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 3676–3700 of 4891 papers

TitleStatusHype
Attention is Naturally Sparse with Gaussian Distributed Input—0
Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion—0
Attentive cross-modal paratope prediction—0
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement—0
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
Audio-Plane: Audio Factorization Plane Gaussian Splatting for Real-Time Talking Head Synthesis—0
Audio-Visual Speech Enhancement With Selective Off-Screen Speech Extraction—0
AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks—0
Augmented Space Linear Model—0
A Unified Framework for Sparse Relaxed Regularized Regression: SR3—0
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random—0
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORA—0
A Unified View of Optimal Kernel Hypothesis Testing—0
Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting—0
AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning—0
Automated Defect Detection and Grading of Piarom Dates Using Deep Learning—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Automated Process Planning for Hybrid Manufacturing—0
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques—0
Automatic Doubly Robust Forests—0
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified