Augmenting Open-Domain Event Detection with Synthetic Data from GPT-2

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 3: Research Track
1. Verfasser: Veyseh, Amir Pouran Ben (VerfasserIn)
Weitere Verfasser: Nguyen, Minh Van (VerfasserIn), Min, Bonan (VerfasserIn), Nguyen, Thien Huu (VerfasserIn)
Pages:3
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Disentanglement and Local Directions of Variance 2021 Rakowski, Alexander
Learning Disentangled Representations with the Wasserstein Autoencoder 2021 Gaujac, Benoit
Information Interaction Profile of Choice Adoption 2021 Poux-Médard, Gaël
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks 2021 Chin, Ting-Wu
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization 2021 Bi, Jia
Robust Regression via Model Based Methods 2021 Moharrer, Armin
Black-Box Optimizer with Stochastic Implicit Natural Gradient 2021 Lyu, Yueming
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization 2021 Dan, Soham
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction 2021 Yue, Yun
Adaptive Learning Rate and Momentum for Training Deep Neural Networks 2021 Hao, Zhiyong
Differentiable Feature Selection, A Reparameterization Approach 2021 Donà, Jérémie
Robust Selection Stability Estimation in Correlated Spaces 2021 Hamer, Victor
Reparameterized Sampling for Generative Adversarial Networks 2021 Wang, Yifei
VOGUE: Answer Verbalization Through Multi-Task Learning 2021 Kacupaj, Endri
NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction 2021 Zhang, Zhenyu
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients 2021 Zhu, Chen
Deep Conditional Transformation Models 2021 Baumann, Philipp F. M.
Neural Topic Models for Hierarchical Topic Detection and Visualization 2021 Pham, Dang
Bayesian Optimization with a Prior for the Optimum 2021 Souza, Artur
More General and Effective Model Compression via an Additive Combination of Compressions 2021 Idelbayev, Yerlan
Alle Artikel auflisten