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 391–400 of 4891 papers

TitleStatusHype
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic SegmentationCode1
DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman ProblemCode1
Adaptive wavelet distillation from neural networks through interpretationsCode1
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Dual Prototype Evolving for Test-Time Generalization of Vision-Language ModelsCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified