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 4401–4450 of 4891 papers

TitleStatusHype
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive ForecastingCode0
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic SurgeryCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue SystemsCode0
Toward Reliable AR-Guided Surgical Navigation: Interactive Deformation Modeling with Data-Driven Biomechanics and PromptsCode0
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI ImageCode0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret PerformanceCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical ImagesCode0
PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space LearningCode0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Stochastic Conjugate Gradient Algorithm with Variance ReductionCode0
Adaptive Data Exploitation in Deep Reinforcement LearningCode0
Stochastic filtering for multiscale stochastic reaction networks based on hybrid approximationsCode0
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline ExtractionCode0
Continual Learning Through Synaptic IntelligenceCode0
LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel SegmentationCode0
Scalable Bayesian Rule ListsCode0
PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst DesignCode0
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry DetectionCode0
Supervised Dimensionality Reduction for Big DataCode0
Stochastic Gradient Descent without Full Data ShuffleCode0
Tight lower bounds for Dynamic Time WarpingCode0
A general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimizationCode0
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