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 2351–2375 of 4891 papers

TitleStatusHype
High-dimensional Mixed Graphical Models—0
IHashNet: Iris Hashing Network based on efficient multi-index hashing—0
Deep Learning-based Facial Appearance Simulation Driven by Surgically Planned Craniomaxillofacial Bony Movement—0
IKDiffuser: A Generative Inverse Kinematics Solver for Multi-arm Robots via Diffusion Model—0
Ilargi: a GPU Compatible Factorized ML Model Training Framework—0
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization—0
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks—0
Image Denoising via Multi-scale Nonlinear Diffusion Models—0
Image edge enhancement for effective image classification—0
Image Prior and Posterior Conditional Probability Representation for Efficient Damage Assessment—0
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach—0
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
A high-reproducibility and high-accuracy method for automated topic classification—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks—0
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features—0
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties—0
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions—0
Importance Filtering with Risk Models for Complex Driving Situations—0
ImPosing: Implicit Pose Encoding for Efficient Visual Localization—0
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified