Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation

22 October 2023

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

21 / 21 papers shown

Title
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 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 Christopher W. F. Parsonson Alexandre Laterre Thomas D. Barrett 51 19 0 28 May 2022
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 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 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 Marc Etheve Zacharie Alès Côme Bissuel Olivier Juan S. Kedad-Sidhoum 39 38 0 20 May 2020
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 Ilya Kostrikov Denis Yarats Rob Fergus OffRL 96 790 0 28 Apr 2020
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 Yunhao Tang Shipra Agrawal Yuri Faenza AI4CE 58 172 0 11 Jun 2019
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 Yoshua Bengio Andrea Lodi Antoine Prouvost 153 1,385 0 15 Nov 2018
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! W. Kool H. V. Hoof Max Welling 118 1,207 0 22 Mar 2018
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 Luis Perez Jason Wang 80 2,788 0 13 Dec 2017
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 John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 487 19,019 0 20 Jul 2017
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 Oriol Vinyals Meire Fortunato Navdeep Jaitly 118 3,050 0 09 Jun 2015