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 1451–1475 of 4891 papers

TitleStatusHype
A Survey on Kolmogorov-Arnold Network—0
LSSInst: Improving Geometric Modeling in LSS-Based BEV Perception with Instance RepresentationCode1
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storageCode3
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine—0
Physics-constrained coupled neural differential equations for one dimensional blood flow modelingCode0
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning—0
Mitigating Stop-and-Go Traffic Congestion with Operator Learning—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Benchmarking Large Language Models with Integer Sequence Generation Tasks—0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Multi-language Video Subtitle Dataset for Image-based Text Recognition—0
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation—0
Robust and Fast Bass local volatility—0
Energy-based physics-informed neural network for frictionless contact problems under large deformationCode1
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion—0
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PCCode1
Reconsidering the Performance of GAE in Link PredictionCode1
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
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception—0
Privacy-Preserving Graph-Based Machine Learning with Fully Homomorphic Encryption for Collaborative Anti-Money LaunderingCode1
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving—0
You are out of context!—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified