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

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Showing 3951–4000 of 4891 papers

TitleStatusHype
Parallel multi-objective metaheuristics for smart communications in vehicular networks—0
Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications—0
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing—0
Partial Transport for Point-Cloud Registration—0
Partitioned Active Learning for Heterogeneous Systems—0
Partitioning sparse deep neural networks for scalable training and inference—0
Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching—0
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy—0
Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation—0
Pathology Image Compression with Pre-trained Autoencoders—0
PCAC-GAN: A Sparse-Tensor-Based Generative Adversarial Network for 3D Point Cloud Attribute Compression—0
Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation—0
Perceptually Optimized Super Resolution—0
Perfecting Liquid-State Theories with Machine Intelligence—0
Performance evaluation of Reddit Comments using Machine Learning and Natural Language Processing methods in Sentiment Analysis—0
Performance of Image Registration Tools on High-Resolution 3D Brain Images—0
Permutation-based multi-objective evolutionary feature selection for high-dimensional data—0
Personalize Anything for Free with Diffusion Transformer—0
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis—0
Phased Microphone Array for Sound Source Localization with Deep Learning—0
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models—0
Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction—0
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization—0
Phenomenological Model of Superconducting Optoelectronic Loop Neurons—0
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising—0
PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics—0
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling—0
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples—0
Physics and Derivatives: Effective-Potential Path-Integral Approximations of Arrow-Debreu Densities—0
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis—0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping—0
A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation—0
PI-Controlled Variable Time-Step Power System Simulation Using an Adaptive Order Differential Transformation Method—0
Pilot Contamination Aware Transformer for Downlink Power Control in Cell-Free Massive MIMO Networks—0
PI-NLF: A Proportional-Integral Approach for Non-negative Latent Factor Analysis—0
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction—0
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation—0
Place Cells as Proximity-Preserving Embeddings: From Multi-Scale Random Walk to Straight-Forward Path Planning—0
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion—0
PlaceNav: Topological Navigation through Place Recognition—0
Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage—0
Plastic Waste Classification Using Deep Learning: Insights from the WaDaBa Dataset—0
Pixel super-resolved lensless on-chip sensor with scattering multiplexing—0
Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries—0
PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction—0
PODNO: Proper Orthogonal Decomposition Neural Operators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified