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 3101–3125 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified