Fictions of representation: narrative and the politics of self-making in the interwar American novel 

Noise-robust spectro-temporal acoustic signature recognition using nonlinear Hebbian learning 

The development of object recognition in the newborn brain 

Machine learning of motor skills for robotics 

Deep learning techniques for supervised pedestrian detection and critically-supervised object detection 

Visual knowledge transfer with deep learning techniques 

3D deep learning for perception and modeling 

Sample-efficient and robust neurosymbolic learning from demonstrations 

Modeling motor memory to enhance multiple task learning 

Machine learning in interacting multi-agent systems 

Quickly solving new tasks, with meta-learning and without 

Leveraging prior experience for scalable transfer in robot learning 

Computational models and model-based fMRI studies in motor learning 

High-throughput methods for simulation and deep reinforcement learning 

Positivity and generalized Teichmüller theory: dynamical and algebraic aspects 

Learning to diagnose from electronic health records data 

Enhancing collaboration on the edge: communication, scheduling and learning 

Scaling robot learning with skills 

Learning to detect and adapt to unpredicted changes 

Learning to optimize the geometry and appearance from images 

Artificial Decision Intelligence: integrating deep learning and combinatorial optimization 

Efficient machine learning techniques for low- and high-dimensional data sources 

Learning and control in decentralized stochastic systems 

Classification and retrieval of environmental sounds 

Program-guided framework for your interpreting and acquiring complex skills with learning robots