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 451–475 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified