| A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation | 0 | 0.34 | 2022 |
| RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. | 0 | 0.34 | 2022 |
| Contextualized Perturbation for Textual Adversarial Attack | 0 | 0.34 | 2021 |
| Automatic Document Sketching - Generating Drafts from Analogous Texts. | 0 | 0.34 | 2021 |
| InverseForm: A Loss Function for Structured Boundary-Aware Segmentation | 0 | 0.34 | 2021 |
| HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation. | 0 | 0.34 | 2021 |
| Data Augmentation For Abstractive Query-Focused Multi-Document Summarization | 0 | 0.34 | 2021 |
| X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation. | 0 | 0.34 | 2021 |
| A Controllable Model Of Grounded Response Generation | 0 | 0.34 | 2021 |
| Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. | 0 | 0.34 | 2020 |
| Complementary Auxiliary Classifiers for Label-Conditional Text Generation. | 0 | 0.34 | 2020 |
| Contextual Text Style Transfer | 0 | 0.34 | 2020 |
| Dialogue Response Ranking Training with Large-Scale Human Feedback Data. | 0 | 0.34 | 2020 |
| Contextual Re-Ranking with Behavior Aware Transformers | 1 | 0.36 | 2020 |
| Improving Text Generation with Student-Forcing Optimal Transport. | 0 | 0.34 | 2020 |
| Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation | 0 | 0.34 | 2020 |
| Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. | 0 | 0.34 | 2020 |
| Advancing weakly supervised cross-domain alignment with optimal transport. | 0 | 0.34 | 2020 |
| POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. | 1 | 0.35 | 2020 |
| Sequence Generation With Optimal-Transport-Enhanced Reinforcement Learning | 0 | 0.34 | 2020 |
| Improving Disentangled Text Representation Learning with Information-Theoretic Guidance | 0 | 0.34 | 2020 |
| Domain Adaptive Text Style Transfer | 3 | 0.36 | 2019 |
| Microsoft Icecaps: An Open-Source Toolkit For Conversation Modeling | 0 | 0.34 | 2019 |
| Structuring latent spaces for stylized response generation | 0 | 0.34 | 2019 |
| Improving Sequence-to-Sequence Learning via Optimal Transport. | 3 | 0.37 | 2019 |
| Latency Minimization for Full-Duplex Mobile-Edge Computing System | 0 | 0.34 | 2019 |
| Consistent Dialogue Generation with Self-supervised Feature Learning. | 1 | 0.35 | 2019 |
| Jointly Optimizing Diversity and Relevance in Neural Response Generation. | 1 | 0.35 | 2019 |
| A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC | 1 | 0.37 | 2019 |
| Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models. | 0 | 0.34 | 2019 |
| Low Complexity Decoding Scheme of Raptor-Like LDPC Code in Sufficient SNR Scenarios | 0 | 0.34 | 2019 |
| Joint Embedding of Words and Labels for Text Classification. | 0 | 0.34 | 2018 |
| Adversarial Text Generation via Feature-Mover's Distance. | 4 | 0.38 | 2018 |
| Deconvolutional Latent-Variable Model for Text Sequence Matching | 11 | 0.49 | 2018 |
| Joint Embedding Of Words And Labels For Text Classification | 7 | 0.41 | 2018 |
| Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. | 0 | 0.34 | 2018 |
| Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. | 8 | 0.44 | 2018 |
| Zero-Shot Learning via Class-Conditioned Deep Generative Models | 16 | 0.55 | 2018 |
| Baseline Needs More Love: On Simple Word-Embedding-Based Models And Associated Pooling Mechanisms | 9 | 0.45 | 2018 |
| JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. | 3 | 0.37 | 2018 |
| Triangle Generative Adversarial Networks. | 15 | 0.59 | 2017 |
| Stochastic Gradient Monomial Gamma Sampler. | 2 | 0.36 | 2017 |
| Adversarial Feature Matching for Text Generation. | 36 | 0.95 | 2017 |
| Deconvolutional Paragraph Representation Learning | 13 | 0.57 | 2017 |
| Laplacian Hamiltonian Monte Carlo. | 0 | 0.34 | 2016 |
| Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. | 0 | 0.34 | 2016 |
| Stochastic Gradient MCMC with Stale Gradients. | 2 | 0.39 | 2016 |
| Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. | 1 | 0.35 | 2016 |
| Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis | 0 | 0.34 | 2016 |
| Dynamic Poisson Factor Analysis | 0 | 0.34 | 2016 |
