NLPExplorer

RepL4NLP - 2021

Total Papers:- 33

Total Papers accross all years:- 106

Total Citations :- 0

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Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets

Lan Zhang | Victor Prokhorov | Ehsan Shareghi |

Predicting the Success of Domain Adaptation in Text Similarity

Nick Pogrebnyakov | Shohreh Shaghaghian |

In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval

Sheng-Chieh Lin | Jheng-Hong Yang | Jimmy Lin |

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Luyu Gao | Yunyi Zhang | Jiawei Han | Jamie Callan |

Entity and Evidence Guided Document-Level Relation Extraction

Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting

Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)

Box-To-Box Transformations for Modeling Joint Hierarchies

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders

Victor Prokhorov | Yingzhen Li | Ehsan Shareghi | Nigel Collier |

Probing Cross-Modal Representations in Multi-Step Relational Reasoning

Iuliia Parfenova | Desmond Elliott | Raquel Fernández | Sandro Pezzelle |

Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation

Abiola Obamuyide | Marina Fomicheva | Lucia Specia |

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions

Revisiting Pretraining with Adapters

Seungwon Kim | Alex Shum | Nathan Susanj | Jonathan Hilgart |

Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations

Xiaoyan Li | Sun Sun | Yunli Wang |