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 2976–3000 of 4891 papers

TitleStatusHype
Deep Tensor Network—0
Quantum Data Encoding: A Comparative Analysis of Classical-to-Quantum Mapping Techniques and Their Impact on Machine Learning Accuracy—0
PEFT-MedAware: Large Language Model for Medical Awareness—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking—0
Federated Learning for Sparse Principal Component Analysis—0
K-BMPC: Derivative-based Koopman Bilinear Model Predictive Control for Tractor-Trailer Trajectory Tracking with Unknown Parameters—0
I Was Blind but Now I See: Implementing Vision-Enabled Dialogue in Social RobotsCode0
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifoldsCode0
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
C-Procgen: Empowering Procgen with Controllable Contexts—0
Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI—0
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models—0
SigScatNet: A Siamese + Scattering based Deep Learning Approach for Signature Forgery Detection and Similarity Assessment—0
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization—0
Perfecting Liquid-State Theories with Machine Intelligence—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall DataCode0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character DecompositionCode0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Multi-view learning for automatic classification of multi-wavelength auroral images—0
Leveraging point annotations in segmentation learning with boundary loss—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified