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Pointer Networks
v1v2 (latest)

Pointer Networks

9 June 2015
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
ArXiv (abs)PDFHTML

Papers citing "Pointer Networks"

49 / 49 papers shown
Title
Learning for Dynamic Combinatorial Optimization without Training Data
Learning for Dynamic Combinatorial Optimization without Training Data
Yiqiao Liao
Farinaz Koushanfar
Parinaz Naghizadeh
GNNAI4CE
103
0
0
26 May 2025
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
Jinhui Yi
Huan Yan
Haotian Wang
Jian Yuan
Yongbin Li
AI4TS
162
1
0
01 May 2025
HoLa: B-Rep Generation using a Holistic Latent Representation
HoLa: B-Rep Generation using a Holistic Latent Representation
Yilin Liu
Duoteng Xu
Xingyao Yu
Xiang Xu
Daniel Cohen-Or
Hao Zhang
Hui Huang
AI4CE
95
1
0
19 Apr 2025
RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
Nathanael Beau
Benoît Crabbé
84
0
0
08 Apr 2025
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning
Anja Surina
Amin Mansouri
Lars Quaedvlieg
Amal Seddas
Maryna Viazovska
Emmanuel Abbe
Çağlar Gülçehre
90
3
0
07 Apr 2025
Deliberate Planning of 3D Bin Packing on Packing Configuration Trees
Deliberate Planning of 3D Bin Packing on Packing Configuration Trees
Hang Zhao
Juzhan Xu
Kexiong Yu
Ruizhen Hu
Chenyang Zhu
K. Xu
126
2
0
06 Apr 2025
Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
Alexandre Benoit
Pedram Asef
92
1
0
05 Mar 2025
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Learning to Reduce Search Space for Generalizable Neural Routing Solver
Changliang Zhou
Xi Lin
Zhenkun Wang
Qingfu Zhang
268
2
0
05 Mar 2025
Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization
Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization
Arman Mielke
Uwe Bauknecht
Thilo Strauss
Mathias Niepert
115
0
0
26 Feb 2025
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
171
0
0
18 Feb 2025
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
Yang Li
Jinpei Guo
Runzhong Wang
H. Zha
Junchi Yan
157
11
0
05 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
151
10
0
28 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu
Yu-Chang Wu
Xiaobin Huang
Chengrui Gao
Ren-Jian Wang
Ke Xue
Chao Qian
OffRL
235
2
0
12 Jan 2025
Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
Van Quang Nguyen
Quoc Chuong Nguyen
Thu Huong Dang
Truong-Son Hy
127
0
0
03 Jan 2025
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
Reinforcement Learning for Multi-Truck Vehicle Routing Problems
Randall Correll
Sean J. Weinberg
F. Sanches
Takanori Ide
Takafumi Suzuki
Alan Arai
82
2
0
31 Dec 2024
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM
Jingwei Xu
Chenyu Wang
Zibo Zhao
Wen Liu
Yi-An Ma
Shenghua Gao
105
18
0
07 Nov 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Entity-based Reinforcement Learning for Autonomous Cyber Defence
Isaac Symes Thompson
Alberto Caron
Chris Hicks
V. Mavroudis
AAML
157
3
0
23 Oct 2024
Neural Solver Selection for Combinatorial Optimization
Neural Solver Selection for Combinatorial Optimization
Chengrui Gao
Haopu Shang
Ke Xue
Chao Qian
80
0
0
13 Oct 2024
MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA
MM-Ego: Towards Building Egocentric Multimodal LLMs for Video QA
Hanrong Ye
Haotian Zhang
Erik Daxberger
Lin Chen
Zongyu Lin
...
Haoxuan You
Dan Xu
Zhe Gan
Jiasen Lu
Yinfei Yang
EgoVMLLM
147
14
0
09 Oct 2024
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
Derek Ming Siang Tan
Yixiao Ma
Jingsong Liang
Yi Cheng Chng
Yuhong Cao
Guillaume Sartoretti
96
5
0
07 Sep 2024
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
115
16
0
21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
238
7
0
01 Jun 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning
Andrew Holliday
A. El-geneidy
Gregory Dudek
78
0
0
08 Apr 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jiwoo Son
Jinkyoo Park
Yoshua Bengio
95
32
0
11 Mar 2024
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
Jiawei Lu
Tinghan Ye
Wenbo Chen
Pascal Van Hentenryck
AI4TS
81
0
0
08 Jan 2024
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
Giovanni Luca Marchetti
Gabriele Cesa
Kumar Pratik
Arash Behboodi
131
2
0
14 Nov 2023
Learning the Travelling Salesperson Problem Requires Rethinking
  Generalization
Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi
Quentin Cappart
Louis-Martin Rousseau
T. Laurent
191
120
0
12 Jun 2020
Pointer Graph Networks
Pointer Graph Networks
Petar Velivcković
Lars Buesing
Matthew Overlan
Razvan Pascanu
Oriol Vinyals
Charles Blundell
GNN
103
62
0
11 Jun 2020
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL
  Generation
TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation
Ningyuan Sun
Xuefeng Yang
Yunfeng Liu
LMTD
65
34
0
10 Jun 2020
Recent Advances and Challenges in Task-oriented Dialog System
Recent Advances and Challenges in Task-oriented Dialog System
Zheng Zhang
Ryuichi Takanobu
Qi Zhu
Minlie Huang
Xiaoyan Zhu
LLMAG
120
177
0
17 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
484
950
0
02 Mar 2020
Learning to Fix Build Errors with Graph2Diff Neural Networks
Learning to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
GNN
107
63
0
04 Nov 2019
What Gets Echoed? Understanding the "Pointers" in Explanations of
  Persuasive Arguments
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments
D. Atkinson
K. Srinivasan
Chenhao Tan
72
16
0
01 Nov 2019
Machine Comprehension by Text-to-Text Neural Question Generation
Machine Comprehension by Text-to-Text Neural Question Generation
Xingdi Yuan
Tong Wang
Çağlar Gülçehre
Alessandro Sordoni
Philip Bachman
Sandeep Subramanian
Saizheng Zhang
Adam Trischler
OOD
97
187
0
04 May 2017
Structural Embedding of Syntactic Trees for Machine Comprehension
Structural Embedding of Syntactic Trees for Machine Comprehension
R. Liu
Junjie Hu
Wei Wei
Zi Yang
Eric Nyberg
NAI
83
49
0
02 Mar 2017
An Attention-Based Deep Net for Learning to Rank
An Attention-Based Deep Net for Learning to Rank
Baiyang Wang
Diego Klabjan
45
14
0
20 Feb 2017
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
118
463
0
03 Feb 2017
Online Segment to Segment Neural Transduction
Online Segment to Segment Neural Transduction
Lei Yu
Jan Buys
Phil Blunsom
107
82
0
26 Sep 2016
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
338
2,898
0
26 Sep 2016
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
148
2,593
0
16 Feb 2015
Grammar as a Foreign Language
Grammar as a Foreign Language
Oriol Vinyals
Lukasz Kaiser
Terry Koo
Slav Petrov
Ilya Sutskever
Geoffrey E. Hinton
121
932
0
23 Dec 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
260
6,035
0
17 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
165
6,056
0
17 Nov 2014
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
108
2,331
0
20 Oct 2014
Learning to Execute
Learning to Execute
Wojciech Zaremba
Ilya Sutskever
ODL
90
560
0
17 Oct 2014
Memory Networks
Memory Networks
Jason Weston
S. Chopra
Antoine Bordes
GNNKELM
147
1,709
0
15 Oct 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
446
20,590
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
167
4,039
0
04 Aug 2013
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