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 18761900 of 4891 papers

TitleStatusHype
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks0
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching0
Collaborative Deterministic-Probabilistic Forecasting for Real-World Spatiotemporal Systems0
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution0
Fall Detection for Industrial Setups Using YOLOv8 Variants0
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections0
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections0
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models0
Coil Sketching for computationally-efficient MR iterative reconstruction0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer0
Cognitive maps are generative programs0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA0
A Clustering Method with Graph Maximum Decoding Information0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification0
Fairness-aware Classification: Criterion, Convexity, and Bounds0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified