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 4426–4450 of 4891 papers

TitleStatusHype
Dynamics-aware Adversarial Attack of Adaptive Neural NetworksCode0
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAsCode0
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic EnvironmentsCode0
Working memory inspired hierarchical video decomposition with transformative representationsCode0
Physics-constrained coupled neural differential equations for one dimensional blood flow modelingCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
A Fast Bootstrap Algorithm for Causal Inference with Large DataCode0
Scalable method for Bayesian experimental design without integrating over posterior distributionCode0
Consistent Human Image and Video Generation with Spatially Conditioned DiffusionCode0
Are Gradients on Graph Structure Reliable in Gray-box Attacks?Code0
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based UpsamplingCode0
Considerations in the use of ML interaction potentials for free energy calculationsCode0
Scalable Regularised Joint Mixture ModelsCode0
Dynamics-aware Adversarial Attack of 3D Sparse Convolution NetworkCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Generative Archimedean CopulasCode0
Arbitrary-Oriented Scene Text Detection via Rotation ProposalsCode0
A projected nonlinear state-space model for forecasting time series signalsCode0
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag DataCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Places205-VGGNet Models for Scene RecognitionCode0
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language ModelsCode0
STONE: A Submodular Optimization Framework for Active 3D Object DetectionCode0
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement LearningCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified