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 3101–3150 of 4891 papers

TitleStatusHype
Resurrecting Recurrent Neural Networks for Long SequencesCode1
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Scattering and Gathering for Spatially Varying Blurs—0
A pseudo-likelihood approach to community detection in weighted networks—0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationCode1
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression—0
A robust method for reliability updating with equality information using sequential adaptive importance sampling—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
Scatter-based common spatial patterns -- a unified spatial filtering framework—0
Fast Latent Factor Analysis via a Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm—0
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
TMHOI: Translational Model for Human-Object Interaction Detection—0
Iterative Approximate Cross-ValidationCode0
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition—0
CAMEL: Curvature-Augmented Manifold Embedding and Learning—0
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees—0
Switched Lyapunov Function based Controller Synthesis for Networked Control Systems: A Computationally Inexpensive Approach—0
Efficient Explorative Key-term Selection Strategies for Conversational Contextual BanditsCode0
The Virtues of Laziness in Model-based RL: A Unified Objective and AlgorithmsCode0
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping—0
U-Statistics for Importance-Weighted Variational Inference—0
Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear DynamicsCode0
Suitability of Quantized DEVS LIM Methods for Simulation of Power Systems—0
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural NetworkCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationCode0
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
Transformers in Single Object Tracking: An Experimental Survey—0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation—0
Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra—0
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshotsCode0
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency—0
A comparative study of human inverse kinematics techniques for lower limbs—0
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator—0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems—0
A Novel Noise Injection-based Training Scheme for Better Model Robustness—0
Creating generalizable downstream graph models with random projections—0
Local Causal Discovery for Estimating Causal EffectsCode1
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and DeploymentCode0
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model—0
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsCode0
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models—0
Learning to Select Pivotal Samples for Meta Re-weightingCode0
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes—0
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data ImputationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified