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 2201–2210 of 4891 papers

TitleStatusHype
Remember and Recall: Associative-Memory-based Trajectory Prediction—0
FlashMask: Efficient and Rich Mask Extension of FlashAttention—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
FastLexRank: Efficient Lexical Ranking for Structuring Social Media PostsCode0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting—0
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a Robot—0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
Sparse Covariance Neural NetworksCode0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified