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 4401–4425 of 4891 papers

TitleStatusHype
Efficient Search-Based Weighted Model Integration—0
Low-rank Tensor Grid for Image Completion—0
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Composite Event Recognition for Maritime Monitoring—0
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC—0
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite ProgrammingCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning—0
Nonlinear Approximation via Compositions—0
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection—0
Appearance-based Gesture recognition in the compressed domain—0
Significance Tests for Neural NetworksCode0
Fast Task-Aware Architecture Inference—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
Optimization problems with low SWaP tactical Computing—0
Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare—0
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing—0
NeurAll: Towards a Unified Visual Perception Model for Automated Driving—0
Physics and Derivatives: Effective-Potential Path-Integral Approximations of Arrow-Debreu Densities—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Multi-Kernel Prediction Networks for Denoising of Burst ImagesCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
Sparse Least Squares Low Rank Kernel Machines—0
DeGraF-Flow: Extending DeGraF Features for accurate and efficient sparse-to-dense optical flow estimation—0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified