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Givens Coordinate Descent Methods for Rotation Matrix Learning in
  Trainable Embedding Indexes

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes

9 March 2022
Yunjiang Jiang
Han Zhang
Yiming Qiu
Yun Xiao
Bo Long
Wen-Yun Yang
ArXiv (abs)PDFHTML

Papers citing "Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes"

14 / 14 papers shown
Title
Learning Optimal Tree Models Under Beam Search
Learning Optimal Tree Models Under Beam Search
Jingwei Zhuo
Xinhang Li
Wei Dai
Ziru Xu
Han Li
Jian Xu
Kun Gai
55
59
0
27 Jun 2020
An Analysis of SVD for Deep Rotation Estimation
An Analysis of SVD for Deep Rotation Estimation
J. Levinson
Carlos Esteves
Kefan Chen
Noah Snavely
Angjoo Kanazawa
Afshin Rostamizadeh
A. Makadia
81
94
0
25 Jun 2020
Differentiable Product Quantization for End-to-End Embedding Compression
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen
Lala Li
Yizhou Sun
MQ
43
68
0
26 Aug 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
Chong Li
Zhiyuan Liu
Mengmeng Wu
Yuchi Xu
Pipei Huang
Huan Zhao
Guoliang Kang
Qiwei Chen
Wei Li
Lee
61
381
0
17 Apr 2019
Joint Optimization of Tree-based Index and Deep Model for Recommender
  Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Ziru Xu
Daqing Chang
Xinhang Li
Pengye Zhang
Xiang Li
Jie He
Han Li
Jian Xu
Kun Gai
66
96
0
19 Feb 2019
Cheap Orthogonal Constraints in Neural Networks: A Simple
  Parametrization of the Orthogonal and Unitary Group
Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group
Mario Lezcano Casado
David Martínez-Rubio
50
200
0
24 Jan 2019
On the Continuity of Rotation Representations in Neural Networks
On the Continuity of Rotation Representations in Neural Networks
Yi Zhou
Connelly Barnes
Jingwan Lu
Jimei Yang
Hao Li
3DH
80
1,294
0
17 Dec 2018
Learning Tree-based Deep Model for Recommender Systems
Learning Tree-based Deep Model for Recommender Systems
Ziru Xu
Xiang Li
Pengye Zhang
Guozheng Li
Jie He
Han Li
Kun Gai
98
293
0
08 Jan 2018
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
Kyle E. Helfrich
Devin Willmott
Qiang Ye
91
131
0
29 Jul 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,737
0
28 Feb 2017
Polysemous codes
Polysemous codes
Matthijs Douze
Hervé Jégou
Florent Perronnin
MQ
47
57
0
07 Sep 2016
Efficient and robust approximate nearest neighbor search using
  Hierarchical Navigable Small World graphs
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
Yury Malkov
Dmitry A. Yashunin
AI4TS
143
1,474
0
30 Mar 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
154
2,066
0
04 Feb 2016
Estimating or Propagating Gradients Through Stochastic Neurons for
  Conditional Computation
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio
Nicholas Léonard
Aaron Courville
390
3,154
0
15 Aug 2013
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