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 4051–4100 of 4891 papers

TitleStatusHype
Efficient Semantic Diffusion Architectures for Model Training on Synthetic EchocardiogramsCode0
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface RepresentationCode0
Efficient Segmentation: Learning Downsampling Near Semantic BoundariesCode0
Sparse Estimation with the Swept Approximated Message-Passing AlgorithmCode0
Efficient Robust Conformal Prediction via Lipschitz-Bounded NetworksCode0
Offline RL with Smooth OOD Generalization in Convex Hull and its NeighborhoodCode0
Adaptive Spiral Layers for Efficient 3D Representation Learning on MeshesCode0
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional NetworksCode0
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using ZonotopesCode0
Implicit Regularization for Optimal Sparse RecoveryCode0
Sparse Gaussian Process Variational AutoencodersCode0
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingCode0
OML-AD: Online Machine Learning for Anomaly Detection in Time Series DataCode0
Improving Variational Auto-Encoders using Householder FlowCode0
CFIR: Fast and Effective Long-Text To Image Retrieval for Large CorporaCode0
Efficient Quantification and Representation of Aggregate Flexibility in Electric VehiclesCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Sparse Implementation of Versatile Graph-Informed LayersCode0
Sparse L0-norm based Kernel-free Quadratic Surface Support Vector MachinesCode0
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging DataCode0
A Survey on Large-scale Machine LearningCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory NetworksCode0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model CompressionCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systemsCode0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit DistanceCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Deep convolutional neural network for shape optimization using level-set approachCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Accelerating Distributed Deep Learning using Lossless Homomorphic CompressionCode0
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problemsCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large DocumentsCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous mediaCode0
On enhancing the robustness of Vision Transformers: Defensive DiffusionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified