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 3401–3450 of 4891 papers

TitleStatusHype
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data—0
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Adversarial Imitation Learning via Random Search—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
Aeroengine performance prediction using a physical-embedded data-driven method—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
A few-shot Label Unlearning in Vertical Federated Learning—0
A Filtering-based General Approach to Learning Rational Constraints of Epistemic Graphs—0
A Framework for Combustion Chemistry Acceleration with DeepONets—0
A Framework for Wasserstein-1-Type Metrics—0
A Framework for Waterfall Pricing Using Simulation-Based Uncertainty Modeling—0
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms—0
A Generalization of Continuous Relaxation in Structured Pruning—0
A generative foundation model for an all-in-one seismic processing framework—0
A Generative Model for Sampling High-Performance and Diverse Weights for Neural Networks—0
Agent Assessment of Others Through the Lens of Self—0
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition—0
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression—0
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery—0
A Harmonic Extension Approach for Collaborative Ranking—0
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation—0
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem—0
A Hierarchical Nearest Neighbour Approach to Contextual Bandits—0
A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution—0
A High-Performance External Validity Index for Clustering with a Large Number of Clusters—0
A high-reproducibility and high-accuracy method for automated topic classification—0
A Hodge-FAST Framework for High-Resolution Dynamic Functional Connectivity Analysis of Higher Order Interactions in EEG Signals—0
A Hybrid Adaptive Nash Equilibrium Solver for Distributed Multi-Agent Systems with Game-Theoretic Jump Triggering—0
A Hybrid Dynamic Subarray Architecture for Efficient DOA Estimation in THz Ultra-Massive Hybrid MIMO Systems—0
A Hybrid Mixture of t-Factor Analyzers for Clustering High-dimensional Data—0
A hybrid neural network for real-time OD demand calibration under disruptions—0
A Hybrid Two-layer Feature Selection Method Using GeneticAlgorithm and Elastic Net—0
A Hybrid Virtual Element Method and Deep Learning Approach for Solving One-Dimensional Euler-Bernoulli Beams—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
AI challenges for predicting the impact of mutations on protein stability—0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach—0
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows—0
A Kernelization-Based Approach to Nonparametric Binary Choice Models—0
A kinetic approach to consensus-based segmentation of biomedical images—0
A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified