Continual Learning for Sentence Representations Using Conceptors

Continual Learning for Sentence Representations Using Conceptors

18 April 2019

João Sedoc

Papers citing "Continual Learning for Sentence Representations Using Conceptors"

11 / 11 papers shown

Title
Unsupervised Post-processing of Word Vectors via Conceptor Negation Tianlin Liu L. Ungar João Sedoc SSL 42 20 0 17 Nov 2018
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors M. Khodak Nikunj Saunshi Yingyu Liang Tengyu Ma Brandon M Stewart Sanjeev Arora 80 100 0 14 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,159 0 20 Apr 2018
Universal Sentence Encoder Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco ... Steve Yuan Chris Tar Yun-hsuan Sung B. Strope R. Kurzweil 439 1,904 0 29 Mar 2018
The Rapidly Changing Landscape of Conversational Agents V. Mathur Arpit Singh LM&Ro LLMAG 31 8 0 22 Mar 2018
SentEval: An Evaluation Toolkit for Universal Sentence Representations Alexis Conneau Douwe Kiela 100 641 0 14 Mar 2018
Toward Continual Learning for Conversational Agents Sungjin Lee 46 41 0 28 Dec 2017
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features Matteo Pagliardini Prakhar Gupta Martin Jaggi SSL 155 694 0 07 Mar 2017
Enriching Word Vectors with Subword Information Piotr Bojanowski Edouard Grave Armand Joulin Tomas Mikolov NAI SSL VLM 229 9,966 0 15 Jul 2016
Controlling Recurrent Neural Networks by Conceptors H. Jaeger AI4CE 58 119 0 13 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 394 33,529 0 16 Oct 2013

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