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 1651–1700 of 4891 papers

TitleStatusHype
Architecting Digital Twins for Intelligent Transportation Systems—0
A few-shot Label Unlearning in Vertical Federated Learning—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
Contextual Reinforcement in Multimodal Token Compression for Large Language Models—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Contextual Multinomial Logit Bandits with General Value Functions—0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
A Rank-SVM Approach to Anomaly Detection—0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
A Question of Time: Revisiting the Use of Recursive Filtering for Temporal Calibration of Multisensor Systems—0
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications—0
A 3D grain-based reconstruction method from a 2D surface image for the Distinct Lattice Spring Model—0
Context-aware recommendations from implicit data via scalable tensor factorization—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
A pseudo-likelihood approach to community detection in weighted networks—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
PropEnc: A Property Encoder for Graph Neural Networks—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
A computational framework for optimal and Model Predictive Control of stochastic gene regulatory networks—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors—0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning—0
A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping—0
8-bit Numerical Formats for Deep Neural Networks—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
Conformal testing: binary case with Markov alternatives—0
Fast and Robust Matching for Multimodal Remote Sensing Image Registration—0
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
Conditional Expectation Propagation—0
ConDiSim: Conditional Diffusion Models for Simulation Based Inference—0
Approximating DTW with a convolutional neural network on EEG data—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints—0
Approximate XVA for European claims—0
Show:102550
← PrevPage 34 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified