TCN Paper Ideas: Difference between revisions
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(Created page with "Post ideas about interesting papers to read below. I ==Spring 2016== Ideas from the Nando Fretas AMA: * Teaching machines to read and comprehend, http://arxiv.org/abs/1506....") |
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* Teaching machines to read and comprehend, http://arxiv.org/abs/1506.03340[1 | * Teaching machines to read and comprehend, http://arxiv.org/abs/1506.03340[1] | ||
* Pointer networks, http://arxiv.org/abs/1506.03134[3] | * Pointer networks, http://arxiv.org/abs/1506.03134[3] | ||
* Neural GPUs learn algorithms, http://arxiv.org/abs/1511.08228[4] | * Neural GPUs learn algorithms, http://arxiv.org/abs/1511.08228[4] | ||
Revision as of 07:02, 27 December 2015
Post ideas about interesting papers to read below. I
Spring 2016
Ideas from the Nando Fretas AMA:
- Teaching machines to read and comprehend, http://arxiv.org/abs/1506.03340[1]
- Pointer networks, http://arxiv.org/abs/1506.03134[3]
- Neural GPUs learn algorithms, http://arxiv.org/abs/1511.08228[4]
- Learning to see by moving, http://arxiv.org/abs/1505.01596[5]
- Unitary evolution recurrent neural networks http://arxiv.org/abs/1511.06464[6]
- Action-Conditional Video Prediction using Deep Networks in Atari Games, http://arxiv.org/abs/1507.08750[7]
- Deep Reinforcement Learning with Double Q-learning, http://arxiv.org/abs/1509.06461[8]
- Towards Trainable Media: Using Waves for Neural Network-Style Training, http://arxiv.org/abs/1510.03776[9]
- Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis, http://www-personal.umich.edu/~reedscot/nips15_rotator_final.pdf[10]
- Hippocampal place cells construct reward related sequences through unexplored space
- Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images, http://arxiv.org/abs/1506.07365[11]
