ECML/PKDD (4)

Keyphrases

Publications

2023

Vivek Srivastava, Savita Bhat, Niranjan Pedanekar
A Few Good Sentences: Content Selection for Abstractive Text Summarization. ECML/PKDD (4) (2023)
Rishi Hazra, Luc De Raedt
Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach. ECML/PKDD (4) (2023)
Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu
Filtered Observations for Model-Based Multi-agent Reinforcement Learning. ECML/PKDD (4) (2023)
Boyu Li, Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen
ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation. ECML/PKDD (4) (2023)
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) (2023)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. ECML/PKDD (4) (2023)
Jie Dai, Xuguang Chen
On the Distributional Convergence of Temporal Difference Learning. ECML/PKDD (4) (2023)
Pengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang
News Recommendation via Jointly Modeling Event Matching and Style Matching. ECML/PKDD (4) (2023)
Nan Jiang, Yexiang Xue
Symbolic Regression via Control Variable Genetic Programming. ECML/PKDD (4) (2023)
Amanda Bertschinger, Q. Tyrell Davis, James P. Bagrow, Josh C. Bongard
The Metric is the Message: Benchmarking Challenges for Neural Symbolic Regression. ECML/PKDD (4) (2023)
Nam Phuong Tran, Long Tran-Thanh
Invariant Lipschitz Bandits: A Side Observation Approach. ECML/PKDD (4) (2023)
Etika Agarwal, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally
A Scalable Solution for the Extended Multi-channel Facility Location Problem. ECML/PKDD (4) (2023)
Priyanka Chudasama, Tushar Kadam, Rajat Patel, Aakarsh Malhotra, Manoj Magam
Contrastive Representation Through Angle and Distance Based Loss for Partial Label Learning. ECML/PKDD (4) (2023)
Ying Sun, Hongwei Yong, Lei Zhang
NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networks. ECML/PKDD (4) (2023)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) (2023)
David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert
Learning Disentangled Discrete Representations. ECML/PKDD (4) (2023)
Manuele Bicego, Ferdinando Cicalese
On the Good Behaviour of Extremely Randomized Trees in Random Forest-Distance Computation. ECML/PKDD (4) (2023)
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting
Boosting Object Representation Learning via Motion and Object Continuity. ECML/PKDD (4) (2023)
Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang
Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms. ECML/PKDD (4) (2023)
Harshit Mishra, Sucheta Soundarajan
BalancedQR: A Framework for Balanced Query Recommendation. ECML/PKDD (4) (2023)
Victor Agostinelli, Lizhong Chen
Improving Autoregressive NLP Tasks via Modular Linearized Attention. ECML/PKDD (4) (2023)
Alfredo Reichlin, Giovanni Luca Marchetti, Hang Yin, Anastasiia Varava, Danica Kragic
Learning Geometric Representations of Objects via Interaction. ECML/PKDD (4) (2023)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) (2023)
Zhaohui Jiang, Paul Weng
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. ECML/PKDD (4) (2023)
Monika Jain, Kuldeep Singh, Raghava Mutharaju
ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction. ECML/PKDD (4) (2023)
Pranav Poduval, Gaurav Oberoi, Sangam Verma, Ayush Agarwal, Karamjit Singh, Siddhartha Asthana
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning. ECML/PKDD (4) (2023)
Neeraj Kumar, Ankur Narang, Brejesh Lall
KL Regularized Normalization Framework for Low Resource Tasks. ECML/PKDD (4) (2023)
Chuanyu Jiang, Yiming Qian, Lijun Chen, Yang Gu, Xia Xie
Unsupervised Deep Cross-Language Entity Alignment. ECML/PKDD (4) (2023)
Luca Sabbioni, Francesco Corda, Marcello Restelli
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes. ECML/PKDD (4) (2023)
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) (2023)
Weichen Li, Rati Devidze, Sophie Fellenz
Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning. ECML/PKDD (4) (2023)
Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) (2023)
Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou
SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Information Loss. ECML/PKDD (4) (2023)
Arpan Dasgupta, Pawan Kumar
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition. ECML/PKDD (4) (2023)
Chen Fan, Christos Thrampoulidis, Mark Schmidt
Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition. ECML/PKDD (4) (2023)
Jiayao Chen, Rui Wang, Jueying He, Mark Junjie Li
Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference. ECML/PKDD (4) (2023)
Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori
Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis. ECML/PKDD (4) (2023)
Luis Armando Pérez Rey, Giovanni Luca Marchetti, Danica Kragic, Dmitri Jarnikov, Mike Holenderski
Equivariant Representation Learning in the Presence of Stabilizers. ECML/PKDD (4) (2023)
Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) (2023)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
. ECML/PKDD (4) (2023)
Jan Wöhlke, Felix Schmitt, Herke van Hoof
Learning Hierarchical Planning-Based Policies from Offline Data. ECML/PKDD (4) (2023)
Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu
Enhancing Table Retrieval with Dual Graph Representations. ECML/PKDD (4) (2023)
Khadija Musayeva, Mickaël Binois
Improved Multi-label Propagation for Small Data with Multi-objective Optimization. ECML/PKDD (4) (2023)

volume 14172, 2023

Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part IV ECML/PKDD (4) 14172 (2023)

volume 13716, 2023

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV ECML/PKDD (4) 13716 (2023)

2022