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 1801–1825 of 4891 papers

TitleStatusHype
Combining Retrospective Approximation with Importance Sampling for Optimising Conditional Value at Risk—0
A Novel Noise Injection-based Training Scheme for Better Model Robustness—0
Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
The Butterfly Effect in Primary Visual Cortex—0
Combining GCN Structural Learning with LLM Chemical Knowledge for or Enhanced Virtual Screening—0
FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML—0
Combining Entropy and Matrix Nuclear Norm for Enhanced Evaluation of Language Models—0
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution—0
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics—0
A comparative study of human inverse kinematics techniques for lower limbs—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization—0
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Combinatorial Attacks on Binarized Neural Networks—0
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching—0
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis—0
Fast and Flexible Image Blind Denoising via Competition of Experts—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Fast and efficient speech enhancement with variational autoencoders—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified