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 4401–4425 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified