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 4176–4200 of 4891 papers

TitleStatusHype
Transformer Hawkes ProcessCode1
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic ProgrammingCode0
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients—0
Gaussian Mixture Reduction with Composite Transportation DivergenceCode0
Residual Bootstrap Exploration for Bandit Algorithms—0
Langevin DQNCode0
πVAE: a stochastic process prior for Bayesian deep learning with MCMCCode1
Distributed Sketching Methods for Privacy Preserving Regression—0
Fast Fair Regression via Efficient Approximations of Mutual InformationCode0
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach—0
Development of modeling and control strategies for an approximated Gaussian process—0
Learning Flat Latent Manifolds with VAEs—0
Improving the affordability of robustness training for DNNs—0
SparseIDS: Learning Packet Sampling with Reinforcement LearningCode1
Object-Adaptive LSTM Network for Real-time Visual Tracking with Adversarial Data Augmentation—0
Distance Metric Learning for Graph Structured DataCode0
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net—0
3-D Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration AlgorithmCode1
AMR Similarity Metrics from PrinciplesCode1
stream-learn -- open-source Python library for difficult data stream batch analysisCode1
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Computing the Feedback Capacity of Finite State Channels using Reinforcement LearningCode0
Curvature Regularized Surface Reconstruction from Point Cloud—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified