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Bölöni, Ladislau

  1. Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
    2017/07/10 by Rouhollah Rahmatizadeh, Rahmatizadeh, Rouhollah, Pooya Abolghasemi +5 · 12 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Robot Manipulation and Learning #cs.AI #cs.LG #cs.RO
  2. Unsupervised Meta-Learning For Few-Shot Image Classification
    2018/11/28 by Siavash Khodadadeh, Khodadadeh, Siavash, Ladislau Bölöni +3 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #cs.CV #cs.LG
  3. From virtual demonstration to real-world manipulation using LSTM and MDN
    2016/03/12 by Rouhollah Rahmatizadeh, Pooya Abolghasemi, Rahmatizadeh, Rouhollah +5 · 1 voice · 1 citation
    Computer Science · Engineering · Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotics (cs.RO) #Stroke Rehabilitation and Recovery #cs.AI #cs.LG #cs.RO
  4. THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech
    2023/11/11 by Almohaimeed, Saad, Almohaimeed, Saleh, Shafin, Ashfaq Ali +2 · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  5. Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
    2018/09/26 by Pooya Abolghasemi, Abolghasemi, Pooya, Amir Mazaheri +5 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO) #cs.AI #cs.LG #cs.RO
  6. Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
    2020/03/23 by Hassam Ullah Sheikh, Ladislau Bölöni, Sheikh, Hassam Ullah +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #cs.AI #cs.LG #cs.MA
  7. Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
    2020/06/18 by Siavash Khodadadeh, Sharare Zehtabian, Khodadadeh, Siavash +9 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  8. Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter
    2019/09/24 by Pooya Abolghasemi, Ladislau Bölöni, Abolghasemi, Pooya +1 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO) #cs.CV #cs.LG #cs.RO
  9. Xapagy: a cognitive architecture for narrative reasoning
    2011/05/17 by Ladislau Bölöni, Bölöni, Ladislau · 1 citation
    Computer Science · Psychology · #68T01 #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Child and Animal Learning Development #FOS: Computer and information sciences #I.2.0 #Speech and dialogue systems #acm:68T01 #cs.AI #msc:68T01