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

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Showing 4301–4350 of 4891 papers

TitleStatusHype
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind DeconvolutionCode0
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion—0
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis—0
Neuromorphic Electronic Systems for Reservoir Computing—0
Region Tracking in an Image Sequence: Preventing Driver Inattention—0
Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics—0
Action recognition with spatial-temporal discriminative filter banks—0
Musical Rhythm Transcription Based on Bayesian Piece-Specific Score Models Capturing Repetitions—0
Improved Techniques for Training Adaptive Deep NetworksCode1
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks—0
A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
Least Squares Approximation for a Distributed SystemCode0
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates—0
Point-Based Multi-View Stereo NetworkCode0
Continual Learning via Online Leverage Score Sampling—0
Towards a Theory of Intentions for Human-Robot Collaboration—0
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually ImpairedCode0
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices—0
Some New Results for Poisson Binomial Models—0
Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model—0
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems—0
Efficient Segmentation: Learning Downsampling Near Semantic BoundariesCode0
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning—0
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity RecognitionCode0
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling—0
A Targeted Acceleration and Compression Framework for Low bit Neural Networks—0
Quantum-inspired canonical correlation analysis for exponentially large dimensional dataCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Learning to Generate Synthetic 3D Training Data through Hybrid Gradient—0
Selection via Proxy: Efficient Data Selection for Deep LearningCode0
Compositionally-Warped Gaussian Processes—0
Trade-offs in Large-Scale Distributed Tuplewise Estimation and LearningCode0
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient NoiseCode0
Dual-control based approach to batch process operation under uncertainty based on optimality-conditions parameterization—0
Object Placement on Cluttered Surfaces: A Nested Local Search Approach—0
Fast Nonconvex SDP Solvers for Large-scale Power System State Estimation—0
Differentiable probabilistic models of scientific imaging with the Fourier slice theoremCode0
Imitation Learning of Neural Spatio-Temporal Point ProcessesCode0
Warping Resilient Scalable Anomaly Detection in Time Series—0
FAMED-Net: A Fast and Accurate Multi-scale End-to-end Dehazing NetworkCode0
Learning Gaussian Graphical Models with Ordered Weighted L1 RegularizationCode0
A Robust Roll Angle Estimation Algorithm Based on Gradient Descent—0
Self-Attentional Models for Lattice Inputs—0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
3D Shape Reconstruction From Images in the Frequency Domain—0
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler—0
Learning Navigation Subroutines from Egocentric Videos—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified