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 4401–4450 of 4891 papers

TitleStatusHype
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Episodic Memory for Learning Subjective-Timescale Models—0
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements—0
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine—0
Equivariant Transformers for Neural Network based Molecular Potentials—0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training—0
EROAM: Event-based Camera Rotational Odometry and Mapping in Real-time—0
Error Analysis of Generalized Nyström Kernel Regression—0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
Estimation of Number of Communities in Assortative Sparse Networks—0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials—0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation—0
Evaluating a Novel Neuroevolution and Neural Architecture Search System—0
Evaluating Data Influence in Meta Learning—0
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets—0
Evaluating the effectiveness, reliability and efficiency of a multi-objective sequential optimization approach for building performance design—0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
Evaluating the Evolution of YOLO (You Only Look Once) Models: A Comprehensive Benchmark Study of YOLO11 and Its Predecessors—0
Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation—0
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing—0
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems—0
Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems—0
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Event-based update of synapses in voltage-based learning rules—0
Event-Driven Receding Horizon Control for Distributed Estimation in Network Systems—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping—0
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy—0
Exact Characterization of Aggregate Flexibility via Generalized Polymatroids—0
Exact first passage time distribution for second-order reactions in chemical networks—0
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making—0
Exp-Concavity of Proper Composite Losses—0
Expected Sliced Transport Plans—0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference—0
Expert-Token Resonance: Redefining MoE Routing through Affinity-Driven Active Selection—0
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified