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

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Showing 826–850 of 4891 papers

TitleStatusHype
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
Interaction Measures, Partition Lattices and Kernel Tests for High-Order InteractionsCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Improving Variational Auto-Encoders using Householder FlowCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory NetworksCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability DistributionsCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Implicit Regularization for Optimal Sparse RecoveryCode0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified