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 3201–3225 of 4891 papers

TitleStatusHype
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction—0
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration—0
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations—0
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
Scalable method for Bayesian experimental design without integrating over posterior distributionCode0
Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihoodCode0
What Truly Matters in Trajectory Prediction for Autonomous Driving?—0
Approximate Dynamic Programming for Constrained Piecewise Affine Systems with Stability and Safety Guarantees—0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
Verification of Neural Network Control Systems using Symbolic Zonotopes and Polynotopes—0
PathMLP: Smooth Path Towards High-order HomophilyCode0
Towards quantum enhanced adversarial robustness in machine learning—0
Neural Multigrid Memory For Computational Fluid DynamicsCode0
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems—0
Generalized Random Forests using Fixed-Point TreesCode0
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingCode0
Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference—0
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series—0
A reinforcement learning strategy for p-adaptation in high order solvers—0
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression—0
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm—0
On Selecting Distance Metrics in n-Dimensional Normed Vector Spaces of Cells: A Novel Criterion and Similarity Measure Towards Efficient and Accurate Omics Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified