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 41–50 of 4891 papers

TitleStatusHype
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
MetaDE: Evolving Differential Evolution by Differential EvolutionCode3
FlashVideo:Flowing Fidelity to Detail for Efficient High-Resolution Video GenerationCode3
CoverM: Read alignment statistics for metagenomicsCode3
Dataset Distillation with Neural Characteristic Function: A Minmax PerspectiveCode3
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
On the Efficiency of NLP-Inspired Methods for Tabular Deep LearningCode3
Star Attention: Efficient LLM Inference over Long SequencesCode3
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified