ModelCode0
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance RankingCode0
AdaBatch: Adaptive Batch Sizes for Training Deep Neural NetworksCode0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
Refining a -nearest neighbor graph for a computationally efficient spectral clusteringCode0
Refining Salience-Aware Sparse Fine-Tuning Strategies for Language ModelsCode0
Adjusted chi-square test for degree-corrected block modelsCode0
Graph-Based Representation Learning of Neuronal Dynamics and BehaviorCode0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
Fast and Accurate Amplitude Demodulation of Wideband SignalsCode0
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTMCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
A tensor network approach for chaotic time series predictionCode0
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard ModelCode0
Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic GamesCode0
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization TasksCode0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image SegmentationCode0
Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM InferenceCode0
A differentiable programming framework for spin modelsCode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified