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 401–450 of 4891 papers

TitleStatusHype
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM ImagesCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Hyperspectral Pansharpening: Critical Review, Tools and Future PerspectivesCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
Birdie: Advancing State Space Models with Reward-Driven Objectives and CurriculaCode1
Improving Facade Parsing with Vision Transformers and Line IntegrationCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
INSPIRE: Intensity and spatial information-based deformable image registrationCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
Federated Bayesian Optimization via Thompson SamplingCode1
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNNCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Adapting LLaMA Decoder to Vision TransformerCode1
featsel: A framework for benchmarking of feature selection algorithms and cost functionsCode1
An Extensible Benchmark Suite for Learning to Simulate Physical SystemsCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
FedPop: Federated Population-based Hyperparameter TuningCode1
Finer-CAM: Spotting the Difference Reveals Finer Details for Visual ExplanationCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
Language Model Uncertainty Quantification with Attention ChainCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Deep reinforcement learning for large-scale epidemic controlCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive ImagingCode1
LDM-Morph: Latent diffusion model guided deformable image registrationCode1
An MRC Framework for Semantic Role LabelingCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
Fast Point TransformerCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Learning Fine-Grained Features for Pixel-wise Video CorrespondencesCode1
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent CodingCode1
Change State Space Models for Remote Sensing Change DetectionCode1
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM SelectionCode1
FastKV: KV Cache Compression for Fast Long-Context Processing with Token-Selective PropagationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified