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 926–950 of 4891 papers

TitleStatusHype
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision MambaCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMsCode0
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimationCode0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference AggregationCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration FrameworkCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
CIRO: COVID-19 infection risk ontologyCode0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge DistillationCode0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
HYATT-Net is Grand: A Hybrid Attention Network for Performant Anatomical Landmark DetectionCode0
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly OlfactionCode0
P-Hologen: An End-to-End Generative Framework for Phase-Only HologramsCode0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne PerspectiveCode0
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
Learning Efficient Representations of Neutrino Telescope EventsCode0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
High Dimensional Bayesian Optimization using Lasso Variable SelectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified