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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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Projective Pruning for Decoupling Weights
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Chu, Tommy; Kovalenko, Alexander
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Prompting without Panic: Attribute-Aware, Zero-Shot, Test-Time Calibration
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Hebbalaguppe, Ramya; Kandar, Tamoghno; Nagpal, Abhinav; Arora, Chetan
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BatMan-CLR: Making Few-Shots Meta-learners Resilient Against Label Noise
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Galjaard, Jeroen M.; Birke, Robert; Perez, Juan F.; Chen, Lydia Y.
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Spectral Distribution Alignment for Enhanced Generalization in Regression
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Guo, Kaiyu; Wang, Zijian; Lovell, Brian C.; Baktashmotlagh, Mahsa
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Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Aslam, Muhammad Haseeb; Martinez, Clara; Pedersoli, Marco; Koerich, Alessandro Lameiras; Etemad, Ali; Granger, Eric
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Continual Visual Reinforcement Learning with A Life-Long World Model
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Pan, Minting; Zhang, Wendong; Chen, Geng; Zhu, Xiangming; Gao, Siyu; Wang, Yunbo; Yang, Xiaokang
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Generalization of Compositional Tasks with Logical Specification via Implicit Planning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Xu, Duo; Fekri, Faramarz
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Subgraph Gaussian Embedding Contrast for Self-supervised Graph Representation Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Xie, Shifeng; Einizade, Aref; Giraldo, Jhony H.
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Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Beikmohammadil, Ali; Khirirat, Sarit; Richtarik, Peter; Magnusson, Sindri
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De Novo Molecular Design Enabled by Direct Preference Optimization and Curriculum Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Hou, Junyu
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Leveraging Gradient Information for Out-of-Domain Performance Estimations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Khramtsova, Ekaterina; Baktashmotlagh, Mahsa; Zuccon, Guido; Wang, Xi; Salzmann, Mathieu
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Efficient and Generalized End-to-End Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Tang, Zuojin; Chen, Xiaoyu; Li, Yongqiang; Chen, Jianyu
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Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Marimo, Clive Tinashe; Blumenstiel, Benedikt; Nitsche, Maximilian; Jakubik, Johannes; Brunschwiler, Thomas
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Hybrid Cross-Domain Robust Reinforcement Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Linh Le Pham Van; Minh Hoang Nguyen; Le, Hung; Hung The Tran; Gupta, Sunil
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Viability of Future Actions: Robust Safety in Reinforcement Learning via Entropy Regularization
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Massiani, Pierre-Francois; von Rohr, Alexander; Haverbeck, Lukas; Trimpe, Sebastian
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UCB-Driven Utility Function Search for Multi-objective Reinforcement Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Shi, Yucheng; Lynch, David; Agapitos, Alexandros
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Transformer with Sparse Adaptive Mask for Network Dismantling
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Liu, Yu; Hu, Fanghao; Huang, Haojun; Wang, Bang
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Fine-Tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
1
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Escofet, Francesc Marti; Blumenstiel, Benedikt; Scheibenreif, Linus; Fraccaro, Paolo; Schindler, Konrad
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Improving Temporal Knowledge Graph Reasoning with Hierarchical Semantic-Aware Contrastive Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Pang, Renning; Liu, Yao; Gan, Yanglei; Dai, Tingting; Wang, Yashen; Shi, Xiaojun; Lan, Tian; Liu, Qiao
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Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VI
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2026-01-01
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Aghababaei-Harandi, Ali; Amini, Massih-Reza
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