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 2701–2750 of 4891 papers

TitleStatusHype
Attention is Naturally Sparse with Gaussian Distributed Input—0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Improved model-free bounds for multi-asset options using option-implied information and deep learning—0
Learning-based model augmentation with LFRsCode0
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay—0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
Multi-scale Unified Network for Image Classification—0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Transformers-based architectures for stroke segmentation: A review—0
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems—0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
Tiny Models are the Computational Saver for Large ModelsCode0
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model—0
Benchmarking Video Frame Interpolation—0
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks—0
Stochastic parameter reduced-order model based on hybrid machine learning approaches—0
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORA—0
Crypto Inverse-Power Options and Fractional Stochastic Volatility—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
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
Sparse Implementation of Versatile Graph-Informed LayersCode0
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition—0
Community detection by spectral methods in multi-layer networks—0
Neural Parameter Regression for Explicit Representations of PDE Solution Operators—0
XPose: eXplainable Human Pose Estimation—0
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness—0
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection—0
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices—0
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models—0
A Clustering Method with Graph Maximum Decoding Information—0
Learning Dynamical Systems Encoding Non-Linearity within Space CurvatureCode0
Zero-Shot Multi-task Hallucination Detection—0
Improving LoRA in Privacy-preserving Federated Learning—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
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection—0
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language ModelsCode0
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification—0
Machine learning-based system reliability analysis with Gaussian Process Regression—0
EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image RegistrationCode0
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization—0
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings—0
Mitigating Data Consistency Induced Discrepancy in Cascaded Diffusion Models for Sparse-view CT Reconstruction—0
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified