Pointer Networks

9 June 2015

Papers citing "Pointer Networks"

50 / 1,367 papers shown

Title
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness Michal Bouška P. Šůcha A. Novák Z. Hanzálek 35 9 0 19 Feb 2024
Discrete Neural Algorithmic Reasoning Gleb Rodionov Liudmila Prokhorenkova OOD NAI 42 3 0 18 Feb 2024
Neural paraphrasing by automatically crawled and aligned sentence pairs Achille Globo Antonio Trevisi Andrea Zugarini Leonardo Rigutini Marco Maggini S. Melacci 13 1 0 16 Feb 2024
Learning Better Representations From Less Data For Propositional Satisfiability Mohamed Ghanem Frederik Schmitt Julian Siber Bernd Finkbeiner NAI 25 0 0 13 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer Han Fang Zhihao Song Paul Weng Yutong Ban 31 9 0 04 Feb 2024
Building Guardrails for Large Language Models Yizhen Dong Ronghui Mu Gao Jin Yi Qi Jinwei Hu Xingyu Zhao Jie Meng Wenjie Ruan Xiaowei Huang OffRL 61 27 0 02 Feb 2024
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem Jaejin Lee Seho Kee Mani Janakiram George Runger OffRL 24 3 0 29 Jan 2024
GAPS: Geometry-Aware Problem Solver Jiaxin Zhang Yinghui Jiang Yashar Moshfeghi AIMat AI4CE 22 3 0 29 Jan 2024
BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometry Xiang Xu Joseph G. Lambourne P. Jayaraman Zhengqing Wang Karl D. D. Willis Yasutaka Furukawa DiffM AI4CE 28 33 0 28 Jan 2024
Self-Labeling the Job Shop Scheduling Problem Andrea Corsini Angelo Porrello Simone Calderara Mauro DellÁmico SSL 6 14 0 22 Jan 2024
MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction Ankan Mullick Akash Ghosh G. Chaitanya Samir Ghui Tapas Nayak Seung-Cheol Lee S. Bhattacharjee Pawan Goyal 11 10 0 18 Jan 2024
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality Niki Triantafyllou M. Papathanasiou 26 4 0 17 Jan 2024
Distance-aware Attention Reshaping: Enhance Generalization of Neural Solver for Large-scale Vehicle Routing Problems Yang Wang Ya-Hui Jia Wei-neng Chen Yi Mei 36 9 0 13 Jan 2024
Optimization of Discrete Parameters Using the Adaptive Gradient Method and Directed Evolution Andrei Beinarovich Sergey Stepanov Alexander Zaslavsky 46 0 0 12 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng M. Yuan Jianye Hao Jun Yao Kun Mao 30 1 0 11 Jan 2024
Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes Joshua Levin Randall Correll Takanori Ide Takafumi Suzuki Takaho Saito Alan Arai 15 0 0 08 Jan 2024
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 30 0 0 08 Jan 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model Fei Liu Xialiang Tong Mingxuan Yuan Xi Lin Fu Luo Zhenkun Wang Zhichao Lu Qingfu Zhang VLM 37 55 0 04 Jan 2024
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction Urchade Zaratiana Nadi Tomeh Pierre Holat Thierry Charnois 36 15 0 02 Jan 2024
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem Yuchen Shi Congying Han Tiande Guo 10 0 0 24 Dec 2023
Split and Rephrase with Large Language Models David Ponce Thierry Etchegoyhen Jesús Calleja-Perez Harritxu Gete ReLM LRM 38 2 0 18 Dec 2023
NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem Andrew B. Kahng Robert Nerem Yusu Wang Chien-Yi Yang 17 5 0 17 Dec 2023
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time Haoran Ye Jiarui Wang Helan Liang Zhiguang Cao Yong Li Fanzhang Li 34 32 0 13 Dec 2023
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation Wenjie Wu Changjun Fan Jin-Yu Huang Zhong Liu Junchi Yan 28 0 0 13 Dec 2023
Pointer Networks Trained Better via Evolutionary Algorithms Muyao Zhong Shengcai Liu Bingdong Li Haobo Fu Ke Tang Peng Yang 23 0 0 02 Dec 2023
Online Influence Maximization: Concept and Algorithm Jianxiong Guo 28 0 0 30 Nov 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 34 3 0 22 Nov 2023
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies Feng Wang M. C. Gursoy Senem Velipasalar AAML 11 1 0 19 Nov 2023
Multiple-Question Multiple-Answer Text-VQA Peng Tang Srikar Appalaraju R. Manmatha Yusheng Xie Vijay Mahadevan 46 5 0 15 Nov 2023
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach G. Marchetti Gabriele Cesa Kumar Pratik Arash Behboodi 31 2 0 14 Nov 2023
Combinatorial Optimization with Policy Adaptation using Latent Space Search Félix Chalumeau Shikha Surana Clément Bonnet Nathan Grinsztajn Arnu Pretorius Alexandre Laterre Thomas D. Barrett OffRL 29 20 0 13 Nov 2023
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making Dogacan Yilmaz ˙I. Esra B¨uy¨uktahtakın 16 12 0 12 Nov 2023
Controllable Topic-Focused Abstractive Summarization Seyed Ali Bahrainian Martin Jaggi Carsten Eickhoff 24 0 0 12 Nov 2023
Pointer Networks with Q-Learning for Combinatorial Optimization Alessandro Barro 17 0 0 05 Nov 2023
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols Iqra Qasim Alexander Horsch Dilip K. Prasad 19 5 0 05 Nov 2023
Large Language Models as Evolutionary Optimizers Shengcai Liu Caishun Chen Xinghua Qu Ke Tang Yew-Soon Ong 27 92 0 29 Oct 2023
Maximum Independent Set: Self-Training through Dynamic Programming Lorenzo Brusca Lars C.P.M. Quaedvlieg Stratis Skoulakis Grigorios G. Chrysos V. Cevher SSL 19 7 0 28 Oct 2023
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt Yining Ma Zhiguang Cao Yeow Meng Chee 29 37 0 27 Oct 2023
Automatic Logical Forms improve fidelity in Table-to-Text generation Iñigo Alonso Eneko Agirre LMTD 22 3 0 26 Oct 2023
tagE: Enabling an Embodied Agent to Understand Human Instructions Chayan Sarkar Avik Mitra Pradip Pramanick Tapas Nayak LM&Ro 36 1 0 24 Oct 2023
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions Cong Dao Tran Thong Bach Truong Son-Hy 31 0 0 24 Oct 2023
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs Cong Dao Tran Truong Son-Hy 16 0 0 24 Oct 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization Jinbiao Chen Jiahai Wang Zizhen Zhang Zhiguang Cao Te Ye Siyuan Chen 11 14 0 22 Oct 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement Jinbiao Chen Zizhen Zhang Zhiguang Cao Yaoxin Wu Yining Ma Te Ye Jiahai Wang 18 9 0 22 Oct 2023
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation Haoyang Liu Yufei Kuang Jie Wang Xijun Li Yongdong Zhang Feng Wu AAML 42 7 0 22 Oct 2023
Genetic Algorithms with Neural Cost Predictor for Solving Hierarchical Vehicle Routing Problems Abhay Sobhanan Junyoung Park Jinkyoo Park Changhyun Kwon 14 3 0 22 Oct 2023
Non-Autoregressive Sentence Ordering Yi Bin Wenhao Shi Bin Ji Jipeng Zhang Yujuan Ding Yang Yang 25 1 0 19 Oct 2023
Learning to Optimise Climate Sensor Placement using a Transformer Chen Wang Victoria Huang Gang Chen Hui Ma Bryce Chen Jochen Schmidt 17 0 0 18 Oct 2023
AMR Parsing with Causal Hierarchical Attention and Pointers Chao Lou Kewei Tu 3DV 38 2 0 18 Oct 2023
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning Yufei Kuang Xijun Li Jie Wang Fangzhou Zhu Meng Lu Zhihai Wang Jianguo Zeng Houqiang Li Yongdong Zhang Feng Wu 29 4 0 18 Oct 2023