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 451–500 of 4891 papers

TitleStatusHype
Anchor-based Large Language ModelsCode1
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive LossCode1
Representation Surgery for Multi-Task Model MergingCode1
Scalable Multi-modal Model Predictive Control via Duality-based Interaction PredictionsCode1
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsCode1
Speeding up and reducing memory usage for scientific machine learning via mixed precisionCode1
Open-RadVLAD: Fast and Robust Radar Place RecognitionCode1
Learning to Manipulate Artistic ImagesCode1
Unified-Width Adaptive Dynamic Network for All-In-One Image RestorationCode1
CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-AttentionCode1
immrax: A Parallelizable and Differentiable Toolbox for Interval Analysis and Mixed Monotone Reachability in JAXCode1
Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictionCode1
A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spacesCode1
GridFormer: Point-Grid Transformer for Surface ReconstructionCode1
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing AidsCode1
Look-Up Table Compression for Efficient Image RestorationCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Global-Local MAV Detection under Challenging Conditions based on Appearance and MotionCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization ApproachCode1
Spatially Covariant Image Registration with Text PromptsCode1
Automated Lane Merging via Game Theory and Branch Model Predictive ControlCode1
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive ImagingCode1
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral ClusteringCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsCode1
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint PredictionCode1
Solving High Frequency and Multi-Scale PDEs with Gaussian ProcessesCode1
Mixed Models with Multiple Instance LearningCode1
Optimization-Free Test-Time Adaptation for Cross-Person Activity RecognitionCode1
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone MappingCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic ProcessesCode1
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson samplingCode1
Merging Experts into One: Improving Computational Efficiency of Mixture of ExpertsCode1
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language ModelsCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic EnvironmentsCode1
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class ImbalanceCode1
xVal: A Continuous Numerical Tokenization for Scientific Language ModelsCode1
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceCode1
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
VENOM: A Vectorized N:M Format for Unleashing the Power of Sparse Tensor CoresCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
Improving Facade Parsing with Vision Transformers and Line IntegrationCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified