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 231–240 of 4891 papers

TitleStatusHype
Efficient Neural Network Robustness Certification with General Activation FunctionsCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
Efficient Long Sequence Modeling via State Space Augmented TransformerCode1
Efficient Multi-agent Reinforcement Learning by PlanningCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
EfficientPose: Scalable single-person pose estimationCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
Electronic-structure properties from atom-centered predictions of the electron densityCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified