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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 4891 papers

TitleStatusHype
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLMCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
Efficient and Compact Convolutional Neural Network Architectures for Non-temporal Real-time Fire DetectionCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Global-Local MAV Detection under Challenging Conditions based on Appearance and MotionCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Dynamic Clustering and Cluster Contrastive Learning for Unsupervised Person Re-identificationCode1
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm RegularizationsCode1
Gracefully Filtering Backdoor Samples for Generative Large Language Models without RetrainingCode1
DynamicDet: A Unified Dynamic Architecture for Object DetectionCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical ImagingCode1
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing AidsCode1
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance ScalingCode1
Dynamic Group Convolution for Accelerating Convolutional Neural NetworksCode1
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopCode1
DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian SplattingCode1
Adapting LLaMA Decoder to Vision TransformerCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with DroneCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture contentCode1
Hyper-CL: Conditioning Sentence Representations with HypernetworksCode1
DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote SensingCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored EmbeddingsCode1
DispFormer: Pretrained Transformer for Flexible Dispersion Curve Inversion from Global Synthesis to Regional ApplicationsCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
InRank: Incremental Low-Rank LearningCode1
INSPIRE: Intensity and spatial information-based deformable image registrationCode1
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation LearningCode1
An MRC Framework for Semantic Role LabelingCode1
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token CompressionCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
DiGRAF: Diffeomorphic Graph-Adaptive Activation FunctionCode1
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion ModelsCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
DiRe-JAX: A JAX based Dimensionality Reduction Algorithm for Large-scale DataCode1
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellationCode1
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
Show:102550
← PrevPage 9 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified