Pointer Networks

9 June 2015

Papers citing "Pointer Networks"

50 / 1,367 papers shown

Title
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization Shengcai Liu Zhiyuan Wang Y. Ong Xin Yao Ke Tang OffRL 25 0 0 29 May 2024
Self-Guiding Exploration for Combinatorial Problems Zangir Iklassov Yali Du Farkhad Akimov Martin Takáč LRM 32 2 0 28 May 2024
InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning Guozheng Li Peng He Xinyu Wang Runfei Li Chi Harold Liu Chuangxin Ou Dong He Guoren Wang 41 1 0 27 May 2024
Leader Reward for POMO-Based Neural Combinatorial Optimization Chaoyang Wang Pengzhi Cheng Jingze Li Weiwei Sun 44 0 0 22 May 2024
GASE: Graph Attention Sampling with Edges Fusion for Solving Vehicle Routing Problems Zhenwei Wang Ruibin Bai Fazlullah Khan Ender Özcan Tiehua Zhang GNN 19 1 0 21 May 2024
Prompt Learning for Generalized Vehicle Routing Fei Liu Xi Lin Weiduo Liao Zhenkun Wang Qingfu Zhang Xialiang Tong Mingxuan Yuan VLM 42 3 0 20 May 2024
When Large Language Model Meets Optimization Sen Huang Kaixiang Yang Sheng Qi Rui Wang 49 9 0 16 May 2024
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data Piyush Garg Roshni Chakraborty Sourav Kumar Dandapat 25 2 0 10 May 2024
Test-Time Augmentation for Traveling Salesperson Problem Ryo Ishiyama Takahiro Shirakawa Seiichi Uchida Shinnosuke Matsuo 46 0 0 08 May 2024
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization Changliang Zhou Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 51 6 0 03 May 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts Jianan Zhou Zhiguang Cao Yaoxin Wu Wen Song Yining Ma Jie Zhang Chi Xu 54 18 0 02 May 2024
iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning Yifan Guo Zhongqiang Ren Chen Wang 14 3 0 01 May 2024
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering Charig Yang Weidi Xie Andrew Zisserman 34 1 0 25 Apr 2024
Distilling Privileged Information for Dubins Traveling Salesman Problems with Neighborhoods M. Shin Su-Jeong Park Seung-Keol Ryu Heeyeon Kim Han-Lim Choi 51 0 0 25 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming Jie Wang Zhihai Wang Xijun Li Yufei Kuang Zhihao Shi Fangzhou Zhu Mingxuan Yuan Jianguo Zeng Yongdong Zhang Feng Wu 48 7 0 19 Apr 2024
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory Hung Le D. Nguyen Kien Do Svetha Venkatesh T. Tran 23 0 0 18 Apr 2024
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem Bowen Fang Xu Chen Xuan Di 12 0 0 17 Apr 2024
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning Duy Phuong Nguyen J. P. Muñoz Ali Jannesari VLM 29 6 0 12 Apr 2024
Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning Andrew Holliday A. El-geneidy Gregory Dudek 27 0 0 08 Apr 2024
Transform then Explore: a Simple and Effective Technique for Exploratory Combinatorial Optimization with Reinforcement Learning Tianle Pu Changjun Fan Mutian Shen Yizhou Lu Li Zeng Z. Nussinov Chao Chen Zhong Liu OffRL 16 0 0 06 Apr 2024
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings Shubham Patel Divyaksh Shukla Ashutosh Modi 27 1 0 06 Apr 2024
Deep Reinforcement Learning for Traveling Purchaser Problems Haofeng Yuan Rong-Zhu Zhu Wanlu Yang Shiji Song Keyou You Yuli Zhang 30 0 0 03 Apr 2024
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief Daisuke Kikuta Hiroki Ikeuchi Kengo Tajiri Yuta Toyama Masaki Nakamura Yuusuke Nakano 19 0 0 03 Apr 2024
