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Generative Models

7,221 papers

Papers per year

11
34
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Papers

On the Importance of Diversity in Question Generation for QA ACL 2020
Effective Estimation of Deep Generative Language Models ACL 2020
Variational Neural Machine Translation with Normalizing Flows ACL 2020
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting ACL 2020
SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020
Visual Question Generation from Radiology Images ACL 2020
End-to-End Speech Translation with Adversarial Training ACL 2020
CIMA: A Large Open Access Dialogue Dataset for Tutoring ACL 2020
A Comparative Study of Synthetic Data Generation Methods for Grammatical Error Correction ACL 2020
Disentangled Representations for Sequence Data using Information Bottleneck Principle ACML 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
Neural Topic Model with Attention for Supervised Learning AISTATS 2020
A Topology Layer for Machine Learning AISTATS 2020
Coping With Simulators That Don’t Always Return AISTATS 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020
Precision-Recall Curves Using Information Divergence Frontiers AISTATS 2020
GAIT: A Geometric Approach to Information Theory AISTATS 2020
A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020
The Expressive Power of a Class of Normalizing Flow Models AISTATS 2020
Adversarial Robustness of Flow-Based Generative Models AISTATS 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling AISTATS 2020
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words COLING 2020