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 1176–1200 of 4891 papers

TitleStatusHype
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Bottom-up robust modeling for the foraging behavior of Physarum polycephalum—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Body Transformer: Leveraging Robot Embodiment for Policy Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified