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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 4891 papers

TitleStatusHype
RGB-Event Fusion with Self-Attention for Collision PredictionCode1
Multi-View Learning with Context-Guided Receptance for Image DenoisingCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Fast and Low-Cost Genomic Foundation Models via Outlier RemovalCode1
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM SelectionCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Geometry-Informed Neural Operator TransformerCode1
TableCenterNet: A one-stage network for table structure recognitionCode1
Survey of Video Diffusion Models: Foundations, Implementations, and ApplicationsCode1
Exploring _0 Sparsification for Inference-free Sparse RetrieversCode1
FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV TrackingCode1
Mask Image WatermarkingCode1
Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative LearningCode1
Change State Space Models for Remote Sensing Change DetectionCode1
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT ImagesCode1
Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionCode1
Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics SimulationsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
Robo-taxi Fleet Coordination at Scale via Reinforcement LearningCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Rethinking Key-Value Cache Compression Techniques for Large Language Model ServingCode1
AdaRank: Adaptive Rank Pruning for Enhanced Model MergingCode1
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified