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 1676–1700 of 4891 papers

TitleStatusHype
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling—0
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
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
A new weakly supervised approach for ALS point cloud semantic segmentation—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
Distilling Diversity and Control in Diffusion Models—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
Avoiding Obfuscation with Prover-Estimator Debate—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified