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Promoting Generalization for Exact Solvers via Adversarial Instance
  Augmentation

Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation

22 October 2023
Haoyang Liu
Yufei Kuang
Jie Wang
Xijun Li
Yongdong Zhang
Feng Wu
    AAML
ArXivPDFHTML

Papers citing "Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation"

21 / 21 papers shown
Title
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
81
25
0
01 Mar 2023
Lookback for Learning to Branch
Lookback for Learning to Branch
Prateek Gupta
Elias Boutros Khalil
Didier Chételat
Maxime Gasse
Yoshua Bengio
Andrea Lodi
M. P. Kumar
48
28
0
30 Jun 2022
Reinforcement Learning for Branch-and-Bound Optimisation using
  Retrospective Trajectories
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
Christopher W. F. Parsonson
Alexandre Laterre
Thomas D. Barrett
51
19
0
28 May 2022
Augment with Care: Contrastive Learning for Combinatorial Problems
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan
Pashootan Vaezipoor
Max B. Paulus
Yangjun Ruan
Chris J. Maddison
SSL
50
20
0
17 Feb 2022
Ecole: A Gym-like Library for Machine Learning in Combinatorial
  Optimization Solvers
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Antoine Prouvost
Justin Dumouchelle
Lara Scavuzzo
Maxime Gasse
Didier Chételat
Andrea Lodi
OffRL
70
47
0
11 Nov 2020
Hybrid Models for Learning to Branch
Hybrid Models for Learning to Branch
Prateek Gupta
Maxime Gasse
Elias Boutros Khalil
M. P. Kumar
Andrea Lodi
Yoshua Bengio
GNN
143
126
0
26 Jun 2020
Reinforcement Learning for Variable Selection in a Branch and Bound
  Algorithm
Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm
Marc Etheve
Zacharie Alès
Côme Bissuel
Olivier Juan
S. Kedad-Sidhoum
39
38
0
20 May 2020
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
81
660
0
30 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement
  Learning from Pixels
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov
Denis Yarats
Rob Fergus
OffRL
96
790
0
28 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
83
1,087
0
08 Apr 2020
Reinforcement Learning for Integer Programming: Learning to Cut
Reinforcement Learning for Integer Programming: Learning to Cut
Yunhao Tang
Shipra Agrawal
Yuri Faenza
AI4CE
55
172
0
11 Jun 2019
Exact Combinatorial Optimization with Graph Convolutional Neural
  Networks
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse
Didier Chételat
Nicola Ferroni
Laurent Charlin
Andrea Lodi
GNN
CML
134
485
0
04 Jun 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
153
1,385
0
15 Nov 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
119
784
0
30 May 2018
Attention, Learn to Solve Routing Problems!
Attention, Learn to Solve Routing Problems!
W. Kool
H. V. Hoof
Max Welling
118
1,207
0
22 Mar 2018
A Kernel Theory of Modern Data Augmentation
A Kernel Theory of Modern Data Augmentation
Tri Dao
Albert Gu
Alexander J. Ratner
Virginia Smith
Christopher De Sa
Christopher Ré
100
193
0
16 Mar 2018
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
80
2,788
0
13 Dec 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
90
3,635
0
16 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
478
19,019
0
20 Jul 2017
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
152
1,487
0
29 Nov 2016
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
118
3,050
0
09 Jun 2015
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