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 3651–3700 of 4891 papers

TitleStatusHype
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual LearningCode0
Multi-task nonparallel support vector machine for classification—0
Deep learning, stochastic gradient descent and diffusion maps—0
A Temporal-oriented Broadcast ResNet for COVID-19 Detection—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Adaptive Divergence-based Non-negative Latent Factor Analysis—0
On Affine Policies for Wasserstein Distributionally Robust Unit Commitment—0
Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Straightening skewed markets with an index tracking optimizationless portfolio—0
Embedding Recurrent Layers with Dual-Path Strategy in a Variant of Convolutional Network for Speaker-Independent Speech Separation—0
Distributionally Robust Model Predictive Control with Total Variation Distance—0
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts—0
Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Efficient universal shuffle attack for visual object tracking—0
Neural Theorem Provers Delineating Search Area Using RNN—0
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network—0
Integrating Dependency Tree Into Self-attention for Sentence Representation—0
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data—0
E-detectors: a nonparametric framework for sequential change detectionCode0
Multivariate Time Series Forecasting with Latent Graph Inference—0
A Multi-Document Coverage Reward for RELAXed Multi-Document SummarizationCode0
Benchmarking real-time algorithms for in-phase auditory stimulation of low amplitude slow waves with wearable EEG devices during sleep—0
On consistency of constrained spectral clustering under representation-aware stochastic block model—0
Learning Stochastic Parametric Differentiable Predictive Control Policies—0
Multi-Objective System-by-Design for mm-Wave Automotive Radar Antennas—0
HyperPrompt: Prompt-based Task-Conditioning of Transformers—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
BlazeNeo: Blazing fast polyp segmentation and neoplasm detectionCode0
A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients—0
Residual Bootstrap Exploration for Stochastic Linear Bandit—0
CD-ROM: Complemented Deep-Reduced Order Model—0
HoneyModels: Machine Learning Honeypots—0
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural NetworkCode0
GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs—0
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes—0
Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition—0
Efficient Kernel UCB for Contextual BanditsCode0
Scale-free Unconstrained Online Learning for Curved Losses—0
Real-time decision-making for autonomous vehicles under faults—0
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural NetworksCode0
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials—0
DEVO: Depth-Event Camera Visual Odometry in Challenging Conditions—0
On the Complexity of Winner Determination and Strategic Control in Conditional Approval Voting—0
Mold into a Graph: Efficient Bayesian Optimization over Mixed-SpacesCode0
AdaAnn: Adaptive Annealing Scheduler for Probability Density ApproximationCode0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
Differentially Private Community Detection for Stochastic Block Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified