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 3061–3070 of 4891 papers

TitleStatusHype
Visualizing Skiers' Trajectories in Monocular Videos—0
When approximate design for fast homomorphic computation provides differential privacy guarantees—0
InterFormer: Real-time Interactive Image SegmentationCode1
Efficient CNNs via Passive Filter Pruning—0
Tractable Identification of Electric Distribution Networks—0
A differentiable programming framework for spin modelsCode0
Generative Multiplane Neural Radiance for 3D-Aware Image GenerationCode1
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior RefinementCode1
On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations—0
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified