Wasserstein learning of deep generative point process models
- Shuai Xiao
- Mehrdad Farajtabar
- et al.
- 2017
- NeurIPS 2017
Conference paper
Publications
Mixture-rank matrix approximation for collaborative filtering
- Dongsheng Li
- Chao Chen
- et al.
- 2017
- NeurIPS 2017
Conference paperOptimized pre-processing for discrimination prevention
- Flavio Du Pin Calmon
- Dennis Wei
- et al.
- 2017
- NeurIPS 2017
Conference paperExperimental design for learning causal graphs with latent variables
- Murat Kocaoglu
- Karthikeyan Shanmugam
- et al.
- 2017
- NeurIPS 2017
Conference paperDilated recurrent neural networks
- Shiyu Chang
- Yang Zhang
- et al.
- 2017
- NeurIPS 2017
Conference paperCommunication-efficient distributed learning of discrete probability distributions
- Ilias Diakonikolas
- Elena Grigorescu
- et al.
- 2017
- NeurIPS 2017
Conference paperSelf-critical sequence training for image captioning
- Steven Rennie
- Etienne Marcheret
- et al.
- 2017
- CVPR 2017
Conference paperFully-adaptive feature sharing in multi-task networks with applications in person attribute classification
- Yongxi Lu
- Abhishek Kumar
- et al.
- 2017
- CVPR 2017
Conference paperFine-grained recognition of thousands of object categories with single-example training
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2017
- CVPR 2017
Conference paperS3Pool: Pooling with stochastic spatial sampling
- Shuangfei Zhai
- Hui Wu
- et al.
- 2017
- CVPR 2017
Conference paper