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 2751–2775 of 4891 papers

TitleStatusHype
FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections—0
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation—0
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data—0
Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing—0
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation—0
Monotone Individual Fairness—0
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative LearningCode0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem—0
Implementation of soft-constrained MPC for Tracking using its semi-banded problem structure—0
Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model—0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
D4C Glove-train: Solving the RPM and Bongard-logo Problem by Circumscribing and Building Distribution for Concepts—0
Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral imagesCode0
Data Collaboration Analysis with Orthonormal Basis Selection and Alignment—0
Vanilla Transformers are Transfer Capability Teachers—0
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical SystemsCode0
Revisiting Learning-based Video Motion Magnification for Real-time Processing—0
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified