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 3851–3860 of 4891 papers

TitleStatusHype
Clifford Circuits can be Properly PAC Learned if and only if RP=NP—0
CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination—0
Closed-form Filtering for Non-linear Systems—0
Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images—0
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation—0
CluStRE: Streaming Graph Clustering with Multi-Stage Refinement—0
CNN Mixture-of-Depths—0
TANTE: Time-Adaptive Operator Learning via Neural Taylor Expansion—0
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems—0
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified