Finding the Optimal Network Depth in Classification Tasks

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 3
1. Verfasser: Wójcik, Bartosz (VerfasserIn)
Weitere Verfasser: Wolczyk, Maciej (VerfasserIn), Balazy, Klaudia (VerfasserIn), Tabor, Jacek (VerfasserIn)
Pages:3
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Towards Description of Block Model on Graph 2021 Bai, Zilong
Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method 2021 Wang, Di
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution 2021 Zheng, Cheng
Robust Training of Graph Convolutional Networks via Latent Perturbation 2021 Jin, Hongwei
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation 2021 Picheny, Victor
Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections 2021 Chen, Lingwei
Information-Bottleneck Approach to Salient Region Discovery 2021 Zhmoginov, Andrey
Less Is More: Rejecting Unreliable Reviews for Product Question Answering 2021 Zhane, Shiwei
Inductive Document Representation Learning for Short Text Clustering 2021 Chen, Junyang
MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification 2021 Jia, Ziyu
Orthant Based Proximal Stochastic Gradient Method for l1 Regularized Optimization 2021 Chen, Tianyi
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting 2021 Gautheron, Léo
Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule 2021 Corani, Giorgio
End-to-End Learning for Prediction and Optimization with Gradient Boosting 2021 Konishi, Takuya
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization 2021 Vijaikumar, M.
Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation 2021 Ji, Yugang
Graph-Revised Convolutional Network 2021 Yu, Donghan
A Self-attention Network Based Node Embedding Model 2021 Nguyen, Dai Quoc
Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models 2021 Roijers, Diederik M.
MUMBO: MUlti-task Max-Value Bayesian Optimization 2021 Moss, Henry B.
Alle Artikel auflisten