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 1951–2000 of 4891 papers

TitleStatusHype
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
Extrinsic Fluctuations in the p53 Cycle—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
Extreme Value k-means Clustering—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Extracting man-made objects from remote sensing images via fast level set evolutions—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
FLAME: Flexible LLM-Assisted Moderation Engine—0
CNN Mixture-of-Depths—0
Anomaly Detection with Tensor Networks—0
FlashMask: Efficient and Rich Mask Extension of FlashAttention—0
Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications—0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
Exploring Tokenization Methods for Multitrack Sheet Music Generation—0
Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features—0
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation—0
Flexible-weighted Chamfer Distance: Enhanced Objective Function for Point Cloud Completion—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
FlexMotion: Lightweight, Physics-Aware, and Controllable Human Motion Generation—0
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping—0
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
An MRC Framework for Semantic Role Labeling—0
Exploring Patterns Behind Sports—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation—0
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR—0
Closed-form Filtering for Non-linear Systems—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Exploiting Estimation Bias in Clipped Double Q-Learning for Continous Control Reinforcement Learning Tasks—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
An Interface Method for Co-simulation of EMT Model and Shifted Frequency EMT Model Based on Rotational Invariance Techniques—0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination—0
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
An Integrated Artificial Intelligence Operating System for Advanced Low-Altitude Aviation Applications—0
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
Forecasting the Forced van der Pol Equation with Frequent Phase Shifts Using Reservoir Computing—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified