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

Showing 501510 of 4891 papers

TitleStatusHype
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?Code1
FedPop: Federated Population-based Hyperparameter TuningCode1
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified