default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPKDD / ECML 2025: Porto, Portugal - Part I
- Rita P. Ribeiro
, Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI. Lecture Notes in Computer Science 16018, Springer 2026, ISBN 978-3-032-06105-8
Recommender Systems
- Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma:
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. 3-20 - Sibo Zhao, Michael Bewong, Selasi Kwashie, Junwei Hu, Zaiwen Feng:
RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation. 21-38
Reinforcement Learning
- Ali Beikmohammadi, Sarit Khirirat, Peter Richtárik, Sindri Magnússon:
Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis. 41-58 - Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen:
Reward Shaping for User Satisfaction. 59-76 - Jan Corazza, Hadi Partovi Aria, Hyohun Kim, Daniel Neider, Zhe Xu:
Decentralizing Multi-agent Reinforcement Learning with Temporal Causal Information. 77-94 - Junyu Hou:
De Novo Molecular Design Enabled by Direct Preference Optimization and Curriculum Learning. 95-111 - Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta:
Hybrid Cross-Domain Robust Reinforcement Learning. 112-128 - Pierre-François Massiani, Alexander von Rohr, Lukas Haverbeck, Sebastian Trimpe:
Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization. 129-145 - Minting Pan, Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang:
Continual Visual Reinforcement Learning with A Life-Long World Model. 146-162 - Yucheng Shi, David Lynch, Alexandros Agapitos:
UCB-Driven Utility Function Search for Multi-objective Reinforcement Learning. 163-178 - Zuojin Tang, Xiaoyu Chen, Yongqiang Li, Jianyu Chen:
Efficient and Generalized End-to-End Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations. 179-197 - Duo Xu, Faramarz Fekri:
Generalization of Compositional Tasks with Logical Specification via Implicit Planning. 198-215 - Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, Jun Wang, David Mguni:
A Bilevel Reinforcement Learning Framework with Language Prior Knowledge. 216-232
Representation Learning
- Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger:
Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation. 235-253 - Jeroen M. Galjaard, Robert Birke, Juan F. Pérez, Lydia Y. Chen:
BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise. 254-271 - Kaiyu Guo, Zijian Wang, Brian C. Lovell, Mahsa Baktashmotlagh:
Spectral Distribution Alignment for Enhanced Generalization in Regression. 272-288 - Ramya Hebbalaguppe, Tamoghno Kandar, Abhinav Nagpal, Chetan Arora:
Prompting without Panic: Attribute-Aware, Zero-Shot, Test-Time Calibration. 289-305 - Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann:
Leveraging Gradient Information for Out-of-Domain Performance Estimations. 306-321 - Tommy Chu, Alexander Kovalenko:
Projective Pruning for Decoupling Weights. 322-339 - Dong Li, Yong Wei, Xinyi Dong, Jingyou Sun, LinLin Ding, Yue Kou:
Two-Stage Temporal Knowledge Graph Completion Based on Reinforcement Learning. 340-358 - Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler:
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation. 359-375 - Renning Pang, Yao Liu, Yanglei Gan, Tingting Dai, Yashen Wang, Xiaojun Shi, Tian Lan, Qiao Liu:
Improving Temporal Knowledge Graph Reasoning with Hierarchical Semantic-Aware Contrastive Learning. 376-394 - Lucas Thil, Jesse Read, Rim Kaddah, Guillaume Florent Doquet:
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation. 395-411 - Toan Van Tran, Hung Son Nguyen:
Learnable Diffusion for Wavelets in Scattering Networks: Towards both Interpretability and Performance in Graph Representation Learning. 412-429 - Shifeng Xie, Aref Einizade, Jhony H. Giraldo:
Subgraph Gaussian Embedding Contrast for Self-supervised Graph Representation Learning. 430-447 - Haoyu Zhang, Yuxuan Cheng, Wenqi Fan, Yulong Chen, Yifan Zhang:
Rethinking Graph Domain Adaptation: A Spectral Contrastive Perspective. 448-464 - Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen:
Grouped Discrete Representation for Object-Centric Learning. 465-480 - Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, Shuteng Niu:
ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding. 481-496
Resource Efficiency
- Ali Aghababaei Harandi, Massih-Reza Amini:
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection. 499-515 - Francesc Marti Escofet, Benedikt Blumenstiel, Linus Scheibenreif, Paolo Fraccaro, Konrad Schindler:
Fine-Tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models. 516-532 - Yuhua Liu, Fanghao Hu, Haojun Huang, Bang Wang:
Transformer with Sparse Adaptive Mask for Network Dismantling. 533-550
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-11-11 22:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
