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 3801–3850 of 4891 papers

TitleStatusHype
The 5th AI City ChallengeCode1
Partitioning sparse deep neural networks for scalable training and inference—0
Consistent and symmetry preserving data-driven interface reconstruction for the level-set method—0
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Consistent Accelerated Inference via Confident Adaptive TransformersCode1
Machine learning-assisted surrogate construction for full-core fuel performance analysis—0
Improving Hyper-Relational Knowledge Graph CompletionCode0
Uncertainty Surrogates for Deep Learning—0
The Butterfly Effect in Primary Visual Cortex—0
Towards Efficient Graph Convolutional Networks for Point Cloud HandlingCode0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Deformable Capsules for Object Detection—0
Pyramidal Reservoir Graph Neural NetworkCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis—0
A New Parallel Adaptive Clustering and its Application to Streaming Data—0
An Energy-efficient Aerial Backhaul System with Reconfigurable Intelligent Surface—0
CCSNet: a deep learning modeling suite for CO_2 storage—0
"Forget" the Forget Gate: Estimating Anomalies in Videos using Self-contained Long Short-Term Memory Networks—0
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical ZoomCode0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliersCode0
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere—0
Checkerboard Context Model for Efficient Learned Image CompressionCode1
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples—0
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning—0
Backup Plan Constrained Model Predictive Control—0
Combining distribution-based neural networks to predict weather forecast probabilitiesCode0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX—0
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
K-expectiles clustering—0
RMP2: A Structured Composable Policy Class for Robot Learning—0
Analytically Tractable Inference in Deep Neural Networks—0
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions—0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified