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 3901–3950 of 4891 papers

TitleStatusHype
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
Compressed Dynamic Mode Decomposition for Background Modeling—0
Compressed Sensing Based Residual Recovery Algorithms and Hardware for Modulo Sampling—0
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging—0
Compression for Better: A General and Stable Lossless Compression Framework—0
Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix—0
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition—0
On the Complexity of Winner Determination and Strategic Control in Conditional Approval Voting—0
Computational Efficiency in Multivariate Adversarial Risk Analysis Models—0
Computational Efficiency under Covariate Shift in Kernel Ridge Regression—0
Computational Explorations in Biomedicine: Unraveling Molecular Dynamics for Cancer, Drug Delivery, and Biomolecular Insights using LAMMPS Simulations—0
Computational Lower Bounds for Sparse PCA—0
Computationally and Statistically Efficient Truncated Regression—0
Computationally Efficient Safe Control of Linear Systems under Severe Sensor Attacks—0
Computationally efficient spatial rendering of late reverberation in virtual acoustic environments—0
Computationally Efficient State and Model Estimation via Interval Observers for Partially Unknown Systems—0
Computational-Statistical Tradeoffs from NP-hardness—0
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm—0
Computation of safe disturbance sets using implicit RPI sets—0
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints—0
ConDiSim: Conditional Diffusion Models for Simulation Based Inference—0
Conditional Expectation Propagation—0
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression—0
Configurable Foundation Models: Building LLMs from a Modular Perspective—0
Conformal testing: binary case with Markov alternatives—0
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting—0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference—0
Constrained Trajectory Optimization for Hybrid Dynamical Systems—0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
Context-Enhanced CSI Tracking Using Koopman-Inspired Dual Autoencoders in Dynamic Wireless Environments—0
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing—0
Context-aware recommendations from implicit data via scalable tensor factorization—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images—0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Contextual Multinomial Logit Bandits with General Value Functions—0
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls—0
Contextual Reinforcement in Multimodal Token Compression for Large Language Models—0
Contingency-constrained economic dispatch with safe reinforcement learning—0
Show:102550
← PrevPage 79 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified