Country
Fast Structured Decoding for Sequence Models
Zhiqing Sun, Zhuohan Li, Haoqing Wang, Di He, Zi Lin, Zhihong Deng
Neural Information Processing Systems http://nips.cc/
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
First, we construct asmall world graphrepresentation [31, 32] of a vocabulary. The nodes inthegraph arewords, each being represented using acontinuous vector transformed from its word embedding vector in the NLM.
Understanding Batch Normalization
Nils Bjorck, Carla P. Gomes, Bart Selman, Kilian Q. Weinberger
Its tendency to improve accuracy and speed up training have established BN as a favorite technique in deep learning.
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods
Supratik Paul, Vitaly Kurin, Shimon Whiteson
Neural Information Processing Systems http://nips.cc/
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations
Yifeng Fan, Tingran Gao, Zhizhen Jane Zhao
Fighting with thecurse of dimensionalityby leveraging low-dimensional intrinsic structures has become an important guiding principle in modern data science.
Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Neural Information Processing Systems http://nips.cc/
