3 papers
cs.LG2019
Relational Mimic for Visual Adversarial Imitation Learning
Lionel Blondé, Yichuan Charlie Tang, Jian Zhang +1
In this work, we introduce a new method for imitation learning from video demonstrations. Our method, Relational Mimic (RM), improves on previous visual imitation learning methods…
cs.LG2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges
Jason Ramapuram, Russ Webb
Modern neural network training relies on piece-wise (sub-)differentiable functions in order to use backpropagation to update model parameters. In this work, we introduce a novel me…
cs.CV2018
Variational Saccading: Efficient Inference for Large Resolution Images
Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda +2
Image classification with deep neural networks is typically restricted to images of small dimensionality such as 224 x 244 in Resnet models [24]. This limitation excludes the 4000…