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 2001–2050 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
Stationary and Sparse Denoising Approach for Corticomuscular Causality Estimation—0
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency—0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image SegmentationCode0
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
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
Gradient-Mask Tuning Elevates the Upper Limits of LLM Performance—0
Consistency Models Made EasyCode3
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
Multilingual De-Duplication Strategies: Applying scalable similarity search with monolingual & multilingual embedding models—0
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction—0
Tree-Sliced Wasserstein Distance: A Geometric Perspective—0
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy InterpolationCode0
VoCo-LLaMA: Towards Vision Compression with Large Language ModelsCode3
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations—0
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic—0
Meta Reasoning for Large Language Models—0
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a Generalized Efficient Layer Aggregation Network and Attention MechanismCode1
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A SurveyCode2
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingCode2
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection—0
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object DetectionCode2
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing—0
Group and Shuffle: Efficient Structured Orthogonal ParametrizationCode0
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
Q-S5: Towards Quantized State Space ModelsCode0
FacEnhance: Facial Expression Enhancing with Recurrent DDPMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified