Text Embeddings for Retrieval From a Large Knowledge Base
暂无分享,去创建一个
Xiaowei Xu | Christian Szegedy | Tolgahan Cakaloglu | Christian Szegedy | Tolgahan Cakaloglu | Xiaowei Xu
[1] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[2] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Jian Zhang,et al. SQuAD: 100,000+ Questions for Machine Comprehension of Text , 2016, EMNLP.
[4] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[5] Jian Wang,et al. Deep Metric Learning with Angular Loss , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Nan Hua,et al. Universal Sentence Encoder , 2018, ArXiv.
[7] Quoc V. Le,et al. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension , 2018, ICLR.
[8] Felix Hill,et al. Learning Distributed Representations of Sentences from Unlabelled Data , 2016, NAACL.
[9] Jason Weston,et al. Reading Wikipedia to Answer Open-Domain Questions , 2017, ACL.
[10] Nan Hua,et al. Universal Sentence Encoder for English , 2018, EMNLP.
[11] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[12] Peng Li,et al. Similarity Metric Learning for Face Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[13] Yang Song,et al. Learning Fine-Grained Image Similarity with Deep Ranking , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Thorsten Brants,et al. One billion word benchmark for measuring progress in statistical language modeling , 2013, INTERSPEECH.
[15] Hal Daumé,et al. Deep Unordered Composition Rivals Syntactic Methods for Text Classification , 2015, ACL.
[16] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[17] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[18] Samy Bengio,et al. Large Scale Online Learning of Image Similarity Through Ranking , 2009, J. Mach. Learn. Res..
[19] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[20] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[21] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[22] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[23] David G. Lowe,et al. Similarity Metric Learning for a Variable-Kernel Classifier , 1995, Neural Computation.
[24] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[25] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[26] Christian S. Perone,et al. Evaluation of sentence embeddings in downstream and linguistic probing tasks , 2018, ArXiv.
[27] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[29] Iryna Gurevych,et al. Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations , 2018, 1803.01400.
[30] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[31] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[32] Matteo Pagliardini,et al. Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features , 2017, NAACL.
[33] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[34] Sanja Fidler,et al. Skip-Thought Vectors , 2015, NIPS.
[35] Kihyuk Sohn,et al. Improved Deep Metric Learning with Multi-class N-pair Loss Objective , 2016, NIPS.
[36] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.