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 3951–3975 of 4891 papers

TitleStatusHype
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing ImagesCode1
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
Multi-Features Guidance Network for partial-to-partial point cloud registrationCode1
Augmented Lagrangian Adversarial AttacksCode1
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Switching Device-Cognizant Sequential Distribution System Restoration—0
Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder—0
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks—0
A Variational Infinite Mixture for Probabilistic Inverse Dynamics LearningCode1
MAGIC: Learning Macro-Actions for Online POMDP PlanningCode1
Support estimation in high-dimensional heteroscedastic mean regression—0
Transfer Function Analysis and Implementation of Active Disturbance Rejection Control—0
Multi\^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERTCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting—0
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables—0
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret PerformanceCode0
Synthetic Training for Monocular Human Mesh Recovery—0
Multimodal Topic Learning for Video Recommendation—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors—0
Spectral folding and two-channel filter-banks on arbitrary graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified