Valpola, Harri

1. Semi-Supervised Learning with Ladder Networks
   2015/07/09 by Antti Rasmus, Rasmus, Antti, Harri Valpola +7 · 25 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
2. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
   2017/03/06 by Antti Tarvainen, Tarvainen, Antti, Harri Valpola +1 · 13 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
3. From neural PCA to deep unsupervised learning
   2014/11/28 by Valpola, Harri · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
4. Tagger: Deep Unsupervised Perceptual Grouping
   2016/06/21 by Greff, Klaus, Rasmus, Antti, Berglund, Mathias +3 · 2 citations
   #97R40 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
5. Efficient Knowledge Injection in LLMs via Self-Distillation
   2024/12/19 by Kalle Kujanpää, Kujanpää, Kalle, Harri Valpola +4 · 3 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
6. On the exact relationship between the denoising function and the data distribution
   2017/09/06 by Heikki Arponen, Arponen, Heikki, Matti Herranen +3 · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #NMR spectroscopy and applications #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
7. Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
   2025/02/03 by Minttu Alakuijala, Ya Gao, Alakuijala, Minttu +11 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
8. Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
   2018/12/10 by Norman Di Palo, Di Palo, Norman, Harri Valpola +1 · 1 citation
   Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reservoir Engineering and Simulation Methods #Robotics (cs.RO) #Space Satellite Systems and Control