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  8. Imagination-Augmented Agents for Deep Reinforcement Learning
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  10. Improving neural networks by preventing co-adaption of feature detectors
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  23. Learning Combinatorial Optimzation
  24. Learning The Difference That Makes A Difference With Counterfactually-Augmented Data
  25. Learning What and Where to Draw
  26. Learning the Number of Neurons in Deep Networks
  27. Learning to Navigate in Cities Without a Map
  28. Learning to Teach
  29. LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
  30. Loss Function Search for Face Recognition
  31. MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION
  32. Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
  33. MarrNet: 3D Shape Reconstruction via 2.5D Sketches
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  41. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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  43. Model Agnostic Learning of Semantic Features
  44. Modular Multitask Reinforcement Learning with Policy Sketches
  45. Multi-scale Dense Networks for Resource Efficient Image Classification
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  48. Neural Audio Synthesis of Musical Notes with WaveNet autoencoders
  49. Neural ODEs
  50. Neural Speed Reading via Skim-RNN

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