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 2501–2550 of 4891 papers

TitleStatusHype
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares—0
Recurrent Interpolants for Probabilistic Time Series Prediction—0
Recurrent Memory for Online Interdomain Gaussian Processes—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming—0
Recursive Bound-Constrained AdaGrad with Applications to Multilevel and Domain Decomposition Minimization—0
Recursive Least Squares Advantage Actor-Critic Algorithms—0
Redefining cystoscopy with ai: bladder cancer diagnosis using an efficient hybrid cnn-transformer model—0
Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations—0
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints—0
Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research—0
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation—0
Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences—0
RefineNet: Enhancing Text-to-Image Conversion with High-Resolution and Detail Accuracy through Hierarchical Transformers and Progressive Refinement—0
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing—0
Region Growing with Convolutional Neural Networks for Biomedical Image Segmentation—0
Region Tracking in an Image Sequence: Preventing Driver Inattention—0
Regist3R: Incremental Registration with Stereo Foundation Model—0
ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction—0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
Regret Bounds for Robust Online Decision Making—0
The Nyström method for convex loss functions—0
Regularized ERM on random subspaces—0
Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques—0
ReInc: Scaling Training of Dynamic Graph Neural Networks—0
Reinforcement Learning Based Symbolic Regression for Load Modeling—0
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition—0
Reinforcement learning informed evolutionary search for autonomous systems testing—0
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation—0
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval—0
Relative-Translation Invariant Wasserstein Distance—0
Relaxation-Free Min-k-Partition for PCI Assignment in 5G Networks—0
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network—0
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks—0
Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing—0
Reliable Feature Selection for Adversarially Robust Cyber-Attack Detection—0
Reliable Solution to Dynamic Optimization Problems using Integrated Residual Regularized Direct Collocation—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling—0
Remember and Recall: Associative-Memory-based Trajectory Prediction—0
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation—0
RemoteDet-Mamba: A Hybrid Mamba-CNN Network for Multi-modal Object Detection in Remote Sensing Images—0
Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology—0
Representing Flow Fields with Divergence-Free Kernels for Reconstruction—0
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols—0
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization—0
Research Advances and New Paradigms for Biology-inspired Spiking Neural Networks—0
Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models—0
Research on Edge Detection of LiDAR Images Based on Artificial Intelligence Technology—0
Research on feature fusion and multimodal patent text based on graph attention network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified