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

Showing 33513400 of 4891 papers

TitleStatusHype
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
A robust method for reliability updating with equality information using sequential adaptive importance sampling0
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods0
Fast Latent Factor Analysis via a Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm0
TMHOI: Translational Model for Human-Object Interaction Detection0
Scatter-based common spatial patterns -- a unified spatial filtering framework0
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition0
Iterative Approximate Cross-ValidationCode0
CAMEL: Curvature-Augmented Manifold Embedding and Learning0
Data Association Aware POMDP Planning with Hypothesis Pruning Performance Guarantees0
Switched Lyapunov Function based Controller Synthesis for Networked Control Systems: A Computationally Inexpensive Approach0
The Virtues of Laziness in Model-based RL: A Unified Objective and AlgorithmsCode0
Efficient Explorative Key-term Selection Strategies for Conversational Contextual BanditsCode0
U-Statistics for Importance-Weighted Variational Inference0
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping0
Suitability of Quantized DEVS LIM Methods for Simulation of Power Systems0
Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear DynamicsCode0
Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural NetworkCode0
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
Transformers in Single Object Tracking: An Experimental Survey0
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation0
Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra0
Refining a k-nearest neighbor graph for a computationally efficient spectral clusteringCode0
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 Efficiency0
A comparative study of human inverse kinematics techniques for lower limbs0
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems0
A Novel Noise Injection-based Training Scheme for Better Model Robustness0
Creating generalizable downstream graph models with random projections0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination0
Fast and Blind Speech Copy-Move Detection and Localization in Noise0
Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model0
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution ShiftsCode0
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and DeploymentCode0
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models0
Learning to Select Pivotal Samples for Meta Re-weightingCode0
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes0
A Fast Bootstrap Algorithm for Causal Inference with Large DataCode0
Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trust0
Efficient End-to-End Video Question Answering with Pyramidal Multimodal TransformerCode0
Diffusion Models for High-Resolution Solar Forecasts0
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement LearningCode0
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)0
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose0
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game0
Approximating DTW with a convolutional neural network on EEG data0
Optimizing a Bayesian method for estimating the Hurst exponent in behavioral sciences0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified