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 76–100 of 4891 papers

TitleStatusHype
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein EmbeddingCode3
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storageCode3
Apollo: Band-sequence Modeling for High-Quality Audio RestorationCode3
vHeat: Building Vision Models upon Heat ConductionCode3
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial AttacksCode2
Latent Neural Operator for Solving Forward and Inverse PDE ProblemsCode2
Learning local equivariant representations for quantum operatorsCode2
Large Scale Longitudinal Experiments: Estimation and InferenceCode2
LandMarkSystem Technical ReportCode2
Latent Modulated Function for Computational Optimal Continuous Image RepresentationCode2
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesCode2
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image ClassificationCode2
BEBLID: Boosted efficient binary local image descriptorCode2
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence ModelingCode2
L4acados: Learning-based models for acados, applied to Gaussian process-based predictive controlCode2
LeYOLO, New Scalable and Efficient CNN Architecture for Object DetectionCode2
Hybrid 3D-4D Gaussian Splatting for Fast Dynamic Scene RepresentationCode2
HeadInfer: Memory-Efficient LLM Inference by Head-wise OffloadingCode2
Harder Tasks Need More Experts: Dynamic Routing in MoE ModelsCode2
Advances in 4D Generation: A SurveyCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Grappa -- A Machine Learned Molecular Mechanics Force FieldCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified