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Simulated annealing for optimization of graphs and sequences

Simulated annealing for optimization of graphs and sequences

1 October 2021
Xianggen Liu
Pengyong Li
Fandong Meng
Hao Zhou
Huasong Zhong
Jie Zhou
Lili Mou
Sen Song
ArXivPDFHTML

Papers citing "Simulated annealing for optimization of graphs and sequences"

31 / 31 papers shown
Title
Unsupervised Text Generation by Learning from Search
Unsupervised Text Generation by Learning from Search
Jingjing Li
Zichao Li
Lili Mou
Xin Jiang
Michael R. Lyu
Irwin King
35
56
0
09 Jul 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang
Fei Wang
BDL
108
289
0
17 Jun 2020
Iterative Edit-Based Unsupervised Sentence Simplification
Iterative Edit-Based Unsupervised Sentence Simplification
Dhruv Kumar
Lili Mou
Lukasz Golab
Olga Vechtomova
102
67
0
17 Jun 2020
Discrete Optimization for Unsupervised Sentence Summarization with
  Word-Level Extraction
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Raphael Schumann
Lili Mou
Yao Lu
Olga Vechtomova
K. Markert
212
41
0
04 May 2020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and
  Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review
Jacinto Carrasco
S. García
M. Rueda
Swagatam Das
Francisco Herrera
25
409
0
21 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural Motifs
Hierarchical Generation of Molecular Graphs using Structural Motifs
Wengong Jin
Regina Barzilay
Tommi Jaakkola
54
283
0
08 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
152
434
0
26 Jan 2020
Unsupervised Paraphrasing by Simulated Annealing
Unsupervised Paraphrasing by Simulated Annealing
Xianggen Liu
Lili Mou
Fandong Meng
Hao Zhou
Jie Zhou
Sen Song
100
77
0
09 Sep 2019
Decomposable Neural Paraphrase Generation
Decomposable Neural Paraphrase Generation
Zichao Li
Xin Jiang
Lifeng Shang
Qun Liu
33
90
0
24 Jun 2019
EditNTS: An Neural Programmer-Interpreter Model for Sentence
  Simplification through Explicit Editing
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong
Zichao Li
Mehdi Rezagholizadeh
Jackie C.K. Cheung
42
158
0
19 Jun 2019
Lagging Inference Networks and Posterior Collapse in Variational
  Autoencoders
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He
Daniel M. Spokoyny
Graham Neubig
Taylor Berg-Kirkpatrick
BDL
DRL
56
273
0
16 Jan 2019
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao
Hao Zhou
Lili Mou
Rui Yan
Lei Li
123
192
0
14 Nov 2018
A task in a suit and a tie: paraphrase generation with semantic
  augmentation
A task in a suit and a tie: paraphrase generation with semantic augmentation
Su Wang
Rahul Gupta
Nancy Chang
Jason Baldridge
36
65
0
31 Oct 2018
Optimization of Molecules via Deep Reinforcement Learning
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou
S. Kearnes
Li Li
R. Zare
Patrick F. Riley
AI4CE
71
537
0
19 Oct 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
267
895
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
291
1,358
0
12 Feb 2018
Paraphrase Generation with Deep Reinforcement Learning
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
Xin Jiang
Lifeng Shang
Hang Li
OffRL
62
213
0
01 Nov 2017
Generating Sentences by Editing Prototypes
Generating Sentences by Editing Prototypes
Kelvin Guu
Tatsunori B. Hashimoto
Yonatan Oren
Percy Liang
120
316
0
26 Sep 2017
A Deep Generative Framework for Paraphrase Generation
A Deep Generative Framework for Paraphrase Generation
Ankush Gupta
Arvind Agarwal
Prawaan Singh
Piyush Rai
51
255
0
15 Sep 2017
A Continuously Growing Dataset of Sentential Paraphrases
A Continuously Growing Dataset of Sentential Paraphrases
Wuwei Lan
Siyu Qiu
Hua He
Wei Xu
LRM
52
166
0
01 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
185
4,006
0
14 Apr 2017
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram
  Features
Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
Matteo Pagliardini
Prakhar Gupta
Martin Jaggi
SSL
94
692
0
07 Mar 2017
Grammar Variational Autoencoder
Grammar Variational Autoencoder
Matt J. Kusner
Brooks Paige
José Miguel Hernández-Lobato
BDL
DRL
63
838
0
06 Mar 2017
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Neural Paraphrase Generation with Stacked Residual LSTM Networks
Aaditya (Adi) Prakash
Sadid A. Hasan
Kathy Lee
Vivek Datla
Ashequl Qadir
Joey Liu
Oladimeji Farri
35
264
0
10 Oct 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
125
2,911
0
07 Oct 2016
Sequence-to-Sequence Learning as Beam-Search Optimization
Sequence-to-Sequence Learning as Beam-Search Optimization
Sam Wiseman
Alexander M. Rush
104
591
0
09 Jun 2016
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
77
2,352
0
19 Nov 2015
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
86
1,192
0
13 Oct 2015
On Using Monolingual Corpora in Neural Machine Translation
On Using Monolingual Corpora in Neural Machine Translation
Çağlar Gülçehre
Orhan Firat
Kelvin Xu
Kyunghyun Cho
Loïc Barrault
Huei-Chi Lin
Fethi Bougares
Holger Schwenk
Yoshua Bengio
96
559
0
11 Mar 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
257
43,290
0
01 May 2014
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