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 2081–2090 of 4891 papers

TitleStatusHype
UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Gaussian Primitives for Deformable Image Registration—0
ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency—0
Stochastic Carbon Footprint Tracing Methods in Power Systems—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified