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 4526–4550 of 4891 papers

TitleStatusHype
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted SurgeryCode0
MatchNet: Unifying Feature and Metric Learning for Patch-Based MatchingCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNsCode0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration PitfallsCode0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
Autonomous Sparse Mean-CVaR Portfolio OptimizationCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationCode0
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUsCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Variance-Aware Linear UCB with Deep Representation for Neural Contextual BanditsCode0
Domain Reduction Strategy for Non Line of Sight ImagingCode0
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear ProgrammingCode0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
SegRet: An Efficient Design for Semantic Segmentation with Retentive NetworkCode0
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Variance-Aware Regret Bounds for Stochastic Contextual Dueling BanditsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified