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 2051–2075 of 4891 papers

TitleStatusHype
Robust and Fast Bass local volatility—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
TDDBench: A Benchmark for Training data detection—0
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
How Analysis Can Teach Us the Optimal Way to Design Neural Operators—0
You are out of context!—0
Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect—0
Flexible Coded Distributed Convolution Computing for Enhanced Fault Tolerance and Numerical Stability in Distributed CNNs—0
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination—0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
An algorithm for two-player repeated games with imperfect public monitoringCode0
Federated Learning with Relative Fairness—0
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles—0
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting OperationCode0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations—0
SANN-PSZ: Spatially Adaptive Neural Network for Head-Tracked Personal Sound Zones—0
ψDAG: Projected Stochastic Approximation Iteration for DAG Structure LearningCode0
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors—0
Meta-Sealing: A Revolutionizing Integrity Assurance Protocol for Transparent, Tamper-Proof, and Trustworthy AI System—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
Leveraging Large Language Models for Medical Information Extraction and Query Generation—0
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified