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 28262850 of 4891 papers

TitleStatusHype
Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic ScenariosCode1
Learning Computational Efficient Bots with Costly Features0
Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning0
Online Transition-Based Feature Generation for Anomaly Detection in Concurrent Data Streams0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks0
Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect0
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing0
SCQPTH: an efficient differentiable splitting method for convex quadratic programmingCode0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance0
FedPop: Federated Population-based Hyperparameter TuningCode1
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks0
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions0
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction0
SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays ClassificationCode0
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting0
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection0
AutoSeqRec: Autoencoder for Efficient Sequential RecommendationCode0
Localization of DOA trajectories -- Beyond the grid0
A practical PINN framework for multi-scale problems with multi-magnitude loss termsCode1
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere0
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion ModelsCode1
Objects do not disappear: Video object detection by single-frame object location anticipationCode1
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified