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 2101–2125 of 4891 papers

TitleStatusHype
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference—0
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements—0
Episodic Memory for Learning Subjective-Timescale Models—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing—0
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities—0
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
A Deep Learning Framework for Boundary-Aware Semantic Segmentation—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Certifiably Robust Interpretation via Renyi Differential Privacy—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified