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

Showing 34513475 of 4891 papers

TitleStatusHype
Selectively Linearized Neural Network based RoCoF-Constrained Unit Commitment in Low-Inertia Power Systems0
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning0
Resilient Set-based State Estimation for Linear Time-Invariant Systems Using ZonotopesCode0
Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem0
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets0
Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment0
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization TasksCode0
Structured Singular Value of a Repeated Complex Full-Block Uncertainty0
Robust N-1 secure HV Grid Flexibility Estimation for TSO-DSO coordinated Congestion Management with Deep Reinforcement Learning0
Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training0
A Neural Network Subgrid Model of the Early Stages of Planet Formation0
Truthful Transaction Protocol for E-Commerce Networks Based on Double Auction0
Active Learning with Tabular Language Models0
A kinetic approach to consensus-based segmentation of biomedical images0
Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems0
A Filtering-based General Approach to Learning Rational Constraints of Epistemic Graphs0
Fast and efficient speech enhancement with variational autoencoders0
Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches0
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Neural network-based CUSUM for online change-point detection0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM0
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach0
BEBERT: Efficient and Robust Binary Ensemble BERTCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified