Bauckhage, Christian
- Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
2022/10/03 by Rajkumar Ramamurthy, Ramamurthy, Rajkumar, Prithviraj Ammanabrolu +13 · 15 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
2023/06/27 by Sebastian Müller, Vanessa Toborek, Müller, Sebastian +9 · 7 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Stock Market Forecasting Methods
- Propagation Kernels
2014/10/13 by Marion Neumann, Roman Garnett, Neumann, Marion +5 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Video Surveillance and Tracking Methods #Data Management and Algorithms
- A New Aligned Simple German Corpus
2022/09/02 by Toborek, Vanessa, Busch, Moritz, Boßert, Malte +2 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- A Comparison of Methods for Player Clustering via Behavioral Telemetry
2014/07/15 by Drachen, Anders, Thurau, Christian, Sifa, Rafet +1 · 2 citations
#FOS: Computer and information sciences #H.2.8 #Human-Computer Interaction (cs.HC) #N/A
- k-Means Clustering Is Matrix Factorization
2015/12/23 by Bauckhage, Christian · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Dynamic Review-based Recommenders
2021/10/27 by Cvejoski, Kostadin, Sanchez, Ramses J., Bauckhage, Christian +1 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
2022/04/23 by Piatkowski, Nico, Gerlach, Thore, Hugues, Romain +3 · 1 citation
#C.3 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #I.2 #I.4 #Machine Learning (stat.ML) #Quantum Physics (quant-ph)
- Informed Pre-Training on Prior Knowledge
2022/05/23 by Laura von Rueden, von Rueden, Laura, Sebastian Houben +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Topic Modeling
- Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
2023/08/11 by Hillebrand, Lars, Berger, Armin, Deußer, Tobias +8 · 1 citation
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
- Neural Conditional Gradients
2018/03/12 by Patrick Schramowski, Christian Bauckhage, Schramowski, Patrick +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Informed Named Entity Recognition Decoding for Generative Language Models
2023/08/15 by Tobias Deußer, Lars Hillebrand, Deußer, Tobias +5 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications