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 1931–1940 of 4891 papers

TitleStatusHype
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
Quantum Natural Stochastic Pairwise Coordinate DescentCode0
Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd NavigationCode1
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction—0
Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise—0
Scalable Exploration via Ensemble++Code0
Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change DetectionCode1
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets—0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model—0
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified