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 551–600 of 4891 papers

TitleStatusHype
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code RepresentationCode1
Posterior Sampling for Deep Reinforcement LearningCode1
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object DetectionCode1
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style TransfersCode1
Learning in latent spaces improves the predictive accuracy of deep neural operatorsCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
InterFormer: Real-time Interactive Image SegmentationCode1
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior RefinementCode1
Generative Multiplane Neural Radiance for 3D-Aware Image GenerationCode1
Heat flux for semi-local machine-learning potentialsCode1
Marching-Primitives: Shape Abstraction from Signed Distance FunctionCode1
SIESTA: Efficient Online Continual Learning with SleepCode1
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified _p AttacksCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Resurrecting Recurrent Neural Networks for Long SequencesCode1
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
LightCTS: A Lightweight Framework for Correlated Time Series ForecastingCode1
Local Causal Discovery for Estimating Causal EffectsCode1
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
Single Cells Are Spatial Tokens: Transformers for Spatial Transcriptomic Data ImputationCode1
Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesCode1
Graph Mixer NetworksCode1
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost ProxiesCode1
Optimising Event-Driven Spiking Neural Network with Regularisation and CutoffCode1
ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long readsCode1
An Asynchronous Intensity Representation for Framed and Event Video SourcesCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and ExplainabilityCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot SystemsCode1
Spatial-Spectral Transformer for Hyperspectral Image DenoisingCode1
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksCode1
Statistical Inference for Coadded Astronomical ImagesCode1
Model Predictive Control for Signal Temporal Logic Specifications with Time Interval DecompositionCode1
Learning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia AlarmsCode1
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
TransVisDrone: Spatio-Temporal Transformer for Vision-based Drone-to-Drone Detection in Aerial VideosCode1
Mixture of Attention Heads: Selecting Attention Heads Per TokenCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Learning Signal Temporal Logic through Neural Network for Interpretable ClassificationCode1
Centroid Distance Keypoint Detector for Colored Point CloudsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified