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 2621–2630 of 4891 papers

TitleStatusHype
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders—0
Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion—0
Roll-back Hamiltonian Monte Carlo—0
Rolling Ahead Diffusion for Traffic Scene Simulation—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations—0
Rough set based lattice structure for knowledge representation in medical expert systems: low back pain management case study—0
RRWKV: Capturing Long-range Dependencies in RWKV—0
RDA-INR: Riemannian Diffeomorphic Autoencoding via Implicit Neural Representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified