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 1426–1450 of 4891 papers

TitleStatusHype
Neural Graph Simulator for Complex Systems—0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases—0
Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance—0
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature IntegrationCode1
Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
Deep Learning Accelerated Quantum Transport Simulations in Nanoelectronics: From Break Junctions to Field-Effect TransistorsCode2
DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic ModelsCode0
Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet EncodingsCode2
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Intelligent Green Efficiency for Intrusion Detection—0
Multimodal Fusion Balancing Through Game-Theoretic Regularization—0
Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning—0
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation—0
Large-scale moral machine experiment on large language modelsCode1
Shallow Signed Distance Functions for Kinematic Collision Bodies—0
Universal on-chip polarization handling with deep photonic networks—0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection—0
Local vs. Global Models for Hierarchical Forecasting—0
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Graph Neural Networks for modelling breast biomechanical compressionCode0
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified