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 601–625 of 4891 papers

TitleStatusHype
Learning Hierarchical Image Segmentation For Recognition and By RecognitionCode1
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingCode1
HiPart: Hierarchical Divisive Clustering ToolboxCode1
Tube-Based Zonotopic Data-Driven Predictive ControlCode1
Algorithmic Differentiation for Automated Modeling of Machine Learned Force FieldsCode1
Automating DBSCAN via Deep Reinforcement LearningCode1
On Fast Simulation of Dynamical System with Neural Vector Enhanced Numerical SolverCode1
Accelerated and interpretable oblique random survival forestsCode1
TransCL: Transformer Makes Strong and Flexible Compressive LearningCode1
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image EnhancementCode1
Continual Learning For On-Device Environmental Sound ClassificationCode1
STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observabilityCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather PredictionCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic ModelsCode1
Learning Ego 3D Representation as Ray TracingCode1
Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm RegularizationsCode1
itKD: Interchange Transfer-based Knowledge Distillation for 3D Object DetectionCode1
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connectionsCode1
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class ClassificationCode1
Transkimmer: Transformer Learns to Layer-wise SkimCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified