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 2001–2025 of 4891 papers

TitleStatusHype
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture—0
ModeConv: A Novel Convolution for Distinguishing Anomalous and Normal Structural BehaviorCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Unconditional Stability Analysis of N-Port Networks Based on Structured Singular Value Computation—0
A Closer Look into Mixture-of-Experts in Large Language ModelsCode2
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—0
Octo-planner: On-device Language Model for Planner-Action Agents—0
Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets—0
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on EdgeCode4
High Fidelity Text-to-Speech Via Discrete Tokens Using Token Transducer and Group Masked Language Model—0
Unified Auto-Encoding with Masked DiffusionCode1
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Training-Free Exponential Context Extension via Cascading KV CacheCode0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation—0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI SynthesisCode1
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted SurgeryCode0
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet—0
Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipeCode0
Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance—0
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
Consistency Models Made EasyCode3
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified