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

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Showing 2301–2350 of 4891 papers

TitleStatusHype
Medical Image Data Provenance for Medical Cyber-Physical System—0
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models—0
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets—0
Considerations in the use of ML interaction potentials for free energy calculationsCode0
vid-TLDR: Training Free Token merging for Light-weight Video TransformerCode2
Sparse Implementation of Versatile Graph-Informed LayersCode0
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition—0
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space ModelCode3
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
Community detection by spectral methods in multi-layer networks—0
Neural Parameter Regression for Explicit Representations of PDE Solution Operators—0
Enhancing Vision-Language Few-Shot Adaptation with Negative LearningCode1
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
XPose: eXplainable Human Pose Estimation—0
A Clustering Method with Graph Maximum Decoding Information—0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices—0
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection—0
Improving LoRA in Privacy-preserving Federated Learning—0
Zero-Shot Multi-task Hallucination Detection—0
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models—0
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units—0
The Role of Extended Horizon Methodology in Renewable-Dense Grids With Inter-Day Long-Duration Energy Storage—0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
Is Mamba Effective for Time Series Forecasting?Code3
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image RegistrationCode0
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera ImagesCode1
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token MemoryCode1
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings—0
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision TransformersCode1
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging—0
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
TimeMachine: A Time Series is Worth 4 Mambas for Long-term ForecastingCode3
StainFuser: Controlling Diffusion for Faster Neural Style Transfer in Multi-Gigapixel Histology ImagesCode1
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing—0
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation—0
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
Monotone Individual Fairness—0
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsCode4
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified