Deep Learning
Video Prediction via Selective Sampling
Jingwei Xu, Bingbing Ni, Xiaokang Yang
However, paired regression and adversarial loss still CANNOT solve image blur and motion deformation problems in principle.
Learning long-range spatial dependencies with horizontal gated recurrent units
Drew Linsley, Junkyung Kim, Vijay Veerabadran, Charles Windolf, Thomas Serre
Progress in deep learning has spawned great successes in many engineering applications.
Dirichlet belief networks for topic structure learning
He Zhao, Lan Du, Wray Buntine, Mingyuan Zhou
Recently, considerable research effort has been devoted to developing deep architectures for topic models to learn topic structures.
Step Size Matters in Deep Learning
As expected, the origin is the only equilibrium of this system.
Scalable methods for 8-bit training of neural networks
Ron Banner, Itay Hubara, Elad Hoffer, Daniel Soudry
However, as networks get deeper, using neural network (NN) algorithms and training them on conventional general-purpose digital hardware is highly inefficient.
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang, Yining Zhang, Zongpeng Li
State-of-the-art deep neural networks are often over-parameterized to deliver more expressive power.
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
In addition, the robustness of the model trained by this strategy depends on the attacks covered by the adversarial training examples.
Hierarchical Graph Representation Learning with Differentiable Pooling
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, Will Hamilton, Jure Leskovec
In this framework, we generate deep GNNs by "stacking" GNN
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Hajin Shim, Sung Ju Hwang, Eunho Yang
Neural Information Processing Systems http://nips.cc/
Variational Memory Encoder-Decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Introducing variability while maintaining coherence is a core task in learning to generate utterances in conversation.