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 3901–3925 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified