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 2301–2325 of 4891 papers

TitleStatusHype
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
Shuffle Vision Transformer: Lightweight, Fast and Efficient Recognition of Driver Facial Expression—0
On the Complexity of Neural Computation in Superposition—0
InfraLib: Enabling Reinforcement Learning and Decision-Making for Large-Scale Infrastructure Management—0
State-space models are accurate and efficient neural operators for dynamical systemsCode0
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
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
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
SA-MLP: A Low-Power Multiplication-Free Deep Network for 3D Point Cloud Classification in Resource-Constrained EnvironmentsCode0
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation—0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video—0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos—0
Membership Inference Attacks Against In-Context Learning—0
Multi-frequency Neural Born Iterative Method for Solving 2-D Inverse Scattering Problems—0
Real-Time Multi-Scene Visibility Enhancement for Promoting Navigational Safety of Vessels Under Complex Weather ConditionsCode0
Style Transfer: From Stitching to Neural Networks—0
Real-Time Weather Image Classification with SVMCode0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified