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 3501–3550 of 4891 papers

TitleStatusHype
Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing—0
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning—0
Long-term simulation of physical and mechanical behaviors using curriculum-transfer-learning based physics-informed neural networks—0
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory—0
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach—0
Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions—0
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
Loss Functions in Deep Learning: A Comprehensive Review—0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game—0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20 Speedup—0
Low-Rank Contextual Reinforcement Learning from Heterogeneous Human Feedback—0
Low-Rank Matrix Regression via Least-Angle Regression—0
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology—0
Low Rank Training of Deep Neural Networks for Emerging Memory Technology—0
Low-Resolution Neural Networks—0
Low Resource Quadratic Forms for Knowledge Graph Embeddings—0
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling—0
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization—0
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack—0
L-SR1 Adaptive Regularization by Cubics for Deep Learning—0
LSTM-based model predictive control with discrete inputs for irrigation scheduling—0
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework—0
Machine Learned Force Fields: Fundamentals, its reach, and challenges—0
Machine Learning Accelerated PDE Backstepping Observers—0
Machine learning and domain decomposition methods -- a survey—0
Machine learning-assisted surrogate construction for full-core fuel performance analysis—0
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics—0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
Machine learning enables long time scale molecular photodynamics simulations—0
Machine Learning for Improved Gas Network Models in Coordinated Energy Systems—0
Machine Learning for Large-Scale Optimization in 6G Wireless Networks—0
Machine learning for structure-property relationships: Scalability and limitations—0
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra—0
Machine learning surrogate models of many-body dispersion interactions in polymer melts—0
Machine learning surrogates for efficient hydrologic modeling: Insights from stochastic simulations of managed aquifer recharge—0
Machine Unlearning for Medical Imaging—0
MAGNEx: A Model Agnostic Global Neural Explainer—0
Majorization-Minimization Dual Stagewise Algorithm for Generalized Lasso—0
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis—0
Make Both Ends Meet: A Synergistic Optimization Infrared Small Target Detection with Streamlined Computational Overhead—0
MAKIMA: Tuning-free Multi-Attribute Open-domain Video Editing via Mask-Guided Attention Modulation—0
MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning—0
MambaByte: Token-free Selective State Space Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified