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 3501–3550 of 4891 papers

TitleStatusHype
Merging Classification Predictions with Sequential Information for Lightweight Visual Place Recognition in Changing Environments—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network—0
Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis—0
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph—0
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods—0
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training—0
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 Speedup—0
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets—0
Prompt-driven efficient Open-set Semi-supervised Learning—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Machine Learning for Improved Gas Network Models in Coordinated Energy Systems—0
Sampling Constrained Continuous Probability Distributions: A Review—0
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator—0
A Simple Strategy to Provable Invariance via Orbit Mapping—0
DeepVol: Volatility Forecasting from High-Frequency Data with Dilated Causal Convolutions—0
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance—0
Neural Generalized Ordinary Differential Equations with Layer-varying ParametersCode0
Random Fourier Features for Asymmetric Kernels—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology—0
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer—0
Optimization of Rocker-Bogie Mechanism using Heuristic Approaches—0
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud RepresentationCode0
A Non-Parametric Bootstrap for Spectral Clustering—0
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning—0
Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures—0
Multitask Learning via Shared Features: Algorithms and Hardness—0
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training—0
Optimistic Optimization of Gaussian Process Samples—0
Latent Similarity Identifies Important Functional Connections for Phenotype PredictionCode0
A Consistent ICM-based χ^2 Specification Test—0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints—0
Complexity-Driven CNN Compression for Resource-constrained Edge AI—0
Multi-Resolution Subspace-Based Optimization Method for the Retrieval of 2D Perfect Electric Conductors—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Towards Efficient Capsule NetworksCode0
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature SharingCode0
Learning-based estimation of in-situ wind speed from underwater acoustics—0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
ARES: An Efficient Algorithm with Recurrent Evaluation and Sampling-Driven Inference for Maximum Independent Set—0
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram—0
An Algorithm-Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers—0
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks—0
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework—0
Are Gradients on Graph Structure Reliable in Gray-box Attacks?Code0
Robust Graph Neural Networks using Weighted Graph LaplacianCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified