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 1301–1325 of 4891 papers

TitleStatusHype
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
ATLAS: Adapting Trajectory Lengths and Step-Size for Hamiltonian Monte CarloCode0
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-AttentionCode0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and AnnotationCode0
Reachability Analysis Using Constrained Polynomial Logical ZonotopesCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention NetworksCode0
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse AttentionCode0
Deep-learning the Latent Space of Light TransportCode0
A tensor network approach for chaotic time series predictionCode0
Improving Variational Auto-Encoders using Householder FlowCode0
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignCode0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle PhysicsCode0
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel InferenceCode0
Dis-S2V: Discourse Informed Sen2VecCode0
Dissecting FLOPs along input dimensions for GreenAI cost estimationsCode0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Distance-Based Tree-Sliced Wasserstein DistanceCode0
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware FusionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified