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 3641–3650 of 4891 papers

TitleStatusHype
Ultra Fast Speech Separation Model with Teacher Student Learning—0
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Working memory inspired hierarchical video decomposition with transformative representationsCode0
Label Efficient Regularization and Propagation for Graph Node Classification—0
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs—0
RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology—0
Fast Multi-grid Methods for Minimizing Curvature EnergyCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified