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 1751–1800 of 4891 papers

TitleStatusHype
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN NetworksCode0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion—0
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning ApproachCode0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression—0
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOLCode0
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large DocumentsCode0
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural NetworksCode1
Cross-attention Inspired Selective State Space Models for Target Sound ExtractionCode1
VidLPRO: A Video-Language Pre-training Framework for Robotic and Laparoscopic Surgery—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
On the Complexity of Neural Computation in Superposition—0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Parallel AutoRegressive Models for Multi-Agent Combinatorial OptimizationCode1
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
State-space models are accurate and efficient neural operators for dynamical systemsCode0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
Exact first passage time distribution for second-order reactions in chemical networks—0
Efficient Image Compression Using Advanced State Space Models—0
Deep Adaptive Interest Network: Personalized Recommendation with Context-Aware Learning—0
Relative-Translation Invariant Wasserstein Distance—0
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP—0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video—0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation—0
Membership Inference Attacks Against In-Context Learning—0
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather ConditionsCode0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM InferenceCode1
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge DistillationCode1
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems—0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Real-Time Weather Image Classification with SVMCode0
Style Transfer: From Stitching to Neural Networks—0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models—0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep LearningCode0
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes—0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm—0
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks—0
Modelling Behaviour of Sensors using a Novel β-divergence based Adaptive Filter—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified