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 3351–3400 of 4891 papers

TitleStatusHype
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks—0
Latenrgy: Model Agnostic Latency and Energy Consumption Prediction for Binary Classifiers—0
Latent Adaptive Planner for Dynamic Manipulation—0
Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment—0
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
Latent Temporal Flows for Multivariate Analysis of Wearables Data—0
Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring—0
Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free—0
LatexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending—0
LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement—0
LayerCollapse: Adaptive compression of neural networks—0
LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models—0
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines—0
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization—0
Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA—0
Learned Global Optimization for Inverse Scattering Problems -- Matching Global Search with Computational Efficiency—0
Learning a Product Relevance Model from Click-Through Data in E-Commerce—0
Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning—0
Learning-Based Adaptive Dynamic Routing with Stability Guarantee for a Single-Origin-Single-Destination Network—0
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing—0
Learning based convex approximation for constrained parametric optimization—0
Learning-based estimation of in-situ wind speed from underwater acoustics—0
Learning battery model parameter dynamics from data with recursive Gaussian process regression—0
Learning Collective Behaviors from Observation—0
Learning Computational Efficient Bots with Costly Features—0
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation—0
Learning Neural Contextual Bandits Through Perturbed Rewards—0
Learning Deep Architectures via Generalized Whitened Neural Networks—0
Learning Depthwise Separable Graph Convolution from Data Manifold—0
Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction—0
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks—0
Learning Dual-arm Object Rearrangement for Cartesian Robots—0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Learning Efficient Anomaly Detectors from K-NN Graphs—0
Learning Flat Latent Manifolds with VAEs—0
Learning Interpretable Differentiable Logic Networks for Tabular Regression—0
Learning Inverse Laplacian Pyramid for Progressive Depth Completion—0
Learning Item-Interaction Embeddings for User Recommendations—0
Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization—0
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm—0
Learning linear structural equation models in polynomial time and sample complexity—0
Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs—0
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences—0
Learning Navigation Subroutines from Egocentric Videos—0
Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration—0
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression—0
Learning Optimal Multimodal Information Bottleneck Representations—0
Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified