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 3951–3975 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified