What Makes Good In-Context Examples for GPT-3? | 0 | 0.34 | 2022 |
MixKD: Towards Efficient Distillation of Large-scale Language Models | 0 | 0.34 | 2021 |
Vision-Language Navigation Policy Learning and Adaptation | 0 | 0.34 | 2021 |
Improving Text Generation with Student-Forcing Optimal Transport. | 0 | 0.34 | 2020 |
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance | 0 | 0.34 | 2020 |
Improving Sequence-to-Sequence Learning via Optimal Transport. | 3 | 0.37 | 2019 |
An End-to-End Generative Architecture for Paraphrase Generation | 0 | 0.34 | 2019 |
Learning Compressed Sentence Representations for On-Device Text Processing. | 0 | 0.34 | 2019 |
Topic-Guided Variational Autoencoders for Text Generation. | 1 | 0.35 | 2019 |
Document Hashing with Mixture-Prior Generative Models | 1 | 0.36 | 2019 |
Joint Embedding of Words and Labels for Text Classification. | 0 | 0.34 | 2018 |
Sequence Generation with Guider Network. | 2 | 0.35 | 2018 |
Video Generation from Text | 5 | 0.41 | 2018 |
Adversarial Text Generation via Feature-Mover's Distance. | 4 | 0.38 | 2018 |
Diffusion Maps for Textual Network Embedding. | 0 | 0.34 | 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 |
Nash: Toward End-To-End Neural Architecture For Generative Semantic Hashing | 2 | 0.36 | 2018 |
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. | 0 | 0.34 | 2018 |
Reinforced Cross-Modal Matching And Self-Supervised Imitation Learning For Vision-Language Navigation | 14 | 0.52 | 2018 |
Baseline Needs More Love: On Simple Word-Embedding-Based Models And Associated Pooling Mechanisms | 9 | 0.45 | 2018 |
Learning Context-Aware Convolutional Filters for Text Processing. | 0 | 0.34 | 2018 |
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. | 0 | 0.34 | 2018 |
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. | 0 | 0.34 | 2018 |
Adversarial Feature Matching for Text Generation. | 36 | 0.95 | 2017 |
Deconvolutional Paragraph Representation Learning | 13 | 0.57 | 2017 |