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 3501–3525 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified