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Bio-Inspired Machine Intelligence
Bio-Inspired Machine Intelligence
Electrical and Computer Engineering, University of Michigan-Dearborn
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Home Interesting Papers

Interesting Papers

Autonomous Driving

  • Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues
  • Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
  • Deep Racing: Parameterized Trajectories for Autonomous Racing
  • Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention
  • BADGR: The Berkeley Autonomous Driving Ground Robot
  • DeepDriving: Learning affordance for direct perception in autonomous driving
  • Pseudo-LiDAR from visual depth perception
    • https://github.com/mileyan/pseudo_lidar
  • End to End Multi-Modal Multi Task Vehicle Control for Self Driving Cars with Visual Perceptions
  • End-to-End Object Detection with Transformers
  • Multi-View 3D Object Detection Network for Autonomous Driving

Embodied Cognition

  • A Neurobiologically Inspired Plan Towards Cognitive Machines

Feature Factorization

  • Deep Feature Factorization For Concept Discovery

Neuromodulated Plasticity

  • BACKPROPAMINE: TRAINING SELF-MODIFYING NEURAL NETWORKS WITH DIFFERENTIABLE NEUROMODULATED PLASTICITY

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