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 261–270 of 4891 papers

TitleStatusHype
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion DeblurringCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
Efficient RAW Image Deblurring with Adaptive Frequency ModulationCode1
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
α-DPO: Adaptive Reward Margin is What Direct Preference Optimization NeedsCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Efficient and Information-Preserving Future Frame Prediction and BeyondCode1
Efficient Aggregated Kernel Tests using Incomplete U-statisticsCode1
Show:102550
← PrevPage 27 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified