{"list":"other","total":53,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1706.02216","title":"Inductive Representation Learning on Large Graphs","created":"2017-06-07","cited_by_count":6320},{"id":"1607.06450","title":"Layer Normalization","created":"2016-07-21","cited_by_count":5669},{"id":"1301.3781","title":"Efficient Estimation of Word Representations in Vector Space","created":"2013-01-16","cited_by_count":4375},{"id":"1911.02116","title":"Unsupervised Cross-lingual Representation Learning at Scale","created":"2019-11-05","cited_by_count":3935},{"id":"1704.01212","title":"Neural Message Passing for Quantum Chemistry","created":"2017-04-04","cited_by_count":3487},{"id":"1903.02428","title":"Fast Graph Representation Learning with PyTorch Geometric","created":"2019-03-06","cited_by_count":2434},{"id":"1703.06103","title":"Modeling Relational Data with Graph Convolutional Networks","created":"2017-03-17","cited_by_count":1694},{"id":"1607.04606","title":"Enriching Word Vectors with Subword Information","created":"2016-07-15","cited_by_count":1583},{"id":"1801.07606","title":"Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning","created":"2018-01-22","cited_by_count":1102},{"id":"1901.07291","title":"Cross-lingual Language Model Pretraining","created":"2019-01-22","cited_by_count":1090},{"id":"1506.06724","title":"Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books","created":"2015-06-22","cited_by_count":1043},{"id":"1809.05053","title":"XNLI: Evaluating Cross-lingual Sentence Representations","created":"2018-09-13","cited_by_count":915},{"id":"2007.02133","title":"Simple and Deep Graph Convolutional Networks","created":"2020-07-04","cited_by_count":860},{"id":"2002.08546","title":"Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation","created":"2020-02-20","cited_by_count":848},{"id":"1404.7828","title":"Deep Learning in Neural Networks: An Overview","created":"2014-04-30","cited_by_count":770},{"id":"1903.07293","title":"Heterogeneous Graph Attention Network","created":"2019-03-18","cited_by_count":734},{"id":"2003.01332","title":"Heterogeneous Graph Transformer","created":"2020-03-03","cited_by_count":582},{"id":"1710.04087","title":"Word Translation Without Parallel Data","created":"2017-10-11","cited_by_count":487},{"id":"1809.05679","title":"Graph Convolutional Networks for Text Classification","created":"2018-09-15","cited_by_count":345},{"id":"1806.01242","title":"Graph networks as learnable physics engines for inference and control","created":"2018-06-04","cited_by_count":244},{"id":"2004.04393","title":"Universal Source-Free Domain Adaptation","created":"2020-04-09","cited_by_count":220},{"id":"1708.02182","title":"Regularizing and Optimizing LSTM Language Models","created":"2017-08-07","cited_by_count":205},{"id":"1907.04307","title":"Multilingual Universal Sentence Encoder for Semantic Retrieval","created":"2019-07-09","cited_by_count":193},{"id":"1309.4168","title":"Exploiting Similarities among Languages for Machine Translation","created":"2013-09-17","cited_by_count":191},{"id":"1604.02201","title":"Transfer Learning for Low-Resource Neural Machine Translation","created":"2016-04-08","cited_by_count":188},{"id":"2002.04688","title":"fastai: A Layered API for Deep Learning","created":"2020-02-11","cited_by_count":183},{"id":"1905.02850","title":"Understanding Attention and Generalization in Graph Neural Networks","created":"2019-05-08","cited_by_count":169},{"id":"1706.04902","title":"A Survey Of Cross-lingual Word Embedding Models","created":"2017-06-15","cited_by_count":143},{"id":"1708.00107","title":"Learned in Translation: Contextualized Word Vectors","created":"2017-08-01","cited_by_count":104},{"id":"1805.11222","title":"Unsupervised Alignment of Embeddings with Wasserstein Procrustes","created":"2018-05-29","cited_by_count":97},{"id":"2010.03648","title":"A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks","created":"2020-10-07","cited_by_count":72},{"id":"1804.07745","title":"Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion","created":"2018-04-20","cited_by_count":70},{"id":"1601.01343","title":"Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation","created":"2016-01-06","cited_by_count":48},{"id":"1808.09861","title":"Neural Cross-Lingual Named Entity Recognition with Minimal Resources","created":"2018-08-29","cited_by_count":44},{"id":"2005.13013","title":"English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too","created":"2020-05-26","cited_by_count":39},{"id":"1909.01638","title":"Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?","created":"2019-09-04","cited_by_count":31},{"id":"1903.12626","title":"Integrating Semantic Knowledge to Tackle Zero-shot Text Classification","created":"2019-03-29","cited_by_count":28},{"id":"1904.06062","title":"Unifying Heterogeneous Classifiers with Distillation","created":"2019-04-12","cited_by_count":25},{"id":"1602.07563","title":"Multilingual Twitter Sentiment Classification: The Role of Human Annotators","created":"2016-02-24","cited_by_count":24},{"id":"2009.12534","title":"iNLTK: Natural Language Toolkit for Indic Languages","created":"2020-09-26","cited_by_count":24},{"id":"1911.04081","title":"Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables","created":"2019-11-11","cited_by_count":21},{"id":"2007.02671","title":"Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences","created":"2020-07-06","cited_by_count":19},{"id":"1809.03633","title":"Unsupervised Cross-lingual Transfer of Word Embedding Spaces","created":"2018-09-10","cited_by_count":16},{"id":"1604.00425","title":"Cross-lingual Models of Word Embeddings: An Empirical Comparison","created":"2016-04-01","cited_by_count":12},{"id":"1606.09403","title":"Learning Crosslingual Word Embeddings without Bilingual Corpora","created":"2016-06-30","cited_by_count":12},{"id":"1911.12019","title":"word2word: A Collection of Bilingual Lexicons for 3,564 Language Pairs","created":"2019-11-27","cited_by_count":7},{"id":"2005.00524","title":"Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries","created":"2020-05-01","cited_by_count":7},{"id":"2010.02562","title":"Cross-Lingual Text Classification with Minimal Resources by Transferring a Sparse Teacher","created":"2020-10-06","cited_by_count":7},{"id":"2009.14510","title":"Cross-lingual Spoken Language Understanding with Regularized Representation Alignment","created":"2020-09-30","cited_by_count":5},{"id":"1812.09617","title":"Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification","created":"2018-12-22","cited_by_count":4}],"next_cursor":null}