Metric Learning to Accelerate Convergence of Operator Splitting Methods for Differentiable Parametric Programming Ethan King James Kotary Ferdinando Fioretto Ján Drgoňa 32 2 0 01 Apr 2024
Learning to Plan for Language Modeling from Unlabeled Data Nathan Cornille Marie-Francine Moens Florian Mai 30 7 0 31 Mar 2024
Solving the QAP by Two-Stage Graph Pointer Networks and Reinforcement Learning Satoko Iida Ryota Yasudo 11 0 0 31 Mar 2024
SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs Hao Wu Fan Xu 34 3 0 29 Mar 2024
Self-Improved Learning for Scalable Neural Combinatorial Optimization Fu Luo Xi Lin Zhenkun Wang Xialiang Tong Mingxuan Yuan Qingfu Zhang 53 16 0 28 Mar 2024
Self-Improvement for Neural Combinatorial Optimization: Sample without Replacement, but Improvement Jonathan Pirnay D. G. Grimm 50 10 0 22 Mar 2024
Optimal path for Biomedical Text Summarization Using Pointer GPT Hyunkyung Han Jaesik Choi MedIm LM&MA 23 1 0 22 Mar 2024
TAMS: Translation-Assisted Morphological Segmentation Enora Rice Ali Marashian Luke Gessler Alexis Palmer K. Wense 27 0 0 21 Mar 2024
Span-Oriented Information Extraction -- A Unifying Perspective on Information Extraction Yifan Ding Michael Yankoski Tim Weninger 22 1 0 18 Mar 2024
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty T. Hejazi Zahra Ghadimkhani Arezoo Borji 16 0 0 17 Mar 2024
Deep Neural Crossover Eliad Shem Tov Achiya Elyasaf 14 2 0 17 Mar 2024
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That! Niyati Bafna Philipp Koehn David Yarowsky 32 1 0 16 Mar 2024
Deep Reinforcement Learning-based Large-scale Robot Exploration Yuhong Cao Rui Zhao Yizhuo Wang Bairan Xiang Guillaume Sartoretti 25 11 0 16 Mar 2024
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings Yuqing Du Yu Song Ce Guo Xiaojing Tian Dong Liu Ming Cong 3DPC 36 0 0 15 Mar 2024
Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem Imanol Echeverria M. Murua Roberto Santana 34 2 0 14 Mar 2024
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text Generation Francois Meyer Jan Buys 27 2 0 12 Mar 2024
Deep Reinforcement Learning for Modelling Protein Complexes Ziqi Gao Tao Feng Jiaxuan You Chenyi Zi Yan Zhou Chen Zhang Jia Li 48 5 0 11 Mar 2024
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem Runze Guo Feng Xue Anlong Ming N. Sebe 34 0 0 11 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 43 23 0 11 Mar 2024
RouteExplainer: An Explanation Framework for Vehicle Routing Problem Daisuke Kikuta Hiroki Ikeuchi Kengo Tajiri Yuusuke Nakano 31 1 0 06 Mar 2024
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations Lin Xu Qixian Zhou Jinlan Fu See-Kiong Ng 36 0 0 04 Mar 2024
Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem Samuel J. K. Chin Matthias Winkenbach Akash Srivastava 29 0 0 28 Feb 2024
Geometric Deep Learning for Computer-Aided Design: A Survey Negar Heidari Alexandros Iosifidis 3DPC 3DV AI4CE 41 4 0 27 Feb 2024
A Neural-Evolutionary Algorithm for Autonomous Transit Network Design Andrew Holliday Gregory Dudek 51 0 0 27 Feb 2024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization Fei Liu Xi Lin Zhenkun Wang Qingfu Zhang Xialiang Tong Mingxuan Yuan 29 18 0 23 Feb 2024
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization André Hottung Mridul Mahajan Kevin Tierney 16 9 0 21 Feb 2024