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 1726–1750 of 4891 papers

TitleStatusHype
Evaluation of adaptive sampling methods in scenario generation for virtual safety impact assessment of pre-crash safety systems—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Event-based update of synapses in voltage-based learning rules—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Event-Driven Receding Horizon Control for Distributed Estimation in Network Systems—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures—0
A Marginalized Particle Gaussian Process Regression—0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising—0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models—0
Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization—0
Classification of Occluded Objects using Fast Recurrent Processing—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
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM—0
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified