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 1651–1675 of 4891 papers

TitleStatusHype
FastLexRank: Efficient Lexical Ranking for Structuring Social Media PostsCode0
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility ConditionsCode0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Uncertainty Quantification with Bayesian Higher Order ReLU KANsCode0
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting—0
FlashMask: Efficient and Rich Mask Extension of FlashAttention—0
Sparse Covariance Neural NetworksCode0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Approximately Aligned Decoding—0
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging—0
Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
Graph-Based Representation Learning of Neuronal Dynamics and BehaviorCode0
Denoising VAE as an Explainable Feature Reduction and Diagnostic Pipeline for Autism Based on Resting state fMRI—0
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record GenerationCode0
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation—0
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits—0
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator—0
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning—0
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language ModelsCode1
When Molecular GAN Meets Byte-Pair Encoding—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Efficient Semantic Diffusion Architectures for Model Training on Synthetic EchocardiogramsCode0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
Analysis of Truncated Singular Value Decomposition for Koopman Operator-Based Lane Change Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified