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

Showing 651700 of 4891 papers

TitleStatusHype
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
Automating DBSCAN via Deep Reinforcement LearningCode1
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentationCode1
Adapting LLaMA Decoder to Vision TransformerCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Delving into Masked Autoencoders for Multi-Label Thorax Disease ClassificationCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
A Walsh Hadamard Derived Linear Vector Symbolic ArchitectureCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
BabyAI 1.1Code1
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance ProblemsCode1
Backpropagated Gradient Representations for Anomaly DetectionCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
Deep reinforcement learning for large-scale epidemic controlCode1
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion ModelsCode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
Large-scale moral machine experiment on large language modelsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
EfficientPose: Scalable single-person pose estimationCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender SystemsCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
Linear Reduced Order Model Predictive ControlCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified