SOTAVerified

Model Optimization

To Optimize already existing models in Training/Inferencing tasks.

Papers

Showing 301350 of 380 papers

TitleStatusHype
Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study0
Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning0
An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation0
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic SegmentationCode0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry0
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation0
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-aware Semantic Segmentation in Point Clouds0
Heterogeneous Language Model Optimization in Automatic Speech Recognition0
Ultra-Low Power Keyword Spotting at the Edge0
AGGLIO: Global Optimization for Locally Convex FunctionsCode0
MultiHead MultiModal Deep Interest Recommendation Network0
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts0
Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization0
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data0
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and DirectionsCode0
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection0
An empirical investigation into audio pipeline approaches for classifying bird species0
Few-Shot Charge Prediction with Multi-Grained Features and MutualInformation0
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies0
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation0
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search0
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsCode0
A keyword-driven approach to science0
BatchQuant: Quantized-for-all Architecture Search with Robust QuantizerCode0
Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization0
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework0
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things0
Neural Process for Black-Box Model Optimization Under Bayesian Framework0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization0
Model Complexity of Deep Learning: A Survey0
Video Analytics on IoT devices0
Graph Embedding for Recommendation against Attribute Inference Attacks0
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization0
A stochastic geospatial epidemic model and simulation using an event modulated Gillespie algorithm0
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion0
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning0
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification0
3D Building Reconstruction From Monocular Remote Sensing Images0
Model Optimization for Deep Space Exploration via Simulators and Deep Learning0
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle QuantificationCode0
Untangling tradeoffs between recurrence and self-attention in artificial neural networks0
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 networks0
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 Classification0
A Fast Fully Octave Convolutional Neural Network for Document Image SegmentationCode0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering0
Comprehensive and Efficient Data Labeling via Adaptive Model Scheduling0
AutoScale: Learning to Scale for Crowd Counting and LocalizationCode0
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