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Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

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Showing 326–350 of 380 papers

TitleStatusHype
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework—0
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things—0
Neural Process for Black-Box Model Optimization Under Bayesian Framework—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Model Complexity of Deep Learning: A Survey—0
Video Analytics on IoT devices—0
Graph Embedding for Recommendation against Attribute Inference Attacks—0
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization—0
A stochastic geospatial epidemic model and simulation using an event modulated Gillespie algorithm—0
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion—0
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning—0
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification—0
3D Building Reconstruction From Monocular Remote Sensing Images—0
Model Optimization for Deep Space Exploration via Simulators and Deep Learning—0
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle QuantificationCode0
Untangling tradeoffs between recurrence and self-attention in artificial neural networks—0
Rank Position Forecasting in Car RacingCode0
Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networksCode0
Untangling tradeoffs between recurrence and self-attention in neural networks—0
Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model FairnessCode0
Meta-Learning for Few-Shot Land Cover Classification—0
A Fast Fully Octave Convolutional Neural Network for Document Image SegmentationCode0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling—0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
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