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 2501–2525 of 4891 papers

TitleStatusHype
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness—0
The Chronicles of RAG: The Retriever, the Chunk and the Generator—0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Polariton lattices as binarized neuromorphic networks—0
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis—0
Image edge enhancement for effective image classification—0
A Physics-informed machine learning model for time-dependent wave runup prediction—0
Plug-in for visualizing 3D tool tracking from videos of Minimally Invasive Surgeries—0
Maximum-Entropy Adversarial Audio Augmentation for Keyword Spotting—0
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO—0
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field RenderingCode4
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
Feature Network Methods in Machine Learning and Applications—0
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks—0
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation—0
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs—0
SeTformer is What You Need for Vision and Language—0
Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network—0
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports—0
Migrating Birds Optimization-Based Feature Selection for Text Classification—0
TinyLlama: An Open-Source Small Language ModelCode11
GridFormer: Point-Grid Transformer for Surface ReconstructionCode1
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified