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 3211–3220 of 4891 papers

TitleStatusHype
WCCNet: Wavelet-integrated CNN with Crossmodal Rearranging Fusion for Fast Multispectral Pedestrian Detection—0
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity—0
What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation—0
What Truly Matters in Trajectory Prediction for Autonomous Driving?—0
When and why are log-linear models self-normalizing?—0
When approximate design for fast homomorphic computation provides differential privacy guarantees—0
When Cloud Removal Meets Diffusion Model in Remote Sensing—0
When Molecular GAN Meets Byte-Pair Encoding—0
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified