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 3301–3325 of 4891 papers

TitleStatusHype
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
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingCode1
Prompt-driven efficient Open-set Semi-supervised Learning—0
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Sampling Constrained Continuous Probability Distributions: A Review—0
Machine Learning for Improved Gas Network Models in Coordinated Energy Systems—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
Neural Generalized Ordinary Differential Equations with Layer-varying ParametersCode0
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance—0
HiPart: Hierarchical Divisive Clustering ToolboxCode1
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
Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures—0
Non-iterative generation of an optimal mesh for a blade passage using deep reinforcement learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified