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

Showing 17761800 of 4891 papers

TitleStatusHype
Configurable Foundation Models: Building LLMs from a Modular Perspective0
Fast, High-Quality and Parameter-Efficient Articulatory Synthesis using Differentiable DSP0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation0
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video0
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 Segmentation0
Membership Inference Attacks Against In-Context Learning0
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 Videos0
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 Aggregation0
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms0
Real-Time Weather Image Classification with SVMCode0
Style Transfer: From Stitching to Neural Networks0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models0
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 Processes0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion ModelsCode0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm0
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks0
Modelling Behaviour of Sensors using a Novel β-divergence based Adaptive Filter0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified