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 4001–4050 of 4891 papers

TitleStatusHype
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space—0
PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis—0
Polariton lattices as binarized neuromorphic networks—0
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator—0
Scrap Your Schedules with PopDescent—0
Portfolio Optimization with Entropic Value-at-Risk—0
PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises—0
Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder—0
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation—0
Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification—0
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions—0
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers—0
Practical Topics in Optimization—0
Precision Neural Network Quantization via Learnable Adaptive Modules—0
Precision-Weighted Federated Learning—0
Precoder Design for User-Centric Network Massive MIMO with Matrix Manifold Optimization—0
Subspace Langevin Monte Carlo—0
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction—0
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective—0
Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network—0
Prediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach—0
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning—0
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks—0
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise—0
Predictive Maintenance for General Aviation Using Convolutional Transformers—0
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining—0
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
Pre-Trained Models: Past, Present and Future—0
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks—0
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering—0
Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning—0
Priority Queue Formulation of Agent-Based Bathtub Model for Network Trip Flows in the Relative Space—0
PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips—0
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns—0
Privacy Preserving Visual SLAM—0
Private PAC Learning May be Harder than Online Learning—0
Private Selection from Private Candidates—0
Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios—0
Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning—0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Oblique Predictive Clustering TreesCode0
Union of Experts: Adapting Hierarchical Routing to Equivalently Decomposed TransformerCode0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
Union Subgraph Neural NetworksCode0
Efficient Ternary Weight Embedding Model: Bridging Scalability and PerformanceCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified