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 4251–4300 of 4891 papers

TitleStatusHype
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement—0
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy—0
Fast and Flexible Image Blind Denoising via Competition of Experts—0
WITCHcraft: Efficient PGD attacks with random step size—0
Optimizing Cooperative path-finding: A Scalable Multi-Agent RRT* with Dynamic Potential Fields—0
A Bootstrap-based Method for Testing Network SimilarityCode0
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health RecordsCode0
Sparse Coding on Cascaded Residuals—0
RNN-T For Latency Controlled ASR With Improved Beam Search—0
Efficient Global Multi-object Tracking Under Minimum-cost Circulation FrameworkCode0
Global Adaptive Generative Adjustment—0
Multi-scale Octave Convolutions for Robust Speech Recognition—0
Recovering BanditsCode0
A framework for deep learning emulation of numerical models with a case study in satellite remote sensingCode0
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems—0
Landmark Ordinal Embedding—0
Conditional Expectation Propagation—0
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization—0
CrevNet: Conditionally Reversible Video Prediction—0
A Statistical Learning Approach to Reactive Power Control in Distribution Systems—0
Learning Mixtures of Plackett-Luce Models from Structured Partial OrdersCode0
ProLFA: Representative Prototype Selection for Local Feature AggregationCode0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud RegistrationCode0
Multiphase flow prediction with deep neural networks—0
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT PerfusionCode0
Coping With Simulators That Don’t Always Return—0
Scale-Equivariant Steerable NetworksCode0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal RecoveryCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Neural Multisensory Scene InferenceCode0
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction MethodCode0
Multiagent Rollout Algorithms and Reinforcement LearningCode0
Integrated Triaging for Fast Reading Comprehension—0
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural NetworksCode0
Online Learning of Dynamical Systems: An Operator Theoretic Approach—0
A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation—0
Extreme Value k-means Clustering—0
Deep Auto-Deferring Policy for Combinatorial Optimization—0
Meta-Learning for Variational Inference—0
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications—0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Low Rank Training of Deep Neural Networks for Emerging Memory Technology—0
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
The column measure and Gradient-Free Gradient Boosting—0
Sparse Canonical Correlation Analysis via Concave Minimization—0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified