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 401–410 of 4891 papers

TitleStatusHype
FViT: A Focal Vision Transformer with Gabor FilterCode1
An empirical evaluation of functional alignment using inter-subject decodingCode1
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
Geometry-Informed Neural Operator TransformerCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Global-Local MAV Detection under Challenging Conditions based on Appearance and MotionCode1
An MRC Framework for Semantic Role LabelingCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified