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 281–290 of 4891 papers

TitleStatusHype
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
EfficientPose: Scalable single-person pose estimationCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Equivariant Hypergraph Diffusion Neural OperatorsCode1
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
Dynamic Multimodal FusionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified