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 4401–4450 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
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques—0
Robust and Adaptive Planning under Model Uncertainty—0
Stochastic Approximation Algorithms for Principal Component Analysis—0
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols—0
Self-Learning Exploration and Mapping for Mobile Robots via Deep Reinforcement LearningCode0
Efficient Convolutional Neural Network Training with Direct Feedback Alignment—0
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden—0
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identificationCode0
Accurate Hand Keypoint Localization on Mobile Devices—0
Optimized Feedforward Neural Network Training for Efficient Brillouin Frequency Shift Retrieval in Fiber—0
Imbalanced biomedical data classification using self-adaptive multilayer ELM combined with dynamic GAN—0
Shortcut Matrix Product States and its applications—0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
Learning Item-Interaction Embeddings for User Recommendations—0
Non-Intrusive Load Monitoring with Fully Convolutional Networks—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
Efficient Stochastic Gradient Hard Thresholding—0
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint—0
PAC-Bayes Tree: weighted subtrees with guarantees—0
Deep Signal Recovery with One-Bit Quantization—0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
CCNet: Criss-Cross Attention for Semantic SegmentationCode0
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models—0
Machine learning enables long time scale molecular photodynamics simulations—0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified