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

Showing 501550 of 4891 papers

TitleStatusHype
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring0
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes0
Gradient-based Sample Selection for Faster Bayesian Optimization0
V2V3D: View-to-View Denoised 3D Reconstruction for Light-Field Microscopy0
Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency0
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology0
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language ModelsCode0
Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision SystemCode0
Regret Bounds for Robust Online Decision Making0
Distilling Textual Priors from LLM to Efficient Image FusionCode0
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Density Approximation of Affine Jump Diffusions via Closed-Form Moment Matching0
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration StrategyCode0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care0
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians0
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-IIICode3
Robo-taxi Fleet Coordination at Scale via Reinforcement LearningCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
Hybrid Temporal Differential Consistency Autoencoder for Efficient and Sustainable Anomaly Detection in Cyber-Physical Systems0
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation0
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs0
Neural network-enhanced integrators for simulating ordinary differential equations0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark0
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand UncertaintyCode0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
Loss Functions in Deep Learning: A Comprehensive Review0
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework0
Hybrid Real- and Complex-valued Neural Network Architecture0
On the Connection Between Diffusion Models and Molecular Dynamics0
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval0
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
RWKVTTS: Yet another TTS based on RWKV-7Code2
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework0
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data0
Towards Assessing Deep Learning Test Input Generators0
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning0
Re-thinking Temporal Search for Long-Form Video UnderstandingCode2
Analytical Discovery of Manifold with Machine Learning0
Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationCode2
Improving Harmful Text Detection with Joint Retrieval and External Knowledge0
A Sensorimotor Vision Transformer0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified