| How Much Can CLIP Benefit Vision-and-Language Tasks? | 0 | 0.34 | 2022 |
| Discovering Non-monotonic Autoregressive Orderings with Variational Inference | 0 | 0.34 | 2021 |
| Adahessian: An Adaptive Second Order Optimizer For Machine Learning | 0 | 0.34 | 2021 |
| Discovering Non-monotonic Autoregressive Orderings with Variational Inference. | 0 | 0.34 | 2021 |
| Model Poisoning Defense on Federated Learning - A Validation Based Approach. | 0 | 0.34 | 2020 |
| On The Generation Of Medical Question-Answer Pairs | 0 | 0.34 | 2020 |
| PowerNorm - Rethinking Batch Normalization in Transformers. | 0 | 0.34 | 2020 |
| Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). | 0 | 0.34 | 2020 |
| MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. | 1 | 0.39 | 2020 |
| Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers | 0 | 0.34 | 2020 |
| Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification | 5 | 0.45 | 2019 |
| An Annotated Dataset of Literary Entities | 0 | 0.34 | 2019 |
| Pragmatically Informative Text Generation. | 0 | 0.34 | 2019 |
| Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. | 0 | 0.34 | 2018 |
| Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users. | 3 | 0.41 | 2017 |
| Towards Release Strategy Optimization for Apps in Google Play. | 1 | 0.34 | 2017 |
