On the Downstream Performance of Compressed Word Embeddings

On the Downstream Performance of Compressed Word Embeddings

3 September 2019

Christopher Ré

Papers citing "On the Downstream Performance of Compressed Word Embeddings"

13 / 13 papers shown

Title
ReSi: A Comprehensive Benchmark for Representational Similarity Measures Max Klabunde Tassilo Wald Tobias Schumacher Klaus H. Maier-Hein Markus Strohmaier Adriana Iamnitchi AI4TS VLM 197 6 0 13 Mar 2025
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 119 73 0 10 May 2023
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 50 101 0 24 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 95 3,147 0 01 Apr 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 137 758 0 25 Feb 2019
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 44 190 0 11 Dec 2018
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees H. Avron Michael Kapralov Cameron Musco Christopher Musco A. Velingker A. Zandieh 58 156 0 26 Apr 2018
Reading Wikipedia to Answer Open-Domain Questions Danqi Chen Adam Fisch Jason Weston Antoine Bordes RALM 108 2,007 0 31 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 878 6,781 0 26 Sep 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 239 8,113 0 16 Jun 2016
Globally Normalized Transition-Based Neural Networks D. Andor Chris Alberti David J. Weiss Aliaksei Severyn Alessandro Presta Kuzman Ganchev Slav Petrov Michael Collins 82 568 0 19 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 241 8,821 0 01 Oct 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 605 13,416 0 25 Aug 2